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Data-Centric Machine Learning with Python - The ultimate guide to engineering and deploying high-quality models based on good data
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Cracking the Data Science Interview - Unlock insider tips from industry experts to master the data science field
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Azure Data Factory Cookbook - A data engineer's guide to building and managing ETL and ELT pipelines with data integration
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Machine Learning Infrastructure and Best Practices for Software Engineers - Take your machine learning software from a prototype to a fully fledged software system
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Data Engineering with Scala and Spark - Build streaming and batch pipelines that process massive amounts of data using Scala
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Bayesian Analysis with Python - A practical guide to probabilistic modeling
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Data Labeling in Machine Learning with Python - Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
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Principles of Data Science - A beginner's guide to essential math and coding skills for data fluency and machine learning
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Ultimate Parallel and Distributed Computing with Julia For Data Science - Excel in Data Analysis Statistical Modeling and Machine Learning by leveraging MLBasejl and MLJjl to optimize workflows
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