# Machine Learning

## 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…

Read More## 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…

Read More## 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…

Read More## Gradient Descent Methods Play a Critical Role in Machine Learning — Here’s How They Work

Introducing Gradient Descent, the Core of Most Machine Learning Algorithms In our previous blog post, we provided an in-depth primer on linear algebra concepts and explained how to build a supervised learning algorithm. As part of this discussion, we reviewed linear models where our hypothesis set was composed of linear functions of the form hw(x)…

Read More## 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…

Read More## 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,…

Read More## 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…

Read More## How Software Is Developed Using Machine Learning Algorithms

An Overview of How Software Works On a basic level, every software system manipulates data. In software development, we create a system where someone or something (the user) provides some data (the input). Software manipulates that input and translates it into different data, the output. Our fundamental goal for developing software is to have a…

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