{"product_id":"machine-learning-algorithms-in-depth-vadim-smolyakov-9781633439214","title":"Machine Learning Algorithms in Depth","description":"\u003cb\u003eDevelop a mathematical intuition for how machine learning algorithms work so you can improve model performance and effectively troubleshoot complex ML problems.\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eIn \u003ci\u003eMachine Learning Algorithm\u003c\/i\u003es in Depth you'll explore practical implementations of dozens of ML algorithms including: \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eMonte Carlo Stock Price Simulation\u003c\/li\u003e \u003cli\u003eImage Denoising using Mean-Field Variational Inference\u003c\/li\u003e \u003cli\u003eEM algorithm for Hidden Markov Models\u003c\/li\u003e \u003cli\u003eImbalanced Learning, Active Learning and Ensemble Learning\u003c\/li\u003e \u003cli\u003eBayesian Optimization for Hyperparameter Tuning\u003c\/li\u003e \u003cli\u003eDirichlet Process K-Means for Clustering Applications\u003c\/li\u003e \u003cli\u003eStock Clusters based on Inverse Covariance Estimation\u003c\/li\u003e \u003cli\u003eEnergy Minimization using Simulated Annealing\u003c\/li\u003e \u003cli\u003eImage Search based on ResNet Convolutional Neural Network\u003c\/li\u003e \u003cli\u003eAnomaly Detection in Time-Series using Variational Autoencoders\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e\u003ci\u003eMachine Learning Algorithms in Depth\u003c\/i\u003e dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you'll learn the fundamentals of Bayesian inference and deep learning. You'll also explore the core data structures and algorithmic paradigms for machine learning. Each algorithm is fully explored with both math and practical implementations so you can see how they work and how they're put into action. \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Fully understanding how machine learning algorithms function is essential for any serious ML engineer. This vital knowledge lets you modify algorithms to your specific needs, understand the tradeoffs when picking an algorithm for a project, and better interpret and explain your results to your stakeholders. This unique guide will take you from relying on one-size-fits-all ML libraries to developing your own algorithms to solve your business needs. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eMachine Learning Algorithms in Depth\u003c\/i\u003e dives deep into the how and the why of machine learning algorithms. For each category of algorithm, you'll go from math-first principles to a hands-on implementation in Python. You'll explore dozens of examples from across all the fields of machine learning, including finance, computer vision, NLP, and more. Each example is accompanied by worked-out derivations and details, as well as insightful code samples and graphics. By the time you're done reading, you'll know how major algorithms work under the hood--and be a better machine learning practitioner for it. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eVadim Smolyakov\u003c\/b\u003e is a data scientist in the Enterprise \u0026amp; Security DI R\u0026amp;D team at Microsoft. He is a former PhD student in AI at MIT CSAIL with research interests in Bayesian inference and deep learning. Prior to joining Microsoft, Vadim developed machine learning solutions in the e-commerce space.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Vadim Smolyakov\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1633439216\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781633439214\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Manning Publications\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/25\/2024\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 325\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.85lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.38w x 0.81d","brand":"Vadim Smolyakov","offers":[{"title":"Paperback","offer_id":44131889545471,"sku":"9781633439214","price":79.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_1267d286-e36b-4119-82bc-8edb6a775a40.jpg?v=1687476995","url":"https:\/\/www.whiterainbookhouse.com\/products\/machine-learning-algorithms-in-depth-vadim-smolyakov-9781633439214","provider":"WR Book House","version":"1.0","type":"link"}