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March 2018 Blog Posts (99)

Learning Distributed Word Representations with Neural Network: an implementation from scratch in Octave

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.  

 

Problem Statement

In this article…

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Added by Sandipan Dey on March 18, 2018 at 12:00am — No Comments

Woebot — World's First Mental Health Chatbot

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…

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Added by Deena Zaidi on March 17, 2018 at 2:00pm — No Comments

Technical Deconstruction

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…

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Added by Don Philip Faithful on March 17, 2018 at 3:00am — No Comments

What is intelligence?

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 [1] by Shane Legg and Marcus Hutter, attempted to survey the definition from these various fields. The following are some sample…

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Added by Kostas Hatalis on March 15, 2018 at 12:30pm — No Comments

Basics of Bayesian Decision Theory

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…

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Added by Kostas Hatalis on March 15, 2018 at 12:00pm — No Comments

Swarm Optimization: Goodbye Gradients

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…

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Added by Kostas Hatalis on March 15, 2018 at 12:00pm — 2 Comments

Probabilistic Forecasting: Learning Uncertainty

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…

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Added by Kostas Hatalis on March 15, 2018 at 12:00pm — No Comments

Thursday News: AI, ML, Python, Neural Networks, Stochastic Processes

Here is our list of featured resources and articles posted since Monday.

Resources and Technical Contributions

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Added by Vincent Granville on March 15, 2018 at 8:41am — No Comments

A Simple Introduction to Complex Stochastic Processes - Part 2

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…

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Added by Vincent Granville on March 15, 2018 at 6:00am — 4 Comments

Machine learning or laughing? Amazon’s Alexa is freaking people out with unprovoked chuckle

Echo Dot

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…

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Added by Shay Pal on March 14, 2018 at 2:39pm — No Comments

Credit Risk Prediction Using Artificial Neural Network Algorithm

1 Introduction

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…

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Added by Shruti Goyal on March 14, 2018 at 11:30am — 5 Comments

Intent – Solving some problems with ease, others with a little work, and others not at all

Some background

The notion of intent has become stylish. Like other terms that resonate in the community there is a huge temptation to hop on board the train, with ticket, luggage, and destination all sacrificed on the altar of timing. There are some things that intent is a requisite for doing, some problems that have been taken off the table that intent solves easily, and some other things that all the intent in the world can’t fix. I’d like to go over that here. I’m also…

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Added by Daniel Martin on March 14, 2018 at 10:00am — No Comments

18 Great Articles About Predictive Analytics

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting,…

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Added by Vincent Granville on March 13, 2018 at 5:30pm — No Comments

Neural network classification of data using Smile

Data classification is the central data-mining technique used for sorting data, understanding of data and for performing outcome predictions. In this small blog we will use a library Smilecthat includes many methods for supervising and non-supervising data classification…

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Added by jwork.ORG on March 13, 2018 at 4:00pm — No Comments

College Hoops Conference Rankings

It's that time of the year again -- the start of March Madness, 2018. Last Sunday, the selection show announced the 68 teams, and the preliminary round games start tonight. Of the 68 schools, 32 were automatically selected as conference champions, while the remaining 36 received at large bids.

What determines what 36 teams are chosen for at large slots?…

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Added by steve miller on March 13, 2018 at 8:30am — No Comments

Machine Learning Explained: Understanding Supervised, Unsupervised & Reinforcement Learning

Machine Learning is guiding Artificial Intelligence capabilities.

Image Classification, Recommendation Systems, and AI in Gaming, are popular uses of Machine Learning capabilities in our everyday lives. If we breakdown machine learning further, we find that these 3 Machine Learning examples are powered by different types of…

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Added by Ronald van Loon on March 13, 2018 at 7:30am — No Comments

5 Questions To Prepare You For Your Next Data Science Interview

Sat across from the interviewer for your dream job, you may start to feel the pressure. A sure-fire way to quash the interview jitters is to prepare as much as possible. Typically, you can segment the types of questions you’ll get asked in a data science interview; things such as statistics, programming and technical ability, business acumen, and culture fit assessment. Studying up on these will help you prepare as best you can. 

 

Here are some examples of what you…

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Added by Matt Reaney on March 13, 2018 at 4:30am — No Comments

GDPR: an Opportunity to drive Customer Experience & Create Digital Trust

With consumer data privacy becoming a top priority in the current age, regulating authorities have jumped into the conundrum to ensure that users get the privacy they need for their personal data. One such regulatory authority that has come into the mix…

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Added by Ronald van Loon on March 13, 2018 at 12:30am — 2 Comments

Selected Recent Articles from Top DSC Contributors - Part 7

This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written in simple English. The entire series consists of about 120 articles. We intend to publish a new set every two weeks or so. Click here to check out the…

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Added by Vincent Granville on March 12, 2018 at 6:32pm — No Comments

Strata – What a Difference a Year Makes

Summary:  Some observations about new major trends and directions in data science drawn from the Strata Data conference in San Jose last week.

 

I’m just back from my annual field trip to the Strata Data conference in San Jose last week.  Strata is on tour with four more stops before repeating next year.  The New York show is…

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Added by William Vorhies on March 12, 2018 at 4:48pm — 1 Comment

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