Publisher: 8
Marcus de Maria
Marzeniem każdego jest osiągnięcie wolności finansowej, ale nie każdy działa tak, by faktycznie to zrealizować! Kluczem, oprócz oczywiście silnej motywacji i samozaparcia jest strategia, która ukierunkuje Twoje działania. Biorąc pod uwagę fakt, że nie jesteś zawodowym Traderem tylko inwestujesz w wolnych chwilach potrzebujesz dopasowanej do Twojego stylu życia strategii, która jednocześnie będzie prosta i przejrzysta.
B.M. Bower
Take a trip along the dusty byways of the Old West in this book from renowned author B.M. Bowers. Phil Thurston was born on the range where the trails are dim and silent under the big sky. It was the place his father loved, the place he had to be. After the death of his father when he was five, his mother brought him back to the city, where he grew up and became a writer. To revive his stale writing, he returns to the West, and may just find what he is really missing. Thurston learns many a lesson while following The Lure of the Dim Trails but the hardest, and probably the most welcome, is that of love.
Guy Boothby
Each person at some point in his life begins an adventure, after which he is destined to look back with a sensation very close to surprise. Someone said that adventure is for adventure. The vocation of a sailor in these times of giant steamboats is so much different from what it was in the old days of sailing ships and long voyages, that with the most ordinary luck, a person could easily climb along the ridges from the apprentice to the skipper less danger than that with which one might come across at the merchants London office.
Harold Bindloss
Kings sometimes get bored too, and they want diversity. After all, they have everything they want. Similarly, our main character, the king, wanted to leave the comfort zone and went on a journey, leaving his wife. However, it can be said that the pudding quickly came to an end and he goes to prison. The king sends a message to his wife, where he asks him to disguise himself as a boy and save him.
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.