Miscellaneous Resources

Data Visualization & Diagramming

• Scientific Visualization: Python + Matplotlib by Nicolas Rougier [Site] [Repo] [PDF]
• LaTeX Code for Making Neural Network Diagrams [GitHub Repo]
• How I draw figures for my mathematical lecture notes using Inkscape
  • Including Inkscape figures in a LaTeX document : Just like TikZ, Inkscape has the option to render the text of a figure using LaTeX.

Maths

• Mathematics for Machine Learning - Multivariate Calculus [Youtube Playlist]
• Introduction to Linear Algebra for Applied Machine Learning with Python by Pablo Caceres [Site]
• Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares [Site] [Youtube Playlist of ENGR108 (Stanford)]

Reading Lists

• Deep Learning Papers Reading Roadmap [Github Repo]
• Reading lists for new MILA students [Doc]
• Machine Learning at Berkeley reading list [Site]
• Machine Learning and Deep Learning References by Joseph Paul Cohen [Link]

Contest Programming

• The Ultimate Topic List (with Resources, Problems and Templates) by Shahjalal Shohag / YouKn0wWho
  • The Ultimate Question: Why should I start Competitive Programming?

Books

• Interpretable Machine Learning - A Guide for Making Black Box Models Explainable by Christoph Molnar

Overview of Books or Book Chapters

• Practical Statistics for Data Scientists | Covered by Shashank Kalanithi | [Youtube Playlist]
• Hands-on Machine Learning with Scikit-Learn Keras & Tensorflow | Covered by Shashank Kalanithi | [Youtube Playlist]

Job Interview Preparation

• Coding Interview University by John Washam [Github Repo]
• Introduction to Machine Learning Interviews Book by Chip Huyen | [Web Version] [Github Repo]
• Deep Learning Interviews by Shlomo Kashani | [arXiv] | [GitHub] | [Official Website]
• Tech Interview Handbook [Site] [GitHub Repo]
• Front End Interview Handbook [Site] [GitHub Repo]
• Must Do Coding Questions for Companies like Amazon, Microsoft, Adobe, … [Link]
• How to get a top job after graduation by Seeam Shahid Noor [Link]
  • Resources and instructions are based on the journey from getting an internship + full-time job at IBM’s Chief Analytics Office (& other companies) for strategy consulting, data science, & product management roles.
• Amazon ও Google এ চাকরির সুযোগ পাওয়ার প্রস্তুতি পর্ব by Sabir Ismail [Github Repo]
• My Interview Experience with Shopee / Garena / Sea Group by Mohammad Samiul Islam [Link]
  • Notes on different topics [Link]
• (Bangla) Moving from Bangladesh to abroad: My preparation & interview experiences by Foyzul Karim | [Youtube Playlist]

Resume & Cover Letter

• Resume & Cover Letters - Job & Internship Guide by University of California, Berkeley
  • https://career.berkeley.edu/sites/default/files/pdf/Guide/ResumesCovLet.pdf

Blogs

• Chip Huyen [Blog Link]
  • A survivor's guide to Artificial Intelligence courses at Stanford (Updated Feb 2020)
  • Career advice for recent Computer Science graduates
  • Free online machine learning curriculum
• Sebastian Ruder
  • 10 Tips for Research and a PhD
• Dave's Advice Collection by David Evans, Professor, University of Virginia [Link]

Cheatsheet

• Machine Learning Cheatsheet [GitHub Repo]
• Study guides for MIT's 15.003 Data Science Tools by Afshine Amidi and Shervine Amidi [GitHub Repo]
• Machine Learning Bites by Rishabh Anand [Link]

Implementations

• Implementations of Algorithms by TheAlgorithms | Implemented in [Python], [Java]

Online Courses & Lectures

• Online Course on Neural Networks by Hugo Larochelle - Lead, Google Brain Montreal, Adjunct Professor, Université de Montréal and Canada CIFAR Chair [Content] [Youtube Playlist]
• ML Youtube Courses [GitHub Repo]
• Deep Learning Drizzle | [Site] | [GitHub Repo]
• Teach Yourself Computer Science [Site]
  • Recommended resources for Programming, Computer Architecture, Algorithms and Data Structures, Math for CS, Operating Systems, Computer Networking, Databases, Languages and Compilers, Distributed Systems.
• Machine Learning Resources by Louis Bouchard | GitHub
  • Articles, Books, Math Books, Coding Tutorials, Online Courses, Communities, Cheat Sheets, ML Jobs, AI Ethics

Linux

• Distro-hopping Guide during Undergraduate Years by Muhammad Ridowan [Quora Answer]

Paper Writing

• How to ML Paper - A brief Guide