Recap of Data Science News for May

Recap of Data Science News for May

News on Data Science in Python – May 2016

Data Science in Python

CEO of Hamilton says Data Science has the potential to transform the industry. May 4, 2016. 

Brian Duperreault, the CEO of Hamilton, brought all the partners together to build a technology-enabled-customer-centric-insurance platform for SMEs. Duperreault feels that this is the right step in bringing Data Science closer to solving real business issues. Hamilton has shaken hands with AIG to take this Joint Venture live.

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Twitter is building a Data Science team in Singapore and it needs Developers! May 11, 2016.

Twitter set up its office in Singapore last year and it is looking to hire developers for their first All Asia Data Science team. Singapore is already facing a huge shortage in qualified data scientists. With the recent demand that companies like Twitter is making – the strain on finding the right data science talent in Singapore is getting more intense.

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Demandbase Signs Agreement to Acquire Data Science Company Spiderbook. May 24, 2016.

Demandbase, a leading provider in account-based marketing is acquiring data science company Spiderbook. Spiderbook identifies companies that are likely to buy along with those that are already using a specific company’s services or products. After this, it determines the actual buyers within those accounts to find out buyer specific insights. These insights can be used by the sales team to personalize their messages to customers.

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How data science can help save the world. May 30, 2016. Huffingtonpost

The world’s largest online platform with 146 million users – that creates 200,000 successful campaigns a year is using data science to find their next opportunity. The team at says feels that Data Science is more interdisciplinary than what the name suggests. When working with big data, scale is not the hardest part of the job but rather how you grapple with the difficult choices outside the ocean of numbers is what matters. The data science team at is using data science to identify the relationship patterns between language and the type of petitions being created.

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Data Science With Python - Unleash the Power of Python & Its Data Science Capabilities - Research and Markets. May 30, 2016. Businesswire

Python has evolved over the years as a popular data science programming language and today it has become a prominent choice amongst data scientists. Python provides an environment for data scientists to quickly jot down the ideas and implement them into actions easily without worrying about the complex parts of programming. Research and Markets has released a book on Data Science with Python that helps data science practitioners understand the key theoretical concepts of Python programming language.

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NASA Helps Launch Data Science Grad Program. May 23, 2016. Datanami

University of California at Riverside is all set to add data science specialization to its course curriculum in collaboration with NASA’s Jet Propulsion Laboratory (JPL) science staff. The data science graduate program by University of California is designed to help scientists, engineers, social media professionals and medical professions looking to expand their learning in data mining, data visualization, statistical computing and machine learning.

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Snapdeal establishes data sciences centre in California. May 30, 2016. YourStory

Indian e-commerce giant Snapdeal is all set to establish its new data science centre in San Carlos, California to build high value customer centric solutions. The main objective of setting up the data science centre is to provide in-depth clarity to Snapdeal’s consumer initiatives whilst reshaping the overall business strategy to optimize operational efficiencies.

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News on Data Science in R– May 2016

A Master’s student takes a look inside Bitcoin’s Data Science process. May 3, 2016.

Imperial’s Data Science Institute is being used to navigate through the complex labyrinth of Bitcoin’s digital transactions. Every transaction in Bitcoin is public. All the transactions are arranged into blocks of data – which allows one to check if the transaction has taken place and prevents fraud.

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Adobe has added Data Science to its Cloud Services. May 11, 2016. 

Software vendors like Adobe are rushing to contribute to the increasing demand on efficiently getting insights out of data. Adobe has now added a range of data science algorithms to help customers sort through all the different services to fit their requirements better.

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NUS sets up Institute of Data Science. May 27, 2016.ChannelNewsAsia

The National University of Singapore (NUS) on Friday launched the new IDS (Institute of Data Science) with the intent to back Singapore’s Smart Nation initiative. It will provide fifty scholarships in the next 5 years to train PhD students in analytics and data science. Microsoft will be NUS’s first industry partner to play a vital role in contributing technology and expertise for data science research.

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Krux Unveils Data Science as a Service Platform at Data Matters 2016. May 27, 2016. MarketWired

Krux has launched Data-Science-as-a-Service offering to help developers, data analysts and service providers harness the power of machine learning by gleaning valuable insights from the data present on Krux’s cloud. DSaaS will provide Krux clients with all the required data science tools and technological infrastructure for gleaning meaningful insights. The platform is set to create diverse opportunities for organizations interested in discovering patterns and trends in their data to drive business growth.

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Learn Data Science in R Programming

Relevant Projects

Zillow’s Home Value Prediction (Zestimate)
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.

Deep Learning with Keras in R to Predict Customer Churn
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.

Data Science Project-TalkingData AdTracking Fraud Detection
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Customer Churn Prediction Analysis using Ensemble Techniques
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.

Predict Employee Computer Access Needs in Python
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.

Music Recommendation System Project using Python and R
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.

Predict Churn for a Telecom company using Logistic Regression
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.

Predict Census Income using Deep Learning Models
In this project, we are going to work on Deep Learning using H2O to predict Census income.

Data Science Project - Instacart Market Basket Analysis
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Choosing the right Time Series Forecasting Methods
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.