When you think of technical education about machine learning, Facebook might not be the company that pops into your head. However, the company uses machine learning, and they've rolled out a six-part video series that they say "shares best real-world practices and provides practical tips about how to apply machine-learning capabilities to real-world problems." None of the videos are longer than 10 minutes, so you'll invest less than an hour. The videos focus less on a specific product and more on the architecture and implementation strategies. Quite a bit of these videos cover things we think are pretty obvious engineering axioms applied to machine learning.
In the world of Facebook, Chief Global Security Officer Nick Lovrien says, "A day is a week, a week is a month, a month is a year." As a company, Facebook owns Instagram, Oculus, WhatsApp, and hundreds others, buying around 160 businesses just last year. The company's goal is to connect every person on the planet through Facebook-owned tech within 100 years. To get there, they're using AI. Here's a look at how Facebook is making use of artificial intelligence for projects today -- and tomorrow.
Many companies are just starting their machine learning journeys and 37% of organizations have implemented artificial intelligence according to a recent Gartner survey. If you've opened the door to machine learning, you might want to review 10 questions before starting a machine learning proof of concept or the complete guide to AI, machine learning, and deep learning. Machine learning is evolving, with new commercial breakthroughs, scientific advancements, framework improvements, and best practices frequently reported. We have a lot to learn from organizations that have large-scale machine learning programs and view artificial intelligence as core to their business. At the O'Reilly Artificial Intelligence Conference in New York last month I saw several common trends between Facebook's and Twitter's machine learning programs.
Machine learning, a subset of artificial intelligence (AI) that is sometimes called cognitive computing, refers to the technology that allows machines to "learn" and "decide" like humans. The process is a complex one, centering on the development of programs that can grow with new data--all sans human intervention. A powerful new wave of technology, machine learning has the potential to change how enterprise companies do business. Machine learning is not just science fiction anymore. While machine learning is still in the earliest stages of development and has not yet reached full-scale adoption, some influential companies have already started experimenting with these technologies and have released open-sourced versions of their software.