Selection: Machine Learning

Machine learning: from the basics to advanced topics.

Includes statistics topics, data mining and artificial intelligence as well as applications like natural language processing, recommender systems, robot control.

Author: Grigory Sapunov
Course
Description
Dates
41
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G_quyf_fv5c2mhfhk3b5dnbdmjojov6awrjz8e9bdgpkhz1fondt1y2uluxqo--ihen22rn0moszrydk6pcz=s0#w=1757&h=1080
Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!
Free schedule
Favored by 1 person
42
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Lrrlsg-uwlkfejjhldoogug9qmhvdd8su316on-z9vujdyudfeh7iurfboshgwg2f2kly7ozq6ubju0_cuup=s0#w=1757&h=1080
Can we program machines to learn like humans? This course will teach you the algorithms for designing self-learning agents like us!
Free schedule
Favored by 4 people
43
Functionnal-analysis
Functionnal-analysis
Learn about functional analysis Functional analysis is the branch of mathematics dealing with spaces of functions. It is a valuable tool in theoretical mathematics as well as engineering. It is at the very core of numerical simulation. In this class, I will explain the concepts of convergence and talk...
12 September 2014, 8 weeks
Favored by 2 people
44
Mmds_logo2
Mmds_logo2
Stanford University
Computer Science
Gb Free
Course added: 18 August 2014
This class teaches algorithms for extracting models and other information from very large amounts of data. The emphasis is on techniques that are efficient and that scale well. We introduce the participant to modern distributed file systems and MapReduce, including what distinguishes good MapReduce algorithms...
31 January 2015, 7 weeks
12 September 2015, 7 weeks
Favored by 2 people
45
Artificial-intelligence-378x225
Artificial-intelligence-378x225
Dan Klein, Pieter Abbeel
UC BerkeleyX
Computer Science
Gb Paid Free
Course added: 29 December 2014
Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems. What do self-driving cars, face recognition, web search, industrial robots, missile guidance...
6 February 2015, 12 weeks
Favored by 1 person
46
Recognition
Recognition
Вадим Никитович Козлов
МГУ
Computer Science
Ru Free
Course added: 14 January 2014
Теория распознавания образа -  раздел информатики и смежных дисциплин, развивающий основы и методы классификации и идентификации предметов, явлений, процессов, сигналов, ситуаций и т. п. объектов, которые характеризуются конечным набором некоторых свойств и признаков. Распознавание цифр, букв на экр...
24 April 2017
Favored by 3 people
47
Visionlablogo
Visionlablogo
Fei-Fei Li, Andrej Karpathy
Stanford
Computer Science
Gb Free
Course added: 19 January 2015
Computer Vision has become ubiquitous in our society, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image classification, localization and detection. Recent developments...
5 January 2015, 11 weeks
4 January 2016, 11 weeks
1 March 2017
Favored by 6 people
48
Movielens
Movielens
Joseph A Konstan, Michael D. Ekstrand
University of Minnesota
Arts, Music, Film Computer Science
Gb Free
Course added: 21 May 2015
Recommender systems have changed the way people find products, information, and even other people. They study patterns of behavior to know what someone will prefer from among a collection of things he has never experienced. The technology behind recommender systems has evolved over the past 20 years...
Free schedule
49
Large-icon
Large-icon
Andrew Ng
Stanford University
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 21 May 2015
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive...
Free schedule
Favored by 1 person
50
Introduction-to-big-data-with-apache-spark_378x225
Introduction-to-big-data-with-apache-spark_378x225
Anthony D. Joseph
UC BerkeleyX
Computer Science
Gb Free
Course added: 29 December 2014
Learn how to apply data science techniques using parallel programming in Apache Spark to explore big (and small) data. Organizations use their data for decision support and to build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills...
1 June 2015, 5 weeks
Favored by 3 people
51
Scalable-machine-learning_378x225
Scalable-machine-learning_378x225
Ameet Talwalkar
UC BerkeleyX
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 29 December 2014
