Remote Data Analyst Job - Binance Accelerator Program
Who may apply?
- Current university students and recent graduates
Apply Here:
https://kenyatrends.co.ke/ri5q
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Who may apply?
- Current university students and recent graduates
Apply Here:
https://kenyatrends.co.ke/ri5q
Global Tech Jobs Here๐
https://t.me/techpsyche
SHARE WITH YOUR FRIENDS๐ฅณ๐ฅณ
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
LLM's for the Messy Middle tasks.
Forwarded from Crypto Stract | Web 3, Finance, Business, Blockchain, Crypto, Growth, Stock Market, Money
This is a problem when people make 6 figures.
They ape into supercars and fancy stuff.
When they could have aped into investments and become decamillionaires.
Super short sighted.
โก๏ธ t.me/cryptostract
They ape into supercars and fancy stuff.
When they could have aped into investments and become decamillionaires.
Super short sighted.
โก๏ธ t.me/cryptostract
๐ Next-level charts in seconds
Tired of boring reports and lifeless slides? Weโve got you. Hereโs a roundup of tools to turn your data into clear, scroll-stopping visuals..fast.
โข Datawrapper: Perfect for quick charts right in your browser. Great when youโve got a meeting in 10 minutes and need to make the numbers look smart. Bonus: weekly inspo from the best visualizations.
โข Flourish: Want your charts to move? This oneโs for making interactive, animated graphics that actually hold attention. Even boring stats start to look cool.
โข RAWGraphs: An open-source tool for weird and wonderful custom charts. You can map your data into just about any shape. Yes, even a capybara.
๐ผ Save this for your next report. (https://t.me/dataanalysisresourcestp/181)
More Data Visualization Resources Here:
https://t.me/dataanalysisresourcestp
Tired of boring reports and lifeless slides? Weโve got you. Hereโs a roundup of tools to turn your data into clear, scroll-stopping visuals..fast.
โข Datawrapper: Perfect for quick charts right in your browser. Great when youโve got a meeting in 10 minutes and need to make the numbers look smart. Bonus: weekly inspo from the best visualizations.
โข Flourish: Want your charts to move? This oneโs for making interactive, animated graphics that actually hold attention. Even boring stats start to look cool.
โข RAWGraphs: An open-source tool for weird and wonderful custom charts. You can map your data into just about any shape. Yes, even a capybara.
๐ผ Save this for your next report. (https://t.me/dataanalysisresourcestp/181)
More Data Visualization Resources Here:
https://t.me/dataanalysisresourcestp
Complete Roadmap to land a Data Scientist job in 2025
Phase 1: Build Foundations (3-6 months)
1. Learn Python programming basics
2. Understand statistics and mathematics concepts (linear algebra, calculus, probability)
3. Familiarize yourself with data visualization tools (Matplotlib, Seaborn)
Phase 2: Data Science Skills (6-9 months)
1. Master machine learning algorithms (scikit-learn, TensorFlow)
2. Learn data manipulation frameworks (Pandas, NumPy)
3. Study data visualization libraries (Plotly, Bokeh)
4. Understand database management systems (SQL, NoSQL)
Phase 3: Practice and Projects (3-6 months)
1. Work on personal projects (Kaggle competitions, datasets)
2. Participate in data science communities (GitHub, Reddit)
3. Build a portfolio showcasing skills
Phase 4: Job Preparation (1-3 months)
1. Update resume and online profiles (LinkedIn)
2. Practice whiteboarding and coding interviews
3. Prepare answers for common data science questions
Best Resources to learn Data Science ๐๐
Python Tutorial (http://pythontutorial.net/)
Interview Process for Data Science Role at Amazon (https://t.me/datascienceresourcestp/104)
Data Science Course (http://kaggle.com/learn) by Kaggle
Machine Learning Course (http://developers.google.com/machine-learning/crash-course) by Google
Best Data Science & Machine Learning Resources (https://topmate.io/learning_resources/1406977)
Python Interview Resources (https://t.me/pythonresourcestp/40)
Like for more โค๏ธ
ENJOY LEARNING๐๐
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Phase 1: Build Foundations (3-6 months)
1. Learn Python programming basics
2. Understand statistics and mathematics concepts (linear algebra, calculus, probability)
3. Familiarize yourself with data visualization tools (Matplotlib, Seaborn)
Phase 2: Data Science Skills (6-9 months)
1. Master machine learning algorithms (scikit-learn, TensorFlow)
2. Learn data manipulation frameworks (Pandas, NumPy)
3. Study data visualization libraries (Plotly, Bokeh)
4. Understand database management systems (SQL, NoSQL)
Phase 3: Practice and Projects (3-6 months)
1. Work on personal projects (Kaggle competitions, datasets)
2. Participate in data science communities (GitHub, Reddit)
3. Build a portfolio showcasing skills
Phase 4: Job Preparation (1-3 months)
1. Update resume and online profiles (LinkedIn)
2. Practice whiteboarding and coding interviews
3. Prepare answers for common data science questions
Best Resources to learn Data Science ๐๐
Python Tutorial (http://pythontutorial.net/)
Interview Process for Data Science Role at Amazon (https://t.me/datascienceresourcestp/104)
Data Science Course (http://kaggle.com/learn) by Kaggle
Machine Learning Course (http://developers.google.com/machine-learning/crash-course) by Google
Best Data Science & Machine Learning Resources (https://topmate.io/learning_resources/1406977)
Python Interview Resources (https://t.me/pythonresourcestp/40)
Like for more โค๏ธ
ENJOY LEARNING๐๐
Follow This WhatsApp Channel for More Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
๐ซ๐ฎ ๐ด Man used AI to make child abuse images
A Scottish court has sentenced telecoms worker Risto Bergman, 42, to an 18-month Community Payback Order for generating child sex abuse images using artificial intelligence. Originally from Finland, Bergman used a publicly available AI app and explicit search terms to create highly realistic images of young girls being abused. Prosecutors revealed that the app relied on a digital archive of real child abuse material shared by pedophiles online.
