Programowanie
The Official MongoDB Guide. Resilience, scalability, security and performance
Rachelle Palmer, Jeffrey Allen, Parker Faucher, Alison...
Delivering secure, scalable, and high-performance applications is never easy, especially when systems must handle growth, protect sensitive data, and perform reliably under pressure. The Official MongoDB Guide addresses these challenges with guidance from MongoDB’s top subject matter experts, so you learn proven best practices directly from those who know the technology inside out.This book takes you from core concepts and architecture through to advanced techniques for data modeling, indexing, and query optimization, supported by real-world patterns that improve performance and resilience. It offers practical coverage of developer tooling, IDE integrations, and AI-assisted workflows that will help you work faster and more effectively.Security-focused chapters walk you through authentication, authorization, encryption, and compliance, while chapters dedicated to MongoDB Atlas showcase its robust security features and demonstrate how to deploy, scale, and leverage platform-native capabilities such as Atlas Search and Atlas Vector Search.By the end of this book, you’ll be able to design, build, and manage MongoDB applications with the confidence that comes from learning directly from the experts shaping the technology.*Email sign-up and proof of purchase required
George Hantzaras
Platform engineering offers solutions to multiple problems, in an era where scaling software and operations is more challenging than ever. The Platform Engineering Playbook is a meticulously crafted practical guide that covers the fundamentals, strategies, tools, and best practices of platform engineering.The book introduces the basics of infrastructure management and DevOps approaches that lead you to platform engineering and related advanced concepts like automating infrastructure for enhancing developers’ experience, and ensuring security and compliance at scale. You’ll learn how to design and build a complete Internal Developer Platform (IDP) using cloud-native tools, such as Kubernetes, Crossplane, Backstage, and ArgoCD. You’ll explore platform teams in-depth including why they are essential and how they can transform the efficiency of your engineering team and assist them in dealing with Observability (using Prometheus, Thanos, Open Telemetry, etc.) and security issues. You'll understand the importance of platform engineering as a critical component in the modern software development through real-world use cases from top IT companies.After reading this book, you’ll be able to confidently establish and manage a platform engineering team and design an internal developer platform using cloud native tools.
Ajay Chankramath, Angelic Gibson
The Platform Engineer’s Handbook equips senior engineers and DevOps professionals to deliver developer-friendly infrastructure with automation, speed, AI acceleration, and intelligence. Starting with a blank slate, you’ll build a complete, modern platform that runs locally on your laptop, learning real-world patterns as you go.In this handbook, you’ll follow a structured, progressive journey, beginning with source control governance and branching strategies, then deploying a Kubernetes-based runtime, embedding observability, and securing platform access. You’ll implement self-service onboarding, CI/CD as a service, and developer portals with Backstage. Later chapters introduce infrastructure blueprints, policy as code, FinOps observability, and AI-augmented platform services such as agent-based onboarding and copilots for pipeline creation.Each chapter combines core concepts, lab-based exercises, and production-ready best practices to provide a comprehensive understanding of the subject matter. By the end, you'll have a working MVP platform and the skills to adapt and scale it for your team or organization.
IT Governance Publishing, Jamie Lynn Cooke
Agile frameworks have revolutionized the way business analysis is integrated into projects, but the role of the Agile business analyst is still evolving. This book explores how business analysts can thrive within Agile teams, offering insights into both the challenges and opportunities they face. By understanding the power and limitations of Agile, the reader will gain practical tools to not only survive but thrive in an Agile environment. The text outlines why having a dedicated Agile business analyst is crucial and provides actionable advice on how to build the right team and minimize risks. The author goes beyond theory to offer concrete steps that help business analysts add value to Agile projects. The reader will walk away with a deep understanding of the evolving Agile landscape, including the critical role of business analysis and practical tips for improving team dynamics, managing risks, and maximizing value. This book is perfect for professionals looking to integrate Agile business analysis into their teams and projects to achieve better outcomes and continuous improvement.
