Machine learning (AKA AI) seems bizarre and complicated. It's the tech behind image and speech recognition, recommendation systems, and all kinds of tasks that computers used to be really bad at but are now really good at. It involves teaching a computer to teach itself. And you can learn to do it in well under a year, according to data scientist Bargava. You'll need to put in a solid 10-20 hours a week, but you will learn a lot along the way.
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Python is one of the best programming languages to learn. As you get started, this one-page reference sheet of variables, methods and formatting options could come in handy.
While computers are poor at creativity, they are adept at crunching through vast numbers of solutions to modern problems where there are numerous complex variables at play. Take the question of finding the best delivery plan for a distribution company -- where best to begin? How many vehicles? Which stretches of road need to be avoided at which times? If you want to get close to a sensible answer, you need to ask a computer.
C is one of many programming languages that are useful to learn as a beginner. MagPi, the official Raspberry Pi magazine, put together a book that helpfully walks you through the basics.
If you've been meaning to learn how to code for some time but don't know where to start, this week's Humble Book Bundle can help you out. It features a wide range of e-books that don't just teach you how to code in a variety of languages, it also teaches you to think like a programmer. Here's more information on the bundle.
Let's say you're new to web design, but you're intent on learning how to build a site from start to finish. It can be a lot of info to take in, but this interactive tool can at least help get you started with the design.
Few of us enjoy making mistakes, but mistakes are inevitable when you're trying something new or challenging -- and failure is how we get better. Coder Christina Cacioppo writes about teaching students programming and how the most successful beginners were the ones who made more mistakes.