I've checked all resources)) and all of them are awesome and absolutely free...
The basics of math to understand ML engine:
Khan Academy:
Multivariable Calculus
Differential Equations
Linear Algebra
Statistics Probability
3Blue1Brown:
Essence of Linear Algebra
Essence of calculus
Dive into DL:
math for ML
Karpov.courses - Base math
Statistics base Karpov.courses Stepik
Матан МГУ лекции
Vision introduction to Probability and Statistics link
Лучшая визуализация статистики и ML на канале StatQuest with Josh Starmer
Excellent article - a short introductory in ML for beginners link
Deep Learning School МФТИ 50 videos базовый курс
Для совсем новичков: Курс по машинному обучению. Проект «ИИ Старт» link
Stanford CS230: Deep Learning 10 videos link
Stanford CS229: Machine Learning Full Course 20 videos link
Stanford CS221: Artificial Intelligence: Principles and Techniques 56 videos link
Stanford CS224U: Natural Language Understanding 63 videos link
MIT 6.S191: Introduction to Deep Learning 63 videos link
Harvard University CS50 Machine Learning 6 videos link
Machine learning with Selfedu 47 videos link
Machine learning from scratch - frameworks' functions in pure python 11 videos AssemblyIA
Анализ данных просто и доступно 95 videos Stepik cource
Intro to Machine Learning Kaggle
Machine Learning Zoomcamp 114 videos DataTalksClub
Машинное обучение НИУ ВШЭ часть 1 часть 2
Deep Learning in Finance from Alfabank link
Много бесплатных курсов по разным веткам ML ods.ai
ШАД Воронцов ML yandex
Подготовка к поступлению в ШАД Яндекса ссылка
Dive into Deep Learning link
Amazing visualization with Tensorflow Tinker With a Neural Network Right Here in Your Browser
Orange data mining software Getting Started with Orange