The Professional Scrum Master Guide. The unofficial guide to Scrum with real-world projects
Fred Heath
This book demonstrates the real-world applications of Scrum in a variety of scenarios, all with practical examples. You’ll understand why the structure of your Scrum team matters, and how to create and manage sprint and product backlogs. Each chapter concludes with relevance to the exam, reinforcing what you’ve learned as you work through the book and making sure you have an edge when it comes to earning your certificate.The statements made and opinions expressed herein belong exclusively to Packt Publishing Ltd and are not shared by or represent the viewpoint of Scrum.org. This training does not constitute an endorsement of any product, service or point of view. Scrum.org makes no representations, warranties or assurances of any kind, express or implied, as to the completeness, accuracy, reliability, suitability, availability or currency of the content contained in this presentation or any material related to this presentation. In no event shall Scrum.org, its agents, officers, employees, licensees or affiliates be liable for any damages whatsoever (including, without limitation, damages for loss of profits, business information, or loss of information) arising out of the information or statements contained in the training. Any reliance you place on such content is strictly at your own risk.
Tobias Zwingmann, Armand Ruiz
Artificial Intelligence has the power to dramatically enhance business performance—but knowing where to begin can be overwhelming. The Profitable AI Advantage offers a clear, actionable roadmap for business leaders, entrepreneurs, and CTOs to identify, design, and scale profitable AI initiatives. You'll learn how AI expands margins by reducing costs, increasing throughput, minimizing risk, and unlocking new revenue streams—without incurring proportional costs.Instead of relying on complex financial models, this guide presents simple thresholds, cost caps, and quick-sizing techniques you can apply to your own financials. The book moves efficiently from foundational AI concepts to practical applications, covering predictive AI, generative AI, and agent-based tools.Frameworks like the Pain Points and Bottlenecks Canvas and the Integration-Automation AI Framework help you identify high-impact opportunities, design use cases, build roadmaps, and prototype solutions quickly and cost-effectively. With real-world case studies from seasoned AI expert Tobias Zwingmann, you’ll sidestep pitfalls, streamline implementation, and drive measurable P&L impact.By the end, you’ll be equipped to scale AI strategically, align your teams, and boost decision-making, productivity, and competitive edge.
The Python Apprentice. Introduction to the Python Programming Language
Robert Smallshire, Austin Bingham
Experienced programmers want to know how to enhance their craft and we want to help them start as apprentices with Python. We know that before mastering Python you need to learn the culture and the tools to become a productive member of any Python project. Our goal with this book is to give you a practical and thorough introduction to Python programming, providing you with the insight and technical craftsmanship you need to be a productive member of any Python project. Python is a big language, and it’s not our intention with this book to cover everything there is to know. We just want to make sure that you, as the developer, know the tools, basic idioms and of course the ins and outs of the language, the standard library and other modules to be able to jump into most projects.
Andrew Bird, Dr. Lau Cher Han, Mario...
Have you always wanted to learn Python, but never quite known how to start?More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial.The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code.As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior.You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations. By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms.By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python.
Brandon Richey , Ryan Yu , Endre...
Are you interested in how React takes command of the view layer for web and mobile apps and changes the data of large web applications without needing to reload the page? This workshop will help you learn how and show you how to develop and enhance web apps using the features of the React framework with interesting examples and exercises.The workshop starts by demonstrating how to create your first React project. You’ll tap into React’s popular feature JSX to develop templates and use DOM events to make your project interactive. Next, you’ll focus on the lifecycle of the React component and understand how components are created, mounted, unmounted, and destroyed. Later, you’ll create and customize components to understand the data flow in React and how props and state communicate between components. You’ll also use Formik to create forms in React to explore the concept of controlled and uncontrolled components and even play with React Router to navigate between React components. The chapters that follow will help you build an interesting image-search app to fetch data from the outside world and populate the data to the React app. Finally, you’ll understand what ref API is and how it is used to manipulate DOM in an imperative way.By the end of this React book, you’ll have the skills you need to set up and create web apps using React.
