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All Blog Posts Tagged 'Learning' (172)

Credit Card Fraud Detection and Prevention: The Complete Guide

Ever since the payment systems existed, there were always people who would find sophisticated ways to get to someone’s finances illegally. It has become a major problem in the modern era when all transactions can easily be completed online with only entering your credit card information. Even in the 2010s quite a lot of American retail website…

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Added by Roman Chuprina on November 4, 2019 at 3:00am — No Comments

Top 6 AI Companies to Start Your ML Project

There are a lot of AI Companies that offer Machine Learning development. Even choosing the right ones for your project could take a decent amount of time, not even mentioning to pick the one that fits.

We decided to help CEOs, established companies, and startups that are looking for AI & ML Developer to save time…

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Added by Roman Chuprina on October 7, 2019 at 2:36am — 1 Comment

Fashion and Technology: How Deep Learning Can Create an Added Value in Retail

Today, more and more retail companies understand that to stay ahead of the curve, they need to reshape their businesses, implementing tech-forward approaches and solutions. Data mining and analysis are key to making a shift.

According to McKinsey, data-savvy retailers have the potential to increase…

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Added by Olha Zhydik on September 23, 2019 at 3:30am — 1 Comment

Boosting your Machine Learning productivity with SAS Viya

By Stefan Stoyanov, Business Analytics & Research Intern at Boemska

I started my MSc Business Analytics course at theh University of Surrey almost one year ago. I had no prior experience in Machine Learning or data science. Before, I used to develop and manage EU projects…

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Added by Stefan Stoyanov on September 17, 2019 at 4:30am — No Comments

7 Facts That Nobody Told You About Artificial Intelligence

In 1956, American Computer specialist John McCarthy created the Dartmouth Conference, at which the term Artificial Intelligence was first adopted. Researchers Allen Newell and Herbert Simon were instrumental in propelling AI as a field of software engineering that could…

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Added by Arjun Raghu on August 23, 2019 at 2:00am — No Comments

Machine Learning on Mobile: An On-device Inference App for Skin Cancer Detection

Mobile health (mHealth) is considered one of the most transformative drivers for health informatics delivery of ubiquitous medical applications. Machine learning has proven to be a powerful tool in classifying medical images for detecting various diseases. However, supervised machine learning requires a large amount of data to train the model, whose storage and processing pose considerable system requirements challenges for mobile applications. Therefore, many studies focus on…

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Added by AI on August 16, 2019 at 6:00am — No Comments

The tools you should know for the Machine Learning projects

I have been frequently asked about the tools for the Machine Learnign projects There are lot of them on the market so in my newest post you will find my view on them. I would like to start my first Machine Learning project. But I do not have tools. What should I do? What are the tools I could use?

I will give you some hints and advices based on the toolbox I use. Of course there are more great tools but you should pick the ones you like. You should also use the tools that make your…

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Added by Damian Widera on July 29, 2019 at 7:30pm — No Comments

What does the Machine Learning process look like?

I have mentioned that every Machine Learning process is built from several steps like:

  • what would you like to achieve (define the goal)
  • prepare the data
  • select an algorithm(s)
  • build and train the model
  • test the model (and score it)

Let’s review them one by one. I should mention that you will be able to find information over the internet that the number of steps is different from what you see on this blog. For example you can…

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Added by Damian Widera on July 29, 2019 at 7:30pm — No Comments

Introduction to Machine Learning

What is Machine Learning? This story started in mid 60 in the last century. Scientists and engineers found a lot of problems that were too complicated for traditional algorithms that it was not possible to create a program that could have possibly solved the problem.

Imagine a case where you have an object that is descirbed by 21 properties (as an input) and based on these properties you need to classify it to group A or to the group B. How would you solve the problem? Would you need…

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Added by Damian Widera on July 29, 2019 at 7:30pm — 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 Priyank Soni on June 13, 2019 at 7:30pm — 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

3 Types of Machine Learning in AI

When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence

Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…

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Added by Mahesh Kumar CV on May 5, 2019 at 1:00am — No Comments

The Anatomy of K-means

A complete guide to K-means clustering algorithm



Let’s say…

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Added by Diego Lopez Yse on April 30, 2019 at 2:17pm — No Comments

The Complete Guide to Decision Trees

Everything you need to know about a top algorithm in Machine Learning

In the…

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Added by Diego Lopez Yse on April 30, 2019 at 2:00pm — 3 Comments

Building machine learning models in Apache Spark using SCALA in 6 steps

Introduction:

When dealing with building machine learning models, Data scientists spend most of the time on 2 main tasks when building machine learning models

Pre-processing and Cleaning

The major portion of time goes in to collecting, understanding, and analysing, cleaning the data and then building features. All the above steps mentioned are very important and critical to build successful machine learning…

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Added by Rohit Walimbe on April 21, 2019 at 9:00pm — 1 Comment

How to use anomaly detection to seal revenue leakages due to price errors

Price errors and their impact:



Price errors are one of the ways in which revenue leakage occurs in e-commerce business. Although retailers put various checks and balances in place, pricing errors are still common. Data entry mistakes, misplaced decimal points, reversal of digits, and other clerical errors made in hurry are the major contributors. It can also occur because errors in feeding promotional offer dates. Promotions might unintendedly start early or end late. Such revenue…

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Added by Avinash Udaykumar on March 26, 2019 at 7:57pm — No Comments

What is Automated Machine Learning (AutoML)?

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

With the right tools, today’s average business user can become a Citizen Data Scientist, using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as…

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Added by Kartik Patel on March 13, 2019 at 3:00am — 3 Comments

[New] Handbook of Deep Learning Applications (Springer)

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artifacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique…

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Added by Sanjiban Sekhar Roy on March 1, 2019 at 11:30pm — No Comments

Advanced Analytic Platforms – Incumbents Fall – Challengers Rise

Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard.  Some major incumbents have fallen and some new challengers have emerged.

 

The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard.  Say what you will about our profession but as a platform developer you…

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Added by William Vorhies on February 4, 2019 at 9:30am — 2 Comments

Stocks, Significance Testing & p-Hacking: How volatile is volatile?

October is historically the most volatile month for stocks, but is this a persistent signal or just noise in the data?

Stocks, Significance Testing & p-Hacking. Follow me on Twitter (twitter.com/pdquant) for more. Over the past 32 years, October has been the most volatile month on average for the S&P500 and December the least, in this article we will use simulation to assess the…

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Added by Patrick David on January 18, 2019 at 5:30am — No Comments

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