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Thursday News, July 9

Here is our selection of featured articles and technical resources posted since Monday:

Announcements

Resources…

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Added by Vincent Granville on July 9, 2020 at 12:30pm — No Comments

Blockdrop to Accelerate Neural Network training by IBM Research

Scaling AI with Dynamic Inference Paths in Neural Networks

Introduction

IBM Research, with the help of the University of Texas Austin and the University of Maryland, has created a technology, called BlockDrop, that promises to speed convolutional neural network operations without any loss of fidelity.

This could further excel the use of neural nets, particularly in places with limited computing capability.

Increase in accuracy…

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Added by Sharmistha Chatterjee on July 9, 2020 at 12:00pm — No Comments

Difference Between Correlation and Regression in Statistics

Correlation is a measure of linear association between two variables X and Y, while linear regression is a technique to make predictions, using the following model:

Y = a1 X1 + ... + a…

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Added by Vincent Granville on July 9, 2020 at 6:00am — No Comments

Data Decay and Data Enrichment

Data, an organization’s intellectual asset, must be treated and regularly enriched to remain useful and valuable. Over 80% of companies we’ve worked with, — including Fortune 500 organizations — recorded up to 50% growth in sales and customer satisfaction as one of the many benefits of data enrichment. Those that enriched data in line with a company-wide data management plan recorded a 2X increase in ROI.

In this…

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Added by Farah Kim on July 8, 2020 at 8:00pm — No Comments

How to Communicate Data

The following graphic is based on Sam Priddy's excellent DSC/Tableau Webinar How to Accelerate and Scale Your Data Science Workflows. Sam covered many interesting points for organizing, analyzing and presenting data--including which graph is best suited for different data types. This graphic is an overview of some of Sam's points. For more…

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Added by Stephanie Glen on July 8, 2020 at 9:02am — No Comments

Added Chapter on Reinforcement Learning to my book “Bayesuvius” on Bayesian Networks

I just uploaded a new chapter to my github proto-book "Bayesuvius". This chapter deals with Reinforcement Learning (RL) done right, i.e., with Bayesian Networks :)

My chapter is heavily based on the excellent course notes for CS 285 taught at UC Berkeley by Prof. Sergey Levine. All I did was to translate some of those lectures into B net lingo.

During a recent conversation that I had on LinkedIn with some very smart Machine Learning experts, the experts opined that the fields…

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Added by Robert R. Tucci on July 7, 2020 at 12:00pm — No Comments

Why Data Science is a hot Career in 2020

 Data scientist ranks third on the list of LinkedIn emerging jobs of 2020. Similarly, it ranks first on Glassdoor’s hottest jobs of 2020. The data scientist role has been consistently ranked among top jobs in the past few years. There’s not a slightest of doubt that data scientists are in huge demand and are expected to stay in high demand in the coming years. …



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Added by Aileen Scott on July 6, 2020 at 3:00am — No Comments

Building a Deep-Learning-Based Movie Recommender System

With the continuous development of network technology and the ever-expanding scale of e-commerce, the number and variety of goods grow rapidly and users need to spend a lot of time to find the goods they want to buy. This is information overload. To solve this problem, the recommendation system came into being.

The recommendation system is a…

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Added by Kate Shao on July 5, 2020 at 11:30pm — No Comments

Weekly Digest, July 6

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.  …

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Added by Vincent Granville on July 5, 2020 at 6:00pm — No Comments

Fourier Series and Differential Equations with some applications in R and Python (Part 2)

This is the 2nd part of the article on a few applications of Fourier Series in solving differential equations. All the problems are taken from the edx Course: MITx - 18.03Fx: Differential Equations Fourier Series and Partial Differential Equations. The article…

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Added by Sandipan Dey on July 4, 2020 at 5:00pm — No Comments

Fourier Series and Differential Equations with some applications in R (Part 1)

In this article, a few applications of Fourier Series in solving differential equations will be described. All the problems are taken from the edx Course: MITx - 18.03Fx: Differential Equations Fourier Series and Partial Differential Equations. The article will be posted in two parts (two separate blongs)

First a basic introduction to the Fourier series will be given and then we shall see how to solve the following ODEs / PDEs using Fourier series:

  1. Find…
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Added by Sandipan Dey on July 4, 2020 at 5:00pm — 3 Comments

Data As Commodity: For Data Science Professional

What is a commodity?

Commodity are basic raw materials with certain standards that are used with other goods, commodity are often the basis of the production of various finished goods or services and then referred to as commodities (something made based on commodity). Some examples of commodity are seen from their types: metal (gold, silver, platinum, and copper); energy (crude oil and natural gas); livestock and agriculture (beef, mutton, rice, wheat, corn, soybeans,…

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Added by Jeefri A. Moka on July 3, 2020 at 6:30pm — No Comments

Data Governance: Bottom Up Approach to break silos

Over a period, large organizations have been transformed into disintegrated silos that has grown to be a major impediment to respond to changing market demands with agility. Organizational silos have led to innumerous disconnected policies, systems, processes, standards, teams. In order to sustain in this digital era, it’s imperative for organizations to take a top down enterprise value chain view to continually evaluate its ability to adapt (as well as compete) to changing market…

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Added by Subin George on July 3, 2020 at 3:40am — No Comments

The Rise and Rise of Price Analytics!

Recently Netflix launched Rs 199 ($2.8) mobile-only monthly plan in India. CyberMedia Research (CMR) reported that after the release of the new mobile plan, Netflix now has the potential to reach 3.7 million subscribers as compared to the earlier number of 1.3 million subscribers in India by the end of the year. This increased subscriber count…

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Added by Raghavendra Singh on July 2, 2020 at 11:00pm — No Comments

AI for People and Business by Alex Castrounis (O'Reilly Media)

Download chapter 1 for FREE from my book, AI for People and Business: A Framework for Better Human Experiences and Business Success, published by O'Reilly Media.

You can also grab a copy on Amazon.

Thanks and I hope you enjoy! 

Alex…

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Added by Alex Castrounis on July 2, 2020 at 5:00pm — No Comments

Thursday News, July 2

Here is our selection of featured articles and resources posted since Monday:

Announcements

Resources…

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Added by Vincent Granville on July 2, 2020 at 2:00pm — No Comments

IoT in Agriculture: A Bonus for All your Farming Activities

How great would it be to monitor your fields remotely through a smart gadget?

The Internet of Things is defining the new present and future of the farming world. It is positively impacting the overall growth of the farming sector with automation. A smart farming solution has made it easier to:

  • Monitor the fields in real-time
  • Conserve water with smart irrigation
  • Manage the crops remotely
  • Keep a real-time check on the livestock
  • Smart pest…
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Added by Sanjeev Verma on July 1, 2020 at 10:23pm — No Comments

23 sources of data bias for #machinelearning and #deeplearning

In the paper A survey on bias and fairness in machine learning.- the authors outline 23 types of bias in data for machinelearning. The source is good – so below is an actual representation because I found it useful as it is

full paper link below

 

1) Historical Bias. Historical bias is the already…

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Added by ajit jaokar on June 30, 2020 at 12:02pm — No Comments

Math vs. Statistics in One Picture

Math and statistics are vital components of any data scientist's tool box. While some view statistics as a type of math, the reality is that they are completely different subjects. Math is all about numbers and concrete answers, while statistics is making sense of numbers via educated "guesses." This one picture, based on Rossman et al's essay Some Key…

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Added by Stephanie Glen on June 29, 2020 at 2:30pm — No Comments

Racial Bias in Modeling – Not as Simple as You Might Think

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.

 …

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Added by William Vorhies on June 29, 2020 at 11:31am — No Comments

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