Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Updated
Oct 19, 2024 - HTML
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Probabilidad y variables aleatorias para ML con R y Python con los Drs R.Alberich y A.Mir
Data Science Roadmap from A to Z
The basic distribution probability Tutorial for Deep Learning Researchers
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
📙 The probability and statistics cookbook
Teaching Materials for Dr. Waleed A. Yousef
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Curated list of notes, books and other resources for the student of Nepal College of Information and Technology(NCIT) - Pokhara University, Nepal
Self-study on Larry Wasserman's "All of Statistics"
数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
My Solutions to 120 commonly asked data science interview questions.
📊 Methods of Applied Statistics Course Textbook Repository
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