Learning Machine Learning - Part 1 and 2
Part 1: https://www.livecoding.tv/lem93/videos/3VPmJ-learning-machine-learning-rl-mdp-beginner Part 2: https://www.livecoding.tv/lem93/videos/WoEgr-learning-machine-learning-rl-mdp-beginner-2 #machinelearning #datah #bigdata
A Comparative Roundup: Artificial Intelligence vs. Machine Learning vs. Deep Learning
A 1969 McKinsey article claimed that computers were so dumb that they were not capable of making any decisions. In fact they said, it was human intelligence that drives the dumb machine. Alas, this claim has become a bit of a “joke” over the years, as the modern computers are gradually replacing skilled practitioners in fields across many industries such as architecture, medicine, geology, and education. Artificial Intelligence, Machine Learning, Data Science, and Deep Learni
Want Big Data Innovation? Rethink Your 'Need' for a Chief Data Officer.
The ability to quickly gather the right data from the right sources, to make the best business decision possible, is crucial. Yet, the common perception that you need a chief data officer (CDO) to make that decision a reality is not always true. Related: 'Big Data' Is No Longer Enough: It's Now All About 'Fast Data' While the role of CDO only recently emerged, it is steadily growing, with Gartner predicting that 25 percent of organizations will have a CDO by 2017. However, wh
Building Your Big Data Infrastructure: 4 Key Components Every Business Needs To Consider
Big data can bring huge benefits to businesses of all sizes. However, as with any business project, proper preparation and planning is essential, especially when it comes to infrastructure. Until recently it was hard for companies to get into big data without making heavy infrastructure investments (expensive data warehouses, software, analytics staff, etc.). But times have changed. Cloud computing in particular has opened up a lot of options for using big data, as it means b
5 Steps to Manage Risk in a Big Data Environment
5 Steps to Manage Risk in a Big Data Environment Not much of consequence happens without risk. As more organizations realize the value of Hadoop while they look to adopt big data into their technology portfolio, they also need to consider the inherent potential for negative consequences. Big data has opened up a whole new world of risk, but that’s not stopping — or even slowing — many businesses looking to cash in on the rewards. To balance this process, technology and busine
Africa: Frost & Sullivan Applauds Hindsait for Pioneering Healthcare-Centric Artificial Intellig
Mountain View, California — Hindsait's AI platform identifies and extracts actionable data from information trapped in clinical notes and other electronic records for improved patient outcomes at lower costs Based on its recent analysis of the market for artificial intelligence (AI) systems for the healthcare industry, Frost & Sullivan recognizes Hindsait, Inc. with the 2016 Global Frost & Sullivan Award for Visionary Innovation Leadership. Hindsait has demonstrated a strong
What’s Next for Artificial Intelligence
HOW DO YOU TEACH A MACHINE? Yann LeCun, director of artificial-intelligence research at Facebook,on a curriculum for software The traditional definition of artificial intelligence is the ability of machines to execute tasks and solve problems in ways normally attributed to humans. Some tasks that we consider simple—recognizing an object in a photo, driving a car—are incredibly complex for AI. Machines can surpass us when it comes to things like playing chess, but those machin
