AI Expert Roadmap
Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert.
What is actually pretty cool is that you can click in any part of roadmap and learn more about mentioned concept!
https://i.am.ai/roadmap/
#ai #artificialintellignece #ml #machinelearning #datascience #roadmap
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert.
What is actually pretty cool is that you can click in any part of roadmap and learn more about mentioned concept!
https://i.am.ai/roadmap/
#ai #artificialintellignece #ml #machinelearning #datascience #roadmap
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Introduction to Machine Learning Problem Framing
By Google
Estimated Course Length: 1 hour
https://developers.google.com/machine-learning/problem-framing
#machinelearning #ml
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to
By Google
Estimated Course Length: 1 hour
https://developers.google.com/machine-learning/problem-framing
#machinelearning #ml
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to
Google for Developers
Introduction to Machine Learning Problem Framing | Google for Developers
30 Days of ML, free Kaggle challenge
Machine learning beginner → Kaggle competitor in 30 days.
Non-coders welcome.
Starts August 2nd!
FAQ
I already have some familiarity with Python and/or Machine Learning. Can I still join the program?
Anyone can join! You’ll get more out of the program if you’re not a very advanced Python user, or if you are relatively new to machine learning.
What is the time commitment for the program?
Assignments should take about 1 hour/day to complete.
How much is the program?
Nothing! All you need is a Kaggle account.
Do I need to bring my own GPU or deep learning workstation?
No, Kaggle provides free hosted notebooks with access to GPUs and TPUs to complete your data science projects.
🔗 https://www.kaggle.com/thirty-days-of-ml
Sign Up for the challenge.
#kaggle #python #machinelearning #ml
➖➖➖➖➖➖➖➖➖➖
Join @bigdataspecialist for more
Machine learning beginner → Kaggle competitor in 30 days.
Non-coders welcome.
Starts August 2nd!
FAQ
I already have some familiarity with Python and/or Machine Learning. Can I still join the program?
Anyone can join! You’ll get more out of the program if you’re not a very advanced Python user, or if you are relatively new to machine learning.
What is the time commitment for the program?
Assignments should take about 1 hour/day to complete.
How much is the program?
Nothing! All you need is a Kaggle account.
Do I need to bring my own GPU or deep learning workstation?
No, Kaggle provides free hosted notebooks with access to GPUs and TPUs to complete your data science projects.
🔗 https://www.kaggle.com/thirty-days-of-ml
Sign Up for the challenge.
#kaggle #python #machinelearning #ml
➖➖➖➖➖➖➖➖➖➖
Join @bigdataspecialist for more
Kaggle
30 Days of ML
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
Forwarded from Graph Machine Learning
Graph Neural Networks: Algorithms and Applications
A great presentation by Jian Tang about GNN basics, training many layers, self-supervised learning and statistical relational learning.
A great presentation by Jian Tang about GNN basics, training many layers, self-supervised learning and statistical relational learning.
Neural Networks and Deep Learning, a free online book.
The book will teach you about:
* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data
* Deep learning, a powerful set of techniques for learning in neural networks
http://neuralnetworksanddeeplearning.com/index.html
The book will teach you about:
* Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data
* Deep learning, a powerful set of techniques for learning in neural networks
http://neuralnetworksanddeeplearning.com/index.html
Forwarded from Cool GitHub repositories
InsightFace: 2D and 3D Face Analysis Project
Good implementation for face recognition, and landmark detection
ArcFace, CosFace, SubCenter-ArcFace, VPL, Partial-FC
https://github.com/deepinsight/insightface
Good implementation for face recognition, and landmark detection
ArcFace, CosFace, SubCenter-ArcFace, VPL, Partial-FC
https://github.com/deepinsight/insightface
GitHub
GitHub - deepinsight/insightface: State-of-the-art 2D and 3D Face Analysis Project
State-of-the-art 2D and 3D Face Analysis Project. Contribute to deepinsight/insightface development by creating an account on GitHub.
CS109 Data Science
By Harvard University
⌛️ 12 weeks
✅ Video lectures
✅ Slides
✅ Lab exercises
🔗 http://cs109.github.io/2015/pages/videos.html
Note: i have issues with first video link but others are fine.
