I was pleased to accept an invitation from Melange Live CEO Tom Keefer to exhibit at his 1st annual event “where fashion meets technology.” The two-day conference was held on Sept. 16-17 at The New Mart in the heart of LA’s fashion district. The show featured the latest and greatest innovators in this new and upcoming space. I had a blast at my booth (see picture) which was front/center and met with all sorts of interesting people including a hot new startup accelerator in the Downtown LA area: Grid110.org. As a data scientist I was encouraged with all the new technologies coming out, most of which depend on using data for greater insights.
My long affiliation with LA’s preeminent fashion mart – The New Mart, has been a fruitful one. This collection of over 70 high-end fashion showrooms is managed by a forward-thinking team that allowed me to engage methods of statistical learning to increase the reach of their many clothing lines through use of social media data sources. I built some cool technology to yield a weekly “Fashion top 10” that serves to drive The New Mart’s social media effort. Using sentiment analysis coupled with data sources like Twitter, Facebook, Instagram and fashion blogs, spreading brand awareness is approached in a strategic and focused manner.
I’d like to announce the availability of a new technology guide that I was contracted to research, develop and write — “insideBIGDATA Guide to Retail” sponsored by Dell and Intel. This guide is directed toward line of business leaders in conjunction with enterprise technologists with a focus on the above opportunities for retailers and how Dell can help them get started. The guide also will serve as a resource for retailers that are farther along the big data path and have more advanced technology requirements.
I was excited about writing this guide since I spend a lot of my time as a practicing data scientist in the fashion industry where I build machine learning solutions to enhance brand awareness.
You can download a copy of the guide HERE.
I’m very proud (and relieved) to announce that my year-long+ book project is finally done! “Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R” will be available later this year from Technics Publications. The book provides an introduction to the entire data science process, highlighting the ways that machine learning can be used to solve business problems. Both supervised and unsupervised statistical learning techniques are included. The R statistical programming language is used throughout. Here is the table of contents:
Chapter 1: Machine Learning Overview
Chapter 2: Data Access
Chapter 3: Data Munging
Chapter 4: Exploratory Data Analysis
Chapter 5: Regression
Chapter 6: Classification
Chapter 7: Evaluating Model Performance
Chapter 8: Unsupervised Learning
The book is perfect for newbies just entering the data science field who wish to quickly get up to speed with the technology. I plan to use the book for the introductory courses I teach for corporations and universities. You can pre-order the book on Amazon HERE.
I’m pleased to announce that I was contracted to research, develop and write a new technology guide “insideBIGDATA Guide to Scientific Research” sponsored by Dell and Intel. The goal for this Guide is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.
I was particularly excited about writing this guide since, in a previous life, I was a researcher in the data analysis effort for a large-scale astrophysics project.
You can download a copy of the guide HERE.
I am pleased to report that I will be attending the upcoming Hadoop Summit 2015 in San Jose on June 9-11. I’ll be the guest of Hortonworks (host of the show and one of the leading Hadoop distributions) and will be covering the conference for insideBIGDATA. Check out insideBIGDATA’s new Hadoop 101 learning channel where I shall publish many of the new presentations I find at the Hadoop Summit.
This week I started a boot camp style corporate training gig over at Southern California Edison in Irwindale. The title of the 7 week course is “Introduction to R Programming,” although I’m teaching it like an intro to data science class. The contract was arranged through UC Irvine as part of their popular data science certificate program.
The SCE group attending the class is from a broad spectrum of SCE departments including IT, business intelligence, customer analytics, power supply, and business analysis. The participants see very capable and are anxious to move into the data science realm. I’m quite pleased to take some time off my busy project work schedule for a serious teaching assignment like this. Very rewarding!