Humble Tech Book Bundle: AI in Production: Governance, Reliability, and Application by Manning
Streamline your production environments with AI
View on HumblePay £29.52 or more to also unlock!
AI Governance (MEAP)
Engin Bozdag and Stefano Bennati, Manning
other-key
AI Governance: Secure, privacy-preserving, ethical systems presents a structured playbook for safely harnessing the potential of Generative AI,… AI Governance: Secure, privacy-preserving, ethical systems presents a structured playbook for safely harnessing the potential of Generative AI, including security and privacy, bias, ethics, cost management, and regulation. You’ll begin with a look at common deployment scenarios and consider how those choices affect control, accountability, and risk. Then, you’ll walk through a six-level generative AI governance framework that provides a reusable approach to setting policy, assessing risk, reviewing designs, testing before launch, monitoring live systems, learning from incidents, and other core production concerns. Using real-world case studies, you’ll explore how hallucinations, bias, and prompt injection manifest and how to mitigate them, including handling new attack vectors like prompt- and data-poisoning. The result is a stable set of guardrails that help you manage what AI can say and do.
LLM Evaluation and Alignment (MEAP)
Han Lee, Manning
other-key
LLM Evaluation and Alignment, The Foundational Ideas teaches you to think of evaluation as a design constraint. You’ll employ a "working backwards"… LLM Evaluation and Alignment, The Foundational Ideas teaches you to think of evaluation as a design constraint. You’ll employ a "working backwards" methodology that begins with what your system must get right, which directs you to the appropriate evaluation approach. As you internalize the define > evaluate > analysis > align cycle, you’ll start making more informed tradeoffs and expertly balancing helpfulness, safety, and brand voice in your models.
Building Reliable AI Systems (MEAP)
Rush Shahani, Manning
other-key
Building Reliable AI Systems is a comprehensive guide to creating LLM-based apps that are faster and more accurate. It takes you from training to… Building Reliable AI Systems is a comprehensive guide to creating LLM-based apps that are faster and more accurate. It takes you from training to production and beyond into the ongoing maintenance of an LLM. In each chapter, you’ll find in-depth code samples and hands-on projects—including building a RAG-powered chatbot and an agent created with LangChain. Deploying an LLM can be costly, so you’ll love the performance optimization techniques—prompt optimization, model compression, and quantization—that make your LLMs quicker and more efficient. Throughout, real-world case studies from e-commerce, healthcare, and legal work give concrete examples of how businesses have solved some of LLMs common problems.
AI Powered Search
Trey Grainger , Doug Turnbull , et al., Manning
other-key
AI-Powered Search teaches you to create a search that understands natural language and improves automatically the more it is used. As you work through… AI-Powered Search teaches you to create a search that understands natural language and improves automatically the more it is used. As you work through dozens of interesting and relevant examples, you’ll learn powerful AI-based techniques like semantic search on embeddings, question answering powered by LLMs, real-time personalization, and Retrieval Augmented Generation (RAG).
Looks Good to Me
Christophe De Greift, Manning
other-key
“Looks Good to Me” teaches the considerate, common sense approach to code reviews pioneered by author Adrienne Braganza. You’ll learn how to create a… “Looks Good to Me” teaches the considerate, common sense approach to code reviews pioneered by author Adrienne Braganza. You’ll learn how to create a cohesive team environment, align review goals and expectations clearly, and be prepared for any changes or obstacles you may face. Along the way, you’ll master practices that adapt to how your team does things, with multiple options and solutions, relatable scenarios, and personal tidbits. You’ll soon be running highly effective reviews that make your code—and your team—stronger.
The Art of AI Product Development
Dr. Janna Lipenkova, Manning
other-key
The Art of AI Product Development gives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI… The Art of AI Product Development gives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projects—even if you’re tackling AI for the first time. You’ll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability.
AI for Everyday IT
Chrissy LeMaire and Brandon Abshire, Manning
other-key
AI for Everyday IT shows you exactly how AI can transform support desk operations, root cause analysis, disaster recovery planning—even writing… AI for Everyday IT shows you exactly how AI can transform support desk operations, root cause analysis, disaster recovery planning—even writing professional emails when you’re too furious to be nice! This instantly-useful guide has time-saving techniques for all IT pros—from devs and DBAs to technical writers and product managers. Each relatable example is fully illustrated with the prompts and problem formulation strategies, along with interesting insights and anecdotes from authors Chrissy Lemaire and Brandon Abshire.
