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Showing posts from 2015
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2 December 2015 How to Become a Data Scientist I do not have a computer science or engineering form of academic background but i have an undiluted passion for working or playing around the computer. I studied Business Administration B.Sc but i dont see myself filing documents, overseeing business protocols or sort of office administration. I asked myself this questions am I looking for a career which can be applied to multiple industries and can lead to a vast array of interesting and unique projects, the one that wouldnt make my Business Admin B.sc irrelevant and then i got an answer "yes". Sooner i realised i need look no further than data science. Harvard Business Review dubbed data science as “the sexiest job of the 21st century”, data science is a field that drives innovation, feeds your creative spark, and has the ability to illuminate the world around us. These characteristics, plus the above-average compensation the job provides, are likely the m
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Big Data Machine Learning with H2O May 29, 2015 a years ago  SriSatish Ambati gave a talk at the Chicago Big Data meetup  about how to use  H 2 O  to do machine learning on big data. SriSatish is founder and CEO of a startup called  0xdata  (pronounced "hexadata"). 0xdata developed H 2 O, an open-source machine learning tool. ( Github .) H 2 O has a number of powerful machine learning algorithms that it can run. What makes H 2 O different from R and other programs is that H 2 O has really good performance and can handle huge amounts of data. It splits up the algorithm and data into little chunks and processes them in parallel over many machines in a cluster. Netflix is using H 2 O to do some of their machine learning . Netflix is one of the pioneers of big data machine learning, and I look forward to hear more about how they're using H 2 O. You can run H 2 O against data stored in the Hadoop Distributed File System (HDFS). You can also upload data direc