Packt Publishing - ebooki
Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.
Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.
As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.
Więcej »
-
The Definitive Guide to Power Query (M). Mastering complex data transformation with Power Query
-
CompTIA A+ Practice Tests Core 1 (220-1101) and Core 2 (220-1102). Pass the CompTIA A+ exams on your first attempt with rigorous practice questions
-
LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential
-
Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java
-
The Machine Learning Solutions Architect Handbook. Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI - Second Edition
-
Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
-
Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition
-
Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples - Second Edition
-
Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
-
Data Governance Handbook. A practical approach to building trust in data
-
Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
-
Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
-
Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
-
Simplifying Android Development with Coroutines and Flows. Learn how to use Kotlin coroutines and the flow API to handle data streams asynchronously in your Android app
-
Jira Work Management for Business Teams. Accelerate digital transformation and modernize your organization with Jira Work Management
-
Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition
-
Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
-
Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
-
Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
-
Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
-
Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
-
Keras Reinforcement Learning Projects. 9 projects exploring popular reinforcement learning techniques to build self-learning agents
-
Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
-
AWS Certified Security - Specialty (SCS-C02) Exam Guide. Get all the guidance you need to pass the AWS (SCS-C02) exam on your first attempt - Second Edition
-
Quantum Computing Algorithms. Discover how a little math goes a long way
-
Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
-
Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
-
Hands-On RTOS with Microcontrollers. Building real-time embedded systems using FreeRTOS, STM32 MCUs, and SEGGER debug tools
-
Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
-
Machine Learning Security with Azure. Best practices for assessing, securing, and monitoring Azure Machine Learning workloads
-
TinyML Cookbook. Combine machine learning with microcontrollers to solve real-world problems - Second Edition
-
Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
-
Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
-
The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
-
Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
-
The Kaggle Book. Data analysis and machine learning for competitive data science
-
Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
-
Microsoft Power Platform Functional Consultant: PL-200 Exam Guide. Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam
-
Fundamentals of CRM with Dynamics 365 and Power Platform. Enhance your customer relationship management by extending Dynamics 365 using a no-code approach
-
Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition
-
The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition
-
Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
-
Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
-
Building a Recommendation System with R. Learn the art of building robust and powerful recommendation engines using R
-
Salesforce Essentials for Administrators. Discover the administration fundamentals and challenges of Salesforce CRM
-
Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
-
Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
-
The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
-
Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
-
AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition
-
The Definitive Guide to Google Vertex AI. Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices
-
TensorFlow Developer Certificate Guide. Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam
-
Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions
-
Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
-
Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
-
Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
-
Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field
-
Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
-
Kibana 8.x - A Quick Start Guide to Data Analysis. Learn about data exploration, visualization, and dashboard building with Kibana
-
A Practical Guide to Service Management. Insights from industry experts for uncovering, implementing, and improving service management practices
-
Machine Learning for Emotion Analysis in Python. Build AI-powered tools for analyzing emotion using natural language processing and machine learning
-
Transformers for Natural Language Processing. Build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4 - Second Edition
-
Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
-
LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition
-
3D Graphics Rendering Cookbook. A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan
-
Learn Quantum Computing with Python and IBM Quantum Experience. A hands-on introduction to quantum computing and writing your own quantum programs with Python
-
The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
-
The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
-
The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions
-
The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition
-
Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
-
AI Blueprints. How to build and deploy AI business projects
-
Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib
-
Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications
-
Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases
-
Solidity Programming Essentials. A beginner's guide to build smart contracts for Ethereum and blockchain
-
Pocket CIO - The Guide to Successful IT Asset Management. Get to grips with the fundamentals of IT Asset Management, Software Asset Management, and Software License Compliance Audits with this guide
-
Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
-
Mastering PostGIS. Modern ways to create, analyze, and implement spatial data
-
Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition
-
Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
-
Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
-
SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
-
Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow
-
Microsoft Dynamics 365 Project Operations. Deliver profitable projects with effective project planning and productive operational workflows
-
Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
-
The Economics of Data, Analytics, and Digital Transformation. The theorems, laws, and empowerments to guide your organization’s digital transformation
-
Quantum Computing in Practice with Qiskit(R) and IBM Quantum Experience(R). Practical recipes for quantum computer coding at the gate and algorithm level with Python
-
Learn Algorithmic Trading. Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
-
The Art of CRM. Proven strategies for modern customer relationship management
-
Mapping with ArcGIS Pro. Design accurate and user-friendly maps to share the story of your data
-
Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition
-
Hands-On Genetic Algorithms with Python. Apply genetic algorithms to solve real-world AI and machine learning problems - Second Edition
-
Data Science for Decision Makers. Enhance your leadership skills with data science and AI expertise
-
Data Management Strategy at Microsoft. Best practices from a tech giant's decade-long data transformation journey
-
Keap Cookbook. Over 75 effective recipes for CRM optimization, marketing automation, and workflow mastery
-
Google Machine Learning and Generative AI for Solutions Architects. Build efficient and scalable AI/ML solutions on Google Cloud
-
Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows
-
Introduction to Algorithms. A Comprehensive Guide for Beginners: Unlocking Computational Thinking
-
Algorithms and Data Structures with Python. A comprehensive guide to data structures & algorithms via an interactive learning experience
-
Data Analysis Foundations with Python. Master Data Analysis with Python: From Basics to Advanced Techniques
-
Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
-
De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning
-
Microsoft Azure AI Fundamentals AI-900 Exam Guide. Gain proficiency in Azure AI and machine learning concepts and services to excel in the AI-900 exam
-
HashiCorp Terraform Associate (003) Exam Guide. Prepare to pass the Terraform Associate exam on your first attempt
-
Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake
-
Salesforce B2C Solution Architect's Handbook. Leverage Salesforce to create scalable and cohesive business-to-consumer experiences - Second Edition
-
The Ultimate Zoom Cookbook. Over 100 recipes to enhance and engage communication with Zoom
-
The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
-
Privacy-Preserving Machine Learning. A use-case-driven approach to building and protecting ML pipelines from privacy and security threats
-
Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
-
Before Machine Learning Volume 1 - Linear Algebra for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence
-
Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
-
Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
-
Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
-
Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process
-
Unleashing the Power of Data with Trusted AI. A guide for board members and executives
-
Active Machine Learning with Python. Refine and elevate data quality over quantity with active learning
-
Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework
-
Dancing with Qubits. From qubits to algorithms, embark on the quantum computing journey shaping our future - Second Edition