#datascience #pyton #harvard
➖➖➖➖➖➖➖➖➖➖
👉Join @bigdataspecialist for more👈
By Harvard University
⌛️ 12 weeks
✅ Video lectures
✅ Slides
✅ Lab exercises
🔗 http://cs109.github.io/2015/pages/videos.html
Note: i have issues with first video link but others are fine.
#datascience #pyton #harvard
➖➖➖➖➖➖➖➖➖➖
👉Join @bigdataspecialist for more👈
cs109.github.io
Class Material
Forwarded from Graph Machine Learning
Graph ML in Industry Workshop
When I wrote top applications of GNNs at the beginning of this year, I had a feeling that graph ML community is mature enough to start being used in industrial companies. Nine months ahead we decided to gather researchers, engineers, and industry professionals to talk about applications of graphs in the companies. Please, join us on 23rd Sept, 17-00 Paris time (free, online, ~3 hours) by registering at the link.
When I wrote top applications of GNNs at the beginning of this year, I had a feeling that graph ML community is mature enough to start being used in industrial companies. Nine months ahead we decided to gather researchers, engineers, and industry professionals to talk about applications of graphs in the companies. Please, join us on 23rd Sept, 17-00 Paris time (free, online, ~3 hours) by registering at the link.
Google
Graph Machine Learning in Industry
Criteo AI Lab is excited to be presenting Graph Machine Learning in Industry. Please join us on Thursday, September 23rd, at 17:00 Paris time. This page will be updated with video links after the workshop.
Learning From Data
Free course by Caltech - California Institute of Technology
✅ 23 sections with pdf slides and video lessons
https://work.caltech.edu/library/
👉 Join @datascience_bds and @bigdataspecialist for more
Free course by Caltech - California Institute of Technology
✅ 23 sections with pdf slides and video lessons
https://work.caltech.edu/library/
👉 Join @datascience_bds and @bigdataspecialist for more
Four Deep Learning Papers to Read in September 2021
‘Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning’
Authors: Feurer et al. (2021)
📝 Paper
🤖 Code
‘How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers’
Authors: Steiner et al. (2021)
📝 Paper
🤖 Code
‘Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization’
Authors: Jastrzebski et al. (2021)
📝 Paper
‘Do Vision Transformers See Like Convolutional Neural Networks?’
Authors: Raghu et al. (2021)
📝 Paper
Source: Medium
‘Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning’
Authors: Feurer et al. (2021)
📝 Paper
🤖 Code
‘How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers’
Authors: Steiner et al. (2021)
📝 Paper
🤖 Code
‘Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization’
Authors: Jastrzebski et al. (2021)
📝 Paper
‘Do Vision Transformers See Like Convolutional Neural Networks?’
Authors: Raghu et al. (2021)
📝 Paper
Source: Medium
Reinforcement Learning Lecture Series 2021
🎬 13 lessons
⏰ 14 hours
Taught by DeepMind researchers, this series was created in collaboration with University College London (UCL) to offer students a comprehensive introduction to modern reinforcement learning.
https://deepmind.com/learning-resources/reinforcement-learning-series-2021
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
🎬 13 lessons
⏰ 14 hours
Taught by DeepMind researchers, this series was created in collaboration with University College London (UCL) to offer students a comprehensive introduction to modern reinforcement learning.
https://deepmind.com/learning-resources/reinforcement-learning-series-2021
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Google DeepMind
Artificial intelligence could be one of humanity’s most useful inventions. We research and build safe artificial intelligence systems. We're committed to solving intelligence, to advance science...
Deep learning at Oxford 2015
🎬 16 lessons
⏰ 15 hours
https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu
#deeplearning #oxford
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
🎬 16 lessons
⏰ 15 hours
https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu
#deeplearning #oxford
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
YouTube
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...
The People + AI Guidebook by Google
The People + AI Guidebook is a set of methods, best practices and examples for designing with AI.
https://pair.withgoogle.com/guidebook/
The People + AI Guidebook is a set of methods, best practices and examples for designing with AI.
https://pair.withgoogle.com/guidebook/
Withgoogle
People + AI Guidebook
A toolkit for teams building human-centered AI products.
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
Mathematics for Machine Learning
Published by Cambridge University Press (published April 2020)
https://mml-book.com
PDF: https://mml-book.github.io/book/mml-book.pdf
Published by Cambridge University Press (published April 2020)
https://mml-book.com
PDF: https://mml-book.github.io/book/mml-book.pdf