Alessandro Palmas , Emanuele Ghelfi , Dr....
Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models.Starting with an introduction to RL, youÔÇÖll be guided through different RL environments and frameworks. YouÔÇÖll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once youÔÇÖve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, youÔÇÖll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, youÔÇÖll find out when to use a policy-based method to tackle an RL problem.By the end of The Reinforcement Learning Workshop, youÔÇÖll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning.
Alessandro Palmas , Emanuele Ghelfi , Dr....
Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models.Starting with an introduction to RL, youÔÇÖll be guided through different RL environments and frameworks. YouÔÇÖll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once youÔÇÖve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, youÔÇÖll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, youÔÇÖll find out when to use a policy-based method to tackle an RL problem.By the end of The Reinforcement Learning Workshop, youÔÇÖll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning.
Glenn Smith, Tim Jackson, Gez Smith, Andrew...
Scaling Agile is a complex undertaking, and the SAFe® Release Train Engineer (RTE) is key to its success. Written by three SPCT-certified experts with over 20 years of experience each, this book is your essential guide to mastering the RTE role.You’ll learn how to differentiate the RTE role from Scrum Masters and PMOs and understand how to enable flow across the Agile Release Train (ART). The book walks you through every critical phase of PI Planning, including pre-planning logistics, live and online facilitation, and post-planning execution. You’ll also explore advanced areas, such as working with Solution Trains, Lean Portfolio Management, and the Lean-Agile Center of Excellence (LACE).With real-world examples, tips, and a guided approach, this book builds your competence and confidence, from launching new ARTs to running effective System Demos and Inspect and Adapt workshops. It also offers exam prep tips for SAFe RTE certification and insights on coaching PI execution and delivery improvements.By the end of this book, you’ll be equipped to lead ARTs with authority, drive meaningful change in your organization, and expand your influence across the enterprise.*Email sign-up and proof of purchase required
Paola Annis, Giuliano Caglio
Cloud teams and ICT cost controllers working with Azure will be able to put their knowledge to work with this practical guide, introducing a process model for structured cost governance. The Road to Azure Cost Governance is a must-read if you find yourself facing the harsh reality of monthly cloud costs gradually getting out of control.Starting with how resources are created and managed, everything you need to know in order to track, display, optimize, rightsize, and clean up cloud resources will be tackled with a workflow approach that will leave the choice of operation to you (be it the Azure CLI, automation, logic apps, or even custom code). Using real-world datasets, you'll learn everything from basic cost management to modeling your cloud spend across your technical resources in a sustainable way. The book will also show you how to create a recursive optimization process that will give you full control of spending and savings, while helping you reserve budget for future cloud projects and innovation.By the end of this Azure book, you'll have a clear understanding and control of your cloud spend along with knowledge of a number of cost-saving techniques used by companies around the world, application optimization patterns, and the carbon impact of your cloud infrastructure.
Paola Annis, Giuliano Caglio
Cloud teams and ICT cost controllers working with Azure will be able to put their knowledge to work with this practical guide, introducing a process model for structured cost governance. The Road to Azure Cost Governance is a must-read if you find yourself facing the harsh reality of monthly cloud costs gradually getting out of control.Starting with how resources are created and managed, everything you need to know in order to track, display, optimize, rightsize, and clean up cloud resources will be tackled with a workflow approach that will leave the choice of operation to you (be it the Azure CLI, automation, logic apps, or even custom code). Using real-world datasets, you'll learn everything from basic cost management to modeling your cloud spend across your technical resources in a sustainable way. The book will also show you how to create a recursive optimization process that will give you full control of spending and savings, while helping you reserve budget for future cloud projects and innovation.By the end of this Azure book, you'll have a clear understanding and control of your cloud spend along with knowledge of a number of cost-saving techniques used by companies around the world, application optimization patterns, and the carbon impact of your cloud infrastructure.
Akshat Paul, Peter Philips, Dániel Szabó ,...
