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Featured Blog Posts – July 2019 Archive (84)

US Arrests: Hierarchical Clustering using DIANA and AGNES

Introduction

Data Science and Machine Learning are furtive, they go un-noticed but are present in all ways possible and everywhere. They contribute significantly in all the fields they are applied and leave us with evidence which we can rely on and take data-driven directions. Today, a very interesting area we are going to see an example of Data Science and Machine Learning is ‘Crimes’. We are going to focus on types of crimes taken place across…

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Added by Neeraj on July 25, 2019 at 7:30am — No Comments

Boosting Trading Models with Sagemaker and Essentia

Building accurate models takes a great deal of time, resources, and technical ability. The biggest challenge? You almost never know what model or feature combination will end…

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Added by Benjamin Waxer on July 25, 2019 at 4:12am — No Comments

Comparing Model Evaluation Techniques Part 3: Regression Models

In my previous posts, I compared model evaluation techniques using Statistical Tools & Tests and commonly used Classification and Clustering evaluation techniques

In this post, I'll take a look at how you can compare regression models. Comparing…

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Added by Stephanie Glen on July 24, 2019 at 3:00pm — No Comments

The missing link for IoT - the Cloud

 

Introduction

 

IoT (Internet of Things) has not quite taken off yet as envisaged -  Will the cloud overcome the shortcomings of IoT? I believe that the Cloud is the missing link that enables IoT to create a critical mass towards deployment.

 

The vision outlined here is part of my forthcoming book on Data Science…

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Added by ajit jaokar on July 23, 2019 at 1:07pm — 2 Comments

Logisitic Regression

Logistic Regression is a statistical approach which is used for the classification problems. In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be combined to model several classes of events such as determining whether an image contains a cat, dog, lion, etc… Each object is detected in the image would be assigned a probability between 0 and 1 and the sum…

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Added by Suresh on July 23, 2019 at 5:30am — No Comments

Statistical Hypothesis Testing – Spinning The Wheel

Knowing when and how to choose the right statistical hypothesis test is no mean feat. It can takes years of learning and practice before you get comfortable with it.

Fortunately, there are ways to shortcut this by having a process, a strategy and a nice, big diagram!

Here I'm going to give you all three!

​Getting…

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Added by Lee Baker on July 23, 2019 at 3:30am — No Comments

How Can Python Help Solve Machine Learning Challenges?

Summary: Python’s open-source and high-level nature, as well as its comprehensive libraries, make it the perfect fit to solve the numerous real-life ML challenges.

The increasing popularity and accessibility of Artificial Intelligence solutions is rapidly reshaping many industries, from healthcare through finance to aviation. Although the application of the latest technologies has always been an essential consideration for companies striving to get…

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Added by Łukasz Grzybowski on July 23, 2019 at 1:30am — No Comments

Is Your Data Ready for AI?

Companies are champing at the bit to introduce any solution that promises Artificial Intelligence and Machine Learning. But hasty adoption is leaving one important question unanswered.
 
Is your data ready for AI? …
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Added by Lewis Wynne-Jones on July 22, 2019 at 8:00am — No Comments

Measuring Progress Toward AGI Is Hard

Summary:  Artificial General Intelligence (AGI) is still a ways off in the future but surprisingly there’s been very little conversation about how to measure if we’re getting close.  This article reviews a proposal to benchmark existing AIs against animal capabilities in an Animal-AI Olympics.  It’s a real thing and just now accepting entrants.

 …

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Added by William Vorhies on July 22, 2019 at 7:33am — No Comments

How Data Science can transform the face, body & functioning of Logistics

Data is the new fuel- it drives businesses towards exponential growths. It has the power to transform operational and add intelligent insights with its immense potential. The key, however, lies with understanding data and its insights.