Effective Conversational AI
Andrew Freed , Eniko Rozsa, et al., Manning
other-key
Effective Conversational AI teaches you how to build great chatbots that perform reliably even at enterprise scale. In it, you’ll learn how to clarify… Effective Conversational AI teaches you how to build great chatbots that perform reliably even at enterprise scale. In it, you’ll learn how to clarify user intent using LLMs, respond accurately to unanticipated input, and use Retrieval Augmented Generation to keep responses up to date. Along the way, you’ll discover how to establish a feedback loop for continuous quality improvement and master techniques to integrate GenAI safely into conventional chatbot designs.
Generative AI in Action
Amit Bahree, Manning
other-key
Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely.… Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you’ll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You’ll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems.
Optimization Algorithms
Alaa Khamis, Manning
other-key
Optimization Algorithms explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy… Optimization Algorithms explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge AI techniques. You will learn how to apply modern optimization algorithms to real-world problems like pricing products, matching supply with demand, balancing assembly lines, tuning parameters, coordinating mobile networks, and cracking smart mobility challenges.
LLMs in Production
Christopher Brousseau and Matt Sharp, Manning
other-key
LLMs in Production teaches you how to develop an LLMOps plan that can take an AI app smoothly from design to delivery. You’ll learn techniques for… LLMs in Production teaches you how to develop an LLMOps plan that can take an AI app smoothly from design to delivery. You’ll learn techniques for preparing an LLM dataset, cost-efficient training hacks like LORA and RLHF, and industry benchmarks for model evaluation. Along the way, you’ll put your new skills to use in three exciting example projects: creating and training a custom LLM, building a VSCode AI coding extension, and deploying a small model to a Raspberry Pi.
AI Model Evaluation (MEAP)
Leemay Nassery, Manning
other-key
AI Model Evaluation teaches you how to effectively evaluate and assess machine learning models for better scaling and integration into production… AI Model Evaluation teaches you how to effectively evaluate and assess machine learning models for better scaling and integration into production systems. Each chapter tackles a different evaluation method. You'll start with offline evaluations, then move into live A/B tests, shadow traffic deployments, qualitative evaluations, and LLM-based feedback loops. You’ll learn how to evaluate both model behavior and engineering system performance, with a hands-on example grounded in a movie recommendation engine.
Build AI Drug Discovery Pipelines (MEAP)
Noah Flynn, Manning
other-key
Build AI Drug Discovery Pipelines introduces the fundamentals of drug discovery and cheminformatics along with the machine learning techniques used by… Build AI Drug Discovery Pipelines introduces the fundamentals of drug discovery and cheminformatics along with the machine learning techniques used by leaders in the pharmaceutical industry. Each chapter guides you through an engaging hands-on project that explores a real medical issue. You’ll build a full screening pipeline to assess a compound’s potential for treating malaria, reproduce published methods for HIV drug design, learn to use deep generative models for novel drug optimization, and see how LLMs can overcome common problems of protein folding.
Financial AI in Practice (MEAP)
Taehun Kim, Manning
other-key
Financial AI in Practice shows you how to deliver financial AI solutions that are more than just a few deployed algorithms. You’ll learn to build a… Financial AI in Practice shows you how to deliver financial AI solutions that are more than just a few deployed algorithms. You’ll learn to build a complete, compliant application using the kind of messy, imperfect data you'll encounter in industry. The book introduces around four complete, production-minded systems that handle the core tasks of credit, fraud, investment, and operational efficiency. You’ll build an end-to-end pipeline that assesses credit risk, use supervised, unsupervised, and graph-based models to detect fraud, and combine a quantitative model with LLM-powered news analyses for a hybrid investment strategy. As you build, you’ll master Taehun’s simple-but-powerful 4-Layer Framework, a mental model you can apply to any AI project in finance.
