PAPIs (which is short for "Predictive APIs") is the premier forum for the presentation of new machine learning APIs, techniques, architectures, and tools to build predictive applications. It brings together practitioners from industry, government and academia to present new developments and identify new needs and trends. The upcoming conference, PAPIs '15, will feature talks … [Read more...] about PAPIs ’15 – 2nd International Conference on Predictive APIs and Apps
data science
The Missing “D” in Data Science: A Case for Mr. Holmes
Imagine it's D Day today: A major decision needs to be taken for your company, based on Data Science. Who are you in this story? You are the celebrated hero of todays world, not the Superhero clad in the dark cloak with superpowers even nursery kids are no longer in awe of but the new superhero with a growing armor of super-powers like Cloud, Big Data, Python, IOT, (the list … [Read more...] about The Missing “D” in Data Science: A Case for Mr. Holmes
Data Science – tips for success
Data science is a hot topic among business and IT leaders and fulfilling your company's dreams of capitalising on data science can be a daunting task. Our upcoming thought leadership event will feature Dr Orlando Machado, Head of Customer Science for MoneySuperMarket, discussing data science tips for success and insights based on his own experiences at the UK's largest price … [Read more...] about Data Science – tips for success
Statistics Denial, Myth #1: Traditional Techniques Straw Man
"You cannot reason people out of a position that they did not reason themselves into." Ben Goldacre, Bad Science "It's all in the algorithm" Dr. Rodney Mckay, Stargate Universe Myth #1: Statistics consists of only certain 'traditional' techniques or those from STAT 201 The current buzz about big data and data science is generating interest and a sense of urgency. Â However, … [Read more...] about Statistics Denial, Myth #1: Traditional Techniques Straw Man
The 7 Problems Data Scientists Don’t Want to Solve
Boards and CEOs of leading companies are scrambling to to get data on their strategic agenda and to enhance their data and analytics capabilities so they can grow, innovate compete. Theyve identified, data and analytics done right can create deep customer intimacy, an efficient supply chain, automation of operations, new revenue lines and a strategic moat (or barrier for their … [Read more...] about The 7 Problems Data Scientists Don’t Want to Solve
