Key Takeaways from Strata + Hadoop World 2017 San Jose

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commentsLast week the Data Science community had a major event – Strata + Hadoop World 2017 at San Jose. The over-arching theme across all talks and the expo was that the focus is increasingly shifting from storing and processing Big Data in an efficient way, to applying traditional and new machine learning techniques to drive higher value from the data at hand. Even as the limelight shifts from Big Data to Machine Learning (and more advanced aspects like Deep Learning), from an implementation perspective, distributed and scalable processing stays dominant as most of the popular ML models have an insatiable appetite for input data and compute power.Here are the key takeaways from Day 1 (Wednesday, March 15, 2017):Mike Olson, CSO and Chairman, Cloudera talked about “The machine-learning renaissance“. Most of the fundamental techniques for ML and AI were invented in 1960s and 1970s. Back then, it created a lot of hype about the potential of this field. However, all those hopes came c…