As our society transforms into a data-driven one, the role of the Data Scientist is becoming more and more important. If you want to be on the leading edge of what is sure to become a major profession in the not-too-distant future, this book can show you how. Read More
Sarita Digumarti, CEO of Jigsaw Acadamy, and online training institute for analytics, provides guidance to candidates in their early stage interviews for an Analytics position. Read More…
Bringing back to the fore one of the most popular posts! With R being one of the most popular programming languages for analytics, we wanted to provide additional free resources to those who are interested in learning more about it. Here are 2 of the most popular introductory videos to learn R. Read More
Here is a one-hour talk by one of the authors on Forecasting time series using R. Additionally, There are links to many exercises. Watch Video / Read More
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In case you missed it the first time, I’m pulling this popular post out again, while we produce the next set of articles tonight.
On more than one occasion I’ve asked a data scientist, analyst, or programmer what their favorite coding language is and the response was Python. Its often not a normal response though, it’s like they’ve found their higher power. I mean they LOVE it man!
So since it’s an incredibly useful and flexible tool, I wanted to address it here on the Data Science Report. Read More
In this talk, you will learn about the architecture and setup that the Huffington Post built to power their realtime websocket based commenting framework. Leveraging RabbitMQ, SockJS, Cowboy and Erlang, they were able to build and design a highly scalable, customizable solution to power realtime comments.
You will learn about some of the pitfalls they hit, as well as some of the improvements they would like to make to take their platform to the next level. Watch Video
How do we detect fraud more quickly? Why are we losing customers? Which is the next best product to offer? The answers to these questions and more are in reach. But for financial services companies they are hiding in a mountain of data. Analytics can help. Watch Video
This talk was recorded at the New York Open Statistical Programming meetup at Knewton last week. In this talk, John Myles White, Princeton Ph.D, Research Scientist at Facebook, surveys some basic methods for analyzing data in a streaming manner.
He focuses on using stochastic gradient descent (SGD) to fit models to data sets that arrive in small chunks. He also describes how these methods allow ML systems to adapt to user data in real-time. Watch Video…