Guys, incredible news ‼️
On October 8 Julien Simon will hold an online meetup "Simplifying dataset preparation with Amazon SageMaker Processing" , where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Registration >>> https://bit.ly/32X9h3P
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and on Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
As ML practitioners know, transforming raw data into a dataset ready for training is hard work. Converting data to the format expected by the algorithm, splitting and shuffling data, handling outliers, filling missing values, engineering new features: the list goes on! Indeed, running, scaling, and keeping track of these processing jobs can quickly add lots of extra cost and complexity to any ML project. In this session, we’ll start with a quick introduction of Amazon SageMaker, a fully-managed and modular service for ML. Then, we’ll discuss SageMaker Processing, a capability that lets you easily run and your data processing workloads without having to worry about infrastructure at all. We’ll also talk about SageMaker Experiments, another capability that makes it easy for you to organize, and track ML jobs at any scale. Of course, we’ll do a demo using Jupyter notebooks. This talk should be of interest to any ML developer and data scientist. Attendees should be reasonably familiar with Python as well as typical ML workflows. Basic knowledge on core AWS services (regions, EC2, S3, IAM) would be nice but isn’t mandatory.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: English
On October 8 Julien Simon will hold an online meetup "Simplifying dataset preparation with Amazon SageMaker Processing" , where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Registration >>> https://bit.ly/32X9h3P
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and on Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
As ML practitioners know, transforming raw data into a dataset ready for training is hard work. Converting data to the format expected by the algorithm, splitting and shuffling data, handling outliers, filling missing values, engineering new features: the list goes on! Indeed, running, scaling, and keeping track of these processing jobs can quickly add lots of extra cost and complexity to any ML project. In this session, we’ll start with a quick introduction of Amazon SageMaker, a fully-managed and modular service for ML. Then, we’ll discuss SageMaker Processing, a capability that lets you easily run and your data processing workloads without having to worry about infrastructure at all. We’ll also talk about SageMaker Experiments, another capability that makes it easy for you to organize, and track ML jobs at any scale. Of course, we’ll do a demo using Jupyter notebooks. This talk should be of interest to any ML developer and data scientist. Attendees should be reasonably familiar with Python as well as typical ML workflows. Basic knowledge on core AWS services (regions, EC2, S3, IAM) would be nice but isn’t mandatory.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: English
Hi Friends 🙌
We have already closed all speakers positions for Business and Tech tracks the 9th Data Science UA Conference and now we are in search of the best Speakers for our Workshop track during the Conference 😊
If you or your friend feel the power to conduct the top Workshop for our participants, do not hesitate to fill in the form: https://forms.gle/5v7G1KofoRYa66th7, and we will contact you and give feedback.
Become part of the most powerful Data Science community!
Join our Workshop track!
We have already closed all speakers positions for Business and Tech tracks the 9th Data Science UA Conference and now we are in search of the best Speakers for our Workshop track during the Conference 😊
If you or your friend feel the power to conduct the top Workshop for our participants, do not hesitate to fill in the form: https://forms.gle/5v7G1KofoRYa66th7, and we will contact you and give feedback.
Become part of the most powerful Data Science community!
Join our Workshop track!
Hi Friends 🙌
Ready to have some relax on this Friday night with #FridaywithDSUA?
Then turn on “Hi, AI”, a German documentary that was released in early 2019. The documentary was based on Chuck’s relationship with Harmony — an advanced humanoid robot. The film’s depiction of artificial intelligence is in sharp contrast with other fictional movies on AI. The documentary also depicts that even though human research is moving in the direction of creating advanced robots, interactions with robots still don’t have the same depth as human conversations. The film won the Max Ophüls Prize for best documentary for the year.
Enjoy your time 🤗
https://m.imdb.com/title/tt9081788/
Ready to have some relax on this Friday night with #FridaywithDSUA?
Then turn on “Hi, AI”, a German documentary that was released in early 2019. The documentary was based on Chuck’s relationship with Harmony — an advanced humanoid robot. The film’s depiction of artificial intelligence is in sharp contrast with other fictional movies on AI. The documentary also depicts that even though human research is moving in the direction of creating advanced robots, interactions with robots still don’t have the same depth as human conversations. The film won the Max Ophüls Prize for best documentary for the year.
Enjoy your time 🤗
https://m.imdb.com/title/tt9081788/
Hi, go through our weekly job digest and choose your project 🔥👇
📌 Junior/Middle Data Engineer — https://bit.ly/3il22XT
Our partner is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. Our team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.
