New free Deep Learning course from #FastAI
This course shows how to build a state of the art deep learning model from scratch.
FastAI’s mission is to make neural nets uncool again by teaching as many people from as many backgrounds as possible.
Link: https://www.fast.ai/2019/06/28/course-p2v3/
#MOOC #DL #freecourse
This course shows how to build a state of the art deep learning model from scratch.
FastAI’s mission is to make neural nets uncool again by teaching as many people from as many backgrounds as possible.
Link: https://www.fast.ai/2019/06/28/course-p2v3/
#MOOC #DL #freecourse
🔥🎓New FastAI's free online course on NLP
It is called «A Code-First Introduction to Natural Language Processing». All code & videos are available for free online, make sure you save this link into bookmarks and at least review the content, because it provides opportunity not only to learn new skills, but to actually understand how NLP works.
Link: https://www.fast.ai/2019/07/08/fastai-nlp/
#NLP #NLU #DL #MOOC #FastAI #course
It is called «A Code-First Introduction to Natural Language Processing». All code & videos are available for free online, make sure you save this link into bookmarks and at least review the content, because it provides opportunity not only to learn new skills, but to actually understand how NLP works.
Link: https://www.fast.ai/2019/07/08/fastai-nlp/
#NLP #NLU #DL #MOOC #FastAI #course
Overview of 10 Stanford's Data Science courses
A survivor’s guide to Artificial Intelligence courses at Stanford
Link: https://huyenchip.com/2018/03/30/guide-to-Artificial-Intelligence-Stanford.html
#Staford #MOOC #course #free #rating #learning
A survivor’s guide to Artificial Intelligence courses at Stanford
Link: https://huyenchip.com/2018/03/30/guide-to-Artificial-Intelligence-Stanford.html
#Staford #MOOC #course #free #rating #learning
Chip Huyen
A survivor’s guide to Artificial Intelligence courses at Stanford (Updated Feb 2020)
Twitter thread
Great collection and reviews for top online machine and deep learning courses
Post covers short reviews and suggested order in which course could be taken, along with the links at great prerequisites.
Link: http://thegrandjanitor.com/2016/08/15/learning-deep-learning-my-top-five-resource/
#DL #ML #MOOC #novice #entrylevel
Post covers short reviews and suggested order in which course could be taken, along with the links at great prerequisites.
Link: http://thegrandjanitor.com/2016/08/15/learning-deep-learning-my-top-five-resource/
#DL #ML #MOOC #novice #entrylevel
Great collections of Data Science learning materials
The list includes free books and online courses on range of DS-related disciplines:
Machine learning (#ML)
Deep Learning (#DL)
Reinforcement learning (#RL)
#NLP
Tutorials on #Keras, #Tensorflow, #Torch, #PyTorch, #Theano
Notable researchers, papers and even #datasets. It is a great place to start reviewing your knowledge or learning something new.
Link: https://hackmd.io/@chanderA/aiguide
#wheretostart #entrylevel #novice #studycontent #studymaterials #books #MOOC #meta
The list includes free books and online courses on range of DS-related disciplines:
Machine learning (#ML)
Deep Learning (#DL)
Reinforcement learning (#RL)
#NLP
Tutorials on #Keras, #Tensorflow, #Torch, #PyTorch, #Theano
Notable researchers, papers and even #datasets. It is a great place to start reviewing your knowledge or learning something new.
Link: https://hackmd.io/@chanderA/aiguide
#wheretostart #entrylevel #novice #studycontent #studymaterials #books #MOOC #meta
🎓CS224W: Machine Learning with Graphs
Great course from #Stanford. You still on time to jump at studying from one of the best schools.
Students are introduced to machine learning techniques and data mining tools apt to reveal insights on the social, technological, and natural worlds, by means of studying their underlying network structure and interconnections.
Topics include: robustness and fragility of food webs and financial markets; algorithms for the World Wide Web; graph neural networks and representation learning; identification of functional modules in biological networks; disease outbreak detection.
Link: http://cs224w.stanford.edu
Videos link: http://snap.stanford.edu/class/cs224w-videos-2019/
#MOOC #entrylevel #wheretostart
Great course from #Stanford. You still on time to jump at studying from one of the best schools.
Students are introduced to machine learning techniques and data mining tools apt to reveal insights on the social, technological, and natural worlds, by means of studying their underlying network structure and interconnections.
Topics include: robustness and fragility of food webs and financial markets; algorithms for the World Wide Web; graph neural networks and representation learning; identification of functional modules in biological networks; disease outbreak detection.
Link: http://cs224w.stanford.edu
Videos link: http://snap.stanford.edu/class/cs224w-videos-2019/
#MOOC #entrylevel #wheretostart
Big scandal on popular YouTuber ML course
Siraj Raval, who raised his audience on devliering various YouTube videos, explaning #ML and #DL concepts as long with interviews with leading persons, launched his own course, but failed to provide much value.
His course was built on open and free tutorials, created by passionate enthusiasts, but he failed to attribute them properly and charged money for ununique content without any proper support for students.
He also oversold his course and tried to hide that from students, claiming to provide personal feedbacks, but failing to do so due to being too greedy.