Machine Learning Platform Engineering
Benjamin Tan Wei Hao , Shanoop Padmanabhan, et al., Manning
other-key
Machine Learning Platform Engineering shows you how to build an effective IDP for ML and AI applications. Each chapter illuminates a vital part of the… Machine Learning Platform Engineering shows you how to build an effective IDP for ML and AI applications. Each chapter illuminates a vital part of the ML workflow, including setting up orchestration pipelines, selecting models, allocating resources for training, inference, and serving, and more. As you go, you’ll create a versatile modern platform using open source tools like Kubeflow, MLFlow, BentoML, Evidently, Feast, and LangChain.
Spring AI in Action
Craig Walls, Manning
other-key
In Spring AI in Action, bestselling author Craig Walls shows you how to build AI applications natively using Spring AI and Spring Boot. You’ll start… In Spring AI in Action, bestselling author Craig Walls shows you how to build AI applications natively using Spring AI and Spring Boot. You’ll start with a simple “Hello AI World” example and quickly advance to more sophisticated techniques, including RAG, AI agents, tool use, speech, and AI observability. You’ll see Craig’s practical example-driven approach—with a relentless emphasis on getting stuff done.
Transformers in Action
Nicole Koenigstein, Manning
other-key
Transformers in Action introduces you to transformers and large language models with careful attention to their design and mathematical underpinnings.… Transformers in Action introduces you to transformers and large language models with careful attention to their design and mathematical underpinnings. You’ll learn why architecture matters for speed, scale, and retrieval as you explore applications including RAG and multi-modal models. Along the way, you’ll discover how to optimize training and performance using advanced sampling and decoding techniques, use reinforcement learning to align models with human preferences, and more. The hands-on Jupyter notebooks and real-world examples ensure you’ll see transformers in action as you go.
Coding with AI
Jeremy Morgan, Manning
other-key
Coding with AI shows you how to gain massive benefits from a powerful array of AI-driven development tools and techniques. And it shares the insights… Coding with AI shows you how to gain massive benefits from a powerful array of AI-driven development tools and techniques. And it shares the insights and methods you need to use them effectively in professional projects. Following realistic examples, you’ll learn AI coding for database integration, designing a UI, and establishing an automated testing suite. You’ll even vibe code a game—but only after you’ve built a rock-solid foundation.
Build Financial Software with Generative AI (From Scratch)
Christopher Kardell and Mark Brouwer, Manning
other-key
Build Financial Software with Generative AI (From Scratch) guides you through modernizing a full-stack Automated Clearing House (ACH) application,… Build Financial Software with Generative AI (From Scratch) guides you through modernizing a full-stack Automated Clearing House (ACH) application, layer-by-layer. You’ll start with a quick review of FinTech basics and an introduction to GenAI tools. Then, you’ll develop a data visualization dashboard with React, containerize components with Docker, create and refine APIs, implement backend processing, and even design a custom database. Throughout, you’ll see how AI tools aid with coding, testing, research, security, documentation, and even Agile practices.
Software Testing with Generative AI
Mark Winteringham, Manning
other-key
Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory… Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory testing, and more! Learn how to use AI coding tools like Copilot to guide test-driven development, get relevant feedback about your applications from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll soon have higher-quality testing that takes up less of your time.
Interpretable AI
Ajay Thampi, Manning
other-key
Interpretable AI teaches you to identify the patterns your model has learned and why it produces its results. As you read, you’ll pick up… Interpretable AI teaches you to identify the patterns your model has learned and why it produces its results. As you read, you’ll pick up algorithm-specific approaches, like interpreting regression and generalized additive models, along with tips to improve performance during training. You’ll also explore methods for interpreting complex deep learning models where some processes are not easily observable. AI transparency is a fast-moving field, and this book simplifies cutting-edge research into practical methods you can implement with Python.
Learn AI Data Engineering (MEAP)
David Melillo, Manning
other-key
Learn AI Data Engineering teaches you to apply AI to the most important data engineering tasks. You’ll build a portfolio of hands-on projects, like… Learn AI Data Engineering teaches you to apply AI to the most important data engineering tasks. You’ll build a portfolio of hands-on projects, like querying the Pagila DVD rental database with ChatGPT, performing real-time sentiment analysis on news headlines, and even prototyping agentic workflows that simulate real business rules. With each lesson you’ll learn just enough theory to understand the why, and then immediately put it into practice.
