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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 3:27am — 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 — No Comments

6 Ways Mobility Solutions Can Help Skyrocket Supply Chain Company Revenues

Luxury car manufacturer, BMW in the year 2017 faced production stoppage due to Bosche’s inability to supply steering gears. This issue which lasted for about a week caused the German manufacturer to lose €400-€500m, aside from impacting the production of further models.

This example clearly shows how a small inefficiency in the supply chain can have an overall negative impact on the productivity of organizations. A large number of companies which are a…

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Added by Anuj Tripathi on July 16, 2019 at 10:00pm — No Comments

If not mean-variance finance, then what?

I want to apologize to my small audience for being so long in waiting to post a blog post.  My goal had been one per week, but life intervened in the meantime.  While I have tried to be productive, the blog post fell by the wayside. 

 

I did write a couple of short stories, I must confess.  I wrote How to Engage in Counterespionage Operations Against Ghosts because I grew up watching Sherlock Holmes movies and the Twilight Zone.  I wrote a small set of short stories…

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Added by David Harris on July 16, 2019 at 12:45pm — No Comments

The Case For Modern Microservice Applications: Foxes vs. pigeons vs. groundhogs

When trying to implement informed business solutions, what you see is all there is (WYSIATI), which can result in being “data-nearsighted.” For this reason, it is crucial to have a comprehensive data strategy in order to make better business decisions and implement efficient business solutions…

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Added by Aaron Burciaga on July 16, 2019 at 11:11am — No Comments

5 Reasons You Need a Better Data Management Solution

Congratulations.
It took time, but you’re data-driven. You’ve got data scientists to crunch numbers, a fully stocked data lake, and analysts to make it all make sense. But even with the infrastructure in place, benefiting from data isn’t as easy as flipping a switch. These days, businesses have yet to properly…
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Added by Lewis Wynne-Jones on July 16, 2019 at 5:00am — No Comments

How IoT Is Shaping the Agriculture Sector: Benefits Offered by Latest Trends of IoT



With the changing streams of today's technology, business sectors are gaining various benefits from the latest trends. As the modern world has adopted modern approaches, many sectors have undergone a huge transformation and agriculture is one of them which has got this opportunity to upgrade most of their approaches to…

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Added by Smith Johnson on July 16, 2019 at 2:00am — No Comments

The Mathematics behind Artificial Intelligence and Deep Learning

"The book of nature is written in the language of mathematics!" - Galileo.

Each has their own journey through the deep woods of AI & ML. My own exploration has had many stops and starts, stumbles and falls and change in direction. Along the way I have been picked up and helped along by…

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Added by Jai Sharma on July 15, 2019 at 1:30pm — No Comments

Breast Cancer Classification & Prediction using Neural Networks

Introduction

How often are you in a situation where you have 2 alternatives either yes or a no, black or a white, and so on. These are instances where you ‘classify’ your scenario into only two solutions, a number of solutions may vary but usually, they are two solutions. This is what we call as ‘Classification’ we classify the outcomes in a set number of instances usually two. This week at The Datum we have how can we use Neural Networks as the…

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Added by Neeraj on July 15, 2019 at 9:00am — No Comments

Thinking about Moving Up to Automated Machine Learning (AML)

Summary: Are you wondering about moving up to Automated Machine Learning (AML)?  Here are some considerations to help guide you.

 

Are you wondering about moving up to Automated Machine…

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Added by William Vorhies on July 15, 2019 at 7:30am — No Comments

Live Chat Vs Chatbot: Which Is The Best For Your Business

Establishing and tracking engagement on website pages, giving solution to audience queries, resolving FAQs, and assisting with maintenance is a powerful way for businesses to build relations with existing and potential customers.

To support the customer-brand relationship, there are two big ways…

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Added by Jassjeet Kaur on July 14, 2019 at 9:17pm — No Comments

How to learn the maths of Data Science using your high school maths knowledge - Gradient Descent

This post is a part of my forthcoming book on Mathematical foundations of Data Science.

In the previous blog, we saw how you could use basic high school maths to learn about the workings of data science and artificial intelligence

In this post we extend that idea to learn about Gradient descent

We…

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Added by ajit jaokar on July 14, 2019 at 12:30pm — No Comments

Return of the Thriller “3 Horizons of Digital Transformation”

In “Importance of Thinking Differently…Hint: Don’t Pave the Cow Path”, I introduced the concept of the “3 Horizons of Digital Transformation.”  I wanted to provide a framework that helped organizations differentiate between “Digitalization” versus “Digital Transformation”.  Unfortunately, in succeeding client engagements, I realized I did a crappy job of explaining these 3…

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Added by Bill Schmarzo on July 13, 2019 at 12:25pm — No Comments

Bayesian Machine Learning

Bayesian Machine Learning (part - 3)

 

Bayesian Modelling

In this post we will see the methodology of building  Bayesian models. In my previous post I used a Bayesian model for linear regression. The model looks like:…

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Added by Ashutosh vyas on July 13, 2019 at 3:28am — No Comments

Data Science Central Monday Digest, July 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. To subscribe, follow this…

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Added by Vincent Granville on July 12, 2019 at 6:30am — No Comments

How do I prepare for Data Scientist interviews?

If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…

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Added by Ann Rajaram on July 11, 2019 at 2:52pm — No Comments

Summarizing Economic Bulletin Documents with TF-IDF

A key strength of NLP (natural language processing) is being able to process large amounts of texts and then summarise them to extract meaningful insights.

In this example, a selection of economic bulletins in PDF format from 2018 to 2019 are analysed in order to gauge economic sentiment. The bulletins in question are sourced from the European Central Bank website. tf-idf is used to rank…

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Added by Michael Grogan on July 11, 2019 at 12:28pm — No Comments

Data Science Central Thursday Digest, July 11

Featured selected articles and technical resources posted since Monday.

Technical Resources

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Added by Vincent Granville on July 10, 2019 at 9:30am — No Comments

Machine Learning in Agriculture: Applications and Techniques

Recently we have discussed the emerging concept of smart farming that makes agriculture more efficient and…

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Added by Max Ved on July 10, 2019 at 8:30am — No Comments

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