Archive for the ‘Uncategorized’ Category

I’m pleased to report that I’ve recently been appointed to Editor-in-Chief for leading industry publication The news and analysis outlet specializes in big data, data science, machine learning, AI and deep learning technologies. My responsibilities have expanded over my previous role as Managing Editor to include: industry news analysis, feature article writing, and oversight of our various channels and regular columns.


Posted: November 1, 2019 in Clients, Projects, Uncategorized
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I recently got a new gig as Industry Analyst for Amazon’s new business unit. I will be advising on AI chatbot technology and writing periodic articles assessing how bots are quickly evolving across a broad variety of industries. My first piece is now available as of October 30, 2019, “Should a Chatbot Reveal Itself?” I’m looking forward to following this dynamic and growing industry segment.

I’m really excited to be teaching again! Starting April 2 and 4, 2019, I’m teaching two sections of the popular “Introduction to Data Science” course for UCLA Extension. In a previous life I taught at UNEX for 15 years, but after getting too busy as a data scientist, I had to walk away from teaching for a while. I’m happy to be returning to education now. I feel the time is right to get future data scientists up to speed to fill in the widening skills gap due to the accelerating rise in demand for data science professionals. Glad to be giving back!

[UPDATE: I am now teaching regularly for UCLA Extension, 2 classes per quarter. Due to COVID-19, all classes are virtual, but enrollment is great! My course GitHub repo is found HERE.]

Open Data Science

Posted: August 30, 2018 in Clients, News, Projects, Uncategorized

I would like to announce that I’m now working with a new up-and-comer in the industry – Open Data Science, most commonly known for their Open Data Science Conferences (ODSC) West, India, Europe, and East. More recently, the company is providing a wealth of technical resources such as articles dealing with data science tools, modeling (machine learning), AI, deep learning, data viz, data transformation, academic research, and so much more. I will be making regular contributions as a data scientist. My first contribution is “Tips for Linear Regression Diagnostics.”

[UPDATE 11/23/2020] : since my original announcement, I’ve made 80+ contributions for the ODSC blog. I just received excellent feedback from the company that my pieces were the most popular! You can read all my article HERE.

I’d like to announce my new educational resource – a complete video series of instructional screencasts designed to get you up to speed with data science and machine learning using the R statistical environment. The materials are offered over on O’Reilly Safari Books Online as “Data Science with R Master Class.”

This video series will show you how to apply R to your data science projects. You will learn to perform the data science process including data acquisition, data transformation, exploratory data analysis, data visualization, and statistical learning algorithm usage. This course will provide you with the tools and techniques required to excel with statistical learning methods in tackling important data problem domains. The R statistical environment was chosen for use in this course because many data scientists use it exclusively for their project work. All of the code examples for the course are written in R. In addition, many popular R packages and data sets will be used. The R code for all modules of the class can be found in this GitHub repo.

I’ve patterned the materials to be consumed in parallel with my book “Data Science and Machine Learning: An Introduction to Statistical Learning Methods with R.”

I was very pleased to attend the GPU Technology Conference 2017 as the guest of host company NVIDIA on May 8-11 in Silicon Valley. This was my second GTC as I became acquainted with the GPU (graphics processing unit) universe last year while attending the conference. You can read my 2016 field report HERE. I was so impressed with NVIDIA last year, I assumed it was just an outlier and that this year the company would come back down to earth. I was wrong. I was equally impressed with what I saw at this year’s installment terms of how GPUs and NVIDIA are transforming the field of AI and deep learning. This Field Report chronicles what I saw and I’m delighted to share my experience!

I was pleased to be invited as an advisor for a full-day UCLA Career Development Conference for Graduate Students and Postdocs on May 4, 2017 on the beautiful UCLA campus. My topic of expertise: Data Science. It appears that many newly graduated Masters and Ph.D. students, as well as post doctoral researchers are interested in making the transition to the field of data science. During the round table discussions, I had the opportunity to meet with and advise many bright young minds, all of whom would make excellent data scientists. They came from a diverse set of academic disciplines including statistics, neurosciences, engineering, bio statistics, psychology just to name a few. I truly enjoy these opportunities to share my experiences in the field which I believe is the best profession around!

mapr-logo-new-2014_featureI’m pleased to be invited to speak at an upcoming tech event here in Los Angeles: Big Data Everywhere sponsored by MapR. Big Data Everywhere is a one-day conference focused on big data technologies that brings together users and developers to share their experience via technical sessions and user success stories. I will be presenting a session on “IoT Analytics.”


The event is on Dec. 8, 2016 from 8am to 3:30pm in Santa Monica (Silicon Beach). Tickets are available HERE.

I will also be presenting the night before for MapR’s “An Evening of Digital Transformation” along with SVP Data Applications Jack Norris. This event takes place on Dec. 7 from 4-7pm in Newport Beach. Register HERE.

insidebigdata_guide_healthcare_lifesciences_dell_emc_featureI’m excited to announce the availability of a new technology guide that I was contracted to research, develop and write – “insideBIGDATA Guide to Healthcare & Life Sciences” sponsored by Dell EMC.

The healthcare and life sciences industries historically have generated vast amounts of data. These large volumes of data hold the promise of supporting a wide range of medical and healthcare tasks, including clinical analytics and decision  support, patient profiling, disease surveillance, regulatory and compliance requirements, scientific research, and many  others. Data in healthcare and life sciences is expected to grow exponentially in the coming years and will be beyond the  capability of the traditional methods of data management and data analytics. This new guide details this upward trajectory for enterprise thought leaders.

You can download a copy of the guide HERE.

AI World Conference Moderator

Posted: October 6, 2016 in Uncategorized

Aai_world1s Managing Editor for, I’ve been invited to moderate a panel for AI World Conference & Expo in San Francisco, November 7-9, 2016. The topic of the panel is “High Performance Computing for the AI Ecosystem,” and includes several industry luminaries from high-profile companies like NVIDIA, Baidu Research, and Facebook. I really enjoy attending shows like this one, at the bleeding-edge of technology innovation. I always learn a lot and it serves to help direct my own research and consulting work.


AI World is the nation’s largest AI business conference with more than 90 speakers (including 75+ CxO’s) and 40+ sponsors and exhibitors to help attendees learn how to successfully harness intelligent technologies to build competitive advantage, drive new business opportunities and accelerate innovation efforts.