内容提示: Machine learning for complete intersection Calabi–Yaumanifolds: a methodological studyHarold Erbin ∗1 and Riccardo Finotello †11 Dipartimento di Fisica, Università di TorinoInfn Sezione di Torino and Arnold–Regge Center,Via Pietro Giuria 1, I-10125 Torino, Italy18th June 2021...
内容 隐藏 1 完整的机器学习课程:从零到专家! 2 The Complete Machine Learning Course: From Zero to Expert! 2.1 你会学到什么 2.2 要求 2.3 描述 2.4 本课程适合
This book is your entry point to machine learning. This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature ...
This book is 100% complete Last updated on 2024-05-29 Sebastian Raschka, PhD Already familiar with machine learning basics and wondered what to learn next? This book covers 30 key concepts, including Multi-GPU training paradigms. Finetuning transformers. ...
Wondering what is machine learning? Wonder no more! This beginner's guide will show you the ropes of this exciting branch of AI behind ChatGPT.
《Deep Learning in Neural Networks: An Overview》 介绍:深度学习在神经网络的应用. 《Contextual Learning》 介绍:上下文学习,代码. 《Machine Learning For Complete Beginners》 介绍:机器学习零基础入门,代码. 《2015年中国计算机学会(CCF)优秀博士学位论文》 ...
* [《Foundations and Advances in Data Mining》](http://cs.ucla.edu/~wwc/course/cs245a/mining%20book.pdf) 介绍:Free Ebook:数据挖掘基础及最新进展. * [《The Deep Learning Revolution: Rethinking Machine Learning Pipelines》](http://www.infoq.com/presentations/deep-learning) ...
of MATLAB programming is presented in complete detail for four ELM-based models, including (1) classical ELM, (2) regularized ELM, (3) weighted regularized ELM, (4) outlier-robust ELM. View chapterExplore book Application of machine learning algorithms in hydrology...
Healthcare analytics, AI solutions for biological big data, providing an AI platform for the biotech, life sciences, medical and pharmaceutical industries, as well as for related technological approaches, i.e., curation and text analysis with machine learning and other activities related to AI ...
Gradient Boosting with R Gradient boosting is one of the most effective techniques for building machine learning models. It is based on the idea of improving the weak learners (learners with insufficient predictive power). Do you want to learn more about