Название: Python Machine Learning: The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science Автор: Richard Moore
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 111
Язык: английский
Формат: epub, rtf, pdf (conv)
Размер: 10.1 MB
Order Python Machine Learning: The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science, NumPy, Scikit Learn, Pandas and Tensorflow now to learn all the basic concepts you need to know about machine learning and Python. The purpose of this book is to guide you step by step through the entire process of working with various machine learning algorithms. First you will learn the basics of working with Python in order to acquire the basic knowledge needed to understand machine learning.
In each chapter you will learn a great deal of theory backed up by practical examples. Once you have the basics down, you will get to the core of machine learning algorithms and techniques.
Machine learning started out as a component of Artificial Intelligence, and therefore its definition is somewhat tied to it. In essence, machine learning software learns from experience, almost like humans. Keep in mind that in this case experience refers to data and the ability to learn does not involve direct programming. When a machine learning application is exposed to data it will absorb it, learn from it, adapt itself based on it and evolve. In other words, systems that are powered by machine learning doesn't need to be instructed by someone how to search for something and where to find it. Instead, it relies on its own algorithms to learn from the data and then apply what it learned in order to perform better and repeat the cycle. See? It’s almost human, but no this is not from the realm of science fiction. Machine learning has been here for quite some time and it’s becoming more and more of an industry standard in research as well as product design.
Machine learning is here to stay and that is why everyone is talking about it. It is one of the biggest trends in tech today because it serves a day to day purpose. It is used in so many areas that without a doubt include your daily life as well. This makes machine learning one of the most lucrative tech sectors with a wide array of career opportunities at your disposal. So if you want to get a piece of the action, you have all the resources you need.
You will explore:
- Why machine learning is important and so popular with today’s tech industry.
- The basics of working with Python.
- How to set up the development environment with the help of Python scientific distributions and libraries.
- How to preprocess your data and prepare it for training.
- How to work with the most important machine learning algorithms such as support vector machines and decision trees.
- The power of neural networks and how to work with feedforward, recurrent, and convolutional networks.
Learning machine learning and working with training algorithms doesn’t have to be a complex journey. Learn using clear, simple, real-world examples and enjoy the power of Python and machine learning!
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