Effective Platform Engineering
Ajay Chankramath , Sean Alvarez , et al., Manning
other-key
With Effective Platform Engineering you’ll be able to design, build, deploy, and scale a custom IDP. You’ll discover how platform engineering differs… With Effective Platform Engineering you’ll be able to design, build, deploy, and scale a custom IDP. You’ll discover how platform engineering differs from DevOps and learn to create a platform that evolves with changing requirements. Diagrams, code samples, and exercises help you visualize important concepts. Along the way, you’ll explore critical topics like gathering requirements and establishing realistic service level agreements (SLAs).
The AI Pocket Book
Emmanuel Maggiori, Manning
other-key
The AI Pocket Book takes a peek inside the AI black box and gives you just enough on key topics like transformers, hallucinations, and the modern… The AI Pocket Book takes a peek inside the AI black box and gives you just enough on key topics like transformers, hallucinations, and the modern ecosystem of AI models and tools. You’ll get handy techniques to select AI tools, learn when putting AI first is the smart move, and pick up some excellent tips for managing the inevitable, potentially expensive, screw ups.
Inside AI
Akli Adjaoute, Manning
other-key
Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language… Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications.
Human In The Loop Machine Learning
Robert (Munro) Monarch, Manning
other-key
Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting… Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You’ll learn to create training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Succeeding with AI
Veljko Krunic, Manning
other-key
Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This… Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author’s experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you’ll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification.
Pay £18.45 or more to also unlock!
LLMs in Production
Christopher Brousseau and Matt Sharp, Manning
other-key
LLMs in Production teaches you how to develop an LLMOps plan that can take an AI app smoothly from design to delivery. You’ll learn techniques for… LLMs in Production teaches you how to develop an LLMOps plan that can take an AI app smoothly from design to delivery. You’ll learn techniques for preparing an LLM dataset, cost-efficient training hacks like LORA and RLHF, and industry benchmarks for model evaluation. Along the way, you’ll put your new skills to use in three exciting example projects: creating and training a custom LLM, building a VSCode AI coding extension, and deploying a small model to a Raspberry Pi.
AI Model Evaluation (MEAP)
Leemay Nassery, Manning
other-key
AI Model Evaluation teaches you how to effectively evaluate and assess machine learning models for better scaling and integration into production… AI Model Evaluation teaches you how to effectively evaluate and assess machine learning models for better scaling and integration into production systems. Each chapter tackles a different evaluation method. You'll start with offline evaluations, then move into live A/B tests, shadow traffic deployments, qualitative evaluations, and LLM-based feedback loops. You’ll learn how to evaluate both model behavior and engineering system performance, with a hands-on example grounded in a movie recommendation engine.
Build AI Drug Discovery Pipelines (MEAP)
Noah Flynn, Manning
other-key
Build AI Drug Discovery Pipelines introduces the fundamentals of drug discovery and cheminformatics along with the machine learning techniques used by… Build AI Drug Discovery Pipelines introduces the fundamentals of drug discovery and cheminformatics along with the machine learning techniques used by leaders in the pharmaceutical industry. Each chapter guides you through an engaging hands-on project that explores a real medical issue. You’ll build a full screening pipeline to assess a compound’s potential for treating malaria, reproduce published methods for HIV drug design, learn to use deep generative models for novel drug optimization, and see how LLMs can overcome common problems of protein folding.
Financial AI in Practice (MEAP)
Taehun Kim, Manning
other-key
Financial AI in Practice shows you how to deliver financial AI solutions that are more than just a few deployed algorithms. You’ll learn to build a… Financial AI in Practice shows you how to deliver financial AI solutions that are more than just a few deployed algorithms. You’ll learn to build a complete, compliant application using the kind of messy, imperfect data you'll encounter in industry. The book introduces around four complete, production-minded systems that handle the core tasks of credit, fraud, investment, and operational efficiency. You’ll build an end-to-end pipeline that assesses credit risk, use supervised, unsupervised, and graph-based models to detect fraud, and combine a quantitative model with LLM-powered news analyses for a hybrid investment strategy. As you build, you’ll master Taehun’s simple-but-powerful 4-Layer Framework, a mental model you can apply to any AI project in finance.
