课程概述Machine learning (ML) is the algorithmic approach to learning from data. This course provides an introduction to core ideas and techniques in ML, covering theoretical foundations, algorithms…
This course will cover popular methods in machine learning and data mining, with an emphasis on developing a working understanding of how to apply these methods in practice. This course will also cover core foundational concepts underpinning and motivating modern machine learning and data mining approa...
Data Visualization (MSiA 411) Data Mining (MSiA 421) Predictive Analytics II (MSiA 420) Spring Quarter: Industry Practicum (MSiA 489) Analytics Value Chain (MSiA 423) Analytics for Big Data (MSiA 431) Data Warehousing and Workflow Management (MSiA 430) Deep Learning (MSiA 432) Summer Quarter:...
https://www.aicrowd.com/challenges/final-project-of-the-data-mining-and-machine-learning-course After entering the competition page, you would see a "create team" button on the top right. Click on that button and select your team name. Your team name should be the same as the name which...
Machine learningdata miningcomputational statisticsComputational Statistics as an area of research was conceived in September of 1978 as a special initiative at the Office of Naval Research. The motivation was to exploit the then emerging microcomputer technology as a tool that would put computer power...
. The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and ...
Machine Learning (Stanford) Platform:Coursera Description:This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). ...
Emerging Trends Machine Learning 08:45 Data Mining 08:21 Data Mining Continues 06:58 Supervised and Unsupervised 07:52 Sampling Method in Machine Learning 07:34 Technical Terminology 11:25 Error of Observation and Non Observation 07:05 Systematic Sampling ...
Knowledge discovery data mining machine learning causal discovery predition big data We have entered an era of big data. The exponential growth in the amount and complexity of data from the internet, mobile phones, wearable devices, computers, and recording equipment have provided new opportunities ...
介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机、神经网络、决策树、SVM、Adaboost到随机森林、Deep Learning.