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Why Excel Users Should Learn Python

Microsoft Excel has been around for over 30 years now, and chances are it's not going to change in the foreseeable future. In fact, Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel's massive user base of approximately 500 million worldwide. However, making a dent in the enterprise space is huge challenge. It's nearly impossible to rip and replace Excel along with Office 365 and the…


Added by Rafael Knuth on October 9, 2018 at 7:30am — 1 Comment

Supervised Learning – Everything You Need To Know

Supervised learning – A blessing we have in this machines era. It helps to depict inputs to outputs. It uses labelled training data to deduce a function which has set of training examples. The majority of practical machine learning uses supervised learning as on date.

What is Machine Learning

AILabPage defines Machine Learning  as A focal point where business, data and experience meets…


Added by Vinod Sharma on October 8, 2018 at 10:00am — No Comments

Pattern Recognition Objects and the Internal Conception of Meaning

A candlestick chart is sometimes used by stock market technicians to make trading decisions.  Each candlestick graphically depicts the following prices simultaneously:  opening, closing, high, and the low.  An interesting question is whether candlesticks can be used for pattern recognition purposes.  Traders directly interpret the charts - applying a type of pattern recognition that might involve industry norms and personal judgment.  But I mean using a systematic or algorithmic…


Added by Don Philip Faithful on October 8, 2018 at 5:46am — No Comments

Weekly Digest, October 8

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.


  • Big data is a big buzzword in the business world. But it’s a serious concept, referring to data sets so large and complex that traditional data-processing applications simply…

Added by Vincent Granville on October 7, 2018 at 8:30am — No Comments

Decision Tree Classifier Implementation In R

This article was written by 

The decision tree classifier is a supervised learning algorithm which can use for both the classification and regression tasks. As we…


Added by Emmanuelle Rieuf on October 6, 2018 at 11:30am — No Comments

Something for nothing: the shortcomings of self-serve BI

Recently, I read an article from examining the 5 pitfalls of self-service BI. The author, Thor Olavsrud did a fantastic job explaining how just having a tool doesn’t mean that…


Added by Matthew Gierc on October 5, 2018 at 7:39pm — 1 Comment

20 Great Articles about AI

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 these articles, …


Added by Andrei Macsin on October 5, 2018 at 10:00am — No Comments

AI responsibility: Taming the algorithm

We've reached a point where human (cognitive) task performance is being leveraged or even replaced by AI. So who or what is responsible for what this AI does?

While the question seems simple enough, legal answers from the field are apparently opaque and embroiled. This is caused by the fact that AI is performing human-like tasks without having the clear legal accountability of one, and the question is whether it should have any. Fortunately, now that machine learning and artificial…


Added by Roger van Daalen on October 5, 2018 at 5:21am — No Comments

Ajit Jaokar Retrospective: AI, ML, IoT, Data Science Articles

Ajit's research is focused on Data Science for IoT. He teaches the same at Oxford University and UPM in Madrid (@forumoxford + @citysciences). Ajit is also launching a course / certification in Data Sciences for Industrial IoT. His personal research interests include Deep Learning algorithms for IoT/future city domains.…


Added by Vincent Granville on October 4, 2018 at 9:00am — No Comments

Thursday News: AI, IoT, Datasets, Deep Learning, Python vs R

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

Technical Resources


Added by Vincent Granville on October 4, 2018 at 8:00am — No Comments

Ad hoc analysis: BI's fast food problem

(This article originally…


Added by Matthew Gierc on October 4, 2018 at 7:00am — No Comments

AI Transforms Industrial IoT

If you’ve been studying artificial intelligence and its growth, you’ll know that the industry is well past its nascent stage now. There is significant maturity in its growth, and companies from diverse backgrounds are realizing the impact of incorporating data and AI into their…


Added by Ronald van Loon on October 3, 2018 at 10:15pm — No Comments

Why Use Framework for Deep Learning?

Why Use Framework for Deep Learning?

You can implement your own deep learning algorithms from scratch using Python or any other programming language. When you start implementing more complex models such as Convolutional Neural Network (CNN) or Recurring Neural Network (RNN) then you will realize that it is not practical to implement very large models from scratch. …


Added by Muhammad Rizwan on October 3, 2018 at 8:00pm — No Comments

Predict ►Prescribe ►Prevent Analytics Value Cycle

Organizations looking for justification to move beyond legacy reporting, should review this little ditty from the healthcare industry:

The Institute of Medicine (IOM) estimates that the United States loses $750 billion annually to medical fraud, inefficiencies, and other siphons in the health-care system[1].

The report identified six major areas of waste: unnecessary services ($210 billion annually); inefficient…


Added by Bill Schmarzo on October 2, 2018 at 2:30pm — No Comments

Getting real insights from human resources management.

Data Science is a broad discipline, even though the concept is recent, every day is evolving. According to Berkeley School of Information, the Data Science Life Cycle has five stages, this stages are not exclusive from one another. These five stages are Data Capture, Data Maintain, Data Process, Data Analysis and Data Communication. The latter is the most important activity in businesses. It is where we deliver Data Visualizations, Data Reports, Business Intelligence and Decision Making.…


Added by Mauricio Mani on October 2, 2018 at 2:00pm — No Comments

Lots of Free Open Source Datasets to Make Your AI Better

Summary:  There are several approaches to reducing the cost of training data for AI, one of which is to get it for free.  Here are some excellent sources.


Recently we wrote that training data (not just data in general) is the new oil.  It’s the difficulty…


Added by William Vorhies on October 2, 2018 at 7:23am — No Comments

Python Vs R : The Eternal Question for Data Scientists

Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.

But which one is better? And, more importantly, which one should you learn?

Both are widely used and are standard tools in the hands of every data scientist.

The answer may surprise you – because as a professional data scientist, you should be ready to deal with…


Added by Divya Singh on October 2, 2018 at 6:15am — 1 Comment

Statistical analysis on the Android platform

Last week a new release of AWork (version 2.0) was submitted to Google Play  (see the AWork link). Finally it supports Android 8+ devices with high resolution screens. AWork is a complete programming environment for Android devices…


Added by jwork.ORG on October 1, 2018 at 3:30pm — No Comments

AI and Algorithmocracy: What the Future Will Look Like


With the recent news about Facebook and Cambridge analytica, we are rightly concerned about the power and impact of algorithms to shape…


Added by ajit jaokar on October 1, 2018 at 2:00am — No Comments

AI and the Future of Millennials

AI has snuck into our daily lives and there is nothing to stop it. Not only does AI power autonomous vehicles, but AI already decides what products you should buy, what movies you should watch, what music you should listen to, and whom you should date. If you talk to your iPhone, Google Home, and Amazon Echo, you are talking to an AI engine that powers these personal virtual assistants. AI decides whether you are approved for a loan, determines the outcome of a job applications, identifies…


Added by Bill Schmarzo on September 30, 2018 at 2:11pm — No Comments

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