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Coursera Expands Coursera for Business Features, Launches AI-powered Skills Benchmarking Tool

Coursera, an online learning leader, announced the launch of Skills Benchmarking, a powerful new Coursera for Business tool that enables organizations to measure how their talent stacks up against others in their industry as well as identify top performing individuals in a given competency area.

Looker Enhances Data Science Capability with Integration for Google Cloud BigQuery ML

Looker, a leading data platform company, announced an integration with Google Cloud BigQuery ML (BQML) that reduces the time-to-value of data science workflows and allows business users to operationalize insights with interactive predictive metrics.

Big Data Day LA 2018

Get ready for the local big data event of the year! The 2018 edition of Big Data Day LA is taking place on Saturday, August 11, 2018 at the University of Southern California. This full-day conference is a great way to immerse yourself in everything data with sessions tracks on diverse topics: Data, AI/ML/Data Science, Emerging Tech, Infrastructure and Security, and Visualizations/UI/Use Cases.

Data Science at Microsoft – Interviews with Practitioners

In this technical brief I wanted to pass along some great resources in support how data scientists approach their profession and illustrate the kind of background a typical data scientist might have to become successful. insideBIGDATA previously featured four compelling podcast interviews with Microsoft data scientists.

The insideBIGDATA IMPACT 50 List for Q3 2018

The team here at insideBIGDATA is deeply entrenched in the big data ecosystem of companies from around the globe. We’re in close contact with a great many of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

insideBIGDATA “Ask a Data Scientist” Series

Welcome to the series of articles sponsored by Intel – “Ask a Data Scientist” from insideBIGDATA’s popular Data Science 101 channel. These articles constitute many of our site’s most popular resources for newbie data scientists. The 12 articles listed below were from reader submitted questions of varying levels of technical detail and answered by a practicing data scientist – sometimes by me and other times by an Intel data scientist.

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 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 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.