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

• Python Overtakes R for Data Science and Machine Learning 
• Machine Learning - The brain of Digital Transformation…

This article summarizes a trend in programming languages usage, based on a number of proxy metrics. This change started to be more pronounced in early 2017: Python became the language of choice, over R, for data science and machine learning applications. 

Statistics from Google

Google has one app called Google Trend to find out trends about specific subjects, to compare interest for a number of…

Here a list of resources, mostly in the form of tutorials, covering most important topics in data science: 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, AI and many more. To keep receiving…

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.

Announcement

• JPMorgan Chase is looking for software engineers with expertise in machine learning and natural language processing to help us build the solutions of the future. We apply advanced ML…

Guest blog post by Mic Farris. Mic is a Decision Science & Analytics Leader at CenturyLink.

Two of the biggest buzzwords in our industry are “big data” and “data science”. Big Data seems to have a lot of interest right now, but Data Science is fast becoming a very hot topic.

Source for…

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

Technical

• Data Science Simplified Part 8: Qualitative Variables in Regression Models
• HDFS vs. HBase : All you need to know…

Here we describe a rudimentary method, using basic trigonometry, to predict lunar and solar eclipses. The purpose is to get people interested in the mathematics behind these events. We assume here that the Sun, the Earth and the Moon are just points. Thus we do not predict where on Earth eclipses take place, nor whether they are full of partial. But we derive some interesting results, such as

• Solar eclipses are as frequent as lunar eclipses
• On average, a solar eclipse…

This is a nightmare! Tadayoshi Kohno, Professor at Department of Computer Science and Engineering, University of Washington, manipulated a STOP sign in a typical "graffiti way", that it was recognized as 45 mph SPEED limit by typical AI software, such as built into a Tesla S. It's very likely, that it will become a sport to send Tesla drivers to hell. …

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.

Announcement

• Looking to further your experience and knowledge in business analytics, and set yourself apart from colleagues and competition? Michigan State University – ranked in the top 25 U.S.…

The intelligence in AI is computational intelligence, and a better word could be Automated Intelligence. But when it comes to good judgment, AI is not smarter than the human brain that designed it. Many automated systems perform poorly, to the point that you are wondering if AI is an abbreviation for Artificial Innumeracy.

Critical systems - automated piloting, running a power plant - usually do well with AI and automation, as considerable testing is done before deploying these…

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

• Nice Generalization of the K-NN Clustering Algorithm - Also Useful for Data Reduction
• More on Fully Automated Machine Learning …

I describe here an interesting and intuitive clustering algorithm (that can be used for data reduction as well) offering several advantages, over traditional classifiers:

• More robust against outliers and erroneous data
• Executing much faster
• Generalizing well known algorithms

You don't need to know K-NN to understand this article -- but click here if you want to…

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.

• How to Optimize Networks for IoT: Whitepaper…

Deep Learning, Neural Networks and AI

The course is a new one by Andrew Ng, Co-founder, Coursera; Adjunct Professor, Stanford University; formerly head of Baidu AI Group/Google Brain. It will start Aug 15. 

About this course: If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly…

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

• Public Data Analytics Companies - who's winning (and not)? 
• 27 Great Resources About Logistic Regression …

The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.

Source for…

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.

• Data Scientist -…

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

• Data Science Simplified: Principles and Process 
• Demystifying Data Lake Architecture …