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If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.

Learn Python The Hard Way is a Python tutorial I wrote to teach programming to people who do not know how to code. It assumes you are probably a power user of your computer, and then takes you from nothing to programming simple games. After finishing this course you should be ready for many of the other programming books out there.

a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states. It is a random process characterized as memoryless: the next state depends only on the current state and not on the sequence of events that preceded it. This specific kind of "memorylessness" is called the Markov property. Markov chains have many applications as statistical models of real-world processes.

I thought it would be helpful to offer some friendly study advice for those young men who might find themselves among the 33% of students who don’t know how to study effectively and might be struggling like I did. Even if you have some solid study skills, you’ll hopefully get something out of this article too.

The Motivation & Applications of Machine Learning, The Logistics of the Class, The Definition of Machine Learning, The Overview of Supervised Learning, The Overview of Learning Theory, The Overview of Unsupervised Learning, The Overview of Reinforcement Learning

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng provides an overview of the course in this introductory meeting.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control

This website is about your choices if you wish to start studying mathematics with the Open University. It describes courses and possible study routes, and gives you information which you might take into consideration when making your decision. It also gives you help in judging which of the possible routes is best for you.

This tutorial will teach you the main ideas of Unsupervised Feature Learning and Deep Learning. By working through it, you will also get to implement several feature learning/deep learning algorithms, get to see them work for yourself, and learn how to apply/adapt these ideas to new problems.

Judging from all the crap that I get to review lately, I was getting pessimistic about the quality of research on crowdsourcing. However, while preparing the tutorial, I realized the massive amount of high-quality research that is being published. We had 6 hours for the tutorial, and we did not have enough time to cover many really interesting papers. I had to refer people to other, more "specialized" tutorials

probability and statistics textbook, for maths students to build up to understanding Bayesian reasoning.

The first skill, as you might expect, is a base in statistics, algorithms, machine learning, and mathematics. "You need to have a solid grounding in those principles to actually extract signals from this data and build things with it,"

the new Columbia program, along with other initiatives, suggests that the next wave of programmer-journalists could be trained in specialized education programs that combine a traditional engineering/computer science degree with a traditional journalism education.

Here’s a set of twenty-six short youtube clips on game theory (by an enterprising graduate student at the University of Rochester) —- stag hunt, prisoner’s dilemma, centipede, battle of the sexes, etc, etc.   Potentially a nice resource for teaching.

We are excited to announce that from 5th August, the new NUS Card 2009/2010 'Demand Extra' will be available. Still only £10 for a year's subscription, and with access to more and more fantastic deals for the coming year which is great news for OUSA members.

Reading for research purposes entails the application of a variety of reading techniques in order to achieve maximum effectiveness. The three types below outline the dominant strategies that you will use as an undergraduate.

John Searle has argued — and he might just be correct — that social scientists are poor philosophers (he even goes after Weber, Durkheim and Simmel)

Prover9 is an automated theorem prover for first-order and equational logic, and Mace4 searches for finite models and counterexamples. Prover9 is the successor of the Otter prover.

rather than just a lecture and handout dump, it has interactive exercises and questions to help you practice and figure out whether you've learned the subject

The Low Pay Commission is expecting to include recommendations on internships in its annual review in the new year amid concerns that companies are taking advantage of the tough jobs market.

Zotero [zoh-TAIR-oh] is a free, easy-to-use Firefox extension to help you collect, manage, and cite your research sources. It lives right where you do your work — in the web browser itself.

The SEE courses have been released under a Creative Commons license, in order to “[encourage] educators and learners around the world to incorporate the video courses and materials into their educational endeavors and to form virtual communities around the classes,”

academically, it is one of just two universities in the UK to be awarded four centres for excellence in teaching and learning.

As a measure of the OU’s standing, 75 of the FTSE 100 companies have sponsored or are sponsoring members of staff through OU qualifications.

The list begins with comprehensive courses offered through online college venues. From there, you’ll discover various computer programs sorted by language or by technology

Instead, follow these simple tips that will help you manage the flow of information better.

critical and historical perspectives on power and everyday life, and how these theoretical and methodological approaches can help us actively understand relations of production and consumption in our daily lives.

This course covers recent research on the structure and analysis of such networks, and on models that abstract their basic properties. Topics include combinatorial and probabilistic techniques for link analysis, centralized and decentralized search algori

introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of

In the 74 years from the October Revolution in 1917 to the fall of Communism in 1991, the Union of Soviet Socialist Republics, its leaders and its people, had to face a number of difficult challenges

explores the sociology of knowledge around sustainability, the economic and technological dimensions and institutional imperatives along with implications for political constitution of economic performance

This course presents a survey of social theory from the 19th century to the present

It looks at the history of the welfare state in the UK, from its creation to the current day, and explores both changes in policy and the future of social welfare.

. It sheds light on the inner workings of power, decision making and protest, and it covers politics from parliament to the street, and the politics of ideas as well as institutions

are we living through a new industrial revolution? What do we know about the economic outcomes of globalisation? Is capitalism environmentally sustainable?

This challenges not only how cities are to be understood, but also how people are to survive and thrive in cities. This course offers a fresh look at cities as the world attempts to grapple with the problems and possibilities that cities present.

Membership is free and by becoming involved in your student association you will develop personal skills that perhaps you didn’t even know you had! We can help you, train you, and together we can help our fellow students.

DD100 will help you understand some of the big issues in the contemporary world, such as changes in family, work and identity; risk and the environment; and the impact of globalisation.

This short online course provides a practical introduction to writing fiction. During the course you will be expected to write two short pieces for assessment.

The Computing and Mathematical Sciences programme will equip you with knowledge and skills in one strand of mathematics – either pure maths, or applied maths, or statistics (you choose) – and an understanding of how these apply to computing, along wit

The London Knowledge Lab is a new research lab of the University of London. Founded in 2004 as a joint venture between the Institute of Education and Birkbeck, the Lab is a unique collaboration of social scientists and computer scientists from the School

The courses listed below are suitable for exchange students.