Machine Learning Trick of the Day (5): Log Derivative Trick
Machine learning involves manipulating probabilities. These probabilities are most often represented as normalised-probabilities or as log-probabilities. An ability to shrewdly alternate between these two representations is a vital step towards strengthening the probabilistic dexterity we need to solve modern machine learning problems. Today's trick, the log derivative trick, helps us to do just t
Longitudinal study - Wikipedia
A longitudinal study (or longitudinal survey, or panel study) is a research design that involves repeated observations of the same variables (e.g., people) over long periods of time (i.e., uses longitudinal data). It is often a type of observational study, although it can also be structured as longitudinal randomized experiment.[1] Longitudinal studies are often used in social-personality and clin
Why a deep-learning genius left Google & joined Chinese tech shop Baidu (interview)
Join us in returning to NYC on June 5th to collaborate with executive leaders in exploring comprehensive methods for auditing AI models regarding bias, performance, and ethical compliance across diverse organizations. Find out how you can attend here. SUNNYVALE, California — Chinese tech company Baidu has yet to make its popular search engine and other web services available in English. But consid
A Course in Machine Learning
by Hal Daumé III Machine learning is the study of algorithms that learn from data and experience. It is applied in a vast variety of application areas, from medicine to advertising, from military to pedestrian. Any area in which you need to make sense of data is a potential consumer of machine learning. CIML is a set of introductory materials that covers most major aspects of modern machine learni
» Devs Love Bacon: Everything you need to know about Machine Learning in 30 minutes or less hilarymason.com
I spoke at devs love bacon back in April on Everything You Need to know about Machine Learning in 30 Minutes or Less. The talk is geared toward engineers with no prior knowledge of machine learning, and it’s designed to lay out the basic vocabulary and way that we think about the world to provide an amusing foundation so that attendees will have a head start in investigating which techniques they
Introduction to Conditional Random Fields
Imagine you have a sequence of snapshots from a day in Justin Bieber’s life, and you want to label each image with the activity it represents (eating, sleeping, driving, etc.). How can you do this? One way is to ignore the sequential nature of the snapshots, and build a per-image classifier. For example, given a month’s worth of labeled snapshots, you might learn that dark images taken at 6am tend
アヴィナッシュ・カウシック
Here’s a sign that you’ve arrived as an Analyst or an Analytics team: At the first sign of failure reported by the data, most people blame you (Analyst/Data). Wear it as a badge of honor! It means your analysis has identified insights that are big enough, important enough, that the recipients get instantly worried. Ideally, you live in a culture where good analysis identifying poor performance wou
David MacKay: Information Theory, Inference, and Learning Algorithms: The Book
Information Theory, Inference, and Learning Algorithms (Hardback, 640 pages, Published September 2003) Order your copy Price: £35.00 / $60.00 from |CUP UK/USA| |amazon.co.uk/.com/.ca/.co.jp| | Barnes & Noble USA | booksprice. | fetchbook.info | allbookstores | biggerbooks | blackwells | directtextbook | kalahari.net (South Africa) | Special Paperback edition for South Asia.| Download the book too
So You Like Big Data…
The increasing volume of data that we generate as a species is a story so overplayed as to have become trite. Indeed, a vast amount of this data is in the public domain, including data from the full text and common ngrams of books, genome research, the United States census, and much more. There is also open-source software not only to crawl the web, but also to search the data your crawl. So, if
Genetic Algorithm For Hello World « puremango.co.uk
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Gabor Cselle - Organizing Email
Gabor Cselle, Master's Thesis, ETH Zurich Abstract Email clients were not designed to handle the volume and variety of messages users are dealing with today. While this problem, termed “email overload,” is widely acknowledged, there exist only few products which attempt to solve it. This thesis discusses an email client extension aimed at sensibly structuring the user’s incoming email. We develope
Data Analysts Captivated by R’s Power (Published 2009)
R first appeared in 1996, when the statistics professors Robert Gentleman, left, and Ross Ihaka released the code as a free software package.Credit...Left, Stuart Isett for The New York Times; right, Kieran Scott for The New York Times To some people R is just the 18th letter of the alphabet. To others, it’s the rating on racy movies, a measure of an attic’s insulation or what pirates in movies sa
Strata Gems: Five data blogs you should read - O'Reilly Radar
Strata Gems: Five data blogs you should read Data geekery, visualization and journalism We’re publishing a new Strata Gem each day all the way through to December 24. Yesterday’s Gem: The timeless utility of sed and awk. Whether your interest in data is professional or casual, commercial or political, there’s a blog out there for you. Feel free to add your own suggestions to the comments at the bo
Octave manual (en)
Copyright © 1996-2023 The Octave Project Developers Permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and this permission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this manual under the conditions for verbatim copying, provided that the entire resulting derived work is distributed un
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TensorFlow with Greg Corrado - Software Engineering Daily
David MacKay: Information Theory, Inference, and Learning Algorithms: Home
How do I get an analytics, data-oriented job at LinkedIn or another analytics focused company without much background in CS and software ...
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Reddit - Dive into anything
An Introduction to R: 9780954612085: Medicine & Health Science Books @ Amazon.com