Added by steve miller on March 22, 2018 at 11:00am — No Comments
These results are relatively easy to prove (first year college-level calculus needed) and could be a good test to refresh your math skills. We posted another simple one (with a probabilistic / number theory flavor) a while back, see here.…Continue
The main comment I have is that you're…Continue
Added by Jason Byrne on March 21, 2018 at 4:30am — No Comments
Companies like Amazon, and Facebook are setting the standard for customer expectations and customer experience.
This includes everything from understanding the whole customer journey, defining the context and personalizing it, to ensuring the payment experience is seamless and frictionless without compromising…Continue
Summary: We’re stuck. There hasn’t been a major breakthrough in algorithms in the last year. Here’s a survey of the leading contenders for that next major advancement.
It can be difficult to know what to expect when going for an interview. Data Science interviews will require candidates to answer technical questions, and often take on technical exercises depending on the company and role you’re going for.
But often overlooked is the talk about soft skills, such as communication skills business savvy, creativity and impact your work has had in the past.
Here is a selection of non-technical questions you could get asked to help you prepare for…Continue
Added by Matt Reaney on March 20, 2018 at 6:30am — No Comments
The research on improving Artificial Intelligence (A.I.) has been ongoing for decades. However, it wasn’t until recently that developers were finally able to create smart systems that closely resemble the A.I. capabilities of humans.
I found this on Facebook, but it could be 30 years old. Not sure who the original author was, but the quality was very poor, so I re-created it in Excel. I did not change anything to keep it funny as intended. Of course, you should add a back loop in the Machine Learning box: an arrow pointing from the "Program" box back to the "Output" box.
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.
Added by Vincent Granville on March 18, 2018 at 9:00am — No Comments
My new book has been launched today:
AI and Analytics : Accelerating Business Decisions.. The new normal in enterprise strategy and transformation
Introducing, the first of its kind, must have primer for CxOs, executives and professionals on executing AI and Analytics strategies in their enterprises for end-to-end transformative impact.…Continue
Added by Sameer Dhanrajani on March 18, 2018 at 3:30am — No Comments
In this article, the problem of learning word representations with neural network from scratch is going to be described. This problem appeared as an assignment in the Coursera course Neural Networks for Machine Learning, taught by Prof. Geoffrey Hinton from the University of Toronto in 2012.
In this article…Continue
Added by Sandipan Dey on March 18, 2018 at 12:00am — No Comments
Working 24 hours a day, 365 days a year across more than 130 countries, Woebot is undoubtedly a busy therapeutic chatbot. The good news is that Woebot recently secured $8 million to gain access to mental health care worldwide.
The world’s first…Continue
Added by Deena Zaidi on March 17, 2018 at 2:00pm — No Comments
The term “technical analysis” usually refers to the study of stock prices. A technical analyst might use real-time or closing prices of stocks to predict future prices. This is an interesting concept because of what is normally excluded from the analysis - namely, everything except prices. Given that the approach doesn’t necessarily consider the health or profitability of the underlying companies, a purely technical approach seems to offer guidance that is disconnected from reality. Yet…Continue
Added by Don Philip Faithful on March 17, 2018 at 3:00am — No Comments
This is an AI related post on the nature and philosophy of intelligence. In the various fields that study the mind, human or otherwise, there are many definitions (and lack of) for the term 'intelligence'. What is it, how can we measure it, how can we reproduce it? What implications does this have in the fields of AI, machine learning, and data science? A paper  by Shane Legg and Marcus Hutter, attempted to survey the definition from these various fields. The following are some sample…Continue
Added by Kostas Hatalis on March 15, 2018 at 12:30pm — No Comments
The use of formal statistical methods to analyse quantitative data in data science has increased considerably over the last few years. One such approach, Bayesian Decision Theory (BDT), also known as Bayesian Hypothesis Testing and Bayesian inference, is a fundamental statistical approach that quantifies the tradeoffs between various decisions using…Continue
Added by Kostas Hatalis on March 15, 2018 at 12:00pm — No Comments
Fish schools, bird flocks, and bee swarms. These combinations of real-time biological systems can blend knowledge, exploration, and exploitation to unify intelligence and solve problems more efficiently. There’s no centralized control. These simple agents interact locally, within their environment, and new behaviors emerge from the group as a whole. In the world of…Continue
The majority of industry and academic numeric predictive projects deal with deterministic or point forecasts of expected values of a random variable given some conditional information. In some cases, these predictions are enough for decision making. However, these predictions don’t say much about the uncertainty of your underlying stochastic process. A common desire of all data scientists is to make predictions for an uncertain future. Clearly then, forecasts should…Continue
Added by Kostas Hatalis on March 15, 2018 at 12:00pm — No Comments
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a simple approach that can be understood by people with no statistics background other than a first course such as stats 101. I defined and illustrated the continuous Brownian motion (the mother of all…Continue
It’s one thing to believe that Amazon’s Alexa is constantly listening to us, but quite another to worry that she’s laughing at what she hears.
Users of Alexa-enabled devices such as the Echo and the Dot have reported hearing the tech giant’s ubiquitous voice emit a very real-sounding and unprompted laugh of late. Tweets and reports about the artificial intelligence gone rogue have labeled it creepy and scary, and we can see why.
Short of little Carol Anne…Continue
Added by Shay Pal on March 14, 2018 at 2:39pm — No Comments
Credit risk or credit default indicates the probability of non-repayment of bank financial services that have been given to the customers. Credit risk has always been an extensively studied area in bank lending decisions. Credit risk plays a crucial role for banks and financial institutions, especially for commercial banks and it is always difficult to interpret and manage. Due to the advancements in technology, banks have managed to reduce the costs, in order to…Continue