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Featured Blog Posts – October 2018 Archive (83)

Ethics in Artificial Intelligence

Ethics in machine learning are what comes to mind when we imagine a worst case scenario in the context of artificial intelligence. As an example, we can think of HAL 9000 from ‘2001: A Space Odyssey’ and Skynet from the ‘Terminator’ films or more recently Ultron from the ‘Avengers’. Sadly, the main thinking behind most of the depicted self aware artificial…

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Added by Youness ECHCHADI on October 20, 2018 at 10:30am — No Comments

Embracing Conflict to Fuel Digital Innovation

When talking to clients about their business goals, most business executives are pretty clear as to what they want to accomplish, such as reducing customer churn or reducing inventory costs or improving quality of care or improving product line profitability.  But these “one dimensional” business initiatives really don’t push the organization’s innovative thinking.  For example, I can easily reduce marketing costs if I significantly reduce advertising and…

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Added by Bill Schmarzo on October 20, 2018 at 4:03am — No Comments

AlexNet Implementation Using Keras

Introduction:

Alex Krizhevsky, Geoffrey Hinton and Ilya Sutskever created a neural network architecture called ‘AlexNet’ and won Image Classification Challenge (ILSVRC) in 2012. They trained their network on 1.2 million high-resolution images into 1000…

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Added by Muhammad Rizwan on October 18, 2018 at 10:19am — No Comments

How to Write an R Function to Match and Merge 2 Files (like VLOOKUP)

Matching and merging 2 files is task I find myself doing all of the time. Historically, I've used VLOOKUP in MS Excel and just worked around any limitations. Finally, I bit the bullet and wrote an R Function that does the trick faster, and with more flexibility. 

(Image added…

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Added by Ray Hall on October 18, 2018 at 9:30am — No Comments

R vs Python: Usability, Popularity, Pros & Cons, Jobs, and Salaries

This article was written by Tanmoy Ray

If you are a senior data scientist or pro in predictive analytics, you would probably be using both R & Python, and maybe other tools like SAS, SQL etc. But, what if you are a beginner or just thinking about to start a career in data science, machine learning, and business analytics ? Which one should you learn – R or Python? It has…

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Added by Andrea Manero-Bastin on October 17, 2018 at 5:00pm — 1 Comment

The Rise of Artificial Intelligence in Enterprise

Depending on what news headline you have read, you may have perceived an Artificial Intelligence (AI) system as either an Alexa or Siri assistant that understands all your commands, a deep learning system that can recognize dog or a cat from image, a system that recommends personalized medicine, or an intelligent, overpowering machine that can overtake all human tasks and render humans useless. Few of these definitions can be termed as …

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Added by Vimal N Suba on October 17, 2018 at 2:53pm — No Comments

Data-driven Marketing Strategy: Spatial Analytics for Micro-marketing

Organizations, often in their me-too hurry to adopt a new technology, just pour their old-wine (data) into a new bottle. What was originally called ‘sales-information-system’ in the good-old-days underwent many avatars before it became BI (business intelligence) and then off-late, it is time to switch again. The latest avatar is called Data-Visualization-Tool, and every CIO…

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Added by Krishna Pera on October 17, 2018 at 10:00am — No Comments

Business Analysis (BA) Career Path

More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, career opportunities in analytics are around every corner. Due to this identifying analytics talent has become a priority for companies in nearly every industry, from healthcare, finance, and telecommunications to retail, energy, and sports.

In this blog, we will be talking about different career paths and option in the…

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Added by Divya Singh on October 17, 2018 at 6:30am — No Comments

Why Is Data Science Different than Software Development?  It Starts with Data…Lots o’ DATA!!

Data science development is very different from software development, and getting the two to mesh is sometimes like trying to cobble together Tinker Toys with Lincoln Logs.  One data science expert once described the differences as:

Software development is “Measure twice; cut once,” while Data Science is “Cut, cut, cut!”

The methodologies and processes that support successful software development do not work for data science projects according to one…

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Added by Bill Schmarzo on October 17, 2018 at 4:23am — No Comments

Expert Insight Book on Machine Learning

Python Machine Learning - Second Edition by Sebastian Raschka & Vahid Mirjalili

The first edition of this book, is a balance of classical ideas and modern insights into…

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Added by Packt Publishing on October 17, 2018 at 12:56am — No Comments

11 Great Articles about Stochastic Processes and Related Topics

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,…

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Added by Vincent Granville on October 16, 2018 at 7:00pm — No Comments

LeNet-5 - A Classic CNN Architecture

Yann LeCun, Leon Bottou, Yosuha Bengio and Patrick Haffner proposed a neural network architecture for handwritten and machine-printed character recognition in 1990’s which they called LeNet-5. The architecture is straightforward and simple to understand that’s why it is mostly used as a first step for teaching Convolutional Neural…

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Added by Muhammad Rizwan on October 16, 2018 at 4:33pm — No Comments

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.

 

If you’re a CEO or any other flavor of top executive leading a…

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Added by William Vorhies on October 15, 2018 at 2:33pm — 2 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 data
  • Check for anomalies, missing data and clean the…
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Added by ajit jaokar on October 15, 2018 at 11:30am — 7 Comments

Everything You Need to Know About Convolutional Neural Networks

Convolutional neural network – In this article, we will explore our intuitive explanation of convolutional neural networks (CNNs) on high level. CNN are inspired by the structure of the brain but our focus will not be on neural science in here as we do not specialise in any biological aspect. We are going artificial in this post.

Convolutional Neural Networks are a special kind of multi-layer neural networks.

What…

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Added by Vinod Sharma on October 15, 2018 at 4:00am — No Comments

Social Complacency Model of Personal Privacy – The Faulty Discourse

Something I learned during my graduate studies is that jails – like the old Don Jail as it once existed in Toronto (photographed by me above) – has special significance among those that study the history of people with disabilities.  For one thing, there are many people with disabilities in jail – sometimes placed there because…

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Added by Don Philip Faithful on October 14, 2018 at 9:03am — 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.

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



    Verizon is looking for Analysts who can use their technical and sales…
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Added by Vincent Granville on October 14, 2018 at 6:00am — 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,…

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Added by Vik Kumar on October 13, 2018 at 11:55am — 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)?…

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Added by L.V. on October 11, 2018 at 6:00pm — No 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…
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Added by Michał Frącek on October 11, 2018 at 1:30am — No Comments

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