How To Read A Church
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Effective Machine Learning Teams : Best Practices for ML Practitioners
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Delta Lake: Up and Running : Modern Data Lakehouse Architectures with Delta Lake
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Architecting IoT Solutions on Azure : Conquering Complexity for Scalable Device and Data Management
Blaize Stewart
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Fundamentals of Data Observability : Implement Trustworthy End-To-End Data Solutions
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Scaling Python with Dask : From Data Science to Machine Learning
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Apache Iceberg: The Definitive Guide : Data Lakehouse Functionality, Performance, and Scalability on the Data Lake
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Hands-On Differential Privacy : Introduction to the Theory and Practice Using Opendp
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Fundamentals of Data Observability
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Kibana 8.x – A Quick Start Guide to Data Analysis : Learn about data exploration, visualization, and dashboard building with Kibana
Krishna Shah
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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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Extending Excel with Python and R : Unlock the potential of analytics languages for advanced data manipulation and visualization
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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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Accelerate Model Training with PyTorch 2.X : Build more accurate models by boosting the model training process
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MLOps with Red Hat OpenShift : A cloud-native approach to machine learning operations
Ross Brigoli
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Cracking the Data Science Interview : Unlock insider tips from industry experts to master the data science field
Leondra R. Gonzalez
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The Complete Power BI Interview Guide : A modern approach to acing the data analyst interview and landing your dream job
Sandielly Ortega Polanco
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Learn Microsoft Fabric : A practical guide to performing data analytics in the era of artificial intelligence
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Active Machine Learning with Python : Refine and elevate data quality over quantity with active learning
Margaux Masson-Forsythe
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Managing Data Integrity for Finance : Discover practical data quality management strategies for finance analysts and data professionals
Jane Sarah Lat
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Principles of Data Science : A beginner's guide to essential math and coding skills for data fluency and machine learning
Sinan Ozdemir
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Data Stewardship in Action : A roadmap to data value realization and measurable business outcomes
Pui Shing Lee
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Learn T-SQL Querying : A guide to developing efficient and elegant T-SQL code
Pedro Lopes
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Supercharge Power BI : Power BI is Better When You Learn To Write DAX
Matt Allington
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