Machine Learning Platform Engineering
Benjamin Tan Wei Hao , Shanoop Padmanabhan, et al., Manning
other-key
Machine Learning Platform Engineering shows you how to build an effective IDP for ML and AI applications. Each chapter illuminates a vital part of the… Machine Learning Platform Engineering shows you how to build an effective IDP for ML and AI applications. Each chapter illuminates a vital part of the ML workflow, including setting up orchestration pipelines, selecting models, allocating resources for training, inference, and serving, and more. As you go, you’ll create a versatile modern platform using open source tools like Kubeflow, MLFlow, BentoML, Evidently, Feast, and LangChain.
Spring AI in Action
Craig Walls, Manning
other-key
In Spring AI in Action, bestselling author Craig Walls shows you how to build AI applications natively using Spring AI and Spring Boot. You’ll start… In Spring AI in Action, bestselling author Craig Walls shows you how to build AI applications natively using Spring AI and Spring Boot. You’ll start with a simple “Hello AI World” example and quickly advance to more sophisticated techniques, including RAG, AI agents, tool use, speech, and AI observability. You’ll see Craig’s practical example-driven approach—with a relentless emphasis on getting stuff done.
Transformers in Action
Nicole Koenigstein, Manning
other-key
Transformers in Action introduces you to transformers and large language models with careful attention to their design and mathematical underpinnings.… Transformers in Action introduces you to transformers and large language models with careful attention to their design and mathematical underpinnings. You’ll learn why architecture matters for speed, scale, and retrieval as you explore applications including RAG and multi-modal models. Along the way, you’ll discover how to optimize training and performance using advanced sampling and decoding techniques, use reinforcement learning to align models with human preferences, and more. The hands-on Jupyter notebooks and real-world examples ensure you’ll see transformers in action as you go.
Coding with AI
Jeremy Morgan, Manning
other-key
Coding with AI shows you how to gain massive benefits from a powerful array of AI-driven development tools and techniques. And it shares the insights… Coding with AI shows you how to gain massive benefits from a powerful array of AI-driven development tools and techniques. And it shares the insights and methods you need to use them effectively in professional projects. Following realistic examples, you’ll learn AI coding for database integration, designing a UI, and establishing an automated testing suite. You’ll even vibe code a game—but only after you’ve built a rock-solid foundation.
Build Financial Software with Generative AI (From Scratch)
Christopher Kardell and Mark Brouwer, Manning
other-key
Build Financial Software with Generative AI (From Scratch) guides you through modernizing a full-stack Automated Clearing House (ACH) application,… Build Financial Software with Generative AI (From Scratch) guides you through modernizing a full-stack Automated Clearing House (ACH) application, layer-by-layer. You’ll start with a quick review of FinTech basics and an introduction to GenAI tools. Then, you’ll develop a data visualization dashboard with React, containerize components with Docker, create and refine APIs, implement backend processing, and even design a custom database. Throughout, you’ll see how AI tools aid with coding, testing, research, security, documentation, and even Agile practices.
Software Testing with Generative AI
Mark Winteringham, Manning
other-key
Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory… Software Testing with Generative AI shows you how AI can elevate every aspect of testing—automation, test data management, test scripting, exploratory testing, and more! Learn how to use AI coding tools like Copilot to guide test-driven development, get relevant feedback about your applications from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll soon have higher-quality testing that takes up less of your time.
Interpretable AI
Ajay Thampi, Manning
other-key
Interpretable AI teaches you to identify the patterns your model has learned and why it produces its results. As you read, you’ll pick up… Interpretable AI teaches you to identify the patterns your model has learned and why it produces its results. As you read, you’ll pick up algorithm-specific approaches, like interpreting regression and generalized additive models, along with tips to improve performance during training. You’ll also explore methods for interpreting complex deep learning models where some processes are not easily observable. AI transparency is a fast-moving field, and this book simplifies cutting-edge research into practical methods you can implement with Python.
Learn AI Data Engineering (MEAP)
David Melillo, Manning
other-key
Learn AI Data Engineering teaches you to apply AI to the most important data engineering tasks. You’ll build a portfolio of hands-on projects, like… Learn AI Data Engineering teaches you to apply AI to the most important data engineering tasks. You’ll build a portfolio of hands-on projects, like querying the Pagila DVD rental database with ChatGPT, performing real-time sentiment analysis on news headlines, and even prototyping agentic workflows that simulate real business rules. With each lesson you’ll learn just enough theory to understand the why, and then immediately put it into practice.
