Courses found: 4110

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1
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Chantal Labbé, Marc Fredette
HECMontrealX
Computer Science Mathematics, Statistics and Data Analysis
Gb Paid Free
Course added: 13 August 2020
Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations. Do big data and UX speak to you? This MOOC will give you the methods and tools to analyze the whole spectrum of data we handle...
14 June 2021
2
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Camille Grange, Constantinos K. Coursaris
HECMontrealX
Computer Science
Gb Paid Free
Course added: 13 August 2020
Be a UX advocate! Lead the gamut of user-centered design activities, while sharing knowledge and ensuring rich collaboration with all stakeholders across the project. For UX maturity to settle in an organization, there needs to be UX leadership. In this MOOC you will learn the specifics needed to manage...
14 June 2021
3
Developers-logo
Developers-logo
Nick Parlante
Google
Computer Science
Gb Free
Course added: long ago
In selections:
Default
Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python...
Free schedule
Favored by 8 people
4
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Nips-2013-poster-thumbnail
Rob Fergus
NIPS
Computer Science
Gb Free
Course added: 26 July 2015
In selections:
Small-icon.hover Logoobjectdetection
This tutorial will look at how deep learning methods can be applied to problems in computer vision, most notably object recognition. It will start by motivating the need to learn features, rather than hand-craft them. It will then introduce several basic architectures, explaining how they learn features...
Free schedule
Favored by 1 person
5
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400px-nvidia_logo.svg
Nvidia
Computer Science
Gb Free
Course added: 19 July 2015
In selections:
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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
6
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Maxresdefault
Douglas C. Schmidt
Vanderbilt University
Computer Science
Gb Free
Course added: 22 September 2013
In selections:
Os
Developing high quality distributed systems software is hard; developing high quality reusable distributed systems software is even harder. The principles, methods, and skills required to develop reusable software cannot be learned by generalities. Instead, developers must learn through experience how...
Details to be announced
Favored by 1 person
7
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Banner_ruby
Jordan Hudgens
Udemy
Computer Science
Gb Free
Course added: 4 October 2015
This post is part of our “Getting Started” series of free text tutorials on some of our most popular course topics.
Free schedule
8
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Yann LeCun
New York University
Computer Science
Gb Free
Course added: 26 July 2015
In selections:
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Lectures from the NYU Course on Deep Learning (Spring 2014) This is a graduate course on deep learning, one of the hottest topics in machine learning and AI at the moment. In the last two or three years, Deep learning has revolutionized speech recognition and image recognition. Deep learning is...
27 January 2014, 16 weeks
Favored by 1 person
9
Cppgm
Cppgm
CPPGM Foundation
Computer Science
Gb Free
Course added: long ago
In selections:
Developers-logo
The C++ Grandmaster Certification is an online course in which participants develop their own complete standalone C++ toolchain - including a preprocessor, compiler, assembler, linker, and standard library. The toolchain will produce executable applications for a target of (a) the Linux operating...
In progress
10
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Photo
Yasser Abu-Mostafa
Caltech
Computer Science
Gb Free
Course added: 26 July 2015
In selections:
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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
11
Umnchem
Umnchem
Prof. Christopher J. Cramer
University of Minnesota
Chemistry Computer Science
Gb Free
Course added: long ago
In selections:
Umnchem
Modern theoretical methods used in study of molecular structure, bonding, and reactivity. Concepts and practical applications. Semiempirical, ab initio, and density functional calculations of molecular electronic structure. Theoretical determination of molecular structure and spectra; relationship to...
Details to be announced
Favored by 1 person
12
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Nlp-logo
Richard Socher
Stanford
Computer Science
Gb Free
Course added: 26 July 2015
In selections:
Small-icon.hover Me
Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of artificial intelligence. Applications of NLP are everywhere because people communicate most everything in language: web search, advertisement...
30 March 2017, 10 weeks
Favored by 7 people
13
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Haskell-logo
Brent Yorgey
Penn Engineering
Computer Science
Gb Free
Course added: 22 September 2013
In selections:
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Haskell is a high-level, pure functional programming language with a strong static type system and elegant mathematical underpinnings, and is being increasingly used in industry by organizations such as Facebook, AT&T, and NASA. In the first 3/4 of the course, we will explore the joys of pure, lazy,...
Free schedule
Favored by 4 people
14
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Logo_blue
Roger Grosse, Nitish Srivastava
University of Toronto
Computer Science
Gb Free
Course added: 23 April 2016
Machine learning is a powerful set of techniques that allow computers to learn from data rather than having a human expert program a behavior by hand. Neural networks are a class of machine learning algorithm originally inspired by the brain, but which have recently have seen a lot of success at practical...
Free schedule
Favored by 1 person
15
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Photo-larocheh
Hugo Larochelle
Université de Sherbrooke
Computer Science
Gb Free
Course added: 10 February 2016
In selections:
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These are the videos I use to teach my Neural networks class at Université de Sherbrooke
Free schedule
Favored by 1 person
16
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Me
John Schulman, Pieter Abbeel
UC Berkeley
Computer Science
Gb Free
Course added: 12 March 2016
In selections:
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Deep Reinforcement Learning
Free schedule
Favored by 3 people
17
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Dave_silver
David Silver
University College London
Computer Science
Gb Free
Course added: 12 March 2016
In selections:
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Advanced Topics 2015 (COMPM050/COMPGI13): Reinforcement Learning
Free schedule
Favored by 2 people
18
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Matthew Jackson, Kevin Leyton-Brown, Yoav Shoham
Stanford University, The University of British Columbia
Computer Science Economics & Finance
Gb Free
Course added: long ago
In selections:
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Our 4-week advanced course considers how to design interactions between agents in order to achieve good social outcomes. The course -- which is free and open to the public -- considers three main topics: social choice theory (i.e., collective decision making), mechanism design, and auctions. More...
27 May 2013, 4 weeks
Favored by 1 person
19
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Rounded_corners
Arthur Gretton (with Zoltan Szabo, Kacper Chwialkowski)
University College London
Computer Science
Gb Free
Course added: 12 March 2016
In selections:
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Advanced Topics in Machine Learning: COMPGI13 (kernel part)
Free schedule
Favored by 2 people
20
Logo
Logo
Matasano
Computer Science
Gb Free
Course added: long ago
In selections:
Large-icon
We've built a collection of 48 exercises that demonstrate attacks on real-world crypto. This is a different way to learn about crypto than taking a class or reading a book. We give you problems to solve. They're derived from weaknesses in real-world systems and modern cryptographic constructions....
Free schedule
Favored by 1 person



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