Emily Washington: ‘Businesses are increasingly evaluating ways to streamline their overall technology stack… to successfully leverage big data and analytics’. Tech trends in data analytics are seeing the industry soar. Discover more here.
Data Science 101: Handling Missing Data (Revisited)
May 31, 2018 by Leave a Comment
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.
Interview: John Hart, Professor of Computer Science at University of Illinois
May 1, 2018 by Leave a Comment
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.
Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms
April 14, 2018 by Leave a Comment
Stochastic Approximation algorithms are used to approximate solutions to fixed point equations that involve expectations of functions with respect to possibly unknown distributions. The most famous examples today are TD- and Q-learning algorithms. This three hour tutorial lecture series, courtesy of the Simon Institute for the Theory of Computing at UC Berkeley, consists of two video segments.
Importance of Using Data and Analysis in Higher Education
February 25, 2018 by Leave a Comment
Using the right data, in the right way, can help educational institutions and leaders keep up with ongoing challenges. Data analysis consolidates information to provide the big picture of trends and patterns for higher education leadership teams that can be used to evaluate and streamline processes, create efficiencies, and improve the overall student experience. The infographic below from our friends over at Maryville University highlights the importance of data and analysis in higher education.
Interview: Vivienne Sze, Associate Professor of Electrical Engineering and Computer Science at MIT
December 13, 2017 by Leave a Comment
I recently caught up with Vivienne Sze, Associate Professor of Electrical Engineering and Computer Science at MIT, to discuss the launch a new professional education course titled, “Designing Efficient Deep Learning Systems.” The two-day class will run March 28-29, 2018 at the Samsung Campus in Mountain View, CA and will explore all the latest breakthroughs related to efficient algorithms and hardware that optimize power, memory and data processing resources in deep learning systems.
deepsense.ai Popularizes Machine Learning at European Universities as Part of the Intel Nervana AI Academy
November 1, 2017 by Leave a Comment
deepsense.ai will train hundreds of European students in the upcoming three months as part of the Intel® Nervana™ AI Academy. Students will get the valuable opportunity to gain practical knowledge in two of the most cutting‑edge and fast developing areas of data science, machine learning and deep learning.
Book Review: Python Data Science Handbook
October 17, 2017 by 1 Comment
I recently had a need for a Python language resource to supplement a series of courses on Deep Learning I was evaluating that depended on this widely used language. As a long-time data science practitioner, my language of choice has been R, so I relished the opportunity to dig into Python to see first hand how the other side of the data science world did machine learning. The book I settled on was “Python Data Science Handbook: Essential Tools for Working with Data” by Jake VanderPlas.
Field Report: Deep Learning Specialization on Coursera
September 26, 2017 by Leave a Comment
This “Field Report” is a bit difference from all the other reports I’ve done for insideBIGDATA.com because it is more of a “virtual” report that chronicles my experiences going through the content of an exciting new learning resource designed to get budding AI technologists jump started into the field of Deep Learning. Renowned MOOC platform Coursera just launched a new Deep Learning Specialization series consisting of 5 courses.
NVIDIA to Train 100,000 Developers on Deep Learning in 2017
May 14, 2017 by Leave a Comment
[GPU Technology Conference Coverage] To meet surging demand for expertise in the field of AI, NVIDIA announced that it plans to train 100,000 developers this year — a tenfold increase over 2016 — through the NVIDIA Deep Learning Institute. Analyst firm IDC estimates that 80 percent of all applications will have an AI component by 2020. The NVIDIA Deep Learning Institute provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology.
