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Recap of Data Science News for July

News on Data Science in Python – July 2016

Data Science News for July

Google DeepMind technology uses Machine Learning to enhance eye care. July 4, 2016. TheVerge.com

Google’s DeepMind is using machine learning algorithms to help doctors detect extreme cases of eye diseases or sight threatening maladies. Currently DeepMind is concentrating on detecting these eye problems with more accuracy - wet age-related macular degeneration and diabetic retinopathy.

(Source:http://http://www.theverge.com/2016/7/5/12095830/google-deepmind-nhs-eye-disease-detection)

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TransUnion jumps on the Data Science ship to drive big data development. July 11, 2016. Datanami.com

TransUnion – the credit bureaus that control the rate on your loan is using data science to provide solutions for fraud detection, collection, marketing, etc. TransUnion has 25 data centres across the states and maintains a staggering 30 petabytes of data, including credit-related records on more than 1 billion people and full credit histories on 500 million. TransUnion receives more than 3 billion monthly updates from its 90,000 or so data sources and processes more than 15 billion batch inquiries every month.

(Source: http://www.datanami.com/2016/07/11/transunion-maximizes-data-science-tools-talent/)

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How data science is shaping Entrepreneurs’ business strategies. July 19, 2016. iamwire.com

Kevin Novak, Head of Data Science platform in Uber, recently gave a talk on TEDxWakeForestU, on how data science driven technology platforms are changing the business strategies. Kevin shares in detail on how Uber utilized data science to leverage its product and drives sales.

(Source: http://www.iamwire.com/2016/07/video-data-science-entrepreneurs/139647)

3 Changes to revolutionize the Data Science Team. July 24, 2016. VentureBeat.com

Data Science is a hot topic and everybody wants a Data Scientist in their team. While individuals with the complete data science skills are rare, it is easier for companies to build a data science team of smart individuals. There are 3 things that can help you create a winning data science team every time – don’t get boxed in with specific data science skills, do not separate business from the analysts and don’t push your data into a corner.

(Source: http://venturebeat.com/2016/07/24/3-changes-that-will-strengthen-your-data-science-team/)

4 Reasons Not To Get That Masters in Data Science. July 29, 2016. Forbes.com

College graduates are earning advanced Masters in Data Science at a considerable expense. Meta S Brown, a contributor of Forbes Magazine highlights that a Masters in Data Science won’t pay off and the returns will not be as great as the graduates expect. Meta S Brown highlights that to get a data science job, all you need is a good grasp of data scientist skills that can help your employer solve business problems and the capability to convince the employer of what they can do.

 (Source: http://www.forbes.com/sites/metabrown/2016/07/29/4-reasons-not-to-get-that-masters-in-data-science/#f1f2419694f3)

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News on Data Science in R programming – July 2016

The 2016 Leader board for Data Science Game has just been released. July 2, 2016. DZone.com

The Data Science Game is a French Association that is promoting data science learning in school to college level students. Stanford, Princeton and City University of London are some of the big names that are participating in this game.

(Source: https://dzone.com/articles/data-science-game-2016-leaderboard-update)

Elena Grewal to head the team of Data Scientists at AirBnB. July 9, 2016. LATimes.com

Elena Grewal brings her unique blend resourcefulness to lead the data science team at AirBnB. AirBnB data science team touches every aspect of a visitor’s journey in their site and Elena aims to use that data to increase conversion.

(Source: http://www.latimes.com/business/technology/la-fi-himi-grewal-snap-story.html)

Data Science and Democracy: A delicate balance. July 19, 2016. DemocraticAudit.com

There is a rise in political parties using data science techniques to know the moods and sensitivities of their voters. The question still arises as to whether political parties will be able to understand the needs of the people through data driven results.

(Source: http://www.democraticaudit.com/?p=23474)

The Economist Intelligence Unit finds UK Companies to seriously lack Data Exploitation skills. July 27, 2016. ComputerWeekly.com

According to an Economist Intelligence Unit (EIU) conducted study, since 2011, the percentage of companies unable to use their data to business solutions has grown to 17% in the UK, while a whopping 24% of the companies worldwide, and do not know how to utilize their data in 2016.

(Source: http://www.computerweekly.com/news/450301067/UK-firms-miss-out-on-lucrative-data-science-exploitation)

How to Ace a Data Science Interview. July 26, 2016.FastCompany.com

Having done thorough preparation for your data science interview and actually landed the data science interview call for the interview process- the long path ahead begins. For candidates looking to land a data science job, Fast Company highlights data science interview preparation for each step of the process that will help you know what you can expect from each round of the dreaded data science interview.

(Source: http://www.fastcompany.com/3062158/hit-the-ground-running/how-to-ace-a-data-science-interview )

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