Blogs about: Machine Learning 2

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What is probabilistic truth?3 comments

Corey Chivers wrote 5 days ago: I am currently working on a validation metric for binary prediction models. That is, models which ma … more →

Tags: Decision Making, Probability, rstats, binary prediction model, Calibration, probabilistic truth, validation

The key to growth? Race with the machines

Dahtastic wrote 1 week ago: Erik Brynjolfsson in his recent talk at TED analyses the effects of technology on business strategy, … more →

Tags: Analytics, "big data", Tech-no!-logy, Erik Brynjolfsson, Race with the machines

Webinar - Advanced Predictive Modelling for Manufacturing

chemicalstatistician wrote 1 week ago: The company that I work for, Predictum, is about to begin a free webinar series on statistics and an … more →

Tags: Applied Statistics, Data Mining, Machine learning, predictive modelling, Presentations & Appearances, applied statistics, Data Mining, statistics, Webinar

Presentation Slides - Overcoming Multicollinearity and Overfitting with Partial Least Squares Regression in JMP and SAS

chemicalstatistician wrote 1 week ago: My slides on partial least squares regression at the Toronto Area SAS Society (TASS) meeting on Sept … more →

Tags: Applied Statistics, predictive modelling, Machine learning, Data Mining, Presentations & Appearances, statistics, Linear Regression, applied statistics, Predictive Modelling

Natural Language Processing - Terminology

Neeraj Khandelwal wrote 1 week ago: Artificial Intelligence has lots of application. One of which is Natural Language Processing or in s … more →

Tags: Machine learning, Natural Language Processing, classification, Clustering, features, K-Means, ML, N-gram, naive bayes

Machine Learning - week 3

ilanthedataman wrote 1 week ago: Recall that in last week’s installment of Coursera’s Machine Learning class, we covered … more →

Tags: classification, datascience, ggplot2, Machine learning, R programming, classification, Coursera, gradient descent, logistic regression

A SunBurst of Insight1 comment

davidgerster wrote 2 weeks ago: This is a guest post by David Gerster (@gerster), a data scientist and investor in BigML. I work at … more →

Tags: testimonials, visualization, Sunburst

What is Maching Learning

Ryan Swanstrom wrote 3 weeks ago: Machine Learning is a term that can mean different things to different people. Andrew Ng, cofounder … more →

Tags: Coursera, Learn Data Science, Machine learning, Coursera, Recommender Systems, supervised learning, Unsupervised Learning

Con­di­tional Gra­di­ent Descent (a.k.a. Frank-Wolfe algorithm)

zhanxing wrote 3 weeks ago: Recently, I read Martin Wainwright’s old paper: A new class of upper bounds on the log partiti … more →

Tags: Machine learning, Optimization, conditional gradient

Win-Vector Blog » Data Science, Machine Learning, and Statistics: what is in a name?

Ryan Swanstrom wrote 3 weeks ago: Win-Vector Blog » Data Science, Machine Learning, and Statistics: what is in a name?. This is an exc … more →

Tags: Learn Data Science, "big data", Data Mining, Data science, Predictive Analytics, statistics

Machine Learning - week 1 & 21 comment

ilanthedataman wrote 3 weeks ago: This week marked the start of Coursera’s highly popular Machine Learning course, taught by Cou … more →

Tags: datascience, Machine learning, R programming, regression, Coursera, gradient descent, R-Programming

Microsoft Machine Learning Summit Live Stream

Ryan Swanstrom wrote 1 month ago: The 2013 Microsoft Research Machine Learning Learning Summit will be broadcast live today. … more →

Tags: Learn Data Science, 2013, Microsoft

A New Way to Visualize Decision Trees3 comments

ashenfad wrote 1 month ago: If you’ve built decision trees with BigML or explored our gallery, then you should be familiar with … more →

Tags: New Features, visualization, decision trees, Sunburst

Connection between prediction market and stochastic mirror descent

zhanxing wrote 1 month ago: My Ph.D research topic is about machine learning market, primarily trying to apply market mechanism … more →

Tags: prediction market, Mirror Descent, Machine learning, Divergence

Machine Learning

neolimeng wrote 1 month ago: References Online course … more →

Tags: Machine learning

Presentation Slides: Machine Learning, Predictive Modelling, and Pattern Recognition in Business Analytics

chemicalstatistician wrote 1 month ago: I recently delivered a presentation entitled “Using Advanced Predictive Modelling and Pattern … more →

Tags: Applied Statistics, Machine learning, Data Mining, Presentations & Appearances, Predictive Modelling, predictive modeling, Data Mining, jmp, Seminar

The Three Cardinal Virtues of Ensemble Learning1 comment

charleslparker wrote 1 month ago: Ensemble algorithms.  Why do they work? It seems like kind of a crazy idea: Let’s take our original … more →

Tags: BigMLer, Ensembles, Tutorial, Bagging, boosting

Engineering scientific discovery

harveyjohnson wrote 1 month ago: I was recently listening to archived Radiolab episodes, and came across this story about Eureqa, a c … more →

Tags: steven strogatz, multivariable calculus, advanced chemistry, eureqa, RadioLab, newtons laws of motion, Artificial Intelligence, newton, algorithm

Intoductory Machine Learning Textbook1 comment

Ryan Swanstrom wrote 1 month ago: After numerous semesters of teaching an introductory course on machine learning, Max Welling, Profes … more →

Tags: Learn Data Science, University of California-Irvine, Irvine, max welling


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