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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: Association Rule Mining

Users who bought this… Also bought this…‘, I consider this as the statement of this generation. There is not a single shopping application not showcasing this feature to gain more from the buyers. This rule is another by-product of Machine Learning. We humans always look for more similar things which we like for example if a reader starts to like a book of the specific genre say ‘biography’ he/she is leaned towards having more such similar books. And this is what we call…

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Added by Neeraj on June 13, 2019 at 8:38am — No Comments

Machine Learning : Unsupervised – k-means Clustering and Bootstrapping

This article is in continuation to our previous topic ‘Unsupervised Machine Learning’. Today I’m giving you another powerful tool on this topic named ‘k means Clustering‘. The work in this article is on the continuation of the previous WHO data set featured in ‘Machine Learning: Unsupervised – Hierarchical Clustering and Bootstrapping’. This artifact demonstrates implementing k means clustering and bootstrapping to make sure that the algorithm and clusters formed stand true.…

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Added by Neeraj on June 13, 2019 at 8:37am — 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

33 Statistical Concepts Explained in Simple English - Part 14

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 3:00pm — No Comments

How to Lie with P-values

P-values are used in statistics and scientific publications, much less so in machine learning applications where re-sampling techniques are favored and easy to implement today thanks to modern computing power. In some sense, p-values are a relic from old times, when computing power was limited and mathematical / theoretical formulas were favored and easier to deal with than lengthy computations.

Recently, p-values have been criticized and even banned by some…

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Added by Vincent Granville on June 11, 2019 at 7:30am — No Comments

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