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Featured Blog Posts (4,596)

Advanced Analytics – The Fourth Great Lever of Corporate Change

Summary:  Advanced analytics and AI are the fourth great lever available to create organic improvement in corporations.  We’ll describe why this one is different from the first three and why the CEO needs the direct help of data scientists to make this happen.



Added by William Vorhies on October 15, 2018 at 2:33pm — No Comments

How to Choose a Machine Learning Model – Some Guidelines



In this post, we explore some broad guidelines for selecting machine learning models


The overall steps for Machine Learning/Deep Learning are:

  • Collect…

Added by ajit jaokar on October 15, 2018 at 11:30am — No Comments

Transfer Learning –Deep Learning for Everyone

Summary: Deep Learning, based on deep neural nets is launching a thousand ventures but leaving tens of thousands behind.  Transfer Learning (TL), a method of reusing previously trained deep neural nets promises to make these applications available to everyone, even those with very little labeled data.



Added by William Vorhies on April 17, 2018 at 12:25pm — No Comments

Weekly Digest, October 15

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.

  • Verizon—Solutions Engineers (Analysts) - Las Colinas, TX & Cary, NC

    Verizon is looking for Analysts who can use their technical and sales…

Added by Vincent Granville on October 14, 2018 at 6:00am — No Comments

Large Collection of Neural Nets, Numpy, Pandas, Matplotlib, Scikit and ML Cheat Sheets

This collection covers much more than the topics listed in the title. It also features Azure, Python, Tensorflow, data visualization, and many other cheat sheets. Additional cheat sheets can be found here and here. Below is a screenshot (extract from the data…


Added by Capri Granville on February 26, 2018 at 5:30pm — No Comments

Deep Learning Networks: Advantages of ReLU over Sigmoid Function

This was posted as a question on StackExchange. The state of the art of non-linearity is to use rectified linear units (ReLU) instead of sigmoid function in deep neural network. What are the advantages? I know that training a network when ReLU is used would be faster, and it is more biological inspired, what are the other advantages? (That is, any disadvantages of using sigmoid)?…


Added by L.V. on October 11, 2018 at 6:00pm — No Comments

Building Shiny Apps: Tutorial

This article was posted by Dean Attali. Dean is currently an R-Shiny consultant.

Shiny is a package from RStudio that can be used to build interactive web pages with R. While that may sound scary because of the words “web pages”, it’s geared to R users who have 0 experience with web development, and you do not need to know any HTML/CSS/JavaScript.

You can do quite a lot…


Added by Emmanuelle Rieuf on October 10, 2018 at 9:30am — No Comments

Deep Learning Research Review: Natural Language Processing

This article was written by Adit Deshpande on his own blog.

This is the 3rd installment of a new series called Deep Learning Research Review. Every couple weeks or so, I’ll be summarizing and explaining research papers in specific subfields of deep learning. This week focuses on applying deep learning to Natural Language Processing. The …


Added by Emmanuelle Rieuf on October 9, 2018 at 3:30pm — No Comments

5 Principles for Big Data Ethics

Greek Philosophers Busts, College of Arts & Sciences, Miami University

Big data analytics raises a number of ethical issues, especially as companies begin monetizing their data externally for purposes different from those for which the data was initially collected.…


Added by Pedro URIA RECIO on September 14, 2018 at 3:30am — No Comments

AI in Healthcare - Ethical Considerations

Given the touting of recent analytic and machine learning results in healthcare, why haven't doctors been replaced by computers yet? The truth is that there are many obstacles that stand in the way of implementing  analytics in healthcare. Ethical issues introduced by this technology are also fiercely debated and must be considered. Finally, while obstacles imply a possibility of being overcome, there are also limitations to this technology,…


Added by Vik Kumar on October 13, 2018 at 11:55am — No Comments

Invitation to Join Data Science Central

Join the largest community of machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical and statistical professionals: Sign up here. If instead, you are only interested in receiving our newsletter, you can subscribe here.…


Added by Vincent Granville on August 11, 2018 at 5:30am — No Comments

Free eBook: Enterprise AI - An Applications Perspective

By Ajit Jaokar and Cheuk Ting Ho.

Version One: Release date: Oct 24. Exclusively on Data Science Central with free access.


Enterprise AI: An applications perspective takes a use case driven approach to understanding the deployment of AI in the Enterprise. Designed for strategists and developers, the book provides a simple and practical roadmap based on application use cases for AI in…


Added by Vincent Granville on October 10, 2018 at 6:00am — 1 Comment

7 Steps to Build a Data-Driven Culture in your Organization

A data-driven culture does not happen overnight. Very deliberate & tangible steps need to be taken to foster a data-oriented culture in the following order:

1) A single source of truth: Data sources in large organizations are often siloed in independent systems. Staff can pull the same metric…


Added by Pedro URIA RECIO on September 14, 2018 at 3:34am — No Comments

Mixing & Matching in R for Data Science

I've spent time over the last few months attempting to enhance my skills in the statistical sub-field of causal inference.

Overly simplified, causal inference comprises a series of methodologies and techniques to assist analysts in making the jump from association or correlation to cause and effect.…


Added by steve miller on October 10, 2018 at 10:00am — 5 Comments

Are you buying an apartment? How to hack competition in the real estate market with data monitoring

In the last couple of years, real estate companies have shifted their focus to the digital world, and now almost all investments have an online system showing what apartments are available. This is very convenient for their potential clients, as they can easily become familiar with the apartments on offer. Things become interesting when all available data is monitored on a weekly basis, and sales progress is analysed.

Why is this so important? As sales…

Added by Michał Frącek on October 11, 2018 at 1:30am — No Comments

Reinforcement Learning: Super Mario, AlphaGo and beyond

Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a labelled dataset. This means we already have data from which to develop models using algorithms such as Linear Regression, Logistic Regression, and others. With this model, we can make further predictions like given data on housing prices, what will the cost of a house with a given set of features…


Added by Divya Singh on October 10, 2018 at 7:37am — No Comments

88 Resources & Tools to Become a Data Scientist

Harvard Business Review has regareded data scientist as the sexiest job of the 21st century. In this article, with the assistance of Octoparse V7, we aggregated the resources and tools that you may need to become a data scientist.



Added by Paul Black on October 9, 2018 at 5:30pm — 1 Comment

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

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