Machine Learning Without the Fluff
A

Machine Learning Without the Fluff

Machine learning
machine learning practical guide algorithms data science fundamentals beginner friendly concise
Author
Andrey Burkov
Publisher
Peter
Year
2020
Language
Russian
163
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Deep Learning from a Practitioner's Perspective

Deep Learning from a Practitioner's Perspective

Josh Patterson, Adam Gibson

Machine Learning. The science and art of building algorithms that extract knowledge from data.

Machine Learning. The science and art of building algorithms that extract knowledge from data.

Peter Flach

Probabilistic Machine Learning: An Introduction

Probabilistic Machine Learning: An Introduction

Kevin P. Murphy

Introduction to Automated Machine Learning (AutoML)

Introduction to Automated Machine Learning (AutoML)

Frank Hutter, Lars Kotthoff, Joaquin Vanschoren

Applied Machine Learning and Artificial Intelligence for Engineers

Applied Machine Learning and Artificial Intelligence for Engineers

Jeff Probst

Machine Learning Engineering 2022 Andrey Burkov

Machine Learning Engineering 2022 Andrey Burkov

Andrey Burkov

Shalev-Shwartz S., Ben-David S. - Understanding Machine Learning: From Theory to Algorithms - 2019

Shalev-Shwartz S., Ben-David S. - Understanding Machine Learning: From Theory to Algorithms - 2019

Sh. Shalev-Shwartz, Sh. Ben-David

Machine Learning for Business and Marketing

Machine Learning for Business and Marketing

Ilya Katsov

Neural Network Methods in Natural Language Processing

Neural Network Methods in Natural Language Processing

Yoav Goldberg

Deep Learning: Principles and Concepts

Deep Learning: Principles and Concepts

Christopher M. Bishop, Hugh Bishop