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Featured Blog Posts – August 2019 Archive (58)

Object Detection with 10 lines of code

This article was written by Moses Olafenwa.

One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of computers and software systems that can recognize and understand images and scenes. Computer Vision is also composed of various aspects such…

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Added by Andrea Manero-Bastin on August 31, 2019 at 10:30am — 1 Comment

Can an ethical and algorithmically transparent cloud kitchen prevent future Amazon fires?

Can an ethical and algorithmically transparent cloud kitchen prevent future Amazon fires?

 

We often view AI with suspicion – but AI can be used to solve complex problems currently facing society where innovative approaches are needed

 

For many of us, the Amazon fires are disturbing and a…

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Added by ajit jaokar on August 31, 2019 at 5:14am — No Comments

You Had an Ongoing Data Breach for Months. How Could You Not Know?

When Anthem first announced the breach of 80 million of its records, FBI spokespersons credited Anthem with responding only weeks after the attack started.

Soon after, Brian Krebs, who blogs at KrebsOnSecurity, uncovered evidence that the attack might have started much earlier.

Why does it take so long for companies like Anthem to discover data breaches in progress and even longer to tell consumers?

Although the answer to that question remains complicated, one truth is…

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Added by Robert Dale on August 30, 2019 at 12:30am — No Comments

Extreme Events Modeling Using Continued Fractions

Continued fractions are usually considered as a beautiful, curious mathematical topic, but with applications mostly theoretical and limited to math and number theory. Here we show how it can be used in applied business and economics contexts, leveraging the mathematical theory developed for continued fraction, to model and explain natural phenomena. 

The interest in this project started when analyzing sequences such as x(n) = { nq } = nq -…

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Added by Vincent Granville on August 29, 2019 at 7:30am — 4 Comments

What is Explainable AI and Why is it Needed?

Imagine an advanced fighter aircraft is patrolling a hostile conflict area and a bogie suddenly appears on radar accelerating aggressively at them. The pilot, with the assistance of an Artificial Intelligence co-pilot, has a fraction of a second to decide what action to take – ignore, avoid, flee, bluff, or attack.  The costs associated with False Positive and False Negative are substantial – a wrong decision that could potentially provoke a war or lead to the death…

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Added by Bill Schmarzo on August 29, 2019 at 5:52am — No Comments

Building new worlds with data science

 By the time I graduated university four years ago, I  sensed that maybe I had missed out on something by not fitting any computer science or coding courses into my schedule. 

Computer Science: two words that still held every ounce of mystery when I received my diploma as they had when I first met a few of the guys who lived down…

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Added by Zach Zazueta on August 29, 2019 at 1:54am — No Comments

5 Tips for Making Better Business Decisions

Today’s business environment is as competitive as ever. With digital and brick-and-mortar businesses coalescing to create a comprehensive ecosystem of goods and services, differentiation can be difficult.

Efficiency and accuracy are becoming the drivers of success.

To put it simply, making the right business…

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Added by Evan Morris on August 27, 2019 at 8:00pm — No Comments

One Way vs Two Way ANOVA + Factorial ANOVA: A Comparison in one Picture

ANOVA is a test to see if there are differences between groups. Put simply, "One-way" or "two-way" refers to the number of independent variables (IVs) in your test. However, there are other subtle differences between the tests, and the more general factorial ANOVA. This picture sums up the differences.…

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Added by Stephanie Glen on August 27, 2019 at 9:21am — No Comments

IoT Has Redefined Hospitality. Learn How!

In the world of techies, Internet of Things (IoT) is a thrilling topic. In our everyday lives, we can witness several objects that communicate with us according to our comfort. For example, thermostats or security systems communicate with us automatically. In fact, in the current world, IoT is the new reality. Different industries are becoming stronger with IoT solutions and the hospitality sector is no exception.…

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Added by Sanjeev Verma on August 27, 2019 at 1:00am — No Comments

Drive Better Outcomes by Combining the Strengths of Data and CX

At first glance, data science and customer experience (CX) don’t have much in common.

