Most recent version of Andrew Ng’s book Machine Learning Yearning
Link: https://gallery.mailchimp.com/dc3a7ef4d750c0abfc19202a3/files/5dd91615-3b3f-4f5d-bbfb-4ebd8608d330/Ng_MLY01_13.pdf
Link: https://gallery.mailchimp.com/dc3a7ef4d750c0abfc19202a3/files/5dd91615-3b3f-4f5d-bbfb-4ebd8608d330/Ng_MLY01_13.pdf
Top AI Interview Questions & Answers — Acing the AI Interview
https://medium.com/acing-ai/top-ai-interview-questions-answers-acing-the-ai-interview-61bf52ca34d4
https://medium.com/acing-ai/top-ai-interview-questions-answers-acing-the-ai-interview-61bf52ca34d4
Medium
Top Data Science Interview Questions & Answers
Answers to AI and Data Science interview questions asked repeatedly.
SOTAWHAT - A script to keep track of state-of-the-art AI research
https://huyenchip.com/2018/10/04/sotawhat.html
https://github.com/chiphuyen/sotawhat.
https://huyenchip.com/2018/10/04/sotawhat.html
https://github.com/chiphuyen/sotawhat.
Chip Huyen
SOTAWHAT - A script to keep track of state-of-the-art AI research
While doing research, I often find myself wondering: “What’s the state-of-the-art result for XYZ right now?” I just want a tool that returns the summary of the latest SOTA research. My usual go-to place is Google, but I quickly realize that Google often returns:
"Mathematics for Machine Learning": drafts for all chapters now available
https://mml-book.github.io/ https://www.reddit.com/r/MachineLearning/comments/9lzabc/p_mathematics_for_machine_learning_drafts_for_all/
https://mml-book.github.io/ https://www.reddit.com/r/MachineLearning/comments/9lzabc/p_mathematics_for_machine_learning_drafts_for_all/
Reddit
From the MachineLearning community on Reddit
Explore this post and more from the MachineLearning community
mmdetection
mmdetection is an open source object detection toolbox based on PyTorch. It is a part of the open-mmlab project developed by Multimedia Laboratory, CUHK.
Major features
- Modular Design
One can easily construct a customized object detection framework by combining different components.
- Support of multiple frameworks out of box
The toolbox directly supports popular detection frameworks, e.g. Faster RCNN, Mask RCNN, RetinaNet, etc.
- Efficient
All basic bbox and mask operations run on GPUs now. The training speed is about 5% ~ 20% faster than Detectron for different models.
- State of the art
This was the codebase of the MMDet team, who won the COCO Detection 2018 challenge.
https://github.com/open-mmlab/mmdetection
mmdetection is an open source object detection toolbox based on PyTorch. It is a part of the open-mmlab project developed by Multimedia Laboratory, CUHK.
Major features
- Modular Design
One can easily construct a customized object detection framework by combining different components.
- Support of multiple frameworks out of box
The toolbox directly supports popular detection frameworks, e.g. Faster RCNN, Mask RCNN, RetinaNet, etc.
- Efficient
All basic bbox and mask operations run on GPUs now. The training speed is about 5% ~ 20% faster than Detectron for different models.
- State of the art
This was the codebase of the MMDet team, who won the COCO Detection 2018 challenge.
https://github.com/open-mmlab/mmdetection
GitHub
GitHub - open-mmlab/mmdetection: OpenMMLab Detection Toolbox and Benchmark
OpenMMLab Detection Toolbox and Benchmark. Contribute to open-mmlab/mmdetection development by creating an account on GitHub.
Digging into Airbnb data: reviews sentiments, superhosts, and prices prediction (part1)
Example of #AirBnB data research
Link: https://towardsdatascience.com/digging-into-airbnb-data-reviews-sentiments-superhosts-and-prices-prediction-part1-6c80ccb26c6a
Example of #AirBnB data research
Link: https://towardsdatascience.com/digging-into-airbnb-data-reviews-sentiments-superhosts-and-prices-prediction-part1-6c80ccb26c6a
Medium
Digging into Airbnb data: reviews sentiments, superhosts, and prices prediction (part1)
Airbnb is the leading and rapidly growing alternative to the traditional hotel networks. It collects a lot of data about their hosts and…
Building Machine Learning Model From Unstructured Data
https://towardsdatascience.com/building-machine-learning-model-from-unstructured-data-dd2d0263f1db
https://towardsdatascience.com/building-machine-learning-model-from-unstructured-data-dd2d0263f1db
Medium
Building Machine Learning Model From Unstructured Data
You might be familiar with structured data, it is everywhere. Here i would like to focus on discussion on how we transform unstructured…
How linear algebra is applied in machine learning.
When you study an abstract subject like linear algebra, you may wonder: why do you need all these vectors and matrices? Well, if you study it with the purpose of doing ML, this is the answer for you: http://amp.gs/vtWx
When you study an abstract subject like linear algebra, you may wonder: why do you need all these vectors and matrices? Well, if you study it with the purpose of doing ML, this is the answer for you: http://amp.gs/vtWx
Deep Learning and Reinforcement Learning Summer School, Toronto 2018
video:
http://videolectures.net/DLRLsummerschool2018_toronto/
video:
http://videolectures.net/DLRLsummerschool2018_toronto/
Curiosity and Procrastination in Reinforcement Learning
https://ai.googleblog.com/2018/10/curiosity-and-procrastination-in.html
https://ai.googleblog.com/2018/10/curiosity-and-procrastination-in.html
research.google
Curiosity and Procrastination in Reinforcement Learning
Posted by Nikolay Savinov, Research Intern, Google Brain Team and Timothy Lillicrap, Research Scientist, DeepMind Reinforcement learning (RL) is on...
How to analyze “Learning”: Short tour of Computational Learning Theory
https://towardsdatascience.com/how-to-analyze-learning-short-tour-of-computational-learning-theory-9d93b15fc3e5
https://towardsdatascience.com/how-to-analyze-learning-short-tour-of-computational-learning-theory-9d93b15fc3e5
Medium
Reaching for the gut of Machine Learning: A brief intro to CLT
Knowing the fundamentals of the computational learning theory can empower you immensely as a practitioner of machine learning.
Playing Mortal Kombat with TensorFlow.js. Transfer learning and data augmentation
https://blog.mgechev.com/2018/10/20/transfer-learning-tensorflow-js-data-augmentation-mobile-net/
https://blog.mgechev.com/2018/10/20/transfer-learning-tensorflow-js-data-augmentation-mobile-net/
Mgechev
Playing Mortal Kombat with TensorFlow.js. Transfer learning and data augmentation
While experimenting with enhancements of the prediction model of Guess.js, I started looking at deep learning. I’ve focused mainly on recurrent neural networks (RNNs), specifically LSTM because of their “unreasonable effectiveness” in the domain of Guess.js.…
Dimensionality Reduction For Dummies — Part 2: Laying The Bricks
https://towardsdatascience.com/data-science/home
https://towardsdatascience.com/data-science/home
Towards Data Science
Data Science – Towards Data Science
Towards Data Science provides a platform for thousands of people to exchange ideas and to expand our understanding of data science. Your home for data science. A publication sharing concepts, ideas and codes.