Machine Learning with Rprovides an overview of machine learning in R without going into detail or theory. It also heavily uses case studies to demonstrate each algorithm. It opens with a brief introduction to machine learning and R and in data management in R. It goes on in subsequent chapters...
book\hands-on-ml-with-sklearn-and-tf(中文版).pdf book\hands-on-ml-with-sklearn-and-tf.pdf book\Learning TensorFlow_A GUIDE TO BUILDING DEEP LEARNING SYSTEMS(汤姆).pdf book\Machine Learning with Python Cookbook(克里斯 阿尔邦).pdf book\Machine Learning with Python(阿布舍克获胜).pdf ...
My Apache Zeppelin and Jupyter notebooks, and more! For a series of valuable data analysis and machine learning-related stuff in general ML Resources(with an emphasis on Python) This document attempts to develop a curated list of Machine Learning resources, including books, papers, software, libra...
Deep Learning with PyTorch - Eli Stevens, Luca Antiga, Thomas Viehmann (PDF) Dive into Deep Learning Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises - James L. McClelland Foundations of Machine Learning, Second Edition - Mehryar Mohri, Afshin Rostamiza...
What You Need to Know about Machine Learning Gabriel A. Cánepa Intermediate This book lays the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills that you can build on with experience and time Python Course Google Beginner This is...
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Introduction to Machine Learning with Python: A Guide for Data Scientists AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence Deep Learning After simple machine learning we dive into the world of deep...
Machine Learning: A Probabilistic Perspective (Kevin Murphy) This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. It is written in an informal, accessible style, complete with pseudo-code for the most import...
2) Building Machine Learning Systems with Python - Willi Richert, Luis Pedro Coelho This book goes into significant detail on how to use scikit-learn for regression and classification tasks. In addition to extensive coverage on scikit-learn it actually considers other libraries such as gensim (for...
WithDeep Learning for Computer Vision, combine the power of Python, Keras, and Tensorflow to build deep learning models for object detection, image classification, similarity learning, image captioning, and more. Includes tips on optimizing and improving the performance of your models under various co...
Python in 2024: Faster, more powerful, and more popular than ever Dec 25, 20244 mins how-to 4 key concepts for Rust beginners Dec 18, 20246 mins Show me more news Google BigQuery gets metadata service with Iceberg support By Anirban Ghoshal ...