Effective Platform Engineering
Ajay Chankramath , Sean Alvarez , et al., Manning
other-key
With Effective Platform Engineering you’ll be able to design, build, deploy, and scale a custom IDP. You’ll discover how platform engineering differs… With Effective Platform Engineering you’ll be able to design, build, deploy, and scale a custom IDP. You’ll discover how platform engineering differs from DevOps and learn to create a platform that evolves with changing requirements. Diagrams, code samples, and exercises help you visualize important concepts. Along the way, you’ll explore critical topics like gathering requirements and establishing realistic service level agreements (SLAs).
The AI Pocket Book
Emmanuel Maggiori, Manning
other-key
The AI Pocket Book takes a peek inside the AI black box and gives you just enough on key topics like transformers, hallucinations, and the modern… The AI Pocket Book takes a peek inside the AI black box and gives you just enough on key topics like transformers, hallucinations, and the modern ecosystem of AI models and tools. You’ll get handy techniques to select AI tools, learn when putting AI first is the smart move, and pick up some excellent tips for managing the inevitable, potentially expensive, screw ups.
Inside AI
Akli Adjaoute, Manning
other-key
Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language… Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications.
Human In The Loop Machine Learning
Robert (Munro) Monarch, Manning
other-key
Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting… Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You’ll learn to create training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Succeeding with AI
Veljko Krunic, Manning
other-key
Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This… Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author’s experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you’ll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification.
Pay £7.38 to unlock!
Learn AI Data Engineering (MEAP)
David Melillo, Manning
other-key
Learn AI Data Engineering teaches you to apply AI to the most important data engineering tasks. You’ll build a portfolio of hands-on projects, like… Learn AI Data Engineering teaches you to apply AI to the most important data engineering tasks. You’ll build a portfolio of hands-on projects, like querying the Pagila DVD rental database with ChatGPT, performing real-time sentiment analysis on news headlines, and even prototyping agentic workflows that simulate real business rules. With each lesson you’ll learn just enough theory to understand the why, and then immediately put it into practice.
Effective Platform Engineering
Ajay Chankramath , Sean Alvarez , et al., Manning
other-key
With Effective Platform Engineering you’ll be able to design, build, deploy, and scale a custom IDP. You’ll discover how platform engineering differs… With Effective Platform Engineering you’ll be able to design, build, deploy, and scale a custom IDP. You’ll discover how platform engineering differs from DevOps and learn to create a platform that evolves with changing requirements. Diagrams, code samples, and exercises help you visualize important concepts. Along the way, you’ll explore critical topics like gathering requirements and establishing realistic service level agreements (SLAs).
The AI Pocket Book
Emmanuel Maggiori, Manning
other-key
The AI Pocket Book takes a peek inside the AI black box and gives you just enough on key topics like transformers, hallucinations, and the modern… The AI Pocket Book takes a peek inside the AI black box and gives you just enough on key topics like transformers, hallucinations, and the modern ecosystem of AI models and tools. You’ll get handy techniques to select AI tools, learn when putting AI first is the smart move, and pick up some excellent tips for managing the inevitable, potentially expensive, screw ups.
Inside AI
Akli Adjaoute, Manning
other-key
Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language… Inside AI provides a clear-headed overview of modern artificial intelligence, including the recent advances of Generative AI and Large Language Models. Its accessible and jargon-free explanations of leading AI techniques showcase how AI delivers tangible advantages to businesses. Both inspiring and practical, this book provides a proven framework for developing successful AI applications.
Human In The Loop Machine Learning
Robert (Munro) Monarch, Manning
other-key
Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting… Human-in-the-Loop Machine Learning lays out methods for humans and machines to work together effectively. You’ll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You’ll learn to create training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.
Succeeding with AI
Veljko Krunic, Manning
other-key
Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This… Succeeding with AI sets out a framework for planning and running cost-effective, reliable AI projects that produce real business results. This practical guide reveals secrets forged during the author’s experience with dozens of startups, established businesses, and Fortune 500 giants that will help you establish meaningful, achievable goals. In it you’ll master a repeatable process to maximize the return on data-scientist hours and learn to implement effectiveness metrics for keeping projects on track and resistant to calcification.