📌 Senior/Lead Data Scientist — https://bit.ly/2GfGizg
An international leader in the native advertising market, founded in 2008. The platform helps the media monetize the audience, and the brands — to convey the correct advertising message to its consumers.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 Manual QA engineer — https://bit.ly/3gViTjh
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
📌 Junior/Middle Data Engineer — https://bit.ly/3il22XT
Our partner is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. Our team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.
📌 Senior/Lead Data Scientist — https://bit.ly/2GfGizg
An international leader in the native advertising market, founded in 2008. The platform helps the media monetize the audience, and the brands — to convey the correct advertising message to its consumers.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 Manual QA engineer — https://bit.ly/3gViTjh
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
Want to hear a talk from a very professional Amazon speaker? 🎉Friends, don't miss the chance, you will definitely remember it and want to hear his speech again!
On October 8 Julien Simon will hold an online meetup "Simplifying dataset preparation with Amazon SageMaker Processing", where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
On October 8 Julien Simon will hold an online meetup "Simplifying dataset preparation with Amazon SageMaker Processing", where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Hi Friends 🙌
This Friday in our weekly column #FridaywithDSUA we recommend the newest movie “Archive” (2020).
2038: George Almore is working on a true human-equivalent AI. His latest prototype is almost ready. This sensitive phase is also the riskiest. Especially as he has a goal that must be hidden at all costs: being reunited with his dead wife 🤔
https://m.imdb.com/title/tt6882604/
This Friday in our weekly column #FridaywithDSUA we recommend the newest movie “Archive” (2020).
2038: George Almore is working on a true human-equivalent AI. His latest prototype is almost ready. This sensitive phase is also the riskiest. Especially as he has a goal that must be hidden at all costs: being reunited with his dead wife 🤔
https://m.imdb.com/title/tt6882604/
Hi Friends 🙌
Only 2 days left before the webinar "Simplifying dataset preparation with Amazon SageMaker Processing” where Julien Simon will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Hurry up to register and get your ticket: https://data-science-ua.com/events/simplifying-dataset-preparation-with-amazon-sagemaker-processing-online-meetup/
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Only 2 days left before the webinar "Simplifying dataset preparation with Amazon SageMaker Processing” where Julien Simon will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Hurry up to register and get your ticket: https://data-science-ua.com/events/simplifying-dataset-preparation-with-amazon-sagemaker-processing-online-meetup/
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Friends, we will have an extremely cool event soon! It will be informative, fun, and interesting 🔜
On October 21 Data Science UA invites you to participate in the intriguing Online Panel discussion “Uncomfortable Questions About AI”.
Panel discussion language: Russian
We will discuss uneasy questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Nika Tamayo Flores, Head of Consulting Data Science UA
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
The evening and panel talk will be very hot, so book your time on October 21st and join the intriguing discussion.
You can leave your questions before the start at the Facebook page and the speakers will answer them within the event.
The authors of the most uncomfortable and memorable questions will get gifts from Data Science UA.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
On October 21 Data Science UA invites you to participate in the intriguing Online Panel discussion “Uncomfortable Questions About AI”.
Panel discussion language: Russian
We will discuss uneasy questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Nika Tamayo Flores, Head of Consulting Data Science UA
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
The evening and panel talk will be very hot, so book your time on October 21st and join the intriguing discussion.
You can leave your questions before the start at the Facebook page and the speakers will answer them within the event.
The authors of the most uncomfortable and memorable questions will get gifts from Data Science UA.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Hi Friends 🙌
Only 1 day left before the webinar "Simplifying dataset preparation with Amazon SageMaker Processing. Online meetup" 🔝
Tomorrow Julie Simon will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Hurry up to register and get your ticket: https://bit.ly/32X9h3P
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Only 1 day left before the webinar "Simplifying dataset preparation with Amazon SageMaker Processing. Online meetup" 🔝
Tomorrow Julie Simon will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
Hurry up to register and get your ticket: https://bit.ly/32X9h3P
👉 Julien Simon, Principal Developer Advocate, AI & Machine Learning at Amazon
As a Global AI & Machine Learning Evangelist, Julien focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, and also blogs on the AWS Blog and Medium.
