Tag: neural networks

DataCamp – Deep Learning in Python

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From DataCamp: “Artificial neural networks (ANN) are a biologically-inspired set of models that facilitate computers learning from observed data. Deep learning is a set of algorithms that use especially powerful neural networks. It is one of the hottest fields in data science, and most state-of-the-art results in robotics, image recognition and artificial intelligence (including the famous AlphaGo) use deep learning. In this course, you’ll gain hands-on, practical knowledge of how to … Continue Reading

NIPS (Neural Information Processing Systems) Conference

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From NIPS Conference site: “The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting” Next event:  December 4 – 9, 2017 – Long Beach, CA Registration begins August 17, 2017 Videos from NIPS Conference 2016: NIPS … Continue Reading

The Elements of Statistical Learning

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This book describes the important ideas in statistics, data mining, machine learning, and bioinformatics in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics.

Pattern Recognition and Machine Learning

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This textbook is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics, and is aimed at advanced undergraduates or 1st-year PhD students, as well as practitioners.

Data Science from Scratch: First Principles with Python

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In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.

Linear Digressions

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We’re producing this podcast because machine learning is exciting!

Predictive Analytics 2 – Neural Nets and Regression

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In this online course, you will continue work from Predictive Analytics 1, and be introduced to additional techniques in predictive analytics, also called predictive modeling, the most prevalent form of data mining.

Machine Learning (Coursera)

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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.