Machine Learning

5 Reasons a Retailer Needs StagedPay

StagedPay

Every merchant that accepts credit card payments runs the risk of embarrassing and costly data breaches, as well as the high cost of being PCI compliant. While some industries, such as retail, hospitality, and food service, are particularly vulnerable to payment system breaches, every business that processes and stores its customers’ payment information is at…

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Implementing Machine Learning Algorithms in Octave

Programming-Octave

Experimenting With ML in Octave Before moving on to how to use machine learning (ML) to solve classification problems (sometimes also called selection problems), let’s take some time to implement one of the algorithms we reviewed previously. We’ll be using GNU Octave to implement the various algorithms we discuss in this blog. Octave is a…

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Machine Learning Math: Understanding Classification Problems

classification problem

In our previous blog posts, we covered regression problems where we’re trying to predict the value of our target function. In regression problems, our target function is a real-valued function, and we’re trying to compute a real number that estimates its value at given data points. In the next couple of posts, we’ll cover classification problems,…

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Improve Customer Service With Automated Chat and Machine Learning

Research from the global consulting company Gartner shows that by 2020, chatbots and other automated solutions will handle 85% of customer service interactions. Companies are transitioning to automated customer service for many reasons. For example, it offers faster response times, can predict customer service issues, and is increasingly cost-effective. Additionally, when coupled with artificial intelligence…

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The Role of Error Functions in Machine Learning

Defining Error Functions in Machine Learning Algorithms In our last blog post on machine learning and mathematics, we defined an error function as follows: Next, we found a w that minimizes this error function, and we used that w to define our linear function that approximates our target function: g(x) = w ⋅ x It…

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Why Do AI and Machine Learning Matter for My Business?

  Machine learning has an enormous range of applications, and many of them already show up in our daily lives. When a dating app matches you with a potential partner, when a search engine suggests alternate search terms, or when an online shopping site recommends products based on your past purchases, machine learning is at…

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The Detailed Math Behind a Supervised Learning Algorithm

Effective Machine Learning Programming Requires Advanced Mathematics, Proven Experience, Creative Problem Solving, and More. To understand the detailed mathematics behind machine learning algorithms, you need to be familiar with a few core concepts related to: Linear algebra Vectors Matrix multiplication Determining the trace, determinant, and transpose of matrices. Calculus If you’ve taken undergraduate courses covering…

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Machine Learning Paradigms: Supervised, Unsupervised, and Reinforcement Learning

Machine learning can be applied to almost any problem, and it has been used to detect cancer, predict traffic patterns, match people up for dating, recognize faces (and facial expressions), caption images, and much, much more. Depending on the unique problem at hand, different machine learning techniques are used to deliver an effective solution. Below,…

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How Machine Learning Works: A Mathematical and Visual Analysis

The Purpose of Machine Learning: Approximating a Function Machine learning techniques help software developers build customized solutions that drive significant business value. The fundamental goal of machine learning is to approximate a function that we, as software engineers, don’t know how to implement based on the available data and information. RELATED ARTICLE: How Software Is…

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