The beauty of Ruby is its readability and expressiveness. Ruby hides away a lot of the complexity of programming, allowing you to work quickly and 'do more' with fewer lines of code. This makes it a great programming language for beginners, but learning any new skill can still be a daunting task. If you want to learn to code using Ruby, but don't know where to start, The Ruby Workshop will help you cut through the noise and make sense of this fun, flexible language.You'll start by writing and running simple code snippets and Ruby source code files. After learning about strings, numbers, and booleans, you'll see how to store collections of objects with arrays and hashes. You'll then learn how to control the flow of a Ruby program using boolean logic.The book then delves into OOP and explains inheritance, encapsulation, and polymorphism. Gradually, you'll build your knowledge of advanced concepts by learning how to interact with external APIs, before finally exploring the most popular Ruby framework ? Ruby on Rails ? and using it for web development.Throughout this book, you'll work on a series of realistic projects, including simple games, a voting application, and an online blog. By the end of this Ruby book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Ruby.
The Rust Programming Handbook. An end-to-end guide to mastering Rust fundamentals
Francesco Ciulla
The Rust Programming Handbook is a deeply engaging and meticulously crafted book designed to immerse programmers into the intricate world of Rust’s core principles and sophisticated features. This book not only enhances your coding skills but also prepares you to tackle complex challenges in software development, optimizing your code for better performance and reliability.You will explore Rust’s powerful concurrency models, rigorous memory safety guarantees, and its versatile trait system. Discover the foundational elements that make Rust a standout language for developing safe and efficient applications. The book will show you how these core principles can seamlessly transition into real-world applications. You will learn how to apply Rust's capabilities to systems programming and web development, extending the reach of its safety and efficiency benefits across different programming domains. Whether it's creating low-level system components or high-performance web services, the book provides practical examples to integrate Rust effectively into a variety of projects.Elevate your coding skills and become a sought-after professional in the tech industry with this essential guide. Rust from Beginner to Professional is your definitive toolkit for mastering advanced Rust programming techniques and writing high-quality code.
The Rust Programming Handbook. An end-to-end guide to mastering Rust fundamentals
Francesco Ciulla
The Rust Programming Handbook is a deeply engaging and meticulously crafted book designed to immerse programmers into the intricate world of Rust’s core principles and sophisticated features. This book not only enhances your coding skills but also prepares you to tackle complex challenges in software development, optimizing your code for better performance and reliability.You will explore Rust’s powerful concurrency models, rigorous memory safety guarantees, and its versatile trait system. Discover the foundational elements that make Rust a standout language for developing safe and efficient applications. The book will show you how these core principles can seamlessly transition into real-world applications. You will learn how to apply Rust's capabilities to systems programming and web development, extending the reach of its safety and efficiency benefits across different programming domains. Whether it's creating low-level system components or high-performance web services, the book provides practical examples to integrate Rust effectively into a variety of projects.Elevate your coding skills and become a sought-after professional in the tech industry with this essential guide. Rust from Beginner to Professional is your definitive toolkit for mastering advanced Rust programming techniques and writing high-quality code.
Fred Heath
Curious why so many rely on Scrum and what makes Agile so effective? Learn from seasoned software engineer and Scrum expert Fred Heath, everything you need to become a certified Scrum Master. With over two decades of experience across the software development lifecycle, Fred brings invaluable insights from his extensive work in Scrum, both as a Scrum Master and developer. In this updated guide, he not only takes you from Scrum basics to mastery but also offers practical, real-world knowledge to help you become an effective Scrum Master.The first part of the book introduces the Scrum fundamentals and prepares you for Level I certification, covering the importance of Scrum team structure, the benefits of well-planned sprints, and how to create and manage sprint and product backlogs.The second part elevates your skills to the Level II certification standard, exploring advanced topics such as Scrum anti-patterns, scaling Scrum, and how to support developers and product owners. Each chapter concludes with quizzes to reinforce the concepts you've learned. The book wraps up with exam preparation tips and myth-busting strategies to give you a competitive edge in passing your Scrum Master exams.By the end of this book, you'll be proficient as a Scrum Master ensuring you won’t fall behind in an ever-increasingly agile world.
