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Description
PS5 Monster Hunter Wilds (R3)Monster Hunter Wilds Experience the most evolved and immersive Monster Hunter game yet. Prepare to explore a wild and unrelenting new frontier featuring dynamic, ever changing environments. Monster Hunter Wilds is a story of monsters and humans co existing in the Forbidden Lands, a world with two faces: one in which the lands are harsh and unforgiving, where monsters fight for scant resources, and another in which the lands are vibrant and brimming
Monster Hunter Wilds
Experience the most evolved and immersive Monster Hunter game yet.
Prepare to explore a wild and unrelenting new frontier featuring dynamic, ever-changing environments.
Monster Hunter Wilds is a story of monsters and humans co-existing in the Forbidden Lands, a world with two faces: one in which the lands are harsh and unforgiving, where monsters fight for scant resources, and another in which the lands are vibrant and brimming with life.
Play as a professional monster hunter assigned to the Forbidden Lands Research Commission, tasked with protecting the balance of the ecosystem and hunting monsters. Use the resources you gain from hunts to craft ever more powerful weapons and armour in your quest to unravel the mysteries of the new lands.
New ways to explore and hunt
Discover the new mechanics and techniques that expand your travel and combat options in the Forbidden Lands.
- Seikret
The Seikret is an animal mount with exceptional agility and a keen sense of smell. It can guide you to your next objective or waypoint and allows you to heal up, sharpen your weapons and gather materials as you travel there. Vitally, it can also hold a second weapon in its weapon sling, allowing you to switch between armaments during a hunt.
- Focus Mode
A new way to aim your attacks and guards with more precision, allowing you to direct actions in the same direction as the camera. Focus Mode also highlights any wounds created by repeatedly attacking certain body parts, as well as any weak points the monster has left exposed.
- Focus Strikes
While in Focus Mode, your Hunter can perform special Focus Strikes that will cause extra damage to highlighted wounds and weak points.
- Power Clash
Block certain attacks will trigger a struggle between your Hunter and the monster. Successfully pushing the monster back will knock it off balance, giving you an opening to attack.
- Offset Attacks
Hitting a monster with certain attacks as it is attacking will cause the attacks to clash, knocking the monster off balance.You canuse this opportunity to follow upwith powerful unique attacks.
- Slinger
This wrist-mounted projectile launcher fires various types of ammo that can be gathered in the hunting locales. Additionally, the Hook Slinger lets you gather items from a distance and trigger environmental actions whether on foot or riding your Seikret.
PREORDER BONUS :
- Freebie Monster Hunter Wilds Steelbook
- Freebie Monster Hunter Wilds Poster
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4.1 ★★★★★
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Product Reviews
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
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Reviewed in the United States on December 10, 2025
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
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Reviewed in the United States on May 3, 2026
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
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Reviewed in the United States on May 4, 2026
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on February 26, 2022