This course also has famous Google’s Page Ranking algorithm exercise to demonstrate how vectors and matrices are important to the field of machine learning. ii. The second course is on Multivariate Calculus which teaches how to optimize fitting functions to get good fits to data. It starts ...
《An Introduction to Statistical Learning with Applications in R》 介绍:这是一本斯坦福统计学著名教授Trevor Hastie和Robert Tibshirani的新书,并且在2014年一月已经开课:https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about Best Machine Learning Resources for Getting Started 介绍:机...
LightGBM - Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. libfm - A generic approach that allows to mimic most factorization models by ...
机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 1) 注:机器学习资料篇目一共500条,篇目二开始更新希望转载的朋友,你可以不用联系我.但是一定要保留原文链接,因为这个项目还在继续也在不定期更新.希望看到文章的朋友能够学到更多.此外:某些资料在中
LightGBM: LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. Distributed word embedding: Distributed algorithm for word embedding implemented on...
This document attempts to develop a curated list of Machine Learning resources, including books, papers, software, libraries, notebooks, etc. Most of the libraries are for Python though the rest of the materials here are generally suited for working with data. ...
1.Andrew Ng'sMachine Learning at Coursera 很多人接触的第一个关于机器学习的视频大概就是Andrew Ng的课,入门课,讲的清晰易懂,涉及数学的方面也没有讲的很深奥,基本上都能听懂。如果数学基础差,也可以在网上搜一下这个课程的学习笔记,很多人总结的还是很好的,也很详细。唯一的不好就是这么课的编程语言是Octave...
microsoftml.rx_fast_trees(formula: str, data: [revoscalepy.datasource.RxDataSource.RxDataSource, pandas.core.frame.DataFrame], method: ['binary', 'regression'] = 'binary', num_trees: int = 100, num_leaves: int = 20, learning_rate: float = 0.2, min_split: int = 10, example_fraction...
Learning,or related field - Strong coding skills in Python - Experience with classification, regression, ranking, natural language understanding - Experience in Machine Learning toolkits (TensorFlow, PyTorch, Scikit) - Familiarity with large-scale data processing and distributed systems - Proven ...
The case in this paper was ranking several potential plant sites in India. 3.3. ELM and Other Advanced ANNs In order to find an advanced version of ANNs, the keywords of the search here were extreme learning machine, Feed-forward neural networks, Back-propagation neural networks, functional ...