Our friends over at The Data Incubator just released a new series of data-driven ranking reports that showcase the quantitative methodologies the data science fellowship, hiring and training company uses to actively teach their fellows. The idea was to develop a more data-driven approach to what the company should be teaching in their data science corporate training and their free fellowship for masters and PhDs looking to enter data science careers in industry.
Argyle Data has expanded its core machine learning and AI application suite to engage with clients in enterprise areas including IoT security, financial services and online/mobile banking.
At The Data Incubator we pride ourselves on having the latest data science curriculum. Much of our course material is based on feedback from corporate and government partners about the technologies they are looking to learn. This report is the second in a series analyzing data science related topics. We thought it would be useful to the data science community to rank and analyze a variety of topics related to the profession in a simple, easy to digest cheat sheet, ranking, or report. It’s our way of practicing what we teach.
At The Data Incubator we pride ourselves on having the latest data science curriculum. Much of our curriculum is based on feedback from corporate and government partners about the technologies they are looking to learn. However, we wanted to develop a more data-driven approach to what we should be teaching in our data science corporate […]
In this special guest feature, Bradley Merrill Thompson, a partner in the Washington DC office of law firm Epstein Becker & Green and Chairman of the Board of the firm’s consulting affiliate EBG Advisors, starts a compelling and timely conversation on the FDA’s approach to regulating machine learning.
In this contributed, Amir Noghani, SEO specialist and the general manager at Green Web Marketing, takes a look at Google’s RankBrain, its machine learning, artificial intelligence system, and how it is forcing curators of website content to do what they should have been doing all along, creating quality content for their websites.
The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the sixth and final in a series of articles providing content extracted from the guide. The topic for this segment is deep learning and AI success stories.
Cloudera to Accelerate Data Science and Machine Learning for the Enterprise with New Data Science Workbench
Cloudera, the provider of a leading platform for machine learning and advanced analytics built on the latest open source technologies, today unveiled Cloudera Data Science Workbench, a new self-service tool for data science on Cloudera Enterprise which is currently in beta.
In this special guest feature, Elliott Yama, Chief Data Analyst at Apttus discusses the ways that machine learning is impacting the B2B customer experience – where the evolution mirrors the initial advancement of B2C E-Commerce.
In this special guest feature, Tilak Kasturi, CEO and Founder of Predii observes that as data acquisition and cloud infrastructure investments mature, AI becomes an integral component of industrial enterprise DNA to enable transformational business outcomes.