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CRISP-DM – a Standard Methodology to Ensure a Good Outcome

Summary:  To ensure quality in your data science group, make sure you’re enforcing a standard methodology.  This includes not only traditional data analytic projects but also our most advanced recommenders, text, image, and language processing, deep learning, and AI projects.

 

A Little History…

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Added by William Vorhies on July 26, 2016 at 9:15am — No Comments

Weekly Digest, July 25

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. 

Announcement

  • Explore how government agencies are using predictive analytics to solve real-world problems at the sixth annual…
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Added by Vincent Granville on July 23, 2016 at 9:00am — No Comments

The Top Skills You'll Need to Become a Data Scientist

The online world isn't as simple as we've thought it to be. Behind the seemingly quiet and vast space of nothingness, huge amounts of data are uploaded and downloaded in fractions of a second. Data science does not only keeps track of these numbers, but also attempts to analyze and organize them. Algorithms are created to keep tabs on searches in search engines, analyze user data preference, and so on and so forth.

 

The demand for qualified data scientists have become very…

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Added by Sagar Mandan on July 22, 2016 at 4:00am — No Comments

12 Winning Tips to Clinch Your First Win in Data Science Competitions

Tips by 4 DataHack Winners

 

Nalin Pasricha, DataHack Rank 1

Nalin is an investment banker turned data scientist who currently works as an independent consultant.

He has participated in 17 hackathons at DataHack. He won  Data Hackathon 3.x and emerged as the 1st Runner Up in Black Friday DataHack.

Here’s what Nalin has to say:

  1. Our mind works…
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Added by Sukanya Mohapatra on July 21, 2016 at 10:00pm — No Comments

Guide To Budget Friendly Data Mining

Unlike traditional application programming, where API functions are changing every day, database programming basically remains the same. The first version of Microsoft Visual Studio .NET was released in February 2002, with a new version released about every two years, not including Service Pack releases. This rapid pace of change forces IT personnel to evaluate their corporation’s applications every couple years, leaving the functionality of their application intact but with a completely…

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Added by Irina Papuc on July 21, 2016 at 3:00pm — No Comments

Need for DYNAMICAL Machine Learning: Bayesian exact recursive estimation

 

In my recent blog, Marrying Kalman Filtering & Machine Learning, we saw the merger of Bayesian exact recursive estimation (algorithm for which is Kalman Filter/Smoother in the linear, Gaussian case) and Machine Learning. We developed a solution called Kernel Projection Kalman Filter for business applications that…

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Added by PG Madhavan on July 21, 2016 at 2:06pm — No Comments

New Batch of Great Articles: IoT, Big Data, Data Science

Here is our Thursday selection - all were posted and featured today.

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Added by Vincent Granville on July 21, 2016 at 9:30am — No Comments

A methodology for solving problems with DataScience for Internet of Things - Part One

Introduction

This two part blog is based on my forthcoming book:  Data Science for Internet of Things.

It is also the basis for the course I teach  Data Science for Internet of Things Course.  I will be syndicating sections of…

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Added by ajit jaokar on July 21, 2016 at 7:57am — 3 Comments

12 Useful Resources to Explore the World of Big Data‎

Big data, this flood of data that scares some people, has moved from hype to reality. However, collecting more data does not always mean better insights. The exponential data growth via social networks and soon by connected objects tomorrow has become big challenges. The cursor should now be on the exploitation of useful data; or somebody call it Smart Data. How to achieve this mission to make intelligent data? Please see the Big Data posts from…

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Added by Jason Li on July 21, 2016 at 5:20am — No Comments

Are Pre-hire Talent Assessments Part of a Predictive Talent Acquisition Strategy?

Can Pre-hire Talent Assessments Be a Part of a Predictive Talent Acquisition Strategy?

Over the past 30+ years, businesses have spent billions on talent assessments. Many of these are now being used to understand job candidates. Increasingly, businesses are asking how (or if) a predictive talent acquisition strategy can include the use of pre-hire…

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Added by PIYASHI BHATTACHARYYA on July 21, 2016 at 5:00am — No Comments

Gulp: A Web Developer's Secret Weapon for Maximizing Site Speed

Many of us have to handle web based projects that are used in production, which provide various services to the public. When dealing with such projects, it is important to be able to build and deploy our code quickly. Doing something quickly often leads to errors, especially if a process is repetitive, therefore it’s a good practice to automate such a process as much as possible.