Some of the AI-generated images were classified as Category A, the UKโs most extreme level of abuse content. The material was discovered on a storage unit in Bergmanโs former home in Paisley. Bergman pleaded guilty to the charges and was added to the sex offendersโ register, but avoided jail time. Prosecutor David Bernard emphasised that this was not a victimless crime, as each AI image depicted real children who had been abused to create the source material.
๐ t.me/techpsyche
A Scottish court has sentenced telecoms worker Risto Bergman, 42, to an 18-month Community Payback Order for generating child sex abuse images using artificial intelligence. Originally from Finland, Bergman used a publicly available AI app and explicit search terms to create highly realistic images of young girls being abused. Prosecutors revealed that the app relied on a digital archive of real child abuse material shared by pedophiles online.
Some of the AI-generated images were classified as Category A, the UKโs most extreme level of abuse content. The material was discovered on a storage unit in Bergmanโs former home in Paisley. Bergman pleaded guilty to the charges and was added to the sex offendersโ register, but avoided jail time. Prosecutor David Bernard emphasised that this was not a victimless crime, as each AI image depicted real children who had been abused to create the source material.
๐ t.me/techpsyche
Forwarded from Mobile Dev Resources . Android . iOS . Flutter . Kotlin . Swift . Java . React Native
๐ฌ Top 5 Must-Subscribe YouTube Channels for Flutter Developers ๐
1๏ธโฃ The Net Ninja โ Clear and concise Flutter tutorials, from beginner to advanced. Perfect for mastering the basics! ๐จโ๐ป
2๏ธโฃ Reso Coder โ Deep dives into Flutter architecture, best practices, and clean code techniques. ๐
3๏ธโฃ Flutter (Official) โ Stay updated with official tutorials, events, and Flutter releases straight from the source! ๐ข
4๏ธโฃ CodeWithChris โ Beginner-friendly tutorials with real-world Flutter app projects. Great for hands-on learning! ๐ฑ
5๏ธโฃ Johannes Milke โ Short and practical Flutter tips, covering widgets, packages, and UI design tricks. ๐ก
๐ฅ Pro Tip: Watch and code along to speed up your Flutter skills! ๐
Boost Your Flutter App Performance: https://t.me/mobiledevresourcestp/101
#flutter
1๏ธโฃ The Net Ninja โ Clear and concise Flutter tutorials, from beginner to advanced. Perfect for mastering the basics! ๐จโ๐ป
2๏ธโฃ Reso Coder โ Deep dives into Flutter architecture, best practices, and clean code techniques. ๐
3๏ธโฃ Flutter (Official) โ Stay updated with official tutorials, events, and Flutter releases straight from the source! ๐ข
4๏ธโฃ CodeWithChris โ Beginner-friendly tutorials with real-world Flutter app projects. Great for hands-on learning! ๐ฑ
5๏ธโฃ Johannes Milke โ Short and practical Flutter tips, covering widgets, packages, and UI design tricks. ๐ก
๐ฅ Pro Tip: Watch and code along to speed up your Flutter skills! ๐
Boost Your Flutter App Performance: https://t.me/mobiledevresourcestp/101
#flutter
Harvard CS50 โ Free Computer Science Course (2023 Edition)
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
Link: https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
CS50 from Harvard
http://cs50.harvard.edu/x/2023/certificate/
NVIDIA FREE AI Certification Courses
https://t.me/techpsyche/617
IBM Free Certification Courses
https://tinyurl.com/42nau8jx
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
Link: https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
CS50 from Harvard
http://cs50.harvard.edu/x/2023/certificate/
NVIDIA FREE AI Certification Courses
https://t.me/techpsyche/617
IBM Free Certification Courses
https://tinyurl.com/42nau8jx
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Artificial Intelligence Resources TP . AI Tools . AI Updates
Ai agents vs agentic AI.
