Recap of Data Science News for July

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.

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.


Data Science Training

If you would like more information about Data Science careers, please click the orange "Request Info" button on top of this page.

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

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.


CLICK HERE to get the Data Scientist Salary Report for 2016 delivered to your inbox!

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

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.


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

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.


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

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.


Enrol now for certified Data Science Training to become a Data Scientist!

News on Data Science in R programming – July 2016

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

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.


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

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.


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

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.


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

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.


How to Ace a Data Science Interview. July 26,

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: )



Data Science Training

Relevant Projects

Mercari Price Suggestion Challenge Data Science Project
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.

Data Science Project on Wine Quality Prediction in R
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.

Predict Credit Default | Give Me Some Credit Kaggle
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.

Data Science Project in Python on BigMart Sales Prediction
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.

Ecommerce product reviews - Pairwise ranking and sentiment analysis
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.

Learn to prepare data for your next machine learning project
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.

Time Series Forecasting with LSTM Neural Network Python
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.

Machine Learning project for Retail Price Optimization
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.

Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.

Machine Learning or Predictive Models in IoT - Energy Prediction Use Case
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.