Probabilistic Machine Learning: An Introduction

Mit Press 45189572 Deep Learning

- Language Published - English
- Binding - hardcover
- It ensures you get the best usage for a longer period
Springer 9783030403430 Linear Algebra And Optimization For Machine Learning: A Textbook

O'Reilly Media 9781098125974 Hands-On Machine Learning

- Use scikit-learn to track an example ML project end to end
- Explore several models, including support vector machines, decision trees, random forests, and ensemble methods
- Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection
- Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers
- Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning
Mit Press 52407874 Reinforcement Learning

Probabilistic Machine Learning: Advanced Topics

Packt Publishing Sebastian Raschka Machine Learning With Pytorch And Scikit-Learn: Develop Machine Learning And Deep Learning Models With Python

Mit Press Alpaydin, Ethem Introduction To Machine Learning

O'Reilly Media 41752453 Introduction To Machine Learning


Cambridge University Press 40812298 Understanding Machine Learning: From Theory To Algorithms

- Cambridge university press
- Language - english
- Binding - hardcover
Crc Press YES11999542 Machine Learning: An Algorithmic Perspective

Springer 9783031532818 Probability And Statistics For Machine Learning: A Textbook

Mit Press 54151371 Foundations Of Machine Learning

Cambridge University Press 9781108455145 Mathematics For Machine Learning

9783031296413 Neural Networks And Deep Learning: A Textbook

Mit Press 9780262018029 Machine Learning: A Probabilistic Perspective

Springer 0387310738SRQ Pattern Recognition And Machine Learning

Cambridge University Press 37185855 Machine Learning Refined: Foundations

De Gruyter 9783111288475 The Mathematics Of Machine Learning: Lectures On Supervised Methods And Beyond

Generic Singh, Nick Ace The Data Science Interview: 201 Real Interview Questions Asked By Faang

