Packt Publishing - ebooki
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Machine Learning: Make Your Own Recommender System. Build Your Recommender System with Machine Learning Insights
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Machine Learning with Python. Unlocking AI Potential with Python and Machine Learning
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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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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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Data Stewardship in Action. A roadmap to data value realization and measurable business outcomes
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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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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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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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Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
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MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations
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Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
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MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition
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Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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Data Science for Web3. A comprehensive guide to decoding blockchain data with data analysis basics and machine learning cases
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The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition
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Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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Machine Learning for Imbalanced Data. Tackle imbalanced datasets using machine learning and deep learning techniques
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Mastering Apex Programming. A Salesforce developer's guide to learn advanced techniques and programming best practices for building robust and scalable enterprise-grade applications - Second Edition
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Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
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Practical Machine Learning on Databricks. Seamlessly transition ML models and MLOps on Databricks
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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Machine Learning with Qlik Sense. Utilize different machine learning models in practical use cases by leveraging Qlik Sense
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Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide
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The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide
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Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization
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Machine Learning with LightGBM and Python. A practitioner's guide to developing production-ready machine learning systems
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Streamlit for Data Science. Create interactive data apps in Python - Second Edition
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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CompTIA A+ Practice Test Core 1 (220-1101). Over 500 practice questions to help you pass the CompTIA A+ Core 1 exam on your first attempt
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Debugging Machine Learning Models with Python. Develop high-performance, low-bias, and explainable machine learning and deep learning models
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Machine Learning Engineering with Python. Manage the lifecycle of machine learning models using MLOps with practical examples - Second Edition
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Data Wrangling on AWS. Clean and organize complex data for analysis
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Azure Data and AI Architect Handbook. Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure
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AI & Data Literacy. Empowering Citizens of Data Science
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Becoming a Salesforce Certified Technical Architect. Build a strong command of architectural principles and strategies to prepare for the CTA review board - Second Edition
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data
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CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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Computer Vision on AWS. Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Applied Geospatial Data Science with Python. Leverage geospatial data analysis and modeling to find unique solutions to environmental problems
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Red Hat Certified Specialist in Services Management and Automation EX358 Exam Guide. Get your certification and prepare for real-world challenges as a Red Hat Certified Specialist
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The Kaggle Workbook. Self-learning exercises and valuable insights for Kaggle data science competitions
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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Democratizing Application Development with Betty Blocks. Build powerful applications that impact business immediately with no-code app development
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Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data
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Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
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Technical Program Manager's Handbook. Empowering managers to efficiently manage technical projects and build a successful career path
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Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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Microsoft Azure Fundamentals Certification and Beyond. Simplified cloud concepts and core Azure fundamentals for absolute beginners to pass the AZ-900 exam
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Salesforce Anti-Patterns. Create powerful Salesforce architectures by learning from common mistakes made on the platform
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Transforming Healthcare with DevOps. A practical DevOps4Care guide to embracing the complexity of digital transformation
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Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
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Certified Kubernetes Administrator (CKA) Exam Guide. Validate your knowledge of Kubernetes and implement it in a real-life production environment
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Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
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Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks
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Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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Blender 3D Incredible Models. A comprehensive guide to hard-surface modeling, procedural texturing, and rendering
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Quantum Computing Experimentation with Amazon Braket. Explore Amazon Braket quantum computing to solve combinatorial optimization problems
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Machine Learning at Scale with H2O. A practical guide to building and deploying machine learning models on enterprise systems
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Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition
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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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Mastering Microsoft Power BI. Expert techniques to create interactive insights for effective data analytics and business intelligence - Second Edition
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UiPath Associate Certification Guide. The go-to guide to passing the Associate certification exam with the help of mock tests and quizzes
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes
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In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data
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Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo
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Building Data Science Solutions with Anaconda. A comprehensive starter guide to building robust and complete models
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Quantum Chemistry and Computing for the Curious. Illustrated with Python and Qiskit® code
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Mastering Azure Machine Learning. Execute large-scale end-to-end machine learning with Azure - Second Edition
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Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems
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Democratizing Artificial Intelligence with UiPath. Expand automation in your organization to achieve operational efficiency and high performance
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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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Natural Language Processing with Flair. A practical guide to understanding and solving NLP problems with Flair
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Artificial Intelligence with Power BI. Take your data analytics skills to the next level by leveraging the AI capabilities in Power BI
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau
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Essential Mathematics for Quantum Computing. A beginner's guide to just the math you need without needless complexities
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Accelerating Nonprofit Impact with Salesforce. Implement Nonprofit Cloud for efficient and cost-effective operations to drive your nonprofit mission
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Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way
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Salesforce CPQ Implementation Handbook. Configure Salesforce CPQ products to close more deals and generate higher revenue for your business
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TinyML Cookbook. Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter
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Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
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Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity - Fifth Edition
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Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
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Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
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Enhancing Productivity with Notion. Save time on projects by supercharging your productivity with Notion's powerful features and templates
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Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam
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Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data
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Machine Learning in Biotechnology and Life Sciences. Build machine learning models using Python and deploy them on the cloud