Machine learning tutorial

machine learning 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 machine learning
- 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

artificial intelligence
-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 deep learning , Neural Network in detail