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Featured Blog Posts – November 2018 Archive (73)

Dean of Big Data Driving the Snakes of Data Science Out of Ireland

I recently had the great opportunity to keynote the Analytics Institute of Ireland’s annual conference.  The event was marvelous!  Over 500 attendees, outstanding presentations from an impressive lineup of presenters, and heavy engagement from the participants before, during and after my keynote.

Lorcan Malone, CEO of…


Added by Bill Schmarzo on November 15, 2018 at 3:30pm — No Comments

The Halley’s comet Data Scientist

Image source: Wikipedia


This post is about how not to be the Halley’s comet Data Scientist i.e. to keep yourselves motivated in your Data Science journey

The views expressed here are my own

Many professionals want to transition their career to AI.

But most will not

Often, we see a…


Added by ajit jaokar on November 15, 2018 at 12:49pm — 2 Comments

Intro to Data Science for Managers [Mindmap]

Data science has become an integral part of many modern projects and businesses, with an increasing number of decisions now based on data analysis. The data science industry is experiencing an acute …


Added by Igor Bobriakov on November 14, 2018 at 7:30am — 4 Comments

Learning Mathematics for Data Science

I am halfway through my journey of being enough Mathematically literate to understand and work comfortably with Data Science books, posts, articles and journals. I wrote about my learning sabbatical earlier here.  Before I go on I want to reiterate few things which have established my way of learning and working.  Whenever I want to learn…


Added by Arnuld on November 13, 2018 at 8:30pm — 1 Comment

29 Statistical Concepts Explained in Simple English - Part 3

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…


Added by Vincent Granville on November 13, 2018 at 7:30pm — 2 Comments

The Key to Unlock Digital Transformation

Digital Transformation is exploiting digital technologies and data to enhance the firm’s business model. Unfortunately, a Forbes study says that 84% of the Digital Transformation initiatives fail. There are many reasons for this and one important reason is tied to the way businesses inherently operate. Basically, businesses exist to earn profits and driving profits or margins is…


Added by Prashanth Southekal, PhD on November 12, 2018 at 5:30pm — No Comments

10 signs you might be ready to let your inner data scientist out.

1) You can picture yourself being introduced as a data scientist without blushing.

Data science is more than a career, it is a lifestyle that requires committing to be a lifelong learner with all the trade-offs that entails. If the idea of "data science" seems over hyped and hokey then you most likely will not have the drive to…


Added by Phil Hummel on November 12, 2018 at 4:00pm — No Comments

Prescriptive Maintenance for Manufacturing Industry

 Author: Partha Deka and Rohit Mittal

Industrial Maintenance:

Today’s trend of Artificial Intelligence (AI) and the increased level of Automation in manufacturing allow firms to flexibly connect assets and improve productivity through data-driven insights that has not been possible before. As more automation is used in manufacturing, the speed of responses required in dealing with maintenance issues is going to get faster and…


Added by Partha Pritam Deka on November 12, 2018 at 12:30pm — No Comments

Best books on Artificial Intelligence and Deep Learning for October 2018

Advanced Deep Learning with Keras


A comprehensive guide to advanced deep…


Added by Packt Publishing on November 12, 2018 at 2:20am — No Comments

20 Cheat Sheets: Python, ML, Data Science, R, and More

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, dataviz, and many more. To keep receiving these articles, …


Added by Vincent Granville on November 11, 2018 at 9:00am — No Comments

Weekly Digest, November 12

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.


  • Jump-start your career as a data scientist, data engineer, or analytics manager in…

Added by Vincent Granville on November 11, 2018 at 6:30am — No Comments

Hypothesis Development Canvas Version 0.4

In the blog “Data Science ‘Paint by the Numbers’ with the Hypothesis Development Canvas,” I introduced the Hypothesis Development Canvas as a tool for linking an organization’s data science activities with the organization’s strategic business initiatives (see Figure 1). …


Added by Bill Schmarzo on November 10, 2018 at 1:16pm — No Comments

Anatomy of an AI System

This article was written by Kate Crawford & Vladan Joler. Below is an extract, featuring the first three sections of this long article (21 sections total.) Link to the full article is provided at the bottom.…


Added by Andrea Manero-Bastin on November 9, 2018 at 7:00pm — No Comments

Face Landmark Estimation Application

Face Landmark Estimation Application

After detecting a face in an image, as seen in the earlier post ‘Face Detection Application’, we will perform face landmark estimation. Face landmark estimation means identifying key points on a face, such as the tip of the nose and the center of the eye.…


Added by Muhammad Rizwan on November 9, 2018 at 11:19am — No Comments

Artificial Intelligence Era Requires New Approaches to Create AI Talent

We live in the world of AI currently, and there is plenty of talk about what the future holds. With doubts over the future everywhere, one can predict that AI is soon going to be an imperative part of our lives. Considering the likely future impact of AI, there is a need to ensure that the right AI talent comes up and gets to the top to lead…


Added by Ronald van Loon on November 8, 2018 at 9:45pm — No Comments

How Millennials Should View the World of Data Science

Many of my MBA students are perplexed about how much data science capabilities and skills they need in order to get hired.  It appears that in many job interviews, employers are looking for students who have both business subject matter as well as data science expertise. Here is an example of such a conversation:

MBA Student: I get lots of questions about my data science skills. I don't understand the need for that from me. I will never be as good as a…


Added by Bill Schmarzo on November 8, 2018 at 1:38pm — No Comments

5 Minute Analysis: Underutilized Kaggle Data

In this 5 Minute Analysis we'll focus on exploring the collection of Kaggle datasets data in real-time, reorganizing it, and filtering the data to find popular datasets with many downloads but very few kernels.



Added by Benjamin Waxer on November 8, 2018 at 9:00am — No Comments

AI technologies used in Robotics





Robotics today is not the same as assembly line Robots of the industrial age because AI is impacting many areas of Robotics.

Specifically, AI is changing Robotics in two key areas

  1. Robots are becoming autonomous and
  2. Robots are becoming context aware –…

Added by ajit jaokar on November 7, 2018 at 4:32am — No Comments

San Diego Water Pollution Map by Stations

I have been working with San Diego Water quality data project:

Here are data sets:

Regretfully my complete works do not fit into the blog post (or even a few posts) because of a post…


Added by Maiia Bakhova on November 6, 2018 at 11:46am — No Comments

Speedup your Machine Learning applications without changing your code

Emerging cloud applications like machine learning, AI and big data analytics require high performance computing systems that can sustain the increased amount of data processing without consuming excessive power. Towards this end, many cloud operators have started adopting heterogeneous infrastructures deploying hardware accelerators, like FPGAs, to increase the performance of computational intensive tasks. However, most hardware accelerators lack…


Added by Chris Kachris on November 6, 2018 at 7:00am — 2 Comments

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