Whether you’re entirely new to the field of big data, or looking to expand your machine learning knowledge; whether you have 3 hours or 3 minutes; whether you want you want to know more about the technology, or the high-level applications- this list is a sample of the best Youtube
TOP DATACONOMY ARTICLES 10 Predictive Analytics Influencers You Need to Know “Predictive analytics is the sweet spot where machine learning meets the enterprise. Analytics & predictive algorithms fused together mean we can now gains insight into how future patterns and trends may develop. These 10 influencers provide a fascinating and
Pande Lab at Stanford University in collaboration with Google released a paper earlier this week that focuses on how neural networks and deep learning technology could be crucial in improving the accuracy of determining which chemical compounds would be effective drug treatments for a variety of diseases. A Google Research
Google and Stanford have combined the best of neural network models from two independent researches to create systems that can accurately describe images. Automatically describing the content of an image is a fundamental problem in AI that connects computer vision and natural language processing. Google in a recent paper presented
The field of data science has been overcome by buzzwords over the past few years. Such words often start as potentially powerful and revolutionary ideas, but through overuse and miscomprehension lose their potency. One of the terms within the field of data science that is adhering to this trajectory is
Timeful, the “intelligent time manager” app, has appointed LinkedIn’s former Senior Manager of Data Science, Gloria Lau, to fill the newly formed position of Vice President of Data. “Making time for the things that actually matter in life is something we all have trouble with,” notes Lau, reports Business Wire.
The explosion of hype around the term “big data” ushered in a rabid desire in companies big and small to get their hands on employees with a data science skill set. For evidence, you need look no further than Indeed’s graph of the number of big data-related job postings: If you
IT and business consulting giant, Infosys, has conceived a strategic alliance with the Institute for Computational & Mathematical Engineering (ICME) at Stanford University. Inherently the Institute and the MNC will work to develop a curriculum in Data Science and Analytics, laying emphasis on real-world problems while carrying out joint research using Data
Machine learning- to put it mildly- is an incredibly broad and varied field, with multitudes of applications. Thus, writing a list entitled “10 Machine Learning Experts You Need to Know” proves challenging for a number of reasons. Firstly, I’ve restricted my ten picks to those currently working in the field-
You’re an extremely talented engineering high school senior, and the future looks bright. You’re well on track to obtaining the sexiest profession in the world, and a job in Silicon Valley at one of the world’s most well-renowned companies is in your reach, perhaps with a 6-figure starting salary attached.