Understanding Machine Learning

Understanding Machine Learning with Python (2016)  eBooks & eLearning

Posted by naag at May 18, 2016
Understanding Machine Learning with Python (2016)

Understanding Machine Learning with Python
MP4 | 2016 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 201 MB
Genre: eLearning | Language: English

Use your data to predict future events with the help of machine learning. This course will walk you through creating a machine learning prediction solution and will introduce Python, the scikit-learn library, and the Jupyter Notebook environment.

Pluralsight - Understanding Machine Learning with R  

Posted by naag at Feb. 18, 2016
Pluralsight - Understanding Machine Learning with R

Understanding Machine Learning with R
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1h 25m | 205 MB
Genre: eLearning | Language: English

This course walks through the process of creating a machine learning prediction solution. The course introduces and uses R, the primary language for Machine Learning.

Understanding Machine Learning  eBooks & eLearning

Posted by U.N.Owen at Feb. 5, 2016
Understanding Machine Learning

Understanding Machine Learning
Size: 75MB | Duration: 0h 39m | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 44.1KHz 2ch
Genre: eLearning | Level: Beginner | Language: English

Need a short, clear introduction to machine learning? Watch this.
Understanding Machine Learning: From Theory to Algorithms

Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David
English | 2014 | ISBN: 1107057132 | 424 pages | PDF | 3 MB

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms.

Machine Learning for Cyber Physical Systems  eBooks & eLearning

Posted by Underaglassmoon at Dec. 3, 2016
Machine Learning for Cyber Physical Systems

Machine Learning for Cyber Physical Systems
Springer | Engineering | December 29, 2016 | ISBN-10: 3662538059 | 72 pages | pdf | 2.87 mb

Editors: Beyerer, Jürgen, Niggemann, Oliver, Kühnert, Christian (Eds.)
Selected papers from the International Conference ML4CPS 2016
Includes the full proceedings of the 2016 ML4CPS – Machine Learning for Cyber Physical Systems Conference
Presents recent and new advances in automated machine learning methods
Provides an accessible and succinct overview on machine learning for cyber physical systems

Coursera - Machine Learning (2015)  

Posted by house23 at Feb. 17, 2016
Coursera - Machine Learning (2015)

Coursera - Machine Learning (2015)
MP4 | AVC 32kbps | English | 960x540 | 15fps | 19h 53mins | AAC stereo 128kbps | 1.52 GB
Genre: Video Training

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 today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.

Machine Learning in Computer Vision  

Posted by schtifosi at Nov. 18, 2008
Machine Learning in Computer Vision

Machine Learning in Computer Vision
Springer | ISBN: 1402032749 | 2005-08 | PDF | 249 pages | 6,5 Mb

The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system.
Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization

Dionysios Sotiropoulos and George A. Tsihrintzis, "Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization"
English | ISBN: 3319471929 | 2016 | 344 pages | PDF | 7 MB

Learning From Data - Introductory Machine Learning Course  eBooks & eLearning

Posted by FenixN at Nov. 28, 2016
Learning From Data - Introductory Machine Learning Course

Learning From Data - Introductory Machine Learning Course
HDRips | MP4/AVC, ~222 kb/s | 1280x720 | Duration: 23:36:03 | English: AAC, 96 kb/s (2 ch) | 3.22 GB
Genre: Science

This introductory computer science course in machine learning will cover basic theory, algorithms, and applications. Machine learning is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to automatically learn how to perform a desired task based on information extracted from the data. Machine learning has become one of the hottest fields of study today and the demand for jobs is only expected to increase. Gaining skills in this field will get you one step closer to becoming a data scientist or quantitative analyst.

An Introduction to Machine Learning with Web Data [repost]  eBooks & eLearning

Posted by FenixN at Nov. 28, 2016
An Introduction to Machine Learning with Web Data [repost]

An Introduction to Machine Learning with Web Data
HDRips | MP4/AVC, ~1200 kb/s | 1280x720 | Duration: 02:43:22 | English: AAC, 128 kb/s (2 ch) | 1.43 GB
Genre: Development / Programming

Once you've accumulated a pile of data through your web application, what do you do with it? In this insightful video course, bit.ly lead scientist Hilary Mason shows you how to solve data analysis problems using basic machine learning techniques and frameworks. You'll follow several examples through the entire process—from obtaining, cleaning, and exploring data to building a model and interpreting the results.