🔝For 9th Data Science UA Online Conference attendees, participation in the webinar is free 💸 Just email us if you want to attend the event on info@data-science.com.ua
Hi Guys 🙌
Today you have a unique opportunity to buy 2 tickets for the price of 1 ticket 😱
You can grab your conference ticket here:
https://data-science-ua.com/conference/
and get the present 🎁 - your ticket to the webinar “Simplifying dataset preparation with Amazon SageMaker Processing. Online meetup” with Julien Simon on October 8th!
Today you have a unique opportunity to buy 2 tickets for the price of 1 ticket 😱
You can grab your conference ticket here:
https://data-science-ua.com/conference/
and get the present 🎁 - your ticket to the webinar “Simplifying dataset preparation with Amazon SageMaker Processing. Online meetup” with Julien Simon on October 8th!
Friends, there are a few hours left to register for a very interesting webinar 🔥 Today Julien Simon will hold an online meetup, where he will tell about Amazon SageMaker, a fully-managed and modular service for ML, and what capability lets you easily run and your data processing workloads without having to worry about infrastructure at all.
❗Registration: https://bit.ly/32X9h3P
Participants of the webinar, we will send a link with access to the event to you by mail at 18:00. Please check for a letter (it may be in spam).
If you do not find a letter from us, write to info@data-science.com.ua and we will send a letter again immediately 📩
10% of the money for the purchased tickets will be donated for Charity campaign of Group of Active Rehabilitation: https://bit.ly/DSUAforGAR
Report language: English
❗Registration: https://bit.ly/32X9h3P
Participants of the webinar, we will send a link with access to the event to you by mail at 18:00. Please check for a letter (it may be in spam).
If you do not find a letter from us, write to info@data-science.com.ua and we will send a letter again immediately 📩
10% of the money for the purchased tickets will be donated for Charity campaign of Group of Active Rehabilitation: https://bit.ly/DSUAforGAR
Report language: English
Welcome to our #FridaywithDSUA world, Friends 🙌
In order to save our world from danger, a curious teenage girl with a high interest in science, and a former genius inventor embark on an adventure-packed journey filled with evil machines, robots and, a technology paradise known as, “Tomorrowland" (2015) 🌎
Enjoy your Friday!
https://www.imdb.com/title/tt1964418/
In order to save our world from danger, a curious teenage girl with a high interest in science, and a former genius inventor embark on an adventure-packed journey filled with evil machines, robots and, a technology paradise known as, “Tomorrowland" (2015) 🌎
Enjoy your Friday!
https://www.imdb.com/title/tt1964418/
3 days before ticket price increases 🔥 Friends, we will have an extremely cool event soon! It will be informative, fun, and interesting 🔜
On October 21 Data Science UA invites you to participate in the intriguing Uncomfortable Questions About AI. Online Panel discussion.
Panel discussion language: Russian
We will discuss uneasy questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
🔹 Alexander Proskurin, Founder, CIO, Machine Factor Technologies
The moderator of the event will be 🔝 Veronica Tamayo Flores, Head of Consulting at Data Science UA!
The evening and panel talk will be very hot, so book your time on October 21st and join the intriguing discussion.
You can leave your questions before the start at the Facebook page and the speakers will answer them within the event.
The authors of the most uncomfortable and memorable questions will get gifts from Data Science UA.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
On October 21 Data Science UA invites you to participate in the intriguing Uncomfortable Questions About AI. Online Panel discussion.
Panel discussion language: Russian
We will discuss uneasy questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
🔹 Alexander Proskurin, Founder, CIO, Machine Factor Technologies
The moderator of the event will be 🔝 Veronica Tamayo Flores, Head of Consulting at Data Science UA!
The evening and panel talk will be very hot, so book your time on October 21st and join the intriguing discussion.
You can leave your questions before the start at the Facebook page and the speakers will answer them within the event.
The authors of the most uncomfortable and memorable questions will get gifts from Data Science UA.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
2 days before the ticket price increases 🔥 Hurry up to get a ticket for a cheaper price 🔜
On October 21 Data Science UA invites you to participate in the intriguing "Uncomfortable Questions About AI. Online Panel discussion"!
Registration >>> https://data-science-ua.com/.../uncomfortable-questions.../
We will discuss uneasy questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: Russian
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
🔹 Alexandr Proskurin, Founder, CIO, Machine Factor Technologies
The moderator of the event will be 🔝 Veronica Tamayo Flores, Head of Consulting at Data Science UA!
The evening and panel talk will be very hot, so book your time on October 21st and join the intriguing discussion.
