{"product_id":"machine-learning-algorithms-in-depth","title":"Machine Learning Algorithms In Depth","description":"\u003ch3\u003eDevelop a mathematical intuition around machine learning algorithms to improve model performance and effectively troubleshoot complex ML problems.\u003c\/h3\u003e \u003cp\u003eFor intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eMachine Learning Algorithms in Depth\u003c\/strong\u003e dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today.\u003c\/p\u003e \u003cp\u003eWith a particular emphasis on probability-based algorithms, you will learn the fundamentals of Bayesian inference and deep learning. You will also explore the core data structures and algorithmic paradigms for machine learning.\u003c\/p\u003e \u003cp\u003eYou will explore practical implementations of dozens of ML algorithms, including:\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 Optimisation 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 Minimisation 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 \u003cp\u003eEach algorithm is fully explored with both math and practical implementations so you can see how they work and put into action.\u003c\/p\u003e \u003ch4\u003eAbout the technology\u003c\/h4\u003e \u003cp\u003eFully 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 trade-offs 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.\u003c\/p\u003e","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57201558847870,"sku":"NW9781633439214","price":61.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9781633439214.jpg?v=1778534259","url":"https:\/\/mediaplace.com\/en-eu\/products\/machine-learning-algorithms-in-depth","provider":"MediaPlace","version":"1.0","type":"link"}