It is becoming increasingly common for organizations to collect very large amounts of data over time, and to…Continue
Added by Sharmistha Chatterjee on November 19, 2020 at 12:22am — No Comments
Meet two text mining experts in today’s interview, which explores some of the common issues faced by data scientists in text analytics. Prof. Dursun Delen and…Continue
Added by Rosaria Silipo on November 15, 2020 at 12:16am — No Comments
Summary: Some industries are a clear slam-dunk for AI/ML applications and some less so. The legal, regulatory, and compliance businesses (law firms, internal legal departments, and the contract review and regulatory compliance departments of heavily regulated industries) fall in this last category. This is a review of seven companies found by TopBots to be successful; pointing to opportunities others can follow.
Added by William Vorhies on November 4, 2020 at 10:00am — No Comments
Added by William Vorhies on October 24, 2020 at 11:30am — No Comments
Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…Continue
Added by Sharmistha Chatterjee on October 17, 2020 at 10:30pm — No Comments
Artificial intelligence is a relatively ubiquitous phenomenon at this point. And yet, for some reason, it remains shrouded in at least a little bit of mystery. But the truth is that over the past decade, or so, this novel technology has managed to establish itself as an integral part of, well, pretty much every industry on the face of Earth. Since it continues to help companies and businesses improve virtually every aspect of their operations, there is one incredibly exciting field that has…Continue
Added by Ryan Williamson on October 6, 2020 at 10:30pm — No Comments
Added by Diego Lopez Yse on September 19, 2020 at 1:30pm — No Comments
Even the layman would know that the manufacturing industry is an inherently complicated endeavor, owing to the many, many factors involved. It has been at the center of some intense change and a lot of this can be ascribed to technology. The evolution of technology over the past few decades has empowered the industry with countless tools and resources, allowing companies operating in the space to continue on the path to growth. Unfortunately, there is one technology that seems to be a tad…Continue
Added by Ryan Williamson on September 11, 2020 at 3:40am — No Comments
Summary: The annual Burtch Works salary survey with data through April shows that opportunities and salaries are still excellent for both new and experienced data scientists. They also offer some anecdotal observations about the impact of the first few months of COVID on our work and opportunities.Continue
Added by William Vorhies on September 1, 2020 at 8:00am — No Comments
AI for People and Business is an AI book and AI strategy framework. Here's the official book trailer where I explain important topics that are covered in the book, as well as the beneficial aspects of reading it and the importance of developing a strong AI strategy.
FREE CHAPTER DOWNLOAD -…Continue
Added by Alex Castrounis on August 27, 2020 at 7:20am — No Comments
Summary: Transfer Learning (TL) may be the most important aid to adoption of deep learning in the last several years. This new LEEP measure predicts the accuracy of the transfer and should make TL faster, cheaper, and better.
Added by William Vorhies on August 21, 2020 at 10:26am — No Comments
Summary: Less than 9%? What this study really shows and what we should take away from it.
Wow. Less than 9%! Can this be true? Well according to a large scale survey study conducted by the US Census Bureau it’s actually a…Continue
Added by William Vorhies on August 3, 2020 at 1:00pm — No Comments
Summary: An update and observations about China’s plan to become the world leader in AI.
Whether you get your news from Facebook or from the Wall Street Journal you can’t help having heard that China is out to displace the US as the world leader in AI. Variously you may have heard that…Continue
Added by William Vorhies on July 28, 2020 at 8:32am — No Comments
Summary: Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African Americans. Defining and correcting the bias presents difficult issues for data scientists that need to be carefully thought through before reaching conclusions.
Added by William Vorhies on June 29, 2020 at 11:31am — No Comments
This the second part of Reinforcement Learning (Q-learning). If you would like to understand the RL, Q-learning, and key terms please read Part 1.
In this part, we will implement a simple example of Q learning using the R programming language from scratch. It is expected from you to understand the basics of R programming and complete the reading of Part 1 of this article.
We are coding the algorithms using the R base package…Continue
Added by Nitin Agarwal on June 4, 2020 at 8:23pm — No Comments
Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers?
A very popular example being Deepmind whose AlphaGo program defeated the South Korean Go world champion in 2016. Other than this there are other AI agents developed with the intent of playing Atari games like…Continue
Added by Nitin Agarwal on June 4, 2020 at 7:51pm — No Comments
Summary: Explaining data science to a non-data scientist isn’t as easy as it sounds. You may know a lot about math, tools, techniques, data, and computer architecture but the question is how do you explain this briefly without getting buried in the detail. You might try this approach.
Summary: What is an AI Product Manager and how do you know when you need one.
The role of Product Manager (PM) can mean many things dependent on the specifics of the company, its markets, its channels, and the variety of its products. It’s almost impossible to put a single label on the responsibilities of a…Continue
Summary: In a comprehensive study of 18 recently presented DNN advancements in top-N recommenders, only 7 presented sufficient data to allow reproduction. Worse, of the 7 that could be reproduced none showed an actual improvement over simple linear and KNN techniques when those were properly optimized.
Added by William Vorhies on May 19, 2020 at 12:53pm — No Comments