INDIA๐Lexmark is hiring for Software Developer
Experience: 0 - 2 year's
Expected Salary: 8-16 LPA
Apply here: https://lexmark.wd1.myworkdayjobs.com/Lexmark/job/Lexmark-International-India/Software-Developer_R2840
WhatsApp Channel๐
https://whatsapp.com/channel/0029VbAqbkw6hENvEJZLl22d
Telegram Channel๐
https://t.me/jobsourceglobal
Forwarded from Machine Learning Resources TP
7 Baby steps to start with Machine Learning:
1. Start with Python
2. Learn to use Google Colab
3. Take a Pandas tutorial
4. Then a Seaborn tutorial
5. Decision Trees are a good first algorithm
6. Finish Kaggle's "Intro to Machine Learning"
7. Solve the Titanic challenge
ML Resources: t.me/mlresourcestp
1. Start with Python
2. Learn to use Google Colab
3. Take a Pandas tutorial
4. Then a Seaborn tutorial
5. Decision Trees are a good first algorithm
6. Finish Kaggle's "Intro to Machine Learning"
7. Solve the Titanic challenge
ML Resources: t.me/mlresourcestp
๐1
๐ง๐ผ๐ฝ ๐ฑ ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐๐ฅ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ป
* Data Science Foundations
* SQL for Data Science
* Python for Data Science
* Introduction to Data Science
* Data Science Projects
๐๐ข๐ง๐ค ๐:-
https://tinyurl.com/yzpdp26d
Enroll For FREE & Get Certified ๐
* Data Science Foundations
* SQL for Data Science
* Python for Data Science
* Introduction to Data Science
* Data Science Projects
๐๐ข๐ง๐ค ๐:-
https://tinyurl.com/yzpdp26d
Enroll For FREE & Get Certified ๐
Documentation as a Step towards Autonomy
Autonomy means less dependency on others. Fewer calls, chats and sync-ups. More asyncronous communication, more time and energy for your own tasks, less repeating questions and answers. Documentation helps in becoming more autonomous.
A team member wrote this on GitHub today: "It is updated according to the guidelines." That made me smile. We saved time โ he didn't ask for clarifications, I didn't have to repeat what was already explained to others.
I've started documenting everything: guidelines, code style, decisions, statuses. It's not just about freeing memory; it's about efficiency. No more repeating the same instructions or solutions to new team members. Write it once, share when needed. Without documentation, we'd face longer reviews, more change requests, and additional development cycles. It's a good argument for the business to invest time into documentation.
Often people imagine documentation as big READMEs or large wiki pages. But itโs wrong: documentation can be be concise playbooks, simple .md files, or short comments in code.
What we document:
โ Anything easily forgotten
โ Complex features & solutions
โ Code style and UI / UX guidelines
โ Architecture and organizational rules (like PR templates and naming conventions)
โ Reusability guidelines
โ Specific API configurations
โ Release build procedures (so anyone can handle it if necessary)
Good Documentation:
โ Easy to understand for newcomers.
โ Uses complex terms only when necessary.
โ Has short sentences, no unnecessary words.
โ Directly focused on the topic.
โ Grammatically correct, clear formatting, and logical structure.
โ Contains helpful links and references.
โ Provides practical examples for clarity.
โ Is not that extensive and detailed so it is hardly maintainable
Documenting might not seem exciting, but it's super important. It turns what we know into something everyone can use. This way, if someone leaves or forgets, the project doesn't suffer. Good documentation makes sure the team can keep working smoothly, no matter what changes. It's all about making sure everyone's on the same page and can find what they need without hassle.
๐ t.me/techpsyche
Autonomy means less dependency on others. Fewer calls, chats and sync-ups. More asyncronous communication, more time and energy for your own tasks, less repeating questions and answers. Documentation helps in becoming more autonomous.
A team member wrote this on GitHub today: "It is updated according to the guidelines." That made me smile. We saved time โ he didn't ask for clarifications, I didn't have to repeat what was already explained to others.
I've started documenting everything: guidelines, code style, decisions, statuses. It's not just about freeing memory; it's about efficiency. No more repeating the same instructions or solutions to new team members. Write it once, share when needed. Without documentation, we'd face longer reviews, more change requests, and additional development cycles. It's a good argument for the business to invest time into documentation.
Often people imagine documentation as big READMEs or large wiki pages. But itโs wrong: documentation can be be concise playbooks, simple .md files, or short comments in code.
What we document:
โ Anything easily forgotten
โ Complex features & solutions
โ Code style and UI / UX guidelines
โ Architecture and organizational rules (like PR templates and naming conventions)
โ Reusability guidelines
โ Specific API configurations
โ Release build procedures (so anyone can handle it if necessary)
Good Documentation:
โ Easy to understand for newcomers.
โ Uses complex terms only when necessary.
โ Has short sentences, no unnecessary words.
โ Directly focused on the topic.
โ Grammatically correct, clear formatting, and logical structure.
โ Contains helpful links and references.
โ Provides practical examples for clarity.
โ Is not that extensive and detailed so it is hardly maintainable
Documenting might not seem exciting, but it's super important. It turns what we know into something everyone can use. This way, if someone leaves or forgets, the project doesn't suffer. Good documentation makes sure the team can keep working smoothly, no matter what changes. It's all about making sure everyone's on the same page and can find what they need without hassle.
๐ t.me/techpsyche