Daniel Geron

Computer Programming Daniel Geron

Do want to learn how machine learning and neural networks work quickly and simply? Do you want to know how to build a machine learning model and you have no programming skill? Do you know a bit of Python coding and want to learn more about how this deep learning works?

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.

This bundle is intended to address all these questions. In fact, the aim of this bundle is providing the absolute beginners or other programmers that has no experience with Python programming the basic and fundamental tools of the Python language.




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 libraries
When 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. The basics of the three main Python languages that will help you get the work done-including TensorFlow, Keras, and PyTorchHow to install the three Python libraries to help you get startedHow to install and use magic command in IpythonFunctionalities of NumPy library for numerical programmingFunctionalities of Pandas library for data analysis




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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