{"product_id":"9781789349276","title":"Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more","description":"\u003cp\u003e\u003cb\u003eDiscover the skill-sets required to implement various approaches to Machine Learning with Python\u003c\/b\u003e\u003c\/p\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eExplore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more\u003c\/li\u003e\n\u003cli\u003eBuild your own neural network models using modern Python libraries\u003c\/li\u003e\n\u003cli\u003ePractical examples show you how to implement different machine learning and deep learning techniques\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003eUnsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python.\u003cp\u003e\u003c\/p\u003eThis book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images.\u003cp\u003e\u003c\/p\u003eBy the end of this book, you will have learned the art of unsupervised learning for different real-world challenges.\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003cul\u003e\n\u003cli\u003eUse cluster algorithms to identify and optimize natural groups of data\u003c\/li\u003e\n\u003cli\u003eExplore advanced non-linear and hierarchical clustering in action\u003c\/li\u003e\n\u003cli\u003eSoft label assignments for fuzzy c-means and Gaussian mixture models\u003c\/li\u003e\n\u003cli\u003eDetect anomalies through density estimation\u003c\/li\u003e\n\u003cli\u003ePerform principal component analysis using neural network models\u003c\/li\u003e\n\u003cli\u003eCreate unsupervised models using GANs\u003c\/li\u003e\n\u003c\/ul\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003cp\u003eThis book is intended for statisticians, data scientists, machine learning developers, and deep learning practitioners who want to build smart applications by implementing key building block unsupervised learning, and master all the new techniques and algorithms offered in machine learning and deep learning using real-world examples. Some prior knowledge of machine learning concepts and statistics is desirable.\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":46529823211761,"sku":"9781789349276","price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781789349276_p0.jpg?v=1765952495","url":"https:\/\/shop.barnesandnoble.com\/products\/9781789349276","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}