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Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Free MLOps course from DataTalks.Club
A course in reinforcement learning in the wild
Машинное обучение на ФКН ВШЭ
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep N…
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
This is Andrew NG Coursera Handwritten Notes.
Open Machine Learning course
Solutions of Reinforcement Learning, An Introduction
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Te…
Конспект лекций по курсу "Основы статистики"
This is my assignment on Andrew Ng's course “neural networks and deep learning”
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Labs and Project from the course "How to Win a Data Science Competition: Learn from Top Kagglers"
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
Вводный курс в математическое моделирование