This bundle is going to guide you to the basics and the principles behind machine learning. Machine learning is an active research domain and includes several different approaches. This bundle is going to help you understand the different approaches of machine learning and neural networks. It will guide you through the steps you need to build a machine learning model.
Machine learning implies programming. This bundle will teach you Python programming. This bundle does not require any pre-programming skills. It will help to get you started in Python programming, as well as how to use Python libraries to analyze data and apply machine learning.
Overall, this bundle is a go-to guide for getting started in machine learning modeling using Python programming. Once you get through the bundle, you will be able to develop your own machine learning models using Python.
Through this bundle, you will learn:
Principles of machine learningTypes of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learningAdvantages of each type of machine learningPrinciple and types of neural networksSteps to develop and fit artificial neural network modelGetting started and installing PythonTools and platforms for Python programmingHow to use pandas, NumPy and matplotlib Python librariesHow to develop a simple linear and logistic machine learning modelHow to develop and train a multi-layer artificial neural network two ways: from scratch and using the Python librariesWhen to use each type of machine learningThe general concept of artificial neural networksActivation function in artificial neural network and to choose an activation function within an artificial neural networkThe 5 main types of artificial neural networkThe best function to be used to train artificial neural networks.the 2 main concepts to know in the training process of the artificial neural networkthe main variants and algorithms for the formation of an artificial neural network and a machine learning model in general.Even if you don't have any background in machine learning and Python programming, this book will give you the tools to develop machine learning models.
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