“I keep saying that the sexy job in the next 10 years will be statisticians, and I’m not kidding”. Hal Varian, Chief Economist at Google and emeritus professor at… Read More »Who are you, Data Scientist? Answer with a survey
Original post is published at DataScience+ Recently, I become interested to grasp the data from webpages, such as Wikipedia, and to visualize it with R.… Read More »Map the Life Expectancy in United States with data from Wikipedia with R
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including… Read More »Book: Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (MIT Press)
Originally posted on Analytic Bridge The big data blast has given rise to a host of information technology software and tools and abilities that enable companies… Read More »Hadoop Security Issues and Best Practices
As a new sub-discipline of Data Science, I notice that SYSTEMS Analytics is starting to get some traction! There are a couple of Analytics graduate… Read More »Introducing SYSTEMS Analytics
Summary: In this Lesson 3 we continue to provide a complete foundation and broad understanding of the technical issues surrounding an IoT or streaming system… Read More »IoT 101 – Lesson 3: Everything You Need to Know to Start Your IoT Project
Medicine makes progress as a field through large-scale study and experimentation, much of which involves retrospective work with data or research into specific medical cases.… Read More »Data Science Is Revolutionizing Medicine – But Is It Violating HIPAA?
Summary: We searched the web to find all of the most common myths and misconceptions about Big Data. There were a lot more than we… Read More »Debunking the 68 Most Common Myths About Big Data – Part 1
Choosing features to improve a performance of a particular algorithm is a difficult question. Currently here is PCA, which is difficult to understand (although it… Read More »Improving performance of random forests for a particular value of outcome by adding chosen features
Using the Genalg Package in R to optimize Legal Fees. This is a Lesson from our Data Science for Lawyers Workshops (Moderately Advanced). We’d appreciate any… Read More »Using Genetic Algorithms to Optimize Legal Costs
