Many people have started showing interest in Data science and analytics, it is expected that the number of professional data scientist will increase in the next couple of years. Factual Analytics has compiled a list of 3 resources to help improve your data analytic skills. Kaggle Kaggle is unarguably the home of data science. It is the world’s largest community of data scientists and machine learning experts. Kaggle has thousands of public datasets for training and learning purpose.
Research in Machine Learning and in Natural Language Processing (NLP) is moving so fast these days, it is hard to keep up. This is an issue for people in the field, but it is an even bigger obstacle for people wanting to get into NLP and those seeking to make the leap from tutorials to reproducing papers and conducting their own research. Without expert guidance and prior knowledge, it can be a painstaking process to identify the most common datasets and the current state-of-the-art for your task of interest.
Hal Varian, Google’s chief economist shared the following when interviewed by The McKinsey Quarterly: “I keep saying the sexy job in the next ten years will be statisticians. People think I’m joking, but who would’ve guessed that computer engineers would’ve been the sexy job of the 1990s? The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades, not only at the professional level but even at the educational level for elementary school kids, for high school kids, for college kids.