Author Description

Before going into the field of machine learning, we begin to answer the most important question. Why Python?The answer is simple: it is a powerful and accessible language. Python has become the most widely used programming language for data processing, since it allows you to neglect all the boring aspects of programming, offering an environment in which it is possible to put ideas into practice and see concepts in action.Knowledge is acquired through learning and the key to doing this is our enthusiasm, but mastery of concepts can only come with practice. The road ahead may sometimes be fraught with obstacles and some topics may be more complex than others, but this opportunity and focus on python and machine learning helps to explore, learn and advance. This book contains powerful techniques to your arsenal, which will help you solve even the most difficult problems, based on the available data. Through machine learning, we instruct computers to process, learn and draw useful knowledge from this otherwise impenetrable mountain of data. Starting from the big supercomputers that support Google's search engines, to the smartphones that we all have in our pockets, we constantly rely on machine learning algorithms to try to move the world around us, often without even realizing it.Machine learning, or the application and study of algorithms that extract useful information from the shapeless mass of data, is the most interesting field of computer science. We live in an era where data is available in an overabundant quantity. Using self-learning algorithms in the field of machine learning, we are able to transform this data into knowledge. Thanks to the many and increasingly powerful open source libraries that have been developed over the last few years, there has probably never been a better time to deal with machine learning and python and to learn how to use these powerful algorithms to identify patterns in data and make predictions about future events.So get started w