• Clear, intuitive explanations take you deep into the theory and practice of Python machine learning • Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book Description Machine Learning with PyTorch and Scikit-Learn is a comprehensive...
Python机器学习算法基础全套教程:回归算法、聚类算法、决策树、随机森林、神经网络、贝叶斯算法、支持向量机等机器学习算法一口气学完! 1095 -- 19:13:49 App 【一起啃书】深度学习花书白话解读!35集完整版,《Deep Learning》号称深度学习“圣经”究竟有那么强吗? 2.1万 1615 8:51:39 App 2024 最新Python办公自动...
https://www.youtube.com/playlist?list=PLQVvvaa0QuDd0flgGphKCej-9jp-QdzZ3 sklearn 股票投资 中文讲解:www.fenc.cc, 视频播放量 119、弹幕量 0、点赞数 1、投硬币枚数 2、收藏人数 4、转发人数 1, 视频作者 chinobing, 作者简介 ,相关视频:【python基础】2024零基础学
I’d describe it as a comprehensive resource on the fundamental concepts of machine learning and deep learning. The first half of the book introduces readers to machine learning using scikit-learn, the defacto approach for working with tabular datasets. Then, the second half of this book focuses...
Machine Learning with PyTorch and Scikit-Learnhas been a long time in the making, and I am excited to finally get to talk about the release of my new book. Initially, this project started as the 4th edition ofPython Machine Learning. However, we made so many changes to the book that we...
Python Machine Learning _ Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2-Packt Publishing - eboo 星级: 771 页 Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2nd Edition Textbook 1 星级: 311 页 Python Machi...
scikit-learn是Python的一个开源机器学习模块,它建立在NumPy,SciPy和matplotlib模块之上。值得一提的是,scikit-learn最先是由David Cournapeau在2007年发起的一个Google Summer of Code项目,从那时起这个项目就已经拥有很多的贡献者了,而且该项目目前为止也是由一个志愿者团队在维护着。
Hands-On Machine Learning with scikit:learn and Scientific Python Toolkits是Tarek Amr创作的计算机网络类小说,QQ阅读提供Hands-On Machine Learning with scikit:learn and Scientific Python Toolkits部分章节免费在线阅读,此外还提供Hands-On Machine Learning wit
《Learning scikit-learn: Machine Learning in Python》《Mastering Machine Learning With scikit-learn》《scikit-learn Cookbook》,第一本是2013年出版,后两本是2014年出版,都下下来看了下目录和页数,第一本只有118页,后两本分别为238页和214页,考虑到希望能够尽快看完一本,对整体 sklearn 有一定了解,最后...
Segment 1: Introduction to Machine Learning (40 minutes) Machine Learning concepts Supervised vs. unsupervised learning Understanding classification Understanding clustering Q&A Break (5 minutes) Segment 2: Getting Started with scikit-learn (40 minutes) Installing Python libraries for scikit-learn Loading ...