Dr. Logan Song, Yu Meng
As cloud computing continues to revolutionize IT, professionals face the challenge of keeping up with rapidly evolving technologies. This book provides a clear roadmap for mastering cloud concepts, developing hands-on expertise, and obtaining professional certifications, making it an essential resource for those looking to advance their careers in cloud computing.Starting with a focus on the Amazon cloud, you’ll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Through hands-on projects and real-world applications, you’ll gain the skills needed to work confidently across different cloud platforms. The book concludes with career development guidance, including certification paths and industry insights to help you succeed in the cloud computing landscape.Walking through this cloud computing book, you’ll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.
Peter Farrell , Alvaro Fuentes , Ajinkya...
Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python.The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions.By the end of this book, you’ll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges.
Liu Peng
The Statistics and Machine Learning with R Workshop is a comprehensive resource packed with insights into statistics and machine learning, along with a deep dive into R libraries. The learning experience is further enhanced by practical examples and hands-on exercises that provide explanations of key concepts.Starting with the fundamentals, you’ll explore the complete model development process, covering everything from data pre-processing to model development. In addition to machine learning, you’ll also delve into R's statistical capabilities, learning to manipulate various data types and tackle complex mathematical challenges from algebra and calculus to probability and Bayesian statistics. You’ll discover linear regression techniques and more advanced statistical methodologies to hone your skills and advance your career.By the end of this book, you'll have a robust foundational understanding of statistics and machine learning. You’ll also be proficient in using R's extensive libraries for tasks such as data processing and model training and be well-equipped to leverage the full potential of R in your future projects.
Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston,...
Would you like to understand how and why machine learning techniques and data analytics are spearheading enterprises globally? From analyzing bioinformatics to predicting climate change, machine learning plays an increasingly pivotal role in our society.Although the real-world applications may seem complex, this book simplifies supervised learning for beginners with a step-by-step interactive approach. Working with real-time datasets, you’ll learn how supervised learning, when used with Python, can produce efficient predictive models.Starting with the fundamentals of supervised learning, you’ll quickly move to understand how to automate manual tasks and the process of assessing date using Jupyter and Python libraries like pandas. Next, you’ll use data exploration and visualization techniques to develop powerful supervised learning models, before understanding how to distinguish variables and represent their relationships using scatter plots, heatmaps, and box plots. After using regression and classification models on real-time datasets to predict future outcomes, you’ll grasp advanced ensemble techniques such as boosting and random forests. Finally, you’ll learn the importance of model evaluation in supervised learning and study metrics to evaluate regression and classification tasks.By the end of this book, you’ll have the skills you need to work on your real-life supervised learning Python projects.
Matthew Moocarme, Abhranshu Bagchi, Anthony So ,...
Getting to grips with tensors, deep learning, and neural networks can be intimidating and confusing for anyone, no matter their experience level. The breadth of information out there, often written at a very high level and aimed at advanced practitioners, can make getting started even more challenging.If this sounds familiar to you, The TensorFlow Workshop is here to help. Combining clear explanations, realistic examples, and plenty of hands-on practice, it’ll quickly get you up and running.You’ll start off with the basics – learning how to load data into TensorFlow, perform tensor operations, and utilize common optimizers and activation functions. As you progress, you’ll experiment with different TensorFlow development tools, including TensorBoard, TensorFlow Hub, and Google Colab, before moving on to solve regression and classification problems with sequential models.Building on this solid foundation, you’ll learn how to tune models and work with different types of neural network, getting hands-on with real-world deep learning applications such as text encoding, temperature forecasting, image augmentation, and audio processing.By the end of this deep learning book, you’ll have the skills, knowledge, and confidence to tackle your own ambitious deep learning projects with TensorFlow.
