Learn essential concepts of AI like neural networks, classification, regression and optimization using Python language
Instructed by: Sobhan N. | Subject: Academics, Science
Instructed by: Sobhan N. | Subject: Academics, Science
Description
Do you like to learn how to forecast economic time series like stock price or indexes with high accuracy? Do you like to know how to predict weather data like temperature and wind speed with a few lines of codes? Do you like to classify Handwritten digits more accurately ? If you say Yes so read more ... In computer science, Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In this you are going to learn essential concepts of AI using Python: Neural Networks Classification Methods Regression Analysis Optimization Methods in the First, Second,Third sections you will learn Neural Networks You will learn how to make Recurrent Neural Networks using Keras and LSTMs: you'll learn how to use python and Keras to forecast google stock price . you'll know how to use python and Keras to predict NASDAQ Index precisely. you'll learn how to use python and Keras to forecast New York temperature with low error. you'll know how to use python and Keras to predict New York Wind speed accurately. In the next section you learn how to use python and sklearn MLPclassifier to forecast output of different datasets like Logic Gates Vehicles Datasets Generated Datasets In the third section you can forecast output of different datasets using Keras library like Random datasets Forecast International Airline passengers Los Angeles temperature forecasting Next you will learn how to classify well known datasets into with high accuracy using k-Nearest Neighbors, Bayes, Support Vector Machine and Logistic Regression. In the 4th section you learn how to use python and k-Nearest Neighbors to estimate output of your system. In this section you can classify: Python Dataset IRIS Flowers Make your own k Nearest Neighbors Algorithm In the 5th section you learn how to use Bayes and python to classify output of your system with nonlinear structure .In this section you can classify: IRIS Flowers Pima Indians Diabetes Database Make your own Naive Bayes Algorithm You can also learn how to classify datasets by by Support Vector Machines to find the correct class for data and reduce error. Next you go further You will learn how to classify output of model by using Logistic Regression In the 6th section you learn how to use python to estimate output of your system. In this section you can estimate output of: Random dataset IRIS Flowers Handwritten Digits In the 7th section you learn how to use python to classify output of your system with nonlinear structure .In this section you can estimate output of: Blobs IRIS Flowers Handwritten Digits After it we are going to learn regression methods like Linear, Multi-Linear and Polynomial Regression. In the 8th section you learn how to use Linear Regression and python to estimate output of your system. In this section you can estimate output of: Random Number Diabetes Boston House Price Built in Dataset In the 9th section you learn how to use python and Multi Linear Regression to estimate output of your system with multivariable inputs.In this section you can estimate output of: Global Temprature Total Sales of Advertising Campaign Built in Dataset In the 10th section you learn how to use python Polynomial Regression to estimate output of your system. In this section you can estimate output of: Nonlinear Sine Function Python Dataset Temperature and CO2 Finally I want to learn you theory behind bio inspired algorithms like Genetic Algorithm and Particle Swarm Optimization Method. You'll learn basic genetic operators like mutation crossover and selection and how they are work. You'll learn basic concepts of Particle Swarm and how they are work. In the 11th section you will learn how to use python and deap library to solve optimization problem and find Min/Max points for your desired functions using Genetic Algorithm. you'll learn theory of Genetic Algorithm Optimization Method you'll know how to use python and deap to optimize simple function precisely. you'll learn how to use python and deap to find optimum point of complicated Trigonometric function. you'll know how to use python and deap to solve Travelling Salesman Problem (TSP) accurately. In the 12th section we go further you will learn how to use python and deap library to solve optimization problem using Particle Swarm Optimization you'll learn theory of Particle Swarm Optimization Method you'll know how to use python and deap to optimize simple function precisely. you'll learn how to use python and deap to find optimum point of complicated Trigonometric function. you'll know how to use python and deap to solve Rastrigin standard function accurately.
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