{"product_id":"machine-learning-algorithms-second-edition-popular-algorithms-for-data-science-and-machine-learning-2nd-edition-paperback","title":"Machine Learning Algorithms - Second Edition: Popular algorithms for data science and machine learning, 2nd Edition - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGiuseppe Bonaccorso\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAn easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eExplore statistics and complex mathematics for data-intensive applications \u003c\/li\u003e \u003cli\u003eDiscover new developments in EM algorithm, PCA, and bayesian regression \u003c\/li\u003e \u003cli\u003eStudy patterns and make predictions across various datasets \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eMachine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight. \u003c\/p\u003e \u003cp\u003eThis second edition of Machine Learning Algorithms walks you through prominent development outcomes that have taken place relating to machine learning algorithms, which constitute major contributions to the machine learning process and help you to strengthen and master statistical interpretation across the areas of supervised, semi-supervised, and reinforcement learning. Once the core concepts of an algorithm have been covered, you'll explore real-world examples based on the most diffused libraries, such as scikit-learn, NLTK, TensorFlow, and Keras. You will discover new topics such as principal component analysis (PCA), independent component analysis (ICA), Bayesian regression, discriminant analysis, advanced clustering, and gaussian mixture. \u003c\/p\u003e \u003cp\u003eBy the end of this book, you will have studied machine learning algorithms and be able to put them into production to make your machine learning applications more innovative.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eStudy feature selection and the feature engineering process \u003c\/li\u003e \u003cli\u003eAssess performance and error trade-offs for linear regression \u003c\/li\u003e \u003cli\u003eBuild a data model and understand how it works by using different types of algorithm \u003c\/li\u003e \u003cli\u003eLearn to tune the parameters of Support Vector Machines (SVM) \u003c\/li\u003e \u003cli\u003eExplore the concept of natural language processing (NLP) and recommendation systems \u003c\/li\u003e \u003cli\u003eCreate a machine learning architecture from scratch\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eMachine Learning Algorithms is for you if you are a machine learning engineer, data engineer, or junior data scientist who wants to advance in the field of predictive analytics and machine learning. Familiarity with R and Python will be an added advantage for getting the best from this book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 522\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.05 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 30, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212659245305,"sku":"9781789347999","price":83.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/Z256MVAyN1IvU2NxcFFIaHd0ZDl1dz09.webp?v=1768094905","url":"https:\/\/bookscloud.io\/products\/machine-learning-algorithms-second-edition-popular-algorithms-for-data-science-and-machine-learning-2nd-edition-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}