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Automated Machine Learning (AML) Comes of Age - Almost

Summary:  Forrester has just released its “New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019” report on leading stand-alone automated machine learning platforms.  This is our first good side-by-side comparison.  You might also want to consider some who were not included.

 

You know you’ve come…

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Added by William Vorhies on June 17, 2019 at 8:49am — No Comments

Can design sprints work for Artificial Intelligence applications?

Can design sprints work for Artificial Intelligence applications?

Last week, for the first time, I attended a meetup on Design Sprints( The Design Sprint Underground)

I had heard of Design sprints from Google – but I am not an expert. The organiser, Eran, created…

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Added by ajit jaokar on June 16, 2019 at 11:04am — 1 Comment

Data Science Central Monday Digest, June 17

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

  • According…
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Added by Vincent Granville on June 15, 2019 at 2:00pm — No Comments

Assumptions of Linear Regression in One Picture

If any of the main assumptions of linear regression are violated, any results or forecasts that you glean from your data will be extremely biased, inefficient or misleading. Navigating all of the different assumptions and recommendations to identify the assumption can be overwhelming (for example, normality has more than half a dozen options for testing).
This image highlights the assumptions and the most common testing options.…
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Added by Stephanie Glen on June 15, 2019 at 7:53am — No Comments

Why is Data Curation Important for Big Data Industry

Introduction

Big data is the buzzword today, isn’t it?

We live in the golden age of what…

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Added by Hiren patel on June 14, 2019 at 7:42pm — No Comments

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

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

In this post, we use the Perceptron algorithm to bridge the gap between high school maths and deep learning. Welcome comments

 

Background

As part of my role as course director of the Artificial Intelligence: Cloud and Edge Computing at the University of…

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Added by ajit jaokar on June 14, 2019 at 12:33pm — No Comments

What Is Big Data And What Are Its Importance

Big Brother? No, no, no, Big Data.

If someone tells you about the Big Data concept in the course of a conversation, do not think that your interlocutor is addicted to the programs of reality TV (a term used by your audience) or trash (as you like to call your detractors). Although it sounds similar, that's the Big Brother. Although in the background and tangentially, you can find certain similarities, or relationships, between the television phenomenon Big Brother and the latest…

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Added by Ricky Brown on June 14, 2019 at 3:14am — No Comments

Benefits of Employing an IoT Based Mobile Application

The only way of surviving in the market is to continuously transform from an older strategy to a new strategy. It is this transformation that leads the company to another level and can be called an innovative company. Technology has manifested to be the most innovative part of the…

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Added by Smith Johnson on June 14, 2019 at 2:26am — No Comments

What is Quantum Computing and How is it Useful for Artificial Intelligence?

Introduction

After decades of a heavy slog with no promise of success, quantum computing is suddenly buzzing! Nearly two years ago, IBM made a quantum computer available to the world. The 5-quantum-bit (qubit) resource they now call the IBM Q experience. It was more like a toy for researchers than a way of getting any serious number crunching done. But 70,000 users worldwide have registered for it, and the qubit count in this…

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Added by Divya Singh on June 13, 2019 at 8:00pm — No Comments

How big businesses are using AI to be on the top of the table?

As we all know that artificial Intelligence is slowly slowly becoming the most important and most integral part for the small to big businesses. It helps the business from the purchase of a product or manufactures the products to deliver the product to the client or customers. Here we have come with a small analysis of big business Company named coca…

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Added by Coren Lay on June 13, 2019 at 7:30pm — No Comments

Data Science Central Thursday News, June 13

This is our selection of featured articles and resources posted since Monday:

Technical Resources

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Added by Vincent Granville on June 13, 2019 at 11:30am — No Comments

Machine Learning : Unsupervised – Hierarchical Clustering and Bootstrapping

Preface

This article is based on Unsupervised Learning algorithm: Hierarchical Clustering. This is the brief illustration with a practical working example of forming unsupervised hierarchical clusters and testing them to assure that you have formed the right clusters. This is a real-life data world example which can be studied and evaluated as data is provided for personal use and practice. There are variations to each topic in data science but there is a brief basic pattern…

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Added by Neeraj on June 13, 2019 at 8:36am — No Comments

How Cloud Computing Technology Helps in Big Data Analysis?

Do you know that the global business community will be spending $310 billion on the Internet of Things (IoT) by 2020?

 

Isn’t it a huge investment! Why is this trend booming?  

 

Actually, the IoT has encapsulated devices. The software, sensors, actuators and connectivity through vehicles and home appliances are penetrating deeply. This networking model is skyrocketing in almost every walk of life. That’s why small entrepreneurs to big industrialists are hungry…

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Added by Moses Vandenberg on June 13, 2019 at 5:30am — No Comments

The Recommender Canvas: Everything You Wanted To Know About Recommender System Design & Its Necessity Today

The internet is evolving day by day, and when users shop online, they are flooded with thousands of results, leaving them in a dilemma to choose the best possible product that suits their requirements. Have you ever thought of how Google Ads precisely knew what you need and display…

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Added by Guido van Capelleveen on June 13, 2019 at 2:44am — No Comments

Simplified Logistic Regression

Logistic regression is typically used when the response Y is a probability or a binary value (0 or 1). For instance, the chance for an email message to be spam, based on a number of features such as suspicious keywords or IP address.  In matrix notation, the model can be written as

where X is the observations matrix,…

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Added by Vincent Granville on June 12, 2019 at 9:00am — No Comments

Optimal Allocation of Ambulances

Our client was an Emergency Response Management organization who handles medical, police and fire emergencies through the " 1-0-8 Emergency service". Currently the organization runs around 690 ambulances. An analysis is run on historic data extracted from client's management database. The live data input is fed to a simulation model to propose an optimal ambulance allocation providing an opportunity of cost reduction for the organization.

In probability theory and statistics, the…

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Added by Dr. Moloy De on June 12, 2019 at 6:51am — No Comments

Impact of IoT on Mobile App Development Industry



Innovation and advancement mean subtracting the obvious things and adding meaningful things. Technology is successfully on this path and is doing wonders. It is very obvious in this era that technology is winning the race in innovation and advancement and has exceeded the humanity. The sectors and trends that are pushing…

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Added by Smith Johnson on June 12, 2019 at 2:49am — No Comments

Enhancing Trading Models with AI

Dramatically improving currency trading models with AI using Keras Deep Learning and PivotBillions.…

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Added by Benjamin Waxer on June 12, 2019 at 1:25am — No Comments

29 Statistical Concepts Explained in Simple English - Part 16

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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Added by Vincent Granville on June 11, 2019 at 3:33pm — No Comments

30 Statistical Concepts Explained in Simple English - Part 15

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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Added by Vincent Granville on June 11, 2019 at 3:16pm — No Comments

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