Data Science Resources

Website with various data science and machine learning resources

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Project maintained by AdiBro Hosted on GitHub Pages — Theme by mattgraham

Deep Learning Resources

General Deep Learning

• What is Deep Learning?
• Fundamentals of Deep Learning – Starting with Artificial Neural Network
• introduction to Machine Learning and Deep Learning - a slide deck with in depth introduction to ML and DL.
• Introduction to Deep Learning
• Notes from Coursera Deep Learning courses by Andrew Ng - a slideshow of notes from Andrew Ng’s Coursera specialization in Deep Learning.
• Neural Networks Tutorial – A Pathway to Deep Learning
• The Neural Network Zoo - an Overview of Neural Network Architectures.
• Deep Learning Notebooks - IPython Notebook(s) demonstrating deep learning functionality. From Data Science IPython Notebooks. Contains:
  • TensorFlow Tutorials
  • TensorFlow Exercises
  • Keras Tutorials
• One LEGO at a Time: Explaining the Math of how Neural Networks Learn with Implementation from Scratch
• Deep Learning Cheat Sheet - from Stanford University’s CS 229 - Machine Learning course.
• Deep Dive into Math Behind Deep Networks
• When to Use MLP, CNN, and RNN Neural Networks

Books

• Deep Learning Book - the Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
  • Lectures from the book
  • Videos:
    • Videos - Part 1
    • Videos - Part 2
    • Companion Videos
• Neural Networks and Deep Learning - a free online book on Neural Networks and Deep Learning.
• Deep Learning Tutorial - a Deep Learning tutorial from LISA lab, University of Montreal.
• Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python - repository for “Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python”
• Jupyter notebooks for the book “Deep Learning With Python Notebooks” - François Chollet - Jupyter notebooks for the code samples of the book “Deep Learning with Python.”
• Grokking Deep Learning - a repository accompanies the forthcoming book “Grokking Deep Learning”.

Videos

• Practical Deep Learning For Coders - a YouTube playlist with videos of fast.ai’s 7 week course, taught by Jeremy Howard.
• Neural Networks Video Series
• Coursera - Neural Networks for Machine Learning - a YouTube playlist.

Convolutional Neural Network

• Convolutional Neural Networks Tutorial in TensorFlow
• Understanding of Convolutional Neural Network (CNN) — Deep Learning
• Crash Course in Convolutional Neural Networks for Machine Learning
• How Do Convolutional Layers Work in Deep Learning Neural Networks?
• Convolutional Neural Networks for Visual Recognition - Stanford University CS231n Convolutional Neural Networks for Visual Recognition course.
  • Course Notes for Convolutional Neural Networks for Visual Recognition

  • [Lecture Collection

    Convolutional Neural Networks for Visual Recognition (Spring 2017)](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv) - a YouTube video playlist of the course.

• A Comprehensive Guide to Convolutional Neural Networks — the ELI5 way
• Gentle Dive into Math Behind Convolutional Neural Networks - I don’t know about the “gentle” part, but it is a really good blog post on CNNs :)
• An Intuitive Explanation of Convolutional Neural Networks - a thorough, good and intuitive summary of CNNs in practice with lots of academic resources at the end.
• Convolutional Neural Network - An Introduction to Convolutional Neural Networks

Recurrent Neural Networks

• The Unreasonable Effectiveness of Recurrent Neural Networks - one of the best intros/tutorials to RNNs.
• Crash Course in Recurrent Neural Networks for Deep Learning
• A Tour of Recurrent Neural Network Algorithms for Deep Learning
• Understanding LSTM Networks
• Sequence Classification with LSTM Recurrent Neural Networks in Python with Keras
• Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras
• LSTM Recurrent Neural Network Example - on Chris Albon’s website

TensorFlow

• TensorFlow Official Website
  • Get Started with TensorFlow - TensorFlow tutorials.
  • TensorFlow API Docs
  • TensorFlow GitHub Repo
• First Steps with TensorFlow - a Google Colaboratory notebook with a TensorFlow tutorial.
• Machine Learning Crash Course with TensorFlow APIs - a Google Developers course that features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises.
• Python TensorFlow Tutorial – Build a Neural Network
• Hands-on Machine Learning with Scikit-Learn and TensorFlow - a series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn (and TensorFlow). This is the index notebook and the relevant chapters/notebooks are 9 to 16.
• Introduction to TensorFlow - exercises and solutions to accompany a Safari course introducing TensorFlow.
• TensorFlow Course - simple and ready-to-use tutorials for TensorFlow.
• Predicting House Prices with TensorFlow - in this course, you will train a model to tackle a regression problem and predict house prices using TensorFlow.
• 6.S191: Introduction to Deep Learning - MIT’s introductory course on deep learning methods and applications.
  • MIT Introduction to Deep Learning - a blog post describing this course.
• A Neural Network Playground - an interactive visualization of neural networks. “tinker with a Neural Network right here in your browser”
  • GitHub Repo

Keras

• Keras Website and Documentation
  • Keras GitHub Repo
• Keras Tutorial – “build a convolutional neural network in 11 lines.”
• Develop Your First Neural Network in Python With Keras Step-By-Step
• Deep Learning Tutorials - Keras - from Chris Albon’s Technical Notes On Using Data Science & Artificial Intelligence.

PyTorch

• PyTorch Official Website
  • Get Started
  • PyTorch Tutorials
  • PyTorch Documentation
  • PyTorch Resources
• PyTorch Tutorials

Natural Language Processing in Deep Learning

• 5 Free Resources for Getting Started with Deep Learning for Natural Language Processing
• Deep Learning for Natural Language Processing: Tutorials with Jupyter Notebooks
• Deep Learning, NLP, and Representations
• Modern Deep Learning Techniques Applied to Natural Language Processing - an overview of recent trends in deep learning based natural language processing (NLP).
  • GitHub Repository for the Website
• Lecture Collection - Natural Language Processing with Deep Learning - a YouTube playlist of lectures from Stanford University School of Engineering.
• Keras LSTM tutorial - how to easily build a powerful deep learning language model.
• A Word2Vec Keras Tutorial
• Word2Vec Word Embedding Tutorial in Python and TensorFlow
• Twitter Sentiment Analysis Using Combined LSTM-CNN Models