Most of the best online courses and study programms are available online and for free, including those, we gathered here on our channel and attributed with hastags #wheretostart #entrylevel #MOOC #tutorial. Feel free to click these hashtags and browse for best available resources to start learning data science.
Link: https://www.theregister.co.uk/AMP/2019/09/27/youtube_ai_star
Siraj Raval, who raised his audience on devliering various YouTube videos, explaning #ML and #DL concepts as long with interviews with leading persons, launched his own course, but failed to provide much value.
His course was built on open and free tutorials, created by passionate enthusiasts, but he failed to attribute them properly and charged money for ununique content without any proper support for students.
He also oversold his course and tried to hide that from students, claiming to provide personal feedbacks, but failing to do so due to being too greedy.
Most of the best online courses and study programms are available online and for free, including those, we gathered here on our channel and attributed with hastags #wheretostart #entrylevel #MOOC #tutorial. Feel free to click these hashtags and browse for best available resources to start learning data science.
Link: https://www.theregister.co.uk/AMP/2019/09/27/youtube_ai_star
The Register
YouTuber charged loads of fans $199 for shoddy machine-learning course that copy-pasted other people's GitHub code
And there wasn't a refund policy until folk complained
🎓 Reinforcement Learning Course from OpenAI
Reinforcement Learning becoming significant part of the data scientist toolbox.
OpenAI created and published one of the best courses in #RL. Algorithms implementation written in #Tensorflow.
But if you are more comfortable with #PyTorch, we have found #PyTorch implementation of this algs
OpenAI Course: https://spinningup.openai.com/en/latest/
Tensorflow Code: https://github.com/openai/spinningup
PyTorch Code: https://github.com/kashif/firedup
#MOOC #edu #course #OpenAI
Reinforcement Learning becoming significant part of the data scientist toolbox.
OpenAI created and published one of the best courses in #RL. Algorithms implementation written in #Tensorflow.
But if you are more comfortable with #PyTorch, we have found #PyTorch implementation of this algs
OpenAI Course: https://spinningup.openai.com/en/latest/
Tensorflow Code: https://github.com/openai/spinningup
PyTorch Code: https://github.com/kashif/firedup
#MOOC #edu #course #OpenAI
GitHub
GitHub - openai/spinningup: An educational resource to help anyone learn deep reinforcement learning.
An educational resource to help anyone learn deep reinforcement learning. - openai/spinningup
Matus Telgarsky’s Deep Learning Theory course
Course syllabus, lecture handout materials from Illinois university.
Link: http://mjt.cs.illinois.edu/courses/dlt-f19/
#MOOC #DL #Theory #Course
Course syllabus, lecture handout materials from Illinois university.
Link: http://mjt.cs.illinois.edu/courses/dlt-f19/
#MOOC #DL #Theory #Course
Free eBook from Stanford: Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares
Base material you need to understand how neural networks and other #ML algorithms work.
Link: https://web.stanford.edu/~boyd/vmls/
#Stanford #MOOC #WhereToStart #free #ebook #algebra #linalg #NN
Base material you need to understand how neural networks and other #ML algorithms work.
Link: https://web.stanford.edu/~boyd/vmls/
#Stanford #MOOC #WhereToStart #free #ebook #algebra #linalg #NN
Ultimate post on where to start learning DS
Most common request we received through the years was to share insights and advices on how to start career in data science and to recommend decent cources. Apparently, using hashtag #wheretostart wasn't enough so we were sharing some general advices.
So we assembled a through guide on how to start learning machine learning and created another #ultimatepost (in a form of a github repo, so it will be keep updated and anyone can submit worthy piece of advice to it).
We welcome you to share your stories and advices on how to start rolling into data science, as well as to spread the link to the repo to those your friends who might benefit from it.
Link: Ultimate post
#entrylevel #beginner #junior #MOOC #learndatascience #courses #mlcourse #opensource
Most common request we received through the years was to share insights and advices on how to start career in data science and to recommend decent cources. Apparently, using hashtag #wheretostart wasn't enough so we were sharing some general advices.
So we assembled a through guide on how to start learning machine learning and created another #ultimatepost (in a form of a github repo, so it will be keep updated and anyone can submit worthy piece of advice to it).
We welcome you to share your stories and advices on how to start rolling into data science, as well as to spread the link to the repo to those your friends who might benefit from it.
Link: Ultimate post
#entrylevel #beginner #junior #MOOC #learndatascience #courses #mlcourse #opensource
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🎓Online Berkeley Deep Learning Lectures 2021
University of Berkeley released its fresh course lectures online for everyone to watch. Welcome Berkeley CS182/282 Deep Learnings - 2021!
YouTube: https://www.youtube.com/playlist?list=PLuv1FSpHurUevSXe_k0S7Onh6ruL-_NNh
#MOOC #wheretostart #Berkeley #dl
University of Berkeley released its fresh course lectures online for everyone to watch. Welcome Berkeley CS182/282 Deep Learnings - 2021!
YouTube: https://www.youtube.com/playlist?list=PLuv1FSpHurUevSXe_k0S7Onh6ruL-_NNh
#MOOC #wheretostart #Berkeley #dl