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Data Science 101: Handling Missing Data (Revisited)

I recently received the following question on data science methods from an avid reader of insideBIGDATA who hails from Taiwan. I think the topics are very relevant to many folks in our audience so I decided to run it here in our Data Science 101 channel. The issue of missing data is one most data scientists see quite frequently.

Deep Learning Course Student Launches Big Data Visualization Software Company

Richard Sheng is the co-founder of QuantumViz, a big data visualization software company that allows data scientists and analysts to find insights in massive data sets, and create amazing data stories in 3D, VR, or AR. Richard worked in data science previous to taking the Deep Learning course with NYC Data Science Academy but now works as the CEO and co-founder of QuantumViz, which was his final project of the course.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – April 2018

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Interview: John Hart, Professor of Computer Science at University of Illinois

I recently caught up with John Hart, Professor of Computer Science at University of Illinois, to discuss his university’s new Master of Computer Science in Data Science (MCS-DS) degree program. The completely online degree allows students to learn about new statistical and computational tools that are transforming business and society from the Illinois faculty who are pioneering them. Students discover Data Science: the art of extracting new knowledge and finding meaningful information in a massive sea of data.

As a Data Scientist, Do You Have to Start Worrying About Blockchain Any Time Soon?

In this contributed article, Smita Adhikary, Managing Consultant at Big Data Analytics Hires, provides a look into Blockchain technology and what it means for the data scientist. When you hear something repeated as frequently and as religiously as the term Blockchain is these days, you cannot help but wonder – am I immune to it’s onslaught?

3 Ways Marketers Should Use Data Science to Skyrocket Marketing Results

In this contributed article, journalist Olivia Ryan provides 3 ways marketers should use data science to skyrocket marketing results. The purpose of “data science” is to solve complex problems that organizations face by means of analytics. In digital marketing, data science becomes critically important.

Survey Finds Barriers That Prevent Organizations From Realizing Data Science Return on Investment

Domino Data Lab, provider of the advanced data science platform, announced the findings of a survey of more than 250 data science leaders and practitioners. The survey revealed factors that enable data science teams to achieve return on investment (ROI), top capabilities contributing to their success, and priorities they must address this year.

Booz Allen & Kaggle’s Annual Data Science Competition Puts AI to Work Accelerating Life-Saving Medical Research

To spur automation of biomedical analysis, Booz Allen Hamilton (NYSE: BAH) and Kaggle launched the 2018 Data Science Bowl, a 90-day competition that calls on thousands of participants globally to train deep learning models to examine images of cells and identify nuclei, regardless of the experimental setup—and without human intervention. Creators of the top algorithms will split $170,000 in cash and prizes, including an NVIDIA® DGX Station™,

Using Data Science for Social Good

In this contributed article, Dr. Ken Sanford, the US lead Analytics Architect for Dataiku, discusses how some data scientists share a deep concern for social welfare and hope to use their discoveries to promote the betterment of our world. From advancements in healthcare technology to major activist efforts, the relationship between social good and data science can be found all around us, often in ways we may not expect.

Top Skills Data Scientists Need To Learn in 2018

Data scientists are in high demand, taking the number 1 spot in Glassdoor’s Best Jobs in America list in 2016 and 2017, with 4,84 position available and boasting a median base salary of $110,000. According to Jim Webber, Chief Scientist at Neo4j, the following is a short-list of the most essential tech skills for data scientists to adopt this year.