Data scientists like me are typical left-brained thinkers: detail-oriented, logical and quantitative. We want to study, process and analyze data to extract insights from it. Customer experience experts, on the other hand, gravitate toward a more intuitive and creative…

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Added by Aaron Burciaga on August 26, 2019 at 3:40pm — No Comments

The AI Edge Engineer: Extending the power of CI/CD to Edge devices using containers

The AI Edge Engineer: Extending the power of CI/CD to Edge devices using containers

Background

At the Artificial Intelligence – Cloud and Edge implementations course – I have been exploring the idea of extending CI/CD to Edge devices using containers. In this post, I present these ideas under the framework of the ‘AI Edge…

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Added by ajit jaokar on August 26, 2019 at 12:23pm — No Comments

Using Data Science to Impact Healthcare

Data science has become such a part of everyday life that it is easy to lose sight of how this technology can assist entire industries in very significant ways. Healthcare is a prime example. When applied strategically, data science has the potential to profoundly influence healthcare delivery from both an operations and clinical perspective.

Clinical Applications of Data Science 

Diagnostic applications, such as reading imaging scans or pathology reports, are…

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Added by Mohan Giridharadas on August 26, 2019 at 11:42am — No Comments

Weekly Digest, August 26

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. To subscribe, follow this link.  

Announcements…

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Added by Vincent Granville on August 25, 2019 at 6:30am — No Comments

Descriptive vs. Inferential Statistics in One Picture

This simple picture shows the differences between descriptive statistics and Inferential statistics. 

More information about Descriptive and Inferential Statistics:

What is "Descriptive…

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Added by Stephanie Glen on August 24, 2019 at 7:32am — No Comments

A Strange Family of Statistical Distributions

I introduce here a family of very peculiar statistical distributions governed by two parameters: p, a real number in [0, 1], and b, an integer > 1. These distributions were discovered by solving the following functional equation, corresponding to b = 2. 

Here f(x) is the density attached to that…

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Added by Vincent Granville on August 23, 2019 at 10:30am — No Comments

Untapped Economic Assets? How to Monetize Your Dark Data

What if you had a corporate asset that was never used?  Your first response might be that corporate asset obviously has no value.  And you’d probably be right. However, there are costs – acquisition costs, maintenance costs, storage costs, depreciation costs, salvage costs – associated with all assets. So, to incur all of those costs and then not do anything with that asset would be fiduciary negligence at its worse. 

Welcome to the world of dark…

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Added by Bill Schmarzo on August 23, 2019 at 4:49am — No Comments

Julia vs R: Freeing the data scientist mind from the curse of vectoRization

Nowadays, most data scientists use either Python or R as their main programming language. That was also my case until I met Julia earlier this year. Julia promises performance comparable to statically typed compiled languages (like C) while keeping the rapid development features of interpreted languages (like Python, R or Matlab). This performance is achieved by just-in-time (JIT) compilation. Instead of interpreting code, Julia compiles code in runtime. While JIT compilation has…

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Added by Daniel Moura on August 22, 2019 at 1:00pm — No Comments

Tech Talk with Rowel Atienza: Is Keras the Perfect Deep Learning Library in Python?

Keras [Chollet, François. "Keras (2015)." (2017)] is a popular deep learning library with over 250,000 developers at the time of writing, and over 600 active contributors. This library is dedicated to accelerating the implementation of deep learning models. This makes Keras ideal when we want to be practical and hands-on.

Keras enables us to build and train models efficiently. In the library, layers are connected…

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Added by Packt Publishing on August 22, 2019 at 1:36am — No Comments

Three-way data splits (training, test and validation) for model selection and performance estimation

The use of training, validation and test datasets is common but not easily understood. 

 

In this post, I attempt to clarify this concept. The post is part of my forthcoming book on learning Artificial Intelligence, Machine Learning and Deep Learning based on high school maths.  If you want to know more about the book, please follow me on Linkedin Ajit Jaokar

 

Background

Jason…

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Added by ajit jaokar on August 20, 2019 at 1:58pm — No Comments

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