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Featured Blog Posts (6,023)

Stock price prediction using LSTM (Long Short-Term Memory)

In this article, I am going to show how to write python code that predicts the price of stock using Machine Learning technique that Long Short-Term Memory (LSTM).

Algorithm Selection

LSTM could not process a single…

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Added by Thenuja Shanthacumaran on June 13, 2020 at 8:30am — 3 Comments

No ML algorithms cheat sheet, please

What is a Cheat Sheet ?

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Added by Venkat Raman on June 8, 2020 at 11:30pm — 1 Comment

Digital Strategy Series Part 2: Creating an Agile and Adaptive Business Strategy Courtesy of AI

While Strategy may not be dead, the importance of the traditional strategy function will be greatly reduced by the emergence of AI. In my previous blog “Strategy Series Part 1: "Creating a Data Strategy that Delivers Value,"  I asked:  How does one develop data and AI strategies in a world of continuous change and transformation?  Tesla provides an interesting poster child for that question: What is Tesla’s business strategy?  Is Tesla an automotive…

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Added by Bill Schmarzo on June 8, 2020 at 5:30am — No Comments

How COVID-19 is Changing our Relationship with Data

How COVID-19 is Changing our Relationship with Data

An increasing proportion of businesses use scientific methods to analyze data. Yet, because key decision-makers do not believe in a data-driven method, a sizable number do not turn their data into actionable information. Instead, these individuals rely on their instincts to drive decisions. If used in lieu of data,such hunch-based mindsets often lead to inefficiencies and wasted…

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Added by Taymour Matin on June 8, 2020 at 10:00am — 2 Comments

How Does Google Tag Manager Make Website Tracking Easier?

Do you want to deploy tracking codes to a website quickly? With Google tag manager (GTM), it can be possible without any modifications in coding. Tags work like a tracking source on the website, and Google tag manager allows you to manage tags easily. It completely changes the way of deploying tracking codes without getting any help from developers. For the e-marketers, it works like a big…

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Added by Rio on June 10, 2020 at 2:00am — No Comments

18 Handy Resources for Machine Learning Practitioners

Machine Learning is a diverse field covering a wide territory and has impacted many verticals. It is able to tackle tasks in language and image processing, anomaly detection, credit scoring sentiment analysis, forecasting alongside dozens of other downstream tasks. A proficient developer, in this line of work; has to be able to draw, borrow, and steal from many adjacent fields such as mathematics, statistics, programming, and most importantly common sense. I for one have drawn tremendous…

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Added by Al Gharakhanian on June 10, 2020 at 9:30am — No Comments

Automating SQL Queries to Push Information to Business

Most of us working in business intelligence and data science spend a lot of time creating data models, reports and beautiful dashboards. Even though the models are great and reports look fancy, the true value is in your customers actively using it. How often do you find that nobody is actually running the report?

This hurts, but it also makes sense. People get so much information during a day, they really need to be selective. So any important information should pop out of your report…

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Added by Nanne Sluis on June 10, 2020 at 10:00am — No Comments

Targeting Hate Speech

Summary:  Objectively identifying hateful or abusive speech on social media platforms would allow those platforms to better control it.  However to be objective and without bias that identification would have to be independent of the author especially where elected officials are involved.

 

What could be more…

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Added by William Vorhies on June 8, 2020 at 2:25pm — No Comments

You're a Data Artist, not a Data Scientist

"Data Scientist" is 2020's equivalent of the rocket scientist of the 1950's: mysterious, sexy, and well-paid. But are you actually a "scientist"? While “data science” isn't fully defined yet as an academic subject (National Academies of Sciences, Engineering, and Medicine, 2018), more and more evidence seems to point to it being more of an art, rather than a science. …

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Added by Stephanie Glen on June 11, 2020 at 7:00am — 2 Comments

Causal AI & Bayesian Networks



Bullet ripping through Jack of Hearts. High speed photo by MIT's Harold (Doc) Edgerton.











Artist Harry Clarke's 1919 illustration for "A Descent into the Maelström"



Introduction



We are all familiar with the dictum that "correlation does not imply causation". Furthermore, given a data file with samples of two variables…

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Added by Robert R. Tucci on June 10, 2020 at 5:00pm — No Comments

Weekly Digest, June 8

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. To subscribe, follow this…

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Added by Vincent Granville on June 7, 2020 at 12:00pm — No Comments

Lockdowns Knock Down the Spread of COVID-19, but Only to a Point (and only early on)

by Mike Thurber and John Elder, Ph.D.

By tracking anonymized mobile phone location data and COVID-19 case reports for many countries with different policies, we studied the effect of restricting mobility on the spread of COVID-19.  We found that lockdown policies did rapidly reduce the…

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Added by Paul Derstine on June 2, 2020 at 6:44am — No Comments

Information Theory (Turbo Codes) & Bayesian Networks

An error correcting code (ECC) is a way of controlling errors in data that is being transmitted over an unreliable or noisy communication channel. In an ECC, the sender encodes the message with redundant information. The receiver is able to detect a limited number of errors, and to correct these errors without retransmission.

Turbo codes are a class of ECC that approach very closely the theoretical…

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Added by Robert R. Tucci on June 4, 2020 at 4:04pm — No Comments

Reinforcement Learning (Q-learning) - An Introduction (Part 1)

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…

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Added by Nitin Agarwal on June 4, 2020 at 7:51pm — No Comments

Reinforcement Learning (Q-learning) - Implementation using R (Part 2)

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.

Import libraries

We are coding the algorithms using the R base package…

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Added by Nitin Agarwal on June 4, 2020 at 8:23pm — No Comments

Mortality and co-morbidity Investigation in Italy under Covid-19

Mortality and co-morbidity Investigation in Italy under Covid-19

Dispensing connection between characteristic, co-morbidities, and mortality outcomes among 1890 patients with Covid-19 and three cause of death: infectious, respiratory and under investigation diseases which affected mortality rates in Italy between 2010 and 2017.

by Federica…

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Added by Federica Gazzelloni on June 6, 2020 at 1:12am — No Comments

Bernoulli Lattice Models - Connection to Poisson Processes

Bernouilli lattice processes may be one of the simplest examples of point processes, and can be used as an introduction to learn about more complex spatial processes that rely on advanced measure theory for their definition. In this article, we show the differences and analogies between Bernouilli lattice processes on the standard rectangular or hexagonal grid, and the Poisson process, including convergence of discrete lattice processes to continuous Poisson process, mainly in two…

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Added by Vincent Granville on June 5, 2020 at 7:00am — 2 Comments

The VC's Guide to Machine Learning

© 2020 by Radna Intellectual Ventures, LLC.

“Artificial Intelligence began with an ancient wish to forge the Gods."

In the singular…

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Added by Andrew Vo on June 1, 2020 at 12:00pm — No Comments

5 Most Popular Measures For Capturing Forecasting Error For Time Series

This article is chunk from one of my blog posts on Arima time series forecasting with Python It is a pretty extensive tutorial and until and unless you are not really interested in learning in and outs of about ARIMA time series forecasting don't bother to click. 

But I do wanted to share this list of 5 very useful metrics for a…

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Added by Mohit Sharma on June 1, 2020 at 8:30pm — No Comments

Visualizing the Performance of COVID Models

by Chris McLean & Peter Bruce

Never before have statistical models received the attention they are getting now in the midst of the Coronavirus pandemic.  It is hard to read a news feed today without encountering either:

  • New predictions…
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Added by Paul Derstine on June 2, 2020 at 7:06am — No Comments

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