On October 21 Data Science UA invites you to participate in the intriguing "Uncomfortable Questions About AI. Online Panel discussion"!
Registration >>> https://data-science-ua.com/.../uncomfortable-questions.../
We will discuss uneasy questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: Russian
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
🔹 Alexandr Proskurin, Founder, CIO, Machine Factor Technologies
The moderator of the event will be 🔝 Veronica Tamayo Flores, Head of Consulting at Data Science UA!
The evening and panel talk will be very hot, so book your time on October 21st and join the intriguing discussion.
Hi, go through our weekly job digest and choose your project 🔥👇
📌 Senior/Lead Data Scientist — https://bit.ly/2GfGizg
An international leader in the native advertising market, founded in 2008. The platform helps the media monetize the audience, and the brands — to convey the correct advertising message to its consumers.
📌 Senior 3D Developer — https://bit.ly/3779V11
The company is on a mission to bring deeper levels of personalization to the consumer shopping experience by turning body data into business intelligence and remove the challenge of fit communication between consumers and the places they love to shop.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
📌 Automation QA Engineer — https://bit.ly/2IuDJu5
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 3D Machine Learning Engineer — https://bit.ly/2H46cXc
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
📌 Senior/Lead Data Scientist — https://bit.ly/2GfGizg
An international leader in the native advertising market, founded in 2008. The platform helps the media monetize the audience, and the brands — to convey the correct advertising message to its consumers.
📌 Senior 3D Developer — https://bit.ly/3779V11
The company is on a mission to bring deeper levels of personalization to the consumer shopping experience by turning body data into business intelligence and remove the challenge of fit communication between consumers and the places they love to shop.
📌Technical Lead (Node/React) — https://bit.ly/3m5ezBO
📌 DevOps Engineer (with Python) — https://bit.ly/3c3D910
📌 Automation QA Engineer — https://bit.ly/2IuDJu5
The company is looking for a Team Lead that will work as a part of a team of multi-disciplined engineers. This is product-based company. The team is responsible for providing a full-stack self-service solution to clients and partners for planning, activation, measurement, and insights, tapping into the best of company’s proprietary data and analysis.
📌 BigData Developer with Python and SQL — https://bit.ly/2ZJaUzN
You are going to build innovative data pipelines for processing and analyzing client’s large user datasets (250 billion + events per month). A unique challenge with the role is being comfortable in developing varied technologies like custom transformation/integration apps in Python and Java, and pipelines in Spark, Kafka, Kinesis, transforming and analyzing in SQL.
📌 Machine Learning Research Engineer — https://bit.ly/3iBHD0X
📌 3D Machine Learning Engineer — https://bit.ly/2H46cXc
Our friends are a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several states of the art machine learning systems.
📌 Product Analyst — https://bit.ly/3kDB0wZ
A product-based company is looking for an ambitious and skilled Product analyst. They are developing a very cool product (market place). Join this team!
Send your resume on the cv@data-science.com.ua 🙂
For a successful recommendation, we will present you a ticket for our next event / full merch from Data Science UA.
Hi, Friends 😉
We are looking for talented active moderators for our 9th Data Science UA Conference, which will take place on November 20, 2020!
The conference will be held online because we care about your health and safety 🙏
If you or your colleagues are great at moderating large events, are interested in the data science sphere, please write to us at info@data-science.com.ua, and we will contact you for sure and provide the details.
We are looking forward to your answers! If you can recommend moderators, write to @brovkosha, please.
Let’s strengthen the Power of Community together 🙌
We are looking for talented active moderators for our 9th Data Science UA Conference, which will take place on November 20, 2020!
The conference will be held online because we care about your health and safety 🙏
If you or your colleagues are great at moderating large events, are interested in the data science sphere, please write to us at info@data-science.com.ua, and we will contact you for sure and provide the details.
We are looking forward to your answers! If you can recommend moderators, write to @brovkosha, please.
Let’s strengthen the Power of Community together 🙌
Welcome to our #FridaywithDSUA world 😊
Today we are watching “Eagle Eye” (2008) where Jerry and Rachel are two strangers thrown together by a mysterious phone call from a woman they have never met. Threatening their lives and family, she pushes Jerry and Rachel into a series of increasingly dangerous situations, using the technology of everyday life to track and control their every move.