Learn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark. Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. Learning algorithms...
29 June 2015, 5 weeks
Favored by 4 people
52
400px-nvidia_logo.svg
400px-nvidia_logo.svg
Nvidia
Computer Science
Gb Free
Course added: 19 July 2015
Deep learning is a rapidly growing segment of artificial intelligence. It is increasingly used to deliver near-human level accuracy for image classification, voice recognition, natural language processing, sentiment analysis, recommendation engines, and more. Applications areas include facial recognition...
22 July 2015, 11 weeks
Favored by 4 people
53
Photo
Photo
Yasser Abu-Mostafa
Caltech
Computer Science
Gb Free
Course added: 26 July 2015
This is an introductory course by Caltech Professor Yaser Abu-Mostafa on machine learning that covers the basic theory, algorithms, and applications. Machine learning (ML) enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML techniques...
Free schedule
Favored by 1 person
54
Extpicture
Extpicture
К.В. Воронцов
ИНТУИТ
Computer Science
Ru Free
Course added: 4 January 2015
Курс расширяет и углубляет набор тем, рекомендованный международным стандартом ACM/IEEE Computing Curricula 2001 по дисциплине «Машинное обучение и нейронные сети» (machine learning and neural networks) в разделе «Интеллектуальные системы» (intelligent systems).
Free schedule
55
Dat203x-course_image-378x225
Dat203x-course_image-378x225
Dr. Steve Elston , Cynthia Rudin
Microsoft
Computer Science Mathematics, Statistics and Data Analysis
Gb Free
Course added: 28 July 2015
Learn key concepts of data science and machine learning with examples on how to build a cloud data science solution with R, Python and Azure Machine Learning from the Cortana Analytics Suite. Demand for Data science talent is exploding. Learn these essentials with experts from MIT and the industry, partnering...
Date to be announced, 5 weeks
Favored by 1 person
56
69884528421220
69884528421220
Prof. Dr.-Ing. Georg Fries, Prof. Dr. Peter Dannenmann, Prof. Dr.-Ing. Patrick Metzler, Prof. Dr. Andreas Zinnen, Stefanie Szabo, MSUM Student Team
Hochschule RheinMain - University of Applied Sciences - Wiesbaden Rüsselsheim
Computer Science Engineering & Technology
Gb Free
Course added: 12 September 2015
This MOOC explains how to model and simulate innovative ideas using MATLAB® and provides to you a number of methods suitable for modelling technical systems and processes in a wide range of applications.
10 November 2015, 10 weeks
57
Ee62bc22b7e2e6dbc98aa9d4e3bf3c8aa341903d
Ee62bc22b7e2e6dbc98aa9d4e3bf3c8aa341903d
David Schatsky
Deloitte University Press
Gb Free
Course added: 1 September 2015
The Course Artificial intelligence (AI) may sound like science fiction, but it is real, and becoming increasingly important to companies in every sector. The field of artificial intelligence has produced a wide variety of "cognitive technologies" that simulate human reasoning and perceptual skills,...
Coming soon
Favored by 1 person
58
Statisticallearning
Statisticallearning
Trevor Hastie, Rob Tibshirani
Stanford
Humanities Mathematics, Statistics and Data Analysis
Gb Free
Course added: 10 December 2015
Details to be announced
Favored by 1 person
59
B93c9fea-3df3-4180-984c-55310821cbb5-37bdafd2a7de.small
B93c9fea-3df3-4180-984c-55310821cbb5-37bdafd2a7de.small
Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer, Mihalis Yannakakis, Peter Orbanz
ColumbiaX
Computer Science Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 27 October 2015
Learn the principles of machine learning and the importance of algorithms. Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications. This data science course is an introduction to machine learning and algorithms...
28 May 2019
Favored by 1 person
60
Nn-1
Nn-1
Arseny Moskvichev, Анастасия Миллер
Stepik
Ru Free
Course added: 23 December 2015
В рамках данного курса слушатели познакомятся с теоретическими и практическими основами искусственных нейронных сетей. Слушатели научатся применять нейронные сети для решения широкого круга задач из области анализа данных. Курс входит в онлайн-программу по анализу данных.
Coming soon, Free schedule
Favored by 6 people

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