Our friends at Data Science Central have a large set of Machine Learning/Data Science Resources and Articles. Take a look Read More
Machine learning is a subfield of computer science and artificial intelligence that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions (wikipedia).
If you are thinking of doing or becoming a Data Scientist or Advanced Analytics professional, you will absolutely need to master Machine Learning. These 100 Most Popular Talks on Machine Learning topics are a great resource to learn. Review List
Watch 2 Lectures on building Recommender Systems using Machine Learning given by the Director of Research/Engineering at Netflix at Carnegie Mellon University this Summer.
Its 2 parts at 2 hours each, touches on what is practical and important, and worthwhile if you have an interest in personalization and recommender algorithms. Watch Lectures
Happy Monday to All. Here are a set of compelling articles, videos, webinars on Data Science & Big Data Analytics. Also see the Top 5 jobs in Data Science that we are working vigorously to fill at our clients. Read More
Hakka Labs has a very compelling video of Dr Chris Wiggin’s, Chief Data Scientist at the NYTimes and Columbia University Academic. He will talk about using machine learning and large data in both academia and in business.
He shares some ways re-framing domain questions as machine learning tasks has opened up new avenues for understanding both in academic research and in real-world applications. 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
In case you missed it. Here is short list of the most popular content on the DataScienceReport.com last week. Read More