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...
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...
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...
Welcome to the world’s first online course in science journalism, developed by the World Federation of Science Journalists in close cooperation with the Science and Development Network SciDev.Net. The course is ready for use by professional journalists, journalism students and teachers. Each course consist...
This course is designed to give the student a basic scientific understanding of the major physiological differences between the sexes, the influences these differences have on illness and health outcomes, and the implications for policy, medical research, and health care.
This second module, entitled Sex and Gender Differences in Health and Behavior, applies the basic concepts presented in the first course to specific conditions and organ systems where sex and gender differences play a significant role.
This course is designed to provide participants with an overall understanding of how sex and gender impact function of select organ systems as well as disease progression and treatment options.
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...
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...
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...
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...
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...
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,...
A lecture series covering contemporary areas in genomics and bioinformatics.
The scientific community celebrated the achievement of the Human Genome Project's major goal in April of 2003: completion of a high-accuracy sequence of the human genome. The significance of this milestone cannot be underestimated...
A lecture series covering contemporary areas in genomics and bioinformatics.
The scientific community celebrated the achievement of the Human Genome Project's major goal in April of 2003: completion of a high-accuracy sequence of the human genome. The significance of this milestone cannot be underestimated...
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...
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