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Machine Learning Engineering in Action lays out an approach to building deployable, maintainable production machine learning systems. You will adopt software development standards …
Fully updated to Elixir 1.15, this authoritative bestseller reveals how Elixir tackles problems of scalability, fault tolerance, and high availability. Inside Elixir in Action, …
Master the demand forecasting skills you need to decide what resources to acquire, products to produce, and where and how to distribute them. For demand planners, S&OP managers, …
To lead a data science team, you need to expertly articulate technology roadmaps, support a data-driven culture, and plan a data strategy that drives a competitive business plan. …
Modern Fortran is natively parallel, so it's uniquely suited for efficiently handling problems like complex simulations, long-range predictions, and ultra-precise designs. If …
Don't be perplexed by data structures This fun, friendly, and fully-illustrated guide makes it easy to learn useful data structures you'll put to work every day. Data structures …
Revolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of …
A practical collection of the most important Python techniques. For beginning to intermediate Python programmers. Python How-To by Yong Cui, walks you through the most important …
Take control of your wealth management by building your own reliable, effective, and automated financial advisor tool. In Build a Robo Advisor with Python (From Scratch) you'll …
In Algorithms and Data Structures for Massive Datasets, you'll discover methods for reducing and sketching data so it fits in small memory without losing accuracy, and unlock the …