Since joining RavenPack in 2008, Peter Hafez, Chief Data Scientist, has been a pioneer in the field of applied news analytics, bringing alternative data insights to the world’s top banks and hedge funds. Here he answers our questions on the prospects for the alt data market and RavenPack’s latest innovations. What do you think are […]
In the following article, William Schmarzo discusses the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.
OpenAI developed Random Network Distillation (RND), a prediction-based method for encouraging reinforcement learning agents to explore their environments through curiosity, which for the first time exceeds average human performance on Montezuma’s Revenge. Learn more:
4 Panalist from the TiEcon 2017 Conference discuss 7 use cases of AI & machine learning in marketing. Abhishek Pani – Sr. Director, Data Science & New Products, Adobe Harpinder Singh – CEO & Co-Founder, Slice Jessica Cross – Head of Customer Lifecycle, AdRoll John Bara – President & Chief Marketing Officer, Mintigo Moderated by: Nadim […]
From PyData Amsterdam, April 2017. Giovanni Lanzani gives a talk on the Data Science Process and where things can go wrong.
Kaggle is a community of almost 450K data scientists who have built nearly 2 million machine learning models to participate in its competitions. Data scientists come to Kaggle to learn, collaborate and develop the state of the art in machine learning. This talk will cover some of the lessons on winning techniques we have learned from the Kaggle community. Watch Video
Apache Spark’s popularity as part of big data analytics solutions is exploding. Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley. Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS). However, Spark promises performance up to 100 times faster than Hadoop MapReduce for certain applications…and that’s why you should care!
Spark’s in-memory cluster computing is very well suited to machine learning algorithms. These Videos will give you a nice introduction to Spark, how it’s being used in business and why you should care…Watch Spark Videos…
Read about 10 Big Data Case Studies | by NATHAN GOLIA, CHRIS MCMAHON
These 10 insurance companies developed cross-enterprise big data strategies, hired the right data scientists and staff members, and delivered impressive results. READ MORE
What’s Hot in Data Science? Well, there has been a lot of talk recently about DEEP-LEARNING, a subset of Machine Learning, which allows machines to classify what they perceive.
Adam Gibson (Data Scientist and Co-Founder, Blix.io) presents his open-source, distributed deep-learning framework, Deeplearning4j. He demos sentiment analysis and facial recognition tools. If you are using or learning Machine Learning then you should watch this video. Watch Video
Here are 2 researched articles by Randy Bartlett on the value of the Chief Analytics Officer (CAO) role.
The first discusses the benefits of a CAO: “3 Good Reasons You Need a CAO”. He then invested about 50 hours interviewing people for a unique case study illustrating what happens when a corporation loses its CAO: “The Dissolution of an Analytics Team” Here they are…Read More