Machine Learning

Machine learning tutorial

is a subset of artificial intelligence (ai) which predicate the feature depending upon on past experience.

machine learning uses statistical model that computer uses to effectively perform a specific task without using explicit programming.

In the app learn machine learning, artificial intelligence, deep learning, neural network, python, R language and many more...

We learn in

- Concepts

-Types of learning

-Supervised Learning

-Unsupervised Learning

-Data pre-processing, analysis and visualization

-Training data and test data

-Applications

-Regression

- Algorithms

-decision tree algorithm

-Support vector machines (SVM)

-Naive bayes algorithm

-KNN (k-nearest neighbours)

- K-means

-Random forest

-Dimensional reduction algorithm

-boosting algorithms

-Overview of ai

-Intelligent systems

-Agents and environments

-Popular search algorithms

-Fuzzy logic systems

-Natural language processing

-Expert systems

-Robotics

-Neural networks

Also learn more about

,

in detail also Interview question of ML, R Language, AI, Python, IOT Added.