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All Blog Posts Tagged 'machine' (224)

Step-by-step video courses for Deep Learning and Machine Learning

UPDATE: Mar 20, 2016 - Added my new follow-up course on Deep Learning, which covers ways to speed up and improve vanilla backpropagation: momentum and Nesterov momentum, adaptive learning rate algorithms like AdaGrad and RMSProp, utilizing the GPU on AWS EC2, and stochastic batch gradient descent. We look at TensorFlow and Theano starting from the basics - variables, functions, expressions, and simple optimizations - from there, building a neural network seems simple! …

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Added by LazyProgrammer.me on January 23, 2016 at 8:30pm — 2 Comments

5 predictions for 2016 on data, analytics and machine learning

The first prediction is that data and analytics will continue to grow at an astounding pace and with increased velocity

This is no big surprise as all the past reports have pointed towards this growth and expansion -…

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Added by Bruce Robbins on January 3, 2016 at 5:00am — No Comments

The Data-Driven Weekly #1.2

Last week witnessed a number of exciting announcements from the big data and machine learning space. What it shows is that there are still lots of problems to solve in 1) working with/deriving insights from big data, 2) integrating insights into business processes.



TensorFlow

Probably the biggest (data) headline was that Google open sourced TensorFlow, their graph-based…

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Added by Brian Rowe on November 17, 2015 at 6:02am — No Comments

What Is Unsupervised Learning?

 Unsupervised learning algorithms are machine learning algorithms that work without a desired output label. A supervised machine learning algorithm typically learns a function that maps an input x into an output y, while an unsupervised learning algorithm simply analyzes the x’s without requiring the y’s. Essentially, the algorithm attempts to estimate the underlying structure of the population of x’s (in other…

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Added by Aureus Analytics on November 16, 2015 at 10:00pm — No Comments

Handbook of Research on Ubiquitous Machine Learning and its Applications - IGI Global

I'm currently in the process of editing a book entitled "Handbook of Research on Ubiquitous Machine Learning and its Applications" by IGI Global. This book will cover research works on the topics of Machine Learning, Data Mining, Clustering, Classification, etc, and it will be published by the end of 2016.
 
 
The call for proposals is now open: …
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Added by Neuza Nunes on October 23, 2015 at 11:57am — No Comments

10 Popular Java Machine Learning Tools & Libraries

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Added by Demnag on September 13, 2015 at 8:07pm — No Comments

Training Neural Networks: Q&A with Ian Goodfellow, Google

Neural networks require considerable time and computational firepower to train. Previously, researchers believed that neural networks were costly to train because gradient descent slows down near local minima or saddle points. At the RE.WORK Deep…

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Added by Sophie Curtis on September 3, 2015 at 8:59am — No Comments

Data Science and Technology Monthly - August 2015

Hello and Welcome back!

This series is my attempt to start cataloging all the interesting articles, industry reports, whitepapers, and news that I read every month, related to technology and data science. We are at Month 2 and let us dig right in -

1. Network Effects, Digital Avatars and Advertising

This essay titled "…

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Added by Srividya Kannan Ramachandran on August 17, 2015 at 5:30am — No Comments

Machine Learning in Javascript- A compilation of Resources

One of the beauties of running Javascript related applications is you don’t need to install any client side software, optimize servers and spend tons of time on the core infrastructure. Javascript just work outs of the core browser. In that spirit, there is a lot of increasing momentum on building Machine Learning in Javascript. We have collected a list of resources on Javascript…

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Added by Vozag on August 6, 2015 at 9:30pm — No Comments

Machine learning is not better than Human learning.

Alan Turing was the first one to present the idea of simulating the machine thinking. Its been more than 60 years since the ground breaking paper of Alan Turing came out, The Imitation Game. The world has changed rapidly since then. 

