Machine Learning Techniques

This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications and also a few examples of the different types of machine learning.

Three comprehensive manuscripts in one audiobook. Listen to this audiobook now if you want to learn more about machine learning!

Grab this layman guide. Sound interesting? The author thinks so too! Listen to Machine Learning: Machine Learning in 2020, Vol 1 and learn about machine theory and computer networks.

Python is a high-level scripting language. It is easy to learn and more robust than other languages because of its dynamic nature and simple syntax, which allows small lines of code. Indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using Python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations.

Machine learning is everywhere. It is time for you to start learning what machine learning is all about, and you can do that with this book. Discover what neural networks are, about python and machine learning, examples of machine learning, how machine learning is beneficial to you, and so much more.

Data science is one of the most popular, lucrative and highly desirable skill set out there. Learning it—and mastering the craft—is a walk in the park when you have the right guidance.

This audiobook gives you the opportunity to understand how python machine learning works and how to learn and apply these techniques in everyday life. You will learn the basics of programming in python and some examples of problems which can be solved with machine learning. The work was written especially for beginners. The topic is treated with simplicity and it is easy to listen and understand. If you want to improve on your projects and applications, make sure you listen to this audiobook that will give you the right help to get you started!

If you need to learn how to use machine learning, big data, data science, and neural networks but you can’t (or there is no time to) study the complicated math and algorithms behind these technologies, then keep reading. All technologies related to artificial intelligence represent an incredible opportunity if you want to grow your business or if you are searching for a new job, but it’s not very easy to understand how they work.

Have you always wanted to learn Machine Learning principles and how to create bots and more with Python? Every day more and more of our technologies and processes are being automated and computing is no different. Besides being able to automate many simple coding operations and algorithms so that you can complete daily tasks and projects faster than before, Machine Learning makes you more employable down the line. This audiobook will teach you everything that you need to know to start creating simple shell scripts and bots today.

The world is constantly changing and evolving. Transportation was revolutionized by cars and planes; however, machine learning will revolutionize the world in which we live from simple day-to-day tasks to even the most complex endeavors. You will learn the fundamentals of machine learning from algorithms, Python, and supervised and unsupervised learning. You will also learn about the real world applications, implications, and theories of Markov models.

Do you want to change your career to something more exciting, challenging, and which offers continuous learning? If yes, then machine learning is the skill you need to develop!

This book is designed to be an introduction to machine learning algorithms for a complete beginner. It starts with an explanation of exactly what machine learning algorithms are and then walks you through the languages and frameworks used to create them. Studying machine learning is considered to be quite challenging due to the impression that special talent is required or some unachievable level of mathematics is needed in order to understand the various algorithms and techniques. But anyone can learn to become a machine learner and put the theory into practice.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.