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May 2020 Blog Posts (87)

Gamification and Simulation in Education and Corporate Learning

In the article, we talk about the benefits of gamification in training, why it’s becoming a necessity in the Education field and what are some brightest examples of gamification software across the world.

Why is education not effective without gamification? Psychology, social impact and technology hidden…

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Added by Mariana Muzyka on May 25, 2020 at 5:53am — No Comments

Digital Strategy Series Part I: Creating a Data Strategy that Delivers Value

Oh, the strategy pundits hate me! It’s not because I’m tall, good looking and from Iowa (well, 2 out of 3 ain’t bad), it’s because I think Strategy as a “Discipline” is way overblown.  I won’t go as far as the Harvard Business Review to state that “Strategy is Dead”, but the importance of carefully defining a strategy (typically done in the ivory towers of the puzzle palace) and then commanding all the little soldiers to follow the strategy script are over!

Former World…

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Added by Bill Schmarzo on May 24, 2020 at 3:00pm — No Comments

Weekly Digest, May 25

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 link.  

Featured Resources and…

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Added by Vincent Granville on May 24, 2020 at 12:30pm — No Comments

Statistics Used in Data Science (A Dictionary in One Picture)

Naming conventions are often quite different in statistics and data science, which causes quite a bit of confusion. Part of the problem with naming conventions is  that "...data science is the child of statistics and computer science” (Blei & Symth, 2017) . In essence, data science then is the child of two parents who speak different languages. In one sense, this makes the job of the data scientist not only to apply the knowledge from both…

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Added by Stephanie Glen on May 24, 2020 at 12:08pm — No Comments

AI superpowers – for people and jobs

 

Introduction

In this post, I argue that

  • The idea of AI Superpowers could also apply to people and not only nations.
  • Post COVID the biggest change will be the loss of the factory assembly line (the 1920s Henry Ford model and Frederic Taylor's division of labor ideas)
  • A new class of ‘worker’ - if we may call them…
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Added by ajit jaokar on May 23, 2020 at 2:00pm — No Comments

Milvus: A big leap to scalable AI search engine

The challenge with data search

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Added by Kate Shao on May 22, 2020 at 11:00pm — No Comments

The Most Important Fundamentals of PyTorch you Should Know

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Added by James Montantes on May 22, 2020 at 11:00am — No Comments

Can a human brain hold your life experience?

A human brain is an amazing instrument. It combines huge data storage with massive real-time processing. According to Scientific American [1], the memory capacity of the human brain was reported to have the equivalent of 2.5 petabytes (2500 TB) of memory capacity. This number was obtained by estimating how much information can be stored by 125…

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Added by jwork.ORG on May 21, 2020 at 3:30pm — No Comments

Thursday News, May 21

Here is our selection of featured technical resources and articles.

Announcement

Resources

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Added by Vincent Granville on May 21, 2020 at 12:00pm — No Comments

What are “Recurrent Neural Networks”, and how it is different than “Convolutional Neural Networks”

CNN and RNN are amongst most important algorithm of Neural Network family, also they differ in their network process and solving problems.

So talking about their differences:

CNN are used to solve classification and regression problems and RNN are used to solve sequence information.

CNN are used for 2D image…

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Added by Sameer Nigam on May 21, 2020 at 12:00pm — No Comments

Entropy of rolling dices

The Entropy is one of the most important concepts in many fields like physics, mathematics, information theory, etc.

Entropy is related to the number of states that one stochastic system can take and how this system will evolve with time, in such a way that the uncertainty will be maximized.

This will happened y two ways, first, every system will choose the configuration with a higher degree of entropy among all that are available and second, if we let the system evolve, after…

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Added by Pablo Gutierrez on May 21, 2020 at 6:53am — No Comments

Quantum Bayesian Network view of hybrid quantum-classical computation

Introduction



Hybrid Quantum-Classical Computing (HQCC) (a.k.a. Variational Quantum Eigensolver (VQE)) is often touted as one of the main algorithms of Quantum AI. In fact, Rigetti, a Silicon Valley company which for several years has provided cloud access to their superconductive quantum computer, has designed its services around the HQCC paradigm.

In this brief blog post, I will explain how HQCC can be understood in terms of quantum Bayesian networks. In the process, I will…

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Added by Robert R. Tucci on May 20, 2020 at 3:06pm — No Comments

Damn Pandemic: Epidemiological Models

After being confined for 2 months and hearing the word pandemic almost daily, seeing graphs, opinions, time lines and values that rise and fall, I became curious. Firstly, what is a pandemic? Is it the same as an epidemic? A plague? Was the plague an epidemic? What do epidemiologists study? Yes, they study a discipline called epidemiology.

 

What is epidemiology?

 

Epidemiology studies the distribution, frequency, relationships, predictions, and…

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Added by Luis Hidalgo Encinas on May 19, 2020 at 9:00pm — No Comments

KISS – Complex DNN Techniques are Not the Improvements They’re Reported to Be

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.

 …

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Added by William Vorhies on May 19, 2020 at 12:53pm — No Comments

PWAs VS Native Apps: Which are Better?

Progressive web apps have been a success since their onset. PWAs load faster than other apps and they are smaller in size too. Did you know Uber’s PWA takes just 3 seconds to load on the 2G network?…

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Added by Varun Bhagat on May 18, 2020 at 12:30am — No Comments

Leveraging Data Science to Create a COVID-19 At-Risk Score

Everyone wants to restart the economy safely.  Everyone.  The question isn’t “if”, it’s “when” and “how” and somehow that’s when politics gets involved.  So, let’s stop pointing fingers at “others” and blaming them for the world’s woes.  Now is the time to work together and create a plan to address the “when” and “how” questions.  And here’s a…

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Added by Bill Schmarzo on May 17, 2020 at 5:43pm — No Comments

Weekly Digest, May 18

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 May 17, 2020 at 3:30pm — No Comments

How to maintain Model Effectiveness after deployed

How to maintain Model Effectiveness after deployed

When we ready to deploy a good predictive model which given a good accuracy score on training and testing dataset, there is one more problem to solve.  How long will this model effectively solve the problem with the same high accuracy and what is the strategy to maintain the model accuracy. We also need to…

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Added by Ramesh on May 17, 2020 at 11:32am — No Comments

Covid19 : Chapter 1 : Need of a Master Algorithm

Unfortunately MDP(Markov decision process) ,which is core part of learning agent of autonomous car  can’t help to develop inference system which can help to predict Covid19 positive patient based on symptoms or X-ray image of the patient. Offcourse we have multiple option’s (i.e. classification using logistic regression or can go for CNN) however both have dependency on the data..ohh.. NOT  DATA …… It’s reliable and lots of data. As both are extension of Bayes…

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Added by Preet Sharma on May 17, 2020 at 9:30am — 1 Comment

Difference Between Classification and Regression in One Picture

Regression and classification are both supervised machine learning techniques that use known data to make predictions. Where they differ is in what type of question you want answer, and how your output data is structured.  For example, do you want discrete, categorical answer choices, like yes/no, or a range of possible values from 0 to 100? This one picture shows the basic differences between the two methods.…

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Added by Stephanie Glen on May 17, 2020 at 5:58am — No Comments

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