Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features. A tree can be seen as a piecewise constant approximation. [contact-form-7 id="76417"...

Pattern recognition is the use of machine learning algorithms to identify patterns. It classifies data based on statistical information or knowledge gained from patterns and their representation. In this technique, labeled training data is used to train pattern recognition systems. Introduction to Pattern Recognition Features of pattern...

Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications. [contact-form-7 id="76417" title="Subscriber Demo Form"] ...

Keras is a neural network library while TensorFlow is the open-source library for a number of various tasks in machine learning. TensorFlow provides both high-level and low-level APIs while Keras provides only high-level APIs. TensorFlow vs Keras TensorFlow Keras TensorFlow vs Keras: The Comparison Keras vs Tensorflow -Which one to choose...

The average machine learning salary, according to Indeed's research, is approximately $146,085 (an astounding 344% increase since 2015). The average machine learning engineer salary far outpaced other technology jobs on the list. Who is a Machine Learning Engineer? Moreover, What do they do? Machine Learning Engineer Salary in India Machine...

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. Machine learning Life...

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or...

The 7 best deep learning books you should be reading right now In today’s post, I’m going to share with you the 7 best deep learning books (in no particular order) I have come across and would personally recommend you read. Some of these deep learning books are heavily theoretical, focusing on the mathematics and associated...

We live in a start of a revolutionized era due to development of data analytics, large computing power, and cloud computing. Machine learning will definitely have a huge role there and the brains behind Machine Learning is based on algorithms. This article covers 10 most popular Machine Learning Algorithms which are used currently. These...

Before you get started on your project, it is helpful to have access to a library of project code snippets. So anytime you are stuck on the project you can use these solved examples to get unstuck.         It is always helpful to gain insights into how real people are beginning their careers in machine...