Machine Learning for Absolute Beginners: An Absolute beginner’s guide to learning and understanding machine learning successfullyКНИГИ » ПРОГРАММИНГ
Название: Machine Learning for Absolute Beginners: An Absolute beginner’s guide to learning and understanding machine learning successfully Автор: Ryan Hill Издательство: Amazon Digital Services LLC ASIN: B07KDH78DD Год: 2018 Страниц: 67 Язык: английский Формат: epub, azw3, pdf (conv) Размер: 10.1 MB
Do you want to know about Machine Learning even as a beginner?You have come to the right place. Machine learning is one of the hottest topics in this century - for good reasons. A neural network is often mentioned but covers only a small part of machine learning. There is much more to explore. There are a lot of interested people out there but many do not know where to start. The difficult question basically is how to start actually learning it?
Especially beginners might get discouraged because of statistics and math which is an integral part of machine learning. None the less you do not need to be a math expert to apply machine learning. This machine learning course is here to show you why. Instead of telling you all the statistics and math behind the Algorithms, I prefer to give you a much more hands on approach. At the end of the day there's only one thing that really counts - THE RESULT.
Many people misinterpret machine learning as being synonymous with Artificial Intelligence (AI). We think that AI and Machine Learning (ML) mean that robots are walking, talking, and behaving in a human manner. We whip out all the explanations of the AI movies that we have seen where robots take over the earth and start bossing around all the human occupants.
Machine learning is and isn’t Artificial Intelligence. Machine learning is and isn’t robots. While robots can use machine learning algorithms to behave in certain manners and calculate data for us, websites, search engines, computer programs, and applications on your smartphone, television, or tablet also use machine learning to make predictions, recommendations, ads and decisions based on whatever input was initially supplied to the algorithms. Still confused? You’re in the right place. In this book, we will explain what machine learning is, the various applications of machine learning, and why machine learning is so important.
Who is the target audience? Beginners in machine learning People who like a hands-on approach and not only watching People who prefer practice instead of theory All people who want to dive into one of the hottest topics out there but do not know where to start You want to take advantage of the data driven opportunity ahead
INTRODUCTION Welcome to Machine Learning 101! CHAPTER ONE What is Machine Learning… And why should we care? CHAPTER TWO The 6 Steps of Machine Learning CHAPTER THREE Chapter Four What do neural networks have to do with machine learning? CHAPTER FIVE What do neural networks have to do with deep learning? CHAPTER SIX What can machine learning algorithms do? What are the different machine learning applications? What are their disadvantages and advantages? CHAPTER EIGHT What does machine learning have in store for us? How Machine Learning is Fighting Cancer CONCLUSION