Machine Learning Archives - Page 8 of 8

SVM: Difference between Linear and Non-Linear Models

Posted on February 4, 2020 by Sandeep Kumar

What are Support Vector Machines? SVM is a Supervised Machine Learning Algorithm which solves both the Regression problems and Classification problems. SVM finds a hyperplane that segregates the labeled dataset(Supervised Machine Learning) into two classes. Support Vectors These data points are clos...

Machine Learning, TensorFlow

Understanding TensorFlow Architecture

Posted on February 3, 2020 by Sandeep Kumar

This Guide gives you an overview of TensorFlow architecture which helps you in TensorFlow programming and think of what’s going on under the hood. You must have a solid understanding of its architecture to write high computational algorithms using the TensorFlow framework. What is TensorFlow T...

Machine Learning

Consume Azure Trained Model in Real-Time

Posted on January 31, 2020 by Sandeep Kumar

A well-trained machine learning model can make a web or mobile app smart enough to predict future actions and deliver content as per user interest. It can show what a user like to buy or read about. This all needs heavy computation and low latency. So we deploy our trained models as a web service [&...

Machine Learning

Linear Regression vs Logistic Regression – Key Difference

Posted on January 31, 2020 by Sandeep Kumar

Both the Machine Learning Algorithms Linear Regression and Logistic Regression comes under the Supervised Machine Learning Technique. Since both the algorithms are of Supervised nature, therefore they use labeled dataset. The major difference between the two is how they have been used. Linear Regres...

Machine Learning

Building Machine Learning Models in Microsoft Azure

Posted on January 31, 2020 by Sandeep Kumar

This hands-on guide explains how to build a machine learning model using a drag-n-drop interface in Microsoft azure ml studio. Azure Ml is a very intuitive tool to run ml experiments without any programming and it turns out a very fast approach to solve a real-world problem using Machine Learning. M...

Machine Learning

Supervised Machine Learning Algorithms You Should Know

Posted on January 31, 2020 by Sandeep Kumar

Introduction Imagine yourself as a first standard student sitting in a classroom wherein your teacher is supervising you, for instance, “this is a dog and this is a cat”. Similarly, in Supervised Machine Learning input is provided to a machine as a labeled dataset. Later, a model can learn from ...

Machine Learning

Supervised vs Unsupervised vs Reinforcement

Posted on January 29, 2020 by Sandeep Kumar

The amount of data generated in the world today is very huge. This data is generated not only by humans but also by smartphones, computers and other devices. Based on the kind of data available and a motive present, certainly, a programmer will choose how to train an algorithm using a specific learn...

Machine Learning

Understand Machine Learning with Examples

Posted on January 27, 2020 by Sandeep Kumar

Introduction Ever since computers have been created, we are progressively trying to make them advanced and powerful. From the room-sized machines to the gadgets in our pockets, And are now designing artificial intelligence to automate every task that would need human intelligence. Machine Learning i...