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In this article, you will learn about the basics of machine learning.
Naïve Bayes classifiers are a family of simple "probabilistic classifiers" based on applying Bayes' theorem with strong (naïve) independence assumptions between the features. They are among the simplest Bayesian network models. In this article, you will learn to implement naive bayes using pyhon
In this article, we use a dataset to train the machine and test data to predict the price
Learn how to install TensorFlow on a Raspberry Pi and run an ImageNet image-classification script using Python.
In this tutorial, you will learn to create a machine learning model in Microsoft Azure Machine Learning Studio.
Deploy an Azure Machine Learning Iris classification model as a predictive web service and consume it from an ASP.NET MVC5 client application.
This article is about installation of premium Microsoft Azure Machine Learning Studio workspace into your Microsoft Azure paid subscription account.
Steps to successfully learn machine learning.
In this article, you will learn about Random Forest - a great machine learning technique.
How to become the master of machine learning. Machine learning is considered as a subset of artificial intelligence, which provides machines with the ability to learn without being explicitly programmed. Industry experts are predicting that the combination of Machine learning and hence artificial intelligence and Internet of Things(IoT) will be the new technological era setter and the business, startups, governments etc. will invest huge numbers in the same.
Machine Learning is the booming research area across the Globe. Advances in Machine Learning will make a big difference in many fields in future. This is a vast area in which there are many types of algorithms embedded in it. This article will help you get started with Basics of Machine Learning.
In this post, I will demonstrate you to solving a simple classification problem.
In this article, we are going to use Azure Machine Learning Studio for the first time to create a machine learning experiment.
Data cleansing is an important part of the Data Science Process which will help in having higher and better accuracy on predictive models. In this article, the process and techniques of doing so shall be discussed using Azure Machine Learning.
In Build 2018, Microsoft introduced the preview of ML.NET (Machine Learning .NET) which is a cross-platform, open source machine learning framework. Yes, now it's easy to develop our own Machine Learning application or developing costume module using Machine Learning framework. ML.NET is a machine learning framework which was mainly developed for .NET developers.
In this article, we will try to understand Machine Learning in layman’s language.
This article will explain the concept of data classification based on K-Nearest Neighbor Algorithm of Machine Learning
The river water plays a very important role in the overall socioeconomic development of the state. It is very helpful if we can predict the pollution level based on studies and data, which will be very helpful for government to implement the further plans for prevention of water pollution and enhancing the water quality.
This article consists of overview of Linear Regression which is considered as a workhouse of Supervised ML along with it's implementation with some common python libraries .
In this article, we will focus on what Azure automated Machine Learning is, why we are using it and how we handle it with a simple demo.
TensorFlow is Google's open source machine learning framework. Lean what is new in TensorFlow 2.0
In this article you will learn about Machine Learning.
In this article, we will see a quick view of how to develop machine learning “Hello world" program.
This article explains the way to classify twitters' tweeted data based on Machine Learning's Naive Bayes Algorithm
Learn what machine learning is, how it relates to artificial intelligence and data mining, and how supervised, unsupervised, and reinforcement learning work.
In this article you will learn about ECG Arrhythmia Classification using Deep Learning.
Learn how to create a decision tree classifier in Weka by loading a dataset and using the Explorer classification tools.
Learn basics of decisions trees and their roles in computer algorithms and how decision trees are used in Python and machine learning.
Learn how Azure Machine Learning Studio supports data loading, preparation, model building, deployment, and R scripts, along with the benefits of running machine learning workloads in Azure.
Everything on Machine Learning, not only its articles: the Machine Learning page →
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