I presented a talk last week introducing Data Science and associated topics to some enthusiasts. Here’s a slide deck I created quickly with markdown using Swipe - a start-up building HTML5 presentation tools. The contents include: Data scientist skills Data science: enablers and barriers Big data analytics Data science lifecycle Use cases Tools and technology Project approach Machine learning Skills and roles Learning resources Here are the slides:
Machine Learningis a big part of big data and data science. A subset of artificial intelligence - a branch of science notorious for requiring advanced knowledge of mathematics. In practice though, most data scientists don’t try to build a Chappie and there are simpler, practical ways to get started with machine learning. Machine learning in practice involves predictions based on data. Notable examples include Amazon’s product recommendations with the “customers also bought” scroll-list, or Gmail’s priority inbox or any email spam-filter feature.
