Mathematics(Linear Algebra). Python(numpy) programming for machine learning/Data analysis

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Руслан Сенаторов

Published on Streamed live on Dec 14, 2024
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🚀 Join the community: https://boosty.to/SENATOROV 🍑 Subscribe to Telegram: https://t.me/RuslanSenatorov 🔥 Start working with cryptocurrency on Bybit: https://www.bybit.com/invite?ref=MAN2VD 💰 Donate: https://www.donationalerts.com/c/sena... 💰 Become a sponsor: (USDT TRC20) TPWP9kuqqetDNPeLjAe51F1i2jPxwYYBDu (USDT BEP20) 0xf3db7ce90a55d1d25b7a6d1ded811fb2a7523f3d Main mathematical topics: Linear algebra: Vectors and matrices Matrix operations (multiplication, transpose, trace) Eigenvalues and eigenvectors Inverse matrices Decompositions (QR decomposition, SVD decomposition) Systems of linear equations Analysis: Limits and continuity Derivatives and partial derivatives Gradients and optimization Integrals Function optimization Mean value theorem Multivariate analysis Probability theory: Random variables Probability distributions (normal, binomial, Poisson) Conditional probability Bayes' theorem Laws of large numbers and central limit theorem Statistics: Mathematical expectation, variance Statistical hypotheses and tests Regression and correlation Parameter estimates (maximum likelihood, least squares) Data analysis and visualization Descriptive statistics Interval estimation Hypothesis testing Regression analysis Tags: Mathematics for Machine Learning, Linear Algebra in Data Science, Mathematical Analysis for Machine Learning, Probability Theory and Statistics, Mathematics for Data Analysis, Vectors and Matrices, Derivatives and Gradients, Probability Distributions, Regression and Correlation, Machine Learning, Data Science Training, Mathematical Foundations of ML, Machine Learning Algorithms, Linear Algebra for Machine Learning, Probability Theory in Data Science, Mathematical Analysis in ML, Statistics for Data Analysis, Data Science from Scratch, Machine Learning for Beginners, Python for Data Science, R for Data Analysis, numpy, pandas, scikit-learn, deep learning, Neural Networks, Artificial Intelligence, Linear Algebra from Scratch, Linear Algebra for Data Science, Linear Algebra for Machine Learning, Linear Algebra for Dummies, Linear Algebra for Beginners, Linear Algebra for Programmers, Math Tutor, Math Teacher, Math Teacher, Math Teacher, Math Mentor, Math Teacher, Data Science Tutor from Scratch, Higher Mathematics Tutor, Math Tutor for adults #mathematics #datascience #machinelearning mathematics from scratch, mathematics for data science, mathematics for machine learning, mathematics for dummies, mathematics for beginners, mathematics for programmers, mathematics for data science, mathematics tutor, mathematics teacher, mathematics teacher, mathematics teacher, mathematics mentor, mathematics teacher, data science tutor from scratch, higher mathematics tutor, mathematics tutor for adults, mathematics for correspondence students mathematics for data analytics Tags: #linearalgebra , #dataanalysis, #datascience, #beginners, #syntax, #data_types, #functions, #OOP, #programming, #Pythonlive_broadcast, #Pythonlive, #Pythononline, #Pythoninteractive_stream, #Pythonlive_broadcast Python,python stream,python lessons,beginners,python syntax,python data types,python functions,python OOP,python programming,python live broadcast,python live,python online,python interactive stream,python live broadcast,learning programming from scratch python

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