Dr. Gabriel N. Schenker
Containers have become the foundation of modern software platforms, transforming how applications are built, shipped, secured, and operated. However, as systems grow more distributed and regulated, using containers effectively requires more than basic commands; it requires architectural understanding, security awareness, and operational discipline.The Ultimate Docker Container Book, Fourth Edition, takes you from container fundamentals to running production-grade platforms. Starting from first principles, the book explains how containers reduce friction in the software supply chain and progressively introduces images, networking, state management, testing, and debugging. You will learn how to design and operate distributed applications, manage multi-service systems, and apply orchestration using Kubernetes. This fourth edition places a stronger emphasis on security, governance, and compliance, reflecting real-world enterprise requirements. It also explores AI and automation in DevOps, showing how modern teams can enhance delivery and operations responsibly.Whether you are a developer, DevOps engineer, platform engineer, or software architect, this book equips you with the skills and understanding needed to build secure, scalable, and future-ready container platforms.
Dr. Gabriel N. Schenker
The Ultimate Docker Container Book, 3rd edition enables you to leverage Docker containers for streamlined software development. You’ll uncover Docker fundamentals and how containers improve software supply chain efficiency and enhance security.You’ll start by learning practical skills such as setting up Docker environments, handling stateful components, running and testing code within containers, and managing Docker images. You’ll also explore how to adapt legacy applications for containerization and understand distributed application architecture. Next, you’ll delve into Docker's networking model, software-defined networks for secure applications, and Docker compose for managing multi-service applications along with tools for log analysis and metrics. You’ll further deepen your understanding of popular orchestrators like Kubernetes and Docker swarmkit, exploring their key concepts, and deployment strategies for resilient applications. In the final sections, you’ll gain insights into deploying containerized applications on major cloud platforms, including Azure, AWS, and GCE and discover techniques for production monitoring and troubleshooting.By the end of this book, you’ll be well-equipped to manage and scale containerized applications effectively.
Aaron Jones , Christopher Kruger , Benjamin...
Do you find it difficult to understand how popular companies like WhatsApp and Amazon find valuable insights from large amounts of unorganized data? The Unsupervised Learning Workshop will give you the confidence to deal with cluttered and unlabeled datasets, using unsupervised algorithms in an easy and interactive manner.The book starts by introducing the most popular clustering algorithms of unsupervised learning. You'll find out how hierarchical clustering differs from k-means, along with understanding how to apply DBSCAN to highly complex and noisy data. Moving ahead, you'll use autoencoders for efficient data encoding.As you progress, you’ll use t-SNE models to extract high-dimensional information into a lower dimension for better visualization, in addition to working with topic modeling for implementing natural language processing (NLP). In later chapters, you’ll find key relationships between customers and businesses using Market Basket Analysis, before going on to use Hotspot Analysis for estimating the population density of an area.By the end of this book, you’ll be equipped with the skills you need to apply unsupervised algorithms on cluttered datasets to find useful patterns and insights.
Michaël Hoarau
Being a business analyst and data scientist, you have to use many algorithms and approaches to prepare, process, and build ML-based applications by leveraging time series data, but you face common problems, such as not knowing which algorithm to choose or how to combine and interpret them. Amazon Web Services (AWS) provides numerous services to help you build applications fueled by artificial intelligence (AI) capabilities. This book helps you get to grips with three AWS AI/ML-managed services to enable you to deliver your desired business outcomes.The book begins with Amazon Forecast, where you’ll discover how to use time series forecasting, leveraging sophisticated statistical and machine learning algorithms to deliver business outcomes accurately. You’ll then learn to use Amazon Lookout for Equipment to build multivariate time series anomaly detection models geared toward industrial equipment and understand how it provides valuable insights to reinforce teams focused on predictive maintenance and predictive quality use cases. In the last chapters, you’ll explore Amazon Lookout for Metrics, and automatically detect and diagnose outliers in your business and operational data.By the end of this AWS book, you’ll have understood how to use the three AWS AI services effectively to perform time series analysis.