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All Blog Posts Tagged 'learning' (225)

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

Guide: What is Human-in-the-Loop Machine Learning?

Machine learning isn't a set-it-and-forget-it operation. Even with solid examples, ML algorithms can still fail and end up blocking important emails, filtering out useful content, and causing a variety of other problems.…

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Added by Renette Youssef on February 5, 2015 at 10:30am — No Comments

Financial Modeling Best Practices

Applications of Financial Modeling

The  purpose of Financial Modeling is to build a Financial Model which can enable a person to take better financial  decision.The decision could be affected by future cash flow projections , debt structure for the company etc. All these factors may affect the viability for a project or investment in a company.The Applications of Financial  Modeling mainly includes the followings :

  • One applications of…
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Added by rajesh dhnashire on January 26, 2015 at 11:00pm — No Comments

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 of…

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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

New Beginnings in Facial Recognition

As humans, we navigate our lives largely by the recognition of patterns. These patterns include the sound of a mother’s voice, the appearance of a dangerous animal or poisonous food, the familiarity of kin, and the attraction to potential mates. Accurate pattern recognition is key to an animal’s survival and progress, and has allowed humans to become the socially complex and advanced species we are today. 

It should come as no surprise that…

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Added by Sean McClure on September 29, 2014 at 9:01am — 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

22 Non Statistical Questions for a Statistician

We have always believed that when the world of business collides with the world of math, magic unfolds. As these 2 worlds collide, it also presents a set of unique challenges - bridging the semantic language gap between business and math. Modelling complex business outcomes using math requires an interdisciplinary team consisting of business folks, data folks and math folks. While doing so business folks are always at a loss because a language chasm exists. Math folks love their ”geek…
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Added by derick.jose on June 17, 2014 at 2:00am — No Comments

Starting down the path of Data Science

I've always been interested in data, how it's interpretted and the different ways it can be sliced. However, I've always considered statstics itself to be a math that I didn't like. As "data science" and "big data" became more popular, however, I started to look into ways to learn more about it and possibly use it as a entry into another act of my career.

The advent of MOOCs has opened up the possibility of learning new subjects and subject-focused websites like Data Science Central…

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Added by Don VanDemark on May 18, 2014 at 1:00pm — 2 Comments

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

Warm-up exercise before data science.

Practicing Data science indeed a long term effort than a learning handful of skills.  We ought to be academically good enough to take up this challenge. However, if you think you came a long way from your academic rebuilding,  but you still have that zeal & passion to take the oil from the data and fill the skill gap of data science then here is the warm-up tips. Below points must exercised before jumping into…

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Added by Manish Bhoge on October 18, 2013 at 9:26am — No Comments

Random Forests Algorithm

One of the most popular methods or frameworks used by data scientists at the Rose Data Science Professional Practice Group is Random Forests. The…

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Added by Michael Walker on September 24, 2013 at 8:30pm — 1 Comment

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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