Tag: machine learning
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Cloudera Machine Learning Slides
A very nice slidedeck from Jeff Hammerbacher of Cloudera. It goes over k-means clustering and some enhancements. 20130521mlmeetup from Jeff Hammerbacher
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Deep Learning – A Term To Know
Deep Learning is a new term that is starting to appear in the data science/machine learning news. What is Deep Learning? According to DeepLearning.net, the definition goes like this: Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its…
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What is Maching Learning
Machine Learning is a term that can mean different things to different people. Andrew Ng, cofounder of Coursera and Professor at Stanford, provides two definitions in his popular Machine Learning Course. The first definition comes from Arthur Samuel around 1959. Field of study that gives computers the ability to learn without being explicitly programmed. The…
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Win-Vector Blog » Data Science, Machine Learning, and Statistics: what is in a name?
Win-Vector Blog » Data Science, Machine Learning, and Statistics: what is in a name?. This is an excellent write-up for the differences between: Statistics Machine Learning Data Mining Informatics Big Data Predictive Analytics Data Science
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Microsoft Machine Learning Summit Live Stream
The 2013 Microsoft Research Machine Learning Learning Summit will be broadcast live today.
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Intoductory Machine Learning Textbook
After numerous semesters of teaching an introductory course on machine learning, Max Welling, Professor at University of California Irvine, decided to compile an introductory textbook titled, A First Encounter with Machine Learning (PDF link).
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Startups working on Machine Learning as a Service (MLaaS)
BigML – A great interface. Just upload your data and it shows basic information for each column such as a histogram and mean values. See the Gallery for some examples of the final models. Wise.io – Just launched, but it looks to be a serious contender. It was started by a team from UC Berkeley.…
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12 Useful Tips for Machine Learning
Pedro Domingos of the Department of Computer Science and Engineering at the University of Washington provides a very useful paper with tips for machine learning. The paper is title, A Few Useful Things to Know about Machine Learning [pdf]. Below are the 12 useful tips. LEARNING = REPRESENTATION + EVALUATION + OPTIMIZATION IT’S GENERALIZATION THAT…
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Data Analysis by Data Type
Data analysis is performed in many different fields and on many different types of data. Most fields call it something different. The following list comes straight from Jeff Leek’s Data Analysis Coursera class. Name of Data Analysis by Data Type Biostatistics for medical data Data Science for data from web analytics Machine learning for data…
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Large-Scale Machine Learning at NYU
New York University is offering a Large Scale Machine Learning course starting later this month. This is NOT a MOOC, so it is not open to everyone. However, the lecture videos will be posted and possibly the other class handouts. This is not an introductory course, so knowledge of machine learning is a prerequisite. The…
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Elements of Statistical Learning Textbook (Free)
The Elements of Statistical Learning textbook is available for free. It is a classic, widely-used textbooks for statistics and machine learning. Here is a far from complete list of some of the topics: Supervised Learning Linear/Logistic Regression Regularization Model Selection Trees Neural Networks Support Vector Machines Random Forests Unsupervised Learning Clustering As you can see,…
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Top ten algorithms in data mining (2007) [pdf] | Hacker News
Top ten algorithms in data mining (2007) [pdf] | Hacker News. The discussion below the link is also very good. If you are curious, here are the 10 algorithms, and the paper is displayed below. C4.5 k-Means SVM Apriori EM PageRank AdaBoost kNN Naive Bayes CART