Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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๐Ÿ”— Machine Learning from Scratch by Danny Friedman

This book is for readers looking to learn new #machinelearning algorithms or understand algorithms at a deeper level. Specifically, it is intended for readers interested in seeing machine learning algorithms derived from start to finish. Seeing these derivations might help a reader previously unfamiliar with common algorithms understand how they work intuitively. Or, seeing these derivations might help a reader experienced in modeling understand how different #algorithms create the models they do and the advantages and disadvantages of each one.

This book will be most helpful for those with practice in basic modeling. It does not review best practicesโ€”such as feature engineering or balancing response variablesโ€”or discuss in depth when certain models are more appropriate than others. Instead, it focuses on the elements of those models.


https://dafriedman97.github.io/mlbook/content/introduction.html

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming  #Keras

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๐Ÿ—‚ 20 free MIT courses โ€” the entire Computer Science base in one place

#MIT has made courses in key CS areas publicly available. #Python, #algorithms, #ML, neural networks, #OS, #databases, #mathematics โ€” all can be completed for free directly on #YouTube.

โ–ถ๏ธ Introduction to Python Programming
โ–ถ๏ธ Data Structures and Algorithms
โ–ถ๏ธ Mathematics for Computer Science
โ–ถ๏ธ Machine Learning
โ–ถ๏ธ Deep Learning
โ–ถ๏ธ Artificial Intelligence
โ–ถ๏ธ Machine Learning in Healthcare
โ–ถ๏ธ Database Management Systems
โ–ถ๏ธ Operating Systems
โ–ถ๏ธ One-Variable Calculus
โ–ถ๏ธ Many-Variable Calculus
โ–ถ๏ธ Introduction to Probability Theory
โ–ถ๏ธ Statistics
โ–ถ๏ธ Probability Theory and Statistics
โ–ถ๏ธ Linear Algebra
โ–ถ๏ธ Matrix Calculus for Machine Learning
โ–ถ๏ธ Java Programming
โ–ถ๏ธ Design and Analysis of Algorithms
โ–ถ๏ธ Advanced Data Structures
โ–ถ๏ธ Introduction to Computational Thinking

tags: #courses

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Found an easy way to learn math for ML: Mathematics for Machine Learning ๐ŸŽ“๐Ÿ“š

This is a curated collection on GitHub, including books, research papers, video lectures, and basic materials on math for studying and reviewing the mathematical foundations of machine learning. ๐Ÿ“–๐Ÿ“Š

It helps build a stronger knowledge base by bringing together trusted resources around topics that machine learning engineers constantly encounter: linear algebra, mathematical analysis, probability theory, statistics, information theory, matrix calculus, and deep learning mathematics. ๐Ÿงฎ๐Ÿค–

Free public repository on GitHub. ๐Ÿ’ปโœจ

https://github.com/dair-ai/Mathematics-for-ML

#MachineLearning #Mathematics #DataScience #Learning #GitHub #AI

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