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September 2019 Blog Posts (83)

We See in 3D – So Should Our CNN Models

Summary:  Autonomous vehicles (AUVs) and many other systems that need to accurately perceive the world around them will be much better off when image classification moves from 2D to 3D.  Here we examine the two leading approaches to 3D classification, Point Clouds and Voxel Grids.


One of the well-known…


Added by William Vorhies on September 23, 2019 at 2:24pm — No Comments

Automation Eliminates Expensive Data Entry Errors

Organizations rarely regard data entry as a key strategic operation. In spite of the rise in automation, companies across the world rely on manual data entry for procurement. They employ staff to transfer data from requisition orders, purchase orders, and invoices into enterprise resource planning (ERP) systems such as SAP, Oracle, PeopleSoft, Netsuite, and many others. 

Transcription and transposition errors are…


Added by Brady Behrman on September 23, 2019 at 6:30am — No Comments

Executive Mandate #1:  Become Value Driven, Not Data Driven

I hate it when I hear senior executives state that they want to become data-driven, as if somehow having data is value in of itself.  Now, one can hardly blame the unenlightened executive whose only perspectives on data are associated with statements like “Data is really the new oil” (Wall Street Journal) or “…


Added by Bill Schmarzo on September 23, 2019 at 5:21am — 2 Comments

Artificial Neural Networks in a Nutshell

According to Wikipedia, an ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. An artificial neuron that receives a signal then processes it and can signal neurons connected to it.

In ANN implementations, the "signal" at a connection is a real number, and the output of each neuron is computed by some…


Added by Capri Granville on September 23, 2019 at 4:30am — No Comments

How to Create a Chatbot to Fit Your Needs and Budget

Chatbots are a hot topic. Conversational commerce and Artificial Intelligence are at the peak; if you haven’t already experimented with chatbots for your customer services, now’s the time. But how do you create a chatbot yourself? Let’s review the options from the simplest to the most complicated.

Menu-based chatbots

The simplest…


Added by Olha Zhydik on September 23, 2019 at 4:00am — No Comments

Designing Apparel with Neural Style Transfer

One of the things that excite the most about the predictive analytics of today is how quickly and bluntly it surpasses the existing benchmarks. Moreover, it penetrates the industries and activities where human creativity has traditionally dominated, adding a futuristic touch to the music, fine arts, fashion or architecture. Following the popular trend, we decided…


Added by Olha Zhydik on September 23, 2019 at 3:30am — No Comments

Fashion and Technology: How Deep Learning Can Create an Added Value in Retail

Today, more and more retail companies understand that to stay ahead of the curve, they need to reshape their businesses, implementing tech-forward approaches and solutions. Data mining and analysis are key to making a shift.

According to McKinsey, data-savvy retailers have the potential to increase…


Added by Olha Zhydik on September 23, 2019 at 3:30am — 1 Comment

Stylometric Feature Engineering Techniques in Authorship Analysis

Technical paper, published in IEEE Xplore.


Authorship analysis (AA) is the study of unveiling the hidden properties of authors from textual data. It extracts an author's identity and sociolinguistic characteristics based on the reflected writing styles in the text. The process is essential for various areas,…

Added by Capri Granville on September 22, 2019 at 1:30pm — No Comments

AI Trading the Market

Written by Jun Wu.

Every year since I worked on wall street, traditional trading-is-an-art-form traders are leaving and retiring.

Their jobs are replaced by a new breed of experts who are savvy with numbers, systems, and the market. These experts don’t sleep, eat or drink. They are the AI Systems that can run on a thousand machines to…


Added by Capri Granville on September 22, 2019 at 1:30pm — No Comments

The problem that Google Solved with Quantum Supremacy

The problem has to do with sampling, random numbers and probability distributions, so it is of interest to our community. As Scott Aaronson describes it in his blog, here is the problem:

You can read more here, including answers to…


Added by Capri Granville on September 22, 2019 at 1:30pm — No Comments

The Math of Machine Learning - Berkeley University Textbook

This document is an attempt to provide a summary of the mathematical background needed for an introductory class in machine learning, which at UC Berkeley is known as CS 189/289A.

