SKU: 83110618229

Metro Redux

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Description

Metro ReduxIn 2013 werd de wereld verwoest door een apocalyptische gebeurtenis, die bijna de hele mensheid vernietigde en het aardoppervlak in een giftige woestenij veranderde. Een handvol overlevenden zochten hun toevlucht in de diepten van de metro in Moskou en de menselijke beschaving trad een nieuwe donkere eeuw binnen. Het is het jaar 2033. Een hele generatie is geboren en opgegroeid onder de grond, en hun belegerde Metro Station Steden worstelen om te

In 2013 werd de wereld verwoest door een apocalyptische gebeurtenis, die bijna de hele mensheid vernietigde en het aardoppervlak in een giftige woestenij veranderde.

Een handvol overlevenden zochten hun toevlucht in de diepten van de metro in Moskou en de menselijke beschaving trad een nieuwe donkere eeuw binnen.Het is het jaar 2033. Een hele generatie is geboren en opgegroeid onder de grond, en hun belegerde Metro Station-Steden worstelen om te overleven, met elkaar, en de gemuteerde verschrikkingen die buiten wachten.Jij bent Artyom, geboren in de laatste dagen voor het vuur, maar ondergronds opgegroeid.

Nooit buiten de stadsgrenzen geweest, veroorzaakt een noodlottige gebeurtenis een wanhopige missie in het hart van het Metro-systeem, om de restanten van de mensheid te waarschuwen voor een verschrikkelijke dreiging.Maar zullen ze wel luisteren? In plaats van verenigd te zijn, zijn de facties van de Metro gevangen in een strijd om de ultieme macht, een doemsdag-apparaat uit de militaire gewelven van D6. Er broedt een burgeroorlog die de mensheid voor altijd van de aardbodem kan vegen.

Metro Redux is de ultieme verzameling, inclusief de definitieve versies van Metro 2033 en Metro: Last Light, nu beschikbaar op Nintendo Switch ™

Dompel jezelf onder in de Metro van Moskou - zie een van de meest sfeervolle werelden in gaming tot leven gebracht op Nintendo Switch ™

Trotseer de gruwelen van de Russische apocalyps - rust je gasmasker en een arsenaal aan handgemaakte wapens uit terwijl je wordt geconfronteerd met de dreiging van dodelijke mutanten, menselijke vijanden en de angstaanjagende omgeving zelf

Twee campagnes, en alle DLC inbegrepen - Metro Redux bevat twee complete campagnes die samen één episch solo-avontuur creëren, plus nog eens 10 uur bonusinhoud. Twee unieke speelstijlen en Ranger-modus zorgen voor uren meer afspeelbaarheid!

Twee unieke speelstijlen: ‘Spartan’ en ‘Survival’ - benader de campagne als een slopende Survival Horror ervaring, of pak het aan met de vechtkunsten van een Spartan Ranger in deze twee unieke modi

De legendarische Ranger-modus is terug - durf je de angstaanjagende Ranger-modus te spelen? Geen HUD, UI, dodelijkere gevechten en beperkte middelen worden gecombineerd om de ultieme meeslepende ervaring te creëren

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SKU: 83110618229

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4.8 ★★★★★
Based on 13 reviews
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A
Verified Purchase
Amazon Customer
Bozeman, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Lowell, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Pawtucket, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Charlottesville, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
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Reviewed in the United States on March 1, 2022
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Verified Purchase
Gabe Rigall
Bozeman, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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