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This Machine Learning Tutorial is an introduction to ML to help you learn machine learning so that it gives you knowledge on basics of AI, Machine Learning, ML classes, Neural network basics,Activation function & Multilayer Neuron, Deep Learning with TensorFlow and Optimization functions.

Learn Machine Learning in 32 hrs from experts



What is Machine Learning?

Machine learning is a subset of AI that enables the ability of machine to perform at ease, where it can learn and develop from the past without being constantly trained. It is mainly used to develop computer programs that gets data by itself and use it for learning purpose.

This Machine Learning tutorial will help you master ML by taking you through a step-by-step approach, so you learn machine learning and Deep learning concepts the right way.

Why is Machine Learning popular?

Machine Learning is so popular because:

1) Present day challenges are “high-dimensional” in nature

2) We presently have rich information sources to construct models that take care of issues in high-dimensional space

3) These models can be coordinated into working programming to help the sorts of items currently being requested by industry.

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Audience

This tutorial has been prepared for the beginners as well as for the professionals to help them in understanding basic-to-advanced concepts related to ML. This tutorial will help you in understanding about ML from where you will be able to take yourself to a higher level of expertise.

ML Tutorial Video

Prerequisites

Before going through this Machine learning tutorial, you should have fundamental knowledge of information technologies such as Computers, Internet and basic working knowledge on Data and AI, so you can learn machine learning right. Such basic concepts in this machine learning tutorial will help you in understanding the ML concepts in a better way so you can learn machine learning and ultimately be able to move faster on the learning track.

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This Machine Learning Tutorial covers Introduction of AI, Machine learning Basics, Supervised & Unsupervised learning, Regression & Classification, Linear & Logistic regression techniques, Multicollinearity, Neural network, creating neural networks, Training process flow, Activation function, Multilayer neuron, TensorFlow and its datatypes, creating a model in TensorFlow, Dropout layer, Optimization functions and Steps to create your own Chatbot. All this means you will learn machine learning fundamentals in the best possible manner.

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