Our assumption is that the reader is already familiar with the basic concepts of multivariable calculus and linear algebra (at the level of UCB Math 53/54). We emphasize that this document is not a replacement for the prerequisite classes. Most subjects presented here are covered rather minimally; we intend…


Added by Capri Granville on September 22, 2019 at 11:30am — No Comments

Weekly Digest, September 23

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.  



Added by Vincent Granville on September 22, 2019 at 11:30am — No Comments

Correlation Coefficients in One Picture

Correlation coefficients enable to you find relationships between a wide variety of data. However, the sheer number of options can be overwhelming. This picture sums up the differences between five of the most popular correlation coefficients.…


Added by Stephanie Glen on September 22, 2019 at 6:00am — No Comments

The simplest explanation of machine learning you’ll ever read

This article was written by Cassie Kozyrkov.


You’ve probably heard of machine learning and artificial intelligence, but are you sure you know what they are? If you’re struggling to make sense of them, you’re not alone. There’s a lot of buzz that makes it hard to tell what’s science and what’s science fiction. Starting with the names…


Added by Andrea Manero-Bastin on September 21, 2019 at 9:00am — No Comments

AWK -- a Blast from Wrangling Past.

I recently came across an interesting account by a practical data scientist on how to munge 25 TB of data. What caught my eye at first was the article's title: "Using AWK and R to parse 25tb". I'm a big R user now and made a living with AWK 30 years ago as a budding data analyst. I also empathized with the author's recountings of…


Added by steve miller on September 21, 2019 at 5:30am — 2 Comments

Explaining Logistic Regression as Generalized Linear Model (in use as a classifier)

The explanation of Logistic Regression as a Generalized Linear Model and use as a classifier is often confusing.

In this article, I try to explain this idea from first principles. This blog is part of my forthcoming book on the Mathematical foundations of Data Science. If you are interested in knowing more, please follow me on linkedin Ajit Jaokar

We take the following approach:

  • We see first briefly how…

Added by ajit jaokar on September 20, 2019 at 11:36am — No Comments

Some Data Science Certifications Worth Considering

Data science is becoming the pulse of the industry as they provide the minute details to speed up marketing campaigns, enhance business opportunities, drive excellence and earn profit in business by making intelligent decisions. 

As a result, the job market for data science professionals is proliferating. The scope in the field of Data Science is vast and opens up several innovative opportunities by 2020 and beyond. Learn data science skills and become one among the…


Added by Yoey Thamas on September 20, 2019 at 1:00am — No Comments

Thursday News, September 19

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



Added by Vincent Granville on September 19, 2019 at 9:30am — No Comments

Applications of Data Analytics

I am presenting at the upcoming NISS (National Institute of Statistical Sciences) webinar on September 27. This was my first employer in US, back in 1996. I was then completing a post-doc.

My presentation focuses on new algorithms, original applications, theoretical data science (including a new conjecture about data sets) and implications to business analytics, as well as new foundations of statistics, based on general resampling and model free, data-driven techniques. It will also…


Added by Vincent Granville on September 19, 2019 at 9:30am — No Comments

How AI/ML Could Return Manufacturing Prowess Back to US

I grew up in a small manufacturing town in Northeast Iowa.  The factory in my hometown made tractors (no surprise given that it was Iowa), but eventually the economics of cheap foreign labor and an interconnected global economy caught up with that factory – as it did with many US-based manufacturers – and soon the factory closed, and many people were laid off.

But the technology world continues to evolve – especially with respect to IoT, Data Science and AI/ML – and so…


Added by Bill Schmarzo on September 19, 2019 at 8:45am — No Comments

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