- 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.
- 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)]
- 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]
- Interpretable Machine Learning - A Guide for Making Black Box Models Explainable by Christoph Molnar
- 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]
- 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 Letters - Job & Internship Guide by University of California, Berkeley
- Chip Huyen [Blog Link]
- Sebastian Ruder
- Dave's Advice Collection by David Evans, Professor, University of Virginia [Link]
- 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 of Algorithms by TheAlgorithms | Implemented in [Python], [Java]
- 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
- Distro-hopping Guide during Undergraduate Years by Muhammad Ridowan [Quora Answer]
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