The machines of today have become so powerful. They can actually think, which endorses the idea of Alan Turing presented in 50s. However, the machine thinking may be different. Alan Turing argued, just because the thinking can be…

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Added by Rana Usman on June 30, 2015 at 12:54pm — 2 Comments

Ten General Principles in Data Mining/Science

Through years, working with different clients and applications, I have found a set of data mining general principles that also hold through in the context of big data.  These are all listed in my book. Here I enumerate them using the terminology I have used in the book:
  1. Use of “all the data” is not equivalent to building the deepest Analytics Dataset (ADS) in terms of…
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Added by Khosrow Hassibi on April 3, 2015 at 9:30am — 1 Comment

Get Started with the Data Science Bowl

We’ve created a Domino project with starter code in R and Python for participating in the Data Science Bowl. 

Get a jump start in the competition with our starter project by training your models on massive hardware and running multiple experiments in parallel while keeping track…

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Added by Anna Anisin on January 13, 2015 at 3:00pm — No Comments

How-to use Bag of little bootstraps Methodology to Compute Error Bounds on Machine Learning Tasks

We all know that calculating error bounds on metrics derived from very large data sets has been problematic for a number of reasons. In more traditional statistics one can put a confidence interval or error bound on most metrics (e.g., mean), parameters (e.g., slope in a regression), or classifications (e.g., confusion matrix and the Kappa statistic).

For many machine learning applications, an error bound could be very important.…

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Added by Anna Anisin on December 14, 2014 at 3:33pm — No Comments

Don’t Judge a Tweet by its 140 Characters: How One App is Using Machine-Learning to Tackle Credibility on Twitter

When you use Twitter, how do you know when you are being presented with something credible instead of something totally bogus? The answer is, unless you spend a lot of time researching each tweet, you probably don’t. However, one thing is for certain, we rely on what we read on Twitter to be true.

Twitter is one of the fastest and most effective ways we disseminate news across our world. If this…

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Added by Renette Youssef on December 8, 2014 at 4:00pm — No Comments

Apache Spark: distributed data processing faster than Hadoop

This blog is extrapolated from DataScience Hacks by the author himself. 

Apache Spark, another apache licensed top-level project that could perform large scale data processing way faster than Hadoop (I am referring to MR1.0 here). It is possible due to Resilient Distributed Datasets concept that is behind this fast data processing. RDD is basically a collection of objects,…

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Added by Pavan Kumar on September 28, 2014 at 7:00am — 1 Comment

Building a house and building a data-analytic model

If I want to build a house, wouldn't it be wise to learn carpentry? Does the analogy hold for data-analytic multivariate models? Or is it simply enough to let a machine do it, with no knowledge by the machine operator of how to interpret the results from those modeling efforts? Or is it true, as one person has recently asserted, that he could replicate ALL statistical procedures and techniques using MapReduce, without knowing anything about statistics and probability, or the vast collection…

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Added by Bill Luker Jr on April 28, 2014 at 6:51am — 2 Comments

Bring Data Science to Everyday Life

Data science might be one of the hottest buzzwords in 2013. But is it only a marketing gimmick? I don’t think so. In my opinion, data science can be the best protocol that reveals what’s happening every day in the real world.

The data science incorporates mathematics, statistics, computer science and…

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Added by Yuanjen Chen on February 6, 2014 at 6:30pm — No Comments

Sensors Here, There and Everywhere

Smart organizations are using the power of data science and data produced by embedded sensors and machine devices to better measure performance, discover patterns, prevent problems, and improve…

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Added by Michael Walker on October 29, 2013 at 11:30am — 3 Comments

High Performance Computing + Data Science = Competitive Advantage

High Performance Computing (HPC) plus data science allows public and private organizations get…

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Added by Michael Walker on September 17, 2013 at 12:28pm — 1 Comment

Data Scientist Core Skills

Data Science - The Process of Capturing, Analyzing and Presenting Business Intelligence with Skill DataReality

Capture

Programming and Database skills …

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Added by Mitchell A. Sanders on August 27, 2013 at 4:00pm — 25 Comments

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