Logistics, like other domains, can also leverage from the several advantages of data. It all begins with what to do with the collected data. Data Science will come into the picture with its amalgamation of statistical &…

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Added by Bhushan Patil on July 21, 2019 at 8:37pm — No Comments

Comparing Model Evaluation Techniques Part 2: Classification and Clustering

In part 1, I compared a few model evaluation techniques that fall under the umbrella of 'general statistical tools and tests'. Here in Part 2 I compare three of the more popular model evaluation techniques for classification and clustering: confusion matrix, gain and…

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Added by Stephanie Glen on July 21, 2019 at 9:30am — No Comments

Weekly Digest, July 22

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.  

Announcement

  • Join us this…
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Added by Vincent Granville on July 21, 2019 at 8:00am — No Comments

Linear and logistic regression in Excel and R: try this free add-in (RegressIt)

Excel is often poorly regarded as a platform for regression analysis. The regression add-in in its Analysis Toolpak has not changed since it was introduced in 1995, and it was a flawed design even back then.  (See this link for a discussion.)    That’s unfortunate, because an Excel file can be a very good place in which to build regression models, compare and refine them, create…

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Added by Robert Nau on July 21, 2019 at 7:00am — 1 Comment

Visualizing and Animating Optimization Algorithms with Matplotlib

This article was written by Louis Tiao.

 

In this series of notebooks, we demonstrate some useful patterns and recipes for visualizing animating optimization algorithms using Matplotlib.

 …

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Added by Andrea Manero-Bastin on July 19, 2019 at 10:30pm — No Comments

Let's Add Coding to Writing in Mathematics

One of my most memorable experiences during my college years was having an English professor who spoke entirely in complete sentences.There were no spoken sentence fragments, dangling thoughts or misuse of adjectives, verbs or nouns. When I first met him, I was stunned at his level of commitment to this principle. I often wondered how challenging this must be for him and whether or not the…

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Added by Richard Charles, PhD on July 19, 2019 at 6:00pm — No Comments

Value Chains vs Network…Make Way for Co-creation Business Models

 Before I kick off this new blog, I’m happy to announce the release of my 3rd book” "The Art of Thinking Like A Data Scientist”. This book is designed to be a workbook – a pragmatic tool that you can use to help your organization leverage data and analytics to power your business and operational models. The book is jammed with templates, worksheets, examples and…

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Added by Bill Schmarzo on July 19, 2019 at 12:58pm — No Comments

Streamlining Predictive Modeling Workflow with Sagemaker and Essentia

Ecommerce sites generate tons of web server log data which can provide valuable insights through analysis. For example, if we know which users are more likely to buy a product, we can perform targeted marketing, improve relevant product placement on our site and lift conversion rates. However, raw web logs are often enormous and messy so preparing the data to train a predictive model is time consuming for data scientists.…

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Added by Ayumi Owada on July 18, 2019 at 2:00pm — No Comments

Building Neural Network in Keras

A neural network is a series of algorithms that aims to identify underlying relationships in a set of data through a process that is similar to the way the human brain functions.

Keras is an open-source library written in Python for advancing and evaluating deep learning models. It enables you to define and train neural network models in a few lines of code. In this post, we will learn how to build a neural network using…

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Added by Packt Publishing on July 18, 2019 at 3:00am — No Comments

Free book: The #dataengineering cookbook by Andreas Kretz

 

 

I found an interesting, free book which is still a work in progress book – The Data Engineering Cookbook

 

I will be contributing through the author (Andreas Kretz.com) patreon site : (…

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Added by ajit jaokar on July 17, 2019 at 11:00am — No Comments

R, without all that pesky code!

Those of us who were data science practitioners before the ubiquity of buzz words like “Fourth Industrial Revolution”, remember a time when data science was being described as “utter hubris” by some of the worlds leading quants. All these buzz words, coupled with misplaced applications of data science have turned it into a fairly nebulous concept. Which is a problem.



In facilitating my data science workshops I've realized there are two main groups of audiences and learners.…

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Added by Mkhuseli Mthukwane on July 17, 2019 at 1:00am — 2 Comments

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