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7 Types of Regression Techniques you should know. Introduction Linear and Logistic regressions are usually the first algorithms people learn in predictive modeling.

7 Types of Regression Techniques you should know

Due to their popularity, a lot of analysts even end up thinking that they are the only form of regressions. The ones who are slightly more involved think that they are the most important amongst all forms of regression analysis. The truth is that there are innumerable forms of regressions, which can be performed. Each form has its own importance and a specific condition where they are best suited to apply. Table of Contents. A Machine Learning Introductory Tutorial with Examples. Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems.

A Machine Learning Introductory Tutorial with Examples

ML provides potential solutions in all these domains and more, and is set to be a pillar of our future civilization. The supply of able ML designers has yet to catch up to this demand. Meanderful: The age of perception: a $20 trillion dollar per year opportunity. During the last two to three years, the world has changed.

Meanderful: The age of perception: a $20 trillion dollar per year opportunity

Perception has been solved. Computers were bad at it. Now they are good at it. The main culprit is the new generation of artificial neural nets branded as deep learning. Great leaps have been made in image, video, speech and text semantic analysis. What's the likely economic impact? On 30 April 2015, PWC released a good whitepaper on STEM with support from the Centre of Policy Studies (CoPS) at Victoria University. What does at risk mean? PWC quote an impact of a benefit of some $57 billion being added to GDP for an increase of 1 percent in STEM roles for Australia.

How a Toronto professor’s research revolutionized artificial intelligence. MOUNTAIN VIEW, CALIF.

How a Toronto professor’s research revolutionized artificial intelligence

—Three summers ago, at the age of 64, Geoffrey Hinton left his home in Toronto’s Annex neighbourhood to become an intern at Google. He received a propeller beanie stitched with the word “Noogler” and attended orientation sessions populated mostly by millennials, who seemed to regard him, in his words, as a “geriatric imbecile.” Machine learning is the field of computer science concerned with algorithms that learn as humans do. Music Recommendations at Scale with Spark. Creating a Multimodal Recommender with Mahout and a Search Engine. Deeplearning4j - Open-source, distributed deep learning for the JVM. Machine Learning Engineer Nanodegree. Nanodegree Program Structure As a student in the Machine Learning Nanodegree program, you will build the projects listed below. Each project has a supporting course. Reviewers will provide feedback on your projects and guidance on how to take your project to the next level.

Note: Unless otherwise mentioned in the individual project descriptions, you will need to implement your projects in Python 2.7. About -Skymind. Skymind is a business intelligence and enterprise software firm based in San Francisco, California.

About -Skymind

We analyze text media, image, video, time series and sound to locate and quantify patterns that impact your business. We’re a team of deep-learning specialists and semi-sentient robots, and the proud creators of the world’s first open-source, distributed, commercial-grade deep-learning framework: Deeplearning4j.org. We also built ND4J, a scientific computing library for the JVM. Deeplearning4j - Open-source, distributed deep learning for the JVM.

Classification datasets results. Visual Information Theory. Posted on October 14, 2015.

Visual Information Theory

Neural networks and deep learning. When a golf player is first learning to play golf, they usually spend most of their time developing a basic swing.

Neural networks and deep learning

Only gradually do they develop other shots, learning to chip, draw and fade the ball, building on and modifying their basic swing. Home - colah's blog. The Mystery of Go, the Ancient Game That Computers Still Can’t Win. TOKYO, JAPAN — Rémi Coulom is sitting in a rolling desk chair, hunched over a battered Macbook laptop, hoping it will do something no machine has ever done.

The Mystery of Go, the Ancient Game That Computers Still Can’t Win

That may take another ten years or so, but the long push starts here, at Japan’s University of Electro-Communications. The venue is far from glamorous — a dingy conference room with faux-wood paneling and garish fluorescent lights — but there’s still a buzz about the place. Spectators are gathered in front of an old projector screen in the corner, and a ragged camera crew is preparing to broadcast the tournament via online TV, complete with live analysis from two professional commentators.

The End of Theory: The Data Deluge Makes the Scientific Method Obsolete. DH - Publications. [quant-ph/9908043] Ultimate physical limits to computation. 3# Xerox PARC Forum: AI and Robotics at an Inflection Point. By omohundro On September 18, 2014 Steve Omohundro gave the Xerox PARC Forum on “AI and Robotics at an Inflection Point”.

Xerox PARC Forum: AI and Robotics at an Inflection Point

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Robot Garage Sale - used robot parts, robot sale, cheap robot parts

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