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by Jennifer Grange (Author)
Do you understand the difference between supervised and unsupervised learning algorithms? Is machine learning something that will affect you at work in the near future? Would you like to be able to learn about this quickly, in a simple and concise way? There is a growing number of people who are seeking to understand neural networks and what powers them up. Some of the world's biggest companies are using machine learning techniques to administer their tasks in a way that is both effective and professional and if you want to learn more about it then this book is for you. Suitable for newcomers, Machine Learning: A Simple, Concise & Complete Introduction to Machine Learning for Beginners, comprises a 2-book bundle which provides in-depth knowledge of the Supervised and Unsupervised Learning Algorithms which play such a big part and specifically: -Supervised learning -Semi-supervised learning -Learning to learn -Transduction -Codes used to create algorithmic functions -How neural networks make decisions using decision trees -Learning that reinforces Inside you will find two great titles, Machine Learning for Beginners and Machine Learning for Absolute Beginners, both written in a clear, concise and easy-to-follow style, these books take what seems to be a complex subject at first and simplify it into basic layman's terms, so that it becomes an easy read, even if you are a complete novice. Get yourself a copy of Machine Learning today. It will enhance your understanding and provide you with everything you'll need to expand your knowledge of this fascinating subject
