Deep learning at Oxford 2015
π¬ 16 lessons
β° 15 hours
https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu
#deeplearning #oxford
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π¬ 16 lessons
β° 15 hours
https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu
#deeplearning #oxford
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*This channel belongs to @bigdataspecialist group
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Deep learning at Oxford 2015
A course I taught in 2015 at Oxford University with the help of Brendan Shillingford. More information here: http://www.cs.ox.ac.uk/teaching/courses/2014-201...
Get ready for second annual #NLPSummit by John Snow Labs.
Week One comes with 50+ unique sessions with a special track on #NLP in #Healthcare.
Week Two - beginner to advanced training workshops with certification.
Hear from industry leaders at NASA, Vonage, Zillow, Merck, Amazon, Walmart Labs, Booz Allen Hamilton, Morgan Stanley, Salesforce, Roku, Zillow and many more!
Free registration: https://www.nlpsummit.org/2021-events/
#ML #AI #digitalhealthcare #dataengineer #deeplearning
Week One comes with 50+ unique sessions with a special track on #NLP in #Healthcare.
Week Two - beginner to advanced training workshops with certification.
Hear from industry leaders at NASA, Vonage, Zillow, Merck, Amazon, Walmart Labs, Booz Allen Hamilton, Morgan Stanley, Salesforce, Roku, Zillow and many more!
Free registration: https://www.nlpsummit.org/2021-events/
#ML #AI #digitalhealthcare #dataengineer #deeplearning
Graph ML and deep learning courses
This is another post on your request. Other courses you requested will be shared in following days.
Geometric Deep learning course
AMMI21
π¨βπ« Teachers: Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar VeliΔkoviΔ
π12 lectures, 2 tutorials, and 4 seminars
This course follows GDL BOOK
π Course link: https://geometricdeeplearning.com/lectures/
Machine Learning for Graphs and Sequential Data (MLGS)
by Stephan GΓΌnnemann
Awesome course covering in depth generative models, robustness, sequential data, clustering, label propagation, GNNs, and more
π Course link: https://www.in.tum.de/daml/teaching/mlgs/
Stanford CS224W course on graph ML
A legendary Stanford CS224W course on graph ML now releases videos on YouTube for 2021
π¬ 60 Videos
β° 30h
π Course link
Python For Data Science (Udemy)
This course specifically created for Data Science / AI / ML / DL. It covers BASICS PYTHON ONLY
Rating βοΈ: 4.1 out of 5
Students π¨βπ: 65,523 students
Duration β°: 3hr 55min of on-demand video
π Course link
Deep Learning Prerequisites: The Numpy Stack in Python V2 (Udemy)
Rating βοΈ: 4.6 out of 5
Students π¨βπ: 34,785
Duration β°: 1hr 59min of on-demand video
π Course link
There is also this cool blogpost by GordiΔ Aleksa:
How to get started with Graph Machine Learning
And one early access version book:
Graph Powered Machine Learning
by: Allesandro Negro
π Book link
#graphML #ML #machinelearning #deeplearning #python
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
This is another post on your request. Other courses you requested will be shared in following days.
Geometric Deep learning course
AMMI21
π¨βπ« Teachers: Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar VeliΔkoviΔ
π12 lectures, 2 tutorials, and 4 seminars
This course follows GDL BOOK
π Course link: https://geometricdeeplearning.com/lectures/
Machine Learning for Graphs and Sequential Data (MLGS)
by Stephan GΓΌnnemann
Awesome course covering in depth generative models, robustness, sequential data, clustering, label propagation, GNNs, and more
π Course link: https://www.in.tum.de/daml/teaching/mlgs/
Stanford CS224W course on graph ML
A legendary Stanford CS224W course on graph ML now releases videos on YouTube for 2021
π¬ 60 Videos
β° 30h
π Course link
Python For Data Science (Udemy)
This course specifically created for Data Science / AI / ML / DL. It covers BASICS PYTHON ONLY
Rating βοΈ: 4.1 out of 5
Students π¨βπ: 65,523 students
Duration β°: 3hr 55min of on-demand video
π Course link
Deep Learning Prerequisites: The Numpy Stack in Python V2 (Udemy)
Rating βοΈ: 4.6 out of 5
Students π¨βπ: 34,785
Duration β°: 1hr 59min of on-demand video
π Course link
There is also this cool blogpost by GordiΔ Aleksa:
How to get started with Graph Machine Learning
And one early access version book:
Graph Powered Machine Learning
by: Allesandro Negro
π Book link
#graphML #ML #machinelearning #deeplearning #python
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
Geometricdeeplearning
GDL Course
Grids, Groups, Graphs, Geodesics, and Gauges
Lectures for UC Berkeley CS 182: Deep Learning
Spring 2021
π¬ 66 videos
β° 26 hours
https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A
#deeplearning
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*This channel belongs to @bigdataspecialist group
Spring 2021
π¬ 66 videos
β° 26 hours
https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A
#deeplearning
ββββββββββββββ
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*This channel belongs to @bigdataspecialist group
YouTube
Deep Learning: CS 182 Spring 2021
Lectures for UC Berkeley CS 182: Deep Learning.