Gulp: A Web Developer's Secret Weapon for Maximizing Site Speed

My fellow developers: There is no excuse for…
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Added by Irina Papuc on July 20, 2016 at 9:00pm — No Comments

Limitations of Deep Learning and strategic observations

While Deep Learning has shown itself to be very powerful in applications, the underlying theory and mathematics behind it remains obscure and vague. Deep Learning works, but theoretically we do not understand much why it works. Some leading machine learning theorists like Vladimir Vapnik criticise Deep Learning for its ad-hoc approach that gives a strong flavour of brute force rather than technical sophistication. Deep Learning is not theory intensive; it is empirical based more (hence…

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Added by Syed Danish Ali on July 20, 2016 at 5:00am — 3 Comments

Quick Start Angular 2: Docs and Example

Angular 2 takes a web component-based approach to building powerful applications for the web. It is used along with TypeScript which provides support for ECMAScript 5, ECMAScript 6, and ECMAScript…

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Added by Anil Singh on July 19, 2016 at 7:00pm — No Comments

Some New Tools To Increase the Productivity of Your DS Group

Summary:  If you’re running a Data Science Team you need to be thinking about efficiency and productivity.  Those solutions can take the form of management and process, but there are also some new tools you should be evaluating.

 

In our last article we talked about some organizational principles and tips for increasing the productivity of your data science team.  Those ideas were in the realm of management and process.  You can tell that our…

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Added by William Vorhies on July 19, 2016 at 10:41am — No Comments

Correlation between stock prices in different industrial sectors

Contributed by Joseph Wang. He  is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between April 11th to July…

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Added by SupStat on July 19, 2016 at 10:30am — No Comments

Marrying Kalman Filtering & Machine Learning

When you Google “Kalman Filter AND Machine Learning”, very few interesting references pop up! Perhaps my search terms are not the best, perhaps Fintech guys keep such algorithms close to their vests, perhaps there is not much of work done in bringing these two incredibly powerful tools together...

In any case, Part II of my new book, “Systems Analytics: Adaptive Machine Learning workbook” focuses exactly on this merger.

I am happy to report that pre-publication copy…

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Added by PG Madhavan on July 18, 2016 at 7:24am — No Comments

Ableism in the Numbers - Social Metrification

Ableism (able + ism) is apparent in many interactions between people. While driving on a road having a posted limit of 60 KPH, I was traveling slower since I expected a red light to soon appear ahead of me. The driver behind me - at that point stopped due to the red light - hollered that no car should be driving less than the posted limit. I explained, "60 is the maximum speed. You shouldn't do more than the…

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Added by Don Philip Faithful on July 16, 2016 at 6:27am — No Comments

Free Alternatives to Excel for Data Cleaning

Pretty much every data rookie starts with Excel. It is a wonderful program for storing, cleaning and analysing (yes, you read that correctly) your data.

Strictly speaking, Excel isn’t free, but really – who pays for it these days? If you buy a Windows PC or laptop it’ll usually come pre-installed, and if you get a new PC at work your employer will have it pre-installed for you. If you’re prepared to look the other way, there are guys who know guys who can get you a copy that fell off…

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Added by Lee Baker on July 15, 2016 at 6:19am — 10 Comments

Smart Machines- No More Human Involvement Required

Machines and tools used in complex industrial procedures, as well as the ones used for daily purposes, have advanced considerably in the recent past. Smart machines are intelligent devices or equipment that use…

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Added by Khusro Khan on July 15, 2016 at 2:30am — No Comments

Is AI a dude or a dudette?

The gender of artificial intelligence

By Tyler Schnoebelen,

 

There’s Apple’s Siri, Microsoft’s Cortana, Amazon’s Alexa, and Nuance’s Nina. Sure, Facebook has “M”, Google has “Google Now”, and Siri’s voice isn’t always that of a woman. But it does feel worth noting that (typically male-dominated) engineering groups routinely give women’s names to the things you issue commands to. Is artificial…

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Added by Leena Kamath on July 14, 2016 at 9:21am — 1 Comment

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