Machine Learning is at the core of data science and we see it’s applications all over now (i.e. recommender engines, etc.). As Pedro Domingos’s Professor of Computer Science U. Washington writes in the piece, “In reality, the main purpose of machine learning is to predict the future.” It’s important to be aware of the MYTHs associated with Machine Learning. Read More
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
Watch a Video Lecture from the NIPS Conference in December on Probabilistic Machine Learning from one of the greats, Zoubin Ghahramani, Professor of Information Engineering at the University of Cambridge, where he leads the Machine Learning Group. Read More
Deep Learning is type of Machine learning that has become very popular with the reduced cost of processing power.
Every Data Scientist who is dealing in massive data sets that update regularly should learn about it. Here are 2 great videos on Deep Learning from the GTC Conference in 2015 from top Data Scientists in the world Andrew Ng and Jeff Dean. Read More
Our friends at Data Science Central have a large set of Machine Learning/Data Science Resources and Articles. Take a look Read More
Learn about machine learning techniques being applied to thriving alternative consumer lending businesses . 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