Deep Learning free courses
Introduction to Deep Learning
π¬ 10 video lesson
Duration β°: 1 week worth of material
πββοΈ Self paced
π Notes, π¨βπ« Labs and many more
β’οΈ Projects, Competitions
Teacher: Alexander Amini, Ava Soleimany
Source: MIT
π Course link
Practical Deep Learning For Coders
π¬ 8 video lessons
π Book Read online
π Notes, π¨βπ« Labs and many more
Duration β°: 7 weeks long, 10 hours a week
πββοΈ Self paced
Teacher: Jeremy Howard
Source: fast.ai
π Course link
Deep Learning
by Kaggle, on youtube
π¬ 13 video lesson
Duration β°: 2 hours worth of material
π Course link
Learn Deep Learning and TensorFlow, without a Ph.D.
π¬ 8 video lesson
Duration β°: 3 hours worth of material
πββοΈ Self paced
π Notes, slides
Teacher: Martin GΓΆrner
Source: Google Cloud
π Course link
Explore Deep Learning for Natural Language Processing
π¬ 9 video lesson
Duration β°: 7-8 hours worth of material
πββοΈ Self paced
Resource: Trailhead
π Course link
Deep Learning Summer School
π¬ 35 video lesson
Duration β°: 35+ hours
πββοΈ Self paced
Resource: deeplearning
π Course link
Deep Learning Prerequisites: The Numpy Stack in Python V2
Rating βοΈ: 4.5 out of 5
Students π¨βπ: 2230
Duration β°: 1hr 59min
Created by Lazy Programmer Team, Lazy Programmer Inc.
π Course link
AI 101 Video Presentation
presentation given by π¨βπ«: MITβs Brandon Leshchinskiy
π Presentation link
Deep Learning in Life Sciences - Spring 2021
π¬ 22 video lesson
Duration β°: 31 hours worth of material
πββοΈ Self paced
Teacher: Manolis Kellis
Resource: Class Central
π Course link
Intro to Deep Learning
by Kaggle
Use TensorFlow and Keras to build and train neural networks for structured data.
Duration β°: 4 hours
π Course link
Deep Learning An MIT Press book π
Authers: Ian Goodfellow, Yoshua Bengio and Aaron Courville
π Book link
#Deep_Learning #deeplearning #dl #machinelearning
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
Introduction to Deep Learning
π¬ 10 video lesson
Duration β°: 1 week worth of material
πββοΈ Self paced
π Notes, π¨βπ« Labs and many more
β’οΈ Projects, Competitions
Teacher: Alexander Amini, Ava Soleimany
Source: MIT
π Course link
Practical Deep Learning For Coders
π¬ 8 video lessons
π Book Read online
π Notes, π¨βπ« Labs and many more
Duration β°: 7 weeks long, 10 hours a week
πββοΈ Self paced
Teacher: Jeremy Howard
Source: fast.ai
π Course link
Deep Learning
by Kaggle, on youtube
π¬ 13 video lesson
Duration β°: 2 hours worth of material
π Course link
Learn Deep Learning and TensorFlow, without a Ph.D.
π¬ 8 video lesson
Duration β°: 3 hours worth of material
πββοΈ Self paced
π Notes, slides
Teacher: Martin GΓΆrner
Source: Google Cloud
π Course link
Explore Deep Learning for Natural Language Processing
π¬ 9 video lesson
Duration β°: 7-8 hours worth of material
πββοΈ Self paced
Resource: Trailhead
π Course link
Deep Learning Summer School
π¬ 35 video lesson
Duration β°: 35+ hours
πββοΈ Self paced
Resource: deeplearning
π Course link
Deep Learning Prerequisites: The Numpy Stack in Python V2
Rating βοΈ: 4.5 out of 5
Students π¨βπ: 2230
Duration β°: 1hr 59min
Created by Lazy Programmer Team, Lazy Programmer Inc.