Enjoy your Friday 🙌
https://www.imdb.com/title/tt1059786/
Today we are watching “Eagle Eye” (2008) where Jerry and Rachel are two strangers thrown together by a mysterious phone call from a woman they have never met. Threatening their lives and family, she pushes Jerry and Rachel into a series of increasingly dangerous situations, using the technology of everyday life to track and control their every move.
Enjoy your Friday 🙌
https://www.imdb.com/title/tt1059786/
Two days before the Online Panel discussion 🔥
Another cool participant joined the event — Oleksandr Romanko, Ph.D., Head of Quantitative Research, SS&C Algorithmics 🔝 Hurry up to get a ticket!
On October 21, Data Science UA invites you to participate in the intriguing “Uncomfortable Questions About AI. Online Panel discussion”!
Registration >>> https://data-science-ua.com/.../uncomfortable-questions.../
We will discuss awkward questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: Russian
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
🔹 Alexandr Proskurin, Founder, CIO, Machine Factor Technologies
🔹 Oleksandr Romanko, Ph.D., Head of Quantitative Research, SS&C Algorithmics
The moderator of the event will be 🔝 Veronica Tamayo Flores, Head of Consulting at Data Science UA!
The evening and panel talk will be very hot, so book your time on October 21 and join the intriguing discussion.
Another cool participant joined the event — Oleksandr Romanko, Ph.D., Head of Quantitative Research, SS&C Algorithmics 🔝 Hurry up to get a ticket!
On October 21, Data Science UA invites you to participate in the intriguing “Uncomfortable Questions About AI. Online Panel discussion”!
Registration >>> https://data-science-ua.com/.../uncomfortable-questions.../
We will discuss awkward questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: Russian
Data Science UA gathered the best speakers to talk on these issues:
🔹 Borys Pratsiuk, Chief Technology Officer at Scalarr
🔹 Alexandr Honchar, Entrepreneur, Advisor, and Author in AI at Neurons Lab
🔹 Alexandr Proskurin, Founder, CIO, Machine Factor Technologies
🔹 Oleksandr Romanko, Ph.D., Head of Quantitative Research, SS&C Algorithmics
The moderator of the event will be 🔝 Veronica Tamayo Flores, Head of Consulting at Data Science UA!
The evening and panel talk will be very hot, so book your time on October 21 and join the intriguing discussion.
One day before the Online Panel discussion ❗️❗️❗️ Hurry up to get a ticket!
Tomorrow at 19:00, Data Science UA invites you to participate in the intriguing “Uncomfortable Questions About AI. Online Panel discussion”!
Registration >>> https://data-science-ua.com/events/uncomfortable-questions-about-ai/
We will discuss awkward questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: Russian
The evening and panel talk will be very hot, so book your time on October 21 and join the intriguing discussion.
Tomorrow at 19:00, Data Science UA invites you to participate in the intriguing “Uncomfortable Questions About AI. Online Panel discussion”!
Registration >>> https://data-science-ua.com/events/uncomfortable-questions-about-ai/
We will discuss awkward questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: Russian
The evening and panel talk will be very hot, so book your time on October 21 and join the intriguing discussion.
Friends, there are a few hours left to register for a very interesting event 🔥 Today at 19:00, Data Science UA invites you to participate in the intriguing “Uncomfortable Questions About AI. Online Panel discussion”!
Registration >>> https://data-science-ua.com/events/uncomfortable-questions-about-ai/
❗️Participants of the panel discussion, we will send a link with access to the event to you by mail at 18:00. Please check for a letter (it may be in spam).
If you do not find a letter from us, write to info@data-science.com.ua and we will send a letter again immediately 📩
We will discuss awkward questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: Russian
The evening and panel talk will be very hot, so book your time on October 21 and join the intriguing discussion.
Registration >>> https://data-science-ua.com/events/uncomfortable-questions-about-ai/
❗️Participants of the panel discussion, we will send a link with access to the event to you by mail at 18:00. Please check for a letter (it may be in spam).
If you do not find a letter from us, write to info@data-science.com.ua and we will send a letter again immediately 📩
We will discuss awkward questions that are rarely asked:
✔️ Where to get data legally if you don’t have a dataset;
✔️ How to cope with bias in data;
✔️ Why machine learning is not always needed;
✔️ How to work with small and big data;
✔️ How much does AI really cost;
and much more.
10% of the money for the purchased tickets will be donated for the Charity campaign of Group of Active Rehabilitation.
Report language: Russian
The evening and panel talk will be very hot, so book your time on October 21 and join the intriguing discussion.
