# This Week in Data Science (March 21, 2017)

Posted on March 21, 2017 by Janice Darling

Here’s this week’s news in Data Science and Big Data.

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**INTERESTING DATA SCIENCE ARTICLES AND NEWS**

- Interactive or not to interactive visualization?

– Things to keep in mind when tailoring visualization to different audiences. - Applying Machine Learning To March Madness

– Can Machine Learning tackle March Madness Predictions? - 4 Tricks for working with R, Leaflet and Shiny – Four tricks to consider to improve apps.
- 17 More Must-Know Data Science Interview Questions and Answers, Part 3

– Sample Data Science interview questions covering topics such as A/B testing, data visualization among other topics. - If You Care About Bid Data, You Care About Stream Processing – How stream processing is used to manage large volumes of data.
- Visualization choice depends on the data and the questions

– Factors that affect the dataset and visualization choice in Data Visualization projects. - 7 Types of Data Scientist Job Profiles

– A condensed description of 7 different Data Scientist profiles. - Understanding the power of real-time geospatial analytics

– The uses of geospatial analytics in monitoring IoT devices. - 6 Business Concepts you need to become a Data Science Unicorn

– 6 concepts Data Scientists should know in order to solve data science problems from a business point of view. - A vision of hybrid cloud for big data and analytics

– A definition and outlook of the Hybrid Cloud for Big Data and Analytics. - Neural Networks: How they work, and how to train them in R

– An overview of Neural Networks and dedicated packages in R. - Text Analytics: A Primer

– A brief discussion about the History and uses of Text Analytics. - List of Must- Read Free Books for Data Science

– A list of recommended books to read for Data Science. - So You Built a Machine Learning Model?

– Tips for improving Machine Learning Models. - IBM’s Watson Is Tackling Healthcare With Artificial Intelligence

– How Watson’s ability to analyze large amounts of data make it a natural fit for medical applications.

## FEATURED COURSES FROM BDU

- Big Data 101 – What Is Big Data? Take Our Free Big Data Course to Find Out.
- Predictive Modeling Fundamentals I

– Take this free course and learn the different mathematical algorithms used to detect patterns hidden in data. - Using R with Databases

– Learn how to unleash the power of R when working with relational databases in our newest free course. - Deep Learning with TensorFlow – Take this free TensorFlow course and learn how to use Google’s library to apply deep learning to different data types in order to solve real world problems.

## COOL DATA SCIENCE VIDEOS

- Machine Learning With Python – Supervised VS Unsupervised Learning

–The basics of Supervised and Unsupervised Learning. - Machine Learning With Python – Supervised Learning Classification

– An overview of classification. - Machine Learning With Python – Unsupervised Learning

– An overview and real world applications of Unsupervised Learning.

Tags: analytics, Big Data, data science, weekly roundup