π Course link
AI 101 Video Presentation
presentation given by π¨βπ«: MITβs Brandon Leshchinskiy
π Presentation link
Deep Learning in Life Sciences - Spring 2021
π¬ 22 video lesson
Duration β°: 31 hours worth of material
πββοΈ Self paced
Teacher: Manolis Kellis
Resource: Class Central
π Course link
Intro to Deep Learning
by Kaggle
Use TensorFlow and Keras to build and train neural networks for structured data.
Duration β°: 4 hours
π Course link
Deep Learning An MIT Press book π
Authers: Ian Goodfellow, Yoshua Bengio and Aaron Courville
π Book link
#Deep_Learning #deeplearning #dl #machinelearning
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
MIT Deep Learning 6.S191
MIT's introductory course on deep learning methods and applications
Hello Dearπ!!!
Have you heard of The Python For Machine Learning International Bootcamp coming up on the 12th of September?
Link: Click Me
If you haven't, Global AI Hub is organizing a FREE ONE-MONTH INTENSIVE boot camp on python for machine learning.
This is a chance to improve yourselves in subjects such as Pythonπ, #machinelearningπ, #datascienceπ, and #deeplearningπ!!!
In addition, you will be able to develop your portfolios βΊοΈ with the project workπ that you will do from scratch under the guidance of mentors!!!π
Does this look very interesting to you, click the link in this post to register
Link: Click Me
DEADLINEπ±π± : 7th September 2022
Have you heard of The Python For Machine Learning International Bootcamp coming up on the 12th of September?
Link: Click Me
If you haven't, Global AI Hub is organizing a FREE ONE-MONTH INTENSIVE boot camp on python for machine learning.
This is a chance to improve yourselves in subjects such as Pythonπ, #machinelearningπ, #datascienceπ, and #deeplearningπ!!!
In addition, you will be able to develop your portfolios βΊοΈ with the project workπ that you will do from scratch under the guidance of mentors!!!π
Does this look very interesting to you, click the link in this post to register
Link: Click Me
DEADLINEπ±π± : 7th September 2022
π₯π₯Build GPT: from scratch, in code, spelled outπ₯π₯.
If you're a beginner interested in learning about Neural Networks, Andrej Karpathy Youtube-series on "Neural Networks: Zero to Hero" can introduce you to the basics of Neural Networks and language modeling.
Already have this knowledge and want to do an amazing project?π
His new course on how to build your own GPT!π± from scratch is a must watch.
Link: https://youtu.be/kCc8FmEb1nY
Interesting not only for beginners, but for pro's as well to recap and grab new details
#ai #deeplearning #neuralnetworks #gpt
ββββββββββββββββββββ
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*This channel belongs to @bigdataspecialist group
If you're a beginner interested in learning about Neural Networks, Andrej Karpathy Youtube-series on "Neural Networks: Zero to Hero" can introduce you to the basics of Neural Networks and language modeling.
Already have this knowledge and want to do an amazing project?π
His new course on how to build your own GPT!π± from scratch is a must watch.
Link: https://youtu.be/kCc8FmEb1nY
Interesting not only for beginners, but for pro's as well to recap and grab new details
#ai #deeplearning #neuralnetworks #gpt
ββββββββββββββββββββ
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
YouTube
Neural Networks: Zero to Hero
Share your videos with friends, family, and the world
MIT 6.S191: Introduction to Deep Learning 2021
Created by MIT
β° 29 hours worth of material
π¬ 43 Video lessons
π¨βπ« Teacher: Alexander Amini
π Course link
#deeplearning #ai #MIT
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
Created by MIT
β° 29 hours worth of material
π¬ 43 Video lessons
π¨βπ« Teacher: Alexander Amini
π Course link
#deeplearning #ai #MIT
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
Practical Deep Learning For Coders
This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.
π Free Online Course
RatingβοΈ: 4.1 out 5
Duration β°: 7 weeks
π» Lecture Videos
πββοΈ Self paced
Teacher π¨βπ« : Prof. Jeremy Howard
π Course Link
#programming #deeplearning
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.
π Free Online Course
RatingβοΈ: 4.1 out 5
Duration β°: 7 weeks
π» Lecture Videos
πββοΈ Self paced
Teacher π¨βπ« : Prof. Jeremy Howard
π Course Link
#programming #deeplearning
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
Free Video Lectures
Practical Deep Learning For Coders online course video lectures by Other
Practical Deep Learning For Coders free online course video tutorial by Other.You can download the course for FREE !