Название: Computer Programming: This Book Includes: Machine Learning for Beginners, Machine Learning with Python, Deep Learning with Python, Python for Data AnalysisАвтор: Daniel Geron
Издательство: Independently published
Год: 2019
Формат: epub
Страниц: 611
Размер: 1.2 Mb
Язык: English
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
Through this bundle, you will learn:
Principles of machine learning
Types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning
Advantages of each type of machine learning
Principle and types of neural networks
Steps to develop and fit artificial neural network model
Getting started and installing Python
Tools and platforms for Python programming
How to use pandas, NumPy and matplotlib Python libraries
How to develop a simple linear and logistic machine learning model
How 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 learning
The general concept of artificial neural networks
Activation function in artificial neural network and to choose an activation function within an artificial neural network
The 5 main types of artificial neural network
The best function to be used to train artificial neural networks.
the 2 main concepts to know in the training process of the artificial neural network
the 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 PyTorch
How to install the three Python libraries to help you get started
How to install and use magic command in Ipython
Functionalities of NumPy library for numerical programming
Functionalities of Pandas library for data analysis