Verleger: 8
Andrzej Boruszewski
Nie, nie śniła mu się, w każdym razie nic mu o tym nie wiadomo. Dlaczego więc o niej pomyślał, gdy się obudził? Przecież nie z powodu wyrzutów sumienia, bo tych nie powinien mieć. Nie powinien, czyli ma? Do diabła z tym. Jest środek lata, dokładnie dwudziesty lipca, przez ostatnie dziesięć lat nikt nie zginął, nikogo nie zamordowała żadna stara baba i żaden pieprzony łoś – to są wystarczające powody, żeby się uśmiechnąć do pękniętej żyłki Tomczewskiej. Na sali sądowej doprowadził ją do takiego stanu, że dostała wylewu i jeśli teraz w ogóle gdzieś miesza, to w ośrodku leczniczo-rehabilitacyjnym. Jedyne, co może zrobić, to podciąć komuś nogę albo napluć do kawy. Nie udowodnił kobiecie winy, ale przynajmniej pozbył się jej z miasta. Łosia chyba też, skoro od tego czasu w Typinie panuje spokój. W Typinie tak, ale nie w jego głowie. To przez ten sen. Grzmoty, błyskawice, jakieś krzyki, wrzaski, szczęk żelaza… Nie miał pojęcia co to było. I po to po aferze z Tomczewską zgodził się iść na emeryturę, żeby teraz psuły mu humor takie głupie sny? Ci, którzy znają dwie pierwsze części, wiedzą o co chodzi. Tym, którzy nie znają, nie powinno to przeszkadzać. (Chociaż lepiej czytać po kolei.) Tym razem narzędziem zbrodni jest prąd elektryczny. Pomimo tego, że łosie rzadko go używają, łoś z ulewskich lasów - obok Peruna, słowiańskiego boga błyskawicy i pioruna - znowu staje się jednym z podejrzanych. Dobrej zabawy życzy autor.
David Ping
When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases.By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.
David Ping
When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one.You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch.Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases.By the end of this audiobook, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.
David Ping
David Ping, Head of GenAI and ML Solution Architecture for global industries at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills.You'll learn about ML algorithms, cloud infrastructure, system design, MLOps , and how to apply ML to solve real-world business problems. David explains the generative AI project lifecycle and examines Retrieval Augmented Generation (RAG), an effective architecture pattern for generative AI applications. You’ll also learn about open-source technologies, such as Kubernetes/Kubeflow, for building a data science environment and ML pipelines before building an enterprise ML architecture using AWS. As well as ML risk management and the different stages of AI/ML adoption, the biggest new addition to the handbook is the deep exploration of generative AI.By the end of this book , you’ll have gained a comprehensive understanding of AI/ML across all key aspects, including business use cases, data science, real-world solution architecture, risk management, and governance. You’ll possess the skills to design and construct ML solutions that effectively cater to common use cases and follow established ML architecture patterns, enabling you to excel as a true professional in the field.
Hyatt Saleh
Machine learning algorithms are an integral part of almost all modern applications. To make the learning process faster and more accurate, you need a tool flexible and powerful enough to help you build machine learning algorithms quickly and easily. With The Machine Learning Workshop, you'll master the scikit-learn library and become proficient in developing clever machine learning algorithms.The Machine Learning Workshop begins by demonstrating how unsupervised and supervised learning algorithms work by analyzing a real-world dataset of wholesale customers. Once you've got to grips with the basics, you'll develop an artificial neural network using scikit-learn and then improve its performance by fine-tuning hyperparameters. Towards the end of the workshop, you'll study the dataset of a bank's marketing activities and build machine learning models that can list clients who are likely to subscribe to a term deposit. You'll also learn how to compare these models and select the optimal one.By the end of The Machine Learning Workshop, you'll not only have learned the difference between supervised and unsupervised models and their applications in the real world, but you'll also have developed the skills required to get started with programming your very own machine learning algorithms.
Herta Nava
Apple is pushing the capabilities of its technologies to help users achieve high performance, including improvements in its OS running across all Mac systems, macOS, and new technologies such as M1 Silicon chips. This book walks you through macOS from a system administration and support point of view, exploring its latest features.The book starts by explaining macOS architecture, installation, and startup processes to enable you to get started with the OS. You'll learn how to manage users and discover techniques for user security and privacy. Moving on, you'll get to grips with the macOS file system and learn to manage disks, volumes, and partitions for effective file management. Most of the examples covered in this book are from an administrator's perspective; however, when relevant, a standard user's perspective is also presented. You'll find illustrations for Mac systems running macOS 11 (Big Sur), and when necessary, for macOS 10.15 (macOS Catalina). Finally, you'll explore advanced topics such as networking and using command-line tools for administration tasks.By the end of this macOS book, you'll be well-versed with macOS features, administration tasks, and best practices. You'll also be able to apply the concepts to increase your chances of success in obtaining Apple certifications such as Apple Certified Support Professional (ACSP).
Edgar Rice Burroughs
“The Mad King“ is a novel by Edgar Rice Burroughs, an American fiction writer, who created such great characters as Tarzan and John Carter of Mars. Set in the fictional European kingdom of Lutha, the protagonist is a young American named Barney Custer, of Beatrice, Nebraska, who is the son of an American farmer and a runaway Luthan princess, Victoria Rubinroth. Unaware of his royal blood, much less that he is a dead ringer for his relative Leopold, the current king of Lutha, Barney visits Lutha on the eve of the First World War to see for himself his mother's native land.
R. Austin Freeman
The Magic Casket Thorndike solves the mystery of the box in order to locate a jewel stolen from a client and get rid of the dastardly Japanese who are after them in every way.