I’ve been contracted to research, develop and write a new technology guide “insideBIGDATA Guide to Predictive Analytics” sponsored by TIBCO. The technology guide will present an overview of using R and TIBCO Spotfire for data science projects that include predictive analytics elements. Watch for the guide in September 2014.
I’m very pleased to announce that I am now on the Board of Advisers for a new Los Angeles based start-up company: Focus Ventures, Inc. My responsibilities will be to advise the technical team on areas relating to data science and machine learning. The company’s product TRAINR by FocusMotion is a leading-edge offering in the wearables space. TRAINR provides the user with top trainer designed programs while tracking workouts, automatically. TRAINR is a digital personal trainer that’s available on multiple platforms and can work with nearly every existing fitness device.
FocusMotion is a complete solution that makes it easy to track and analyze physical movements with wearable devices. A new hardware and OS agnostic SDK unlocks new consumer insights and behaviors. The product performs all of the complex signal processing, algorithm, and device integration work so innovators can focus on making engaging applications. I am really looking forward to this new assignment!
My friend Gregory Piatetsky-Shapiro, founder of KDnuggets, recently reached out to me to come aboard as blogger for his news site. KDnuggets has been widely recognized as the leading newsletter on Data Mining and Knowledge Discovery, currently reaching over 100,000 unique monthly visitors. Last year, KDnuggets was voted the Top Big Data Tweeter by Big Data Republic. I’m happy for the opportunity to align myself with such a recognized leader in the data science news space.
I am pleased to report that I am participating in the upcoming Big Data Camp as co-organizer of the event taking place on Saturday, June 14, 2014 at the Direct TV campus in Los Angeles. The all-day FREE conference expects 400+ attendees. The event is touted as the unconference where early adopters of Big Data technologies, such as Hadoop, exchange ideas. Featuring 3 keynote addresses, 6 break-out sessions, and 3 tracks: Hadoop, NoSQL, and Data Science, the event should be quite a learning experience. I’m really looking forward to it.
I recently was recruited by Opera Solutions to be a contributor for their blog SignalCentral: The Hottest Spot for Big Data Science. I will be writing on a broad range of topics including big data, data science, and machine learning. Opera Solutions, LLC is a technology and analytics company mainly focused on capturing profit growth opportunities emerging from big data. The company has over 175 data scientists on staff. Here is my first post: Data Science and ICD-10 Team Up to Benefit Healthcare.
I recently was recruited to be a mentor in Data Science for top accelerator Launch Pad LA. In the heart of Silicon Beach, Launch Pad LA is a highly ranked start-up accelerator for exceptional entrepreneurs. They invest $25k – $100k, offer free office space one block from the Santa Monica beach, and provide access to a massive network of mentors, investors and advisers. I will be mentoring 4 portfolio companies on how to gain benefit from data science in yielding more value from their corporate data assets. I am very much looking forward to this new assignment.
UPDATE! 3/27/2014 – I had a blast meeting with four young companies at Launch Pad LA: Focus: TRAINR, Cojoin Inc., Monospace, and Parachute. I found all of the founders I met with to be very bright and each business promising. I was able to convey how data science and machine learning could be applied to all. These are companies to watch out for.
I’ve been contracted to research, develop and write a new technology guide “insideBIGDATA Guide to Machine Learning” sponsored by Revolution Analytics. The technology guide will present an overview of using R for data science projects that include machine learning elements. Watch for the guide in May 2014.
UPDATE! 5/13/2014 – My new machine learning guide was launched today. You can download it HERE. Enjoy!