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Replacement New Display for Lenovo V530-22ICB V50A-22IMB V30A-22IML V30A-22IIL LCD Screen Panel Non-Touch VersioniProGadgets Repair Parts New Screen For Lenovo V530 22ICB V50a 22IMB V30a 22IML LCD Display Panel 5D10W33939 Note: this is a non touch version LCD screen, only suitable for computers with non touch version. Compatible Models: V530 22ICB, ThinkCentre M70a, M70q , V50a 22IMB, V30a 22IML , M70a Gen 2 , V30a 22IIL, IdeaCentre A340 22ICB ,A340 22IGM, A340 22IWL, A340 22AST, A340 22ICK, ideacentre AIO 3 22IMB05, AIO 3 22ADA05, AIO 3 22IIL5, AIO 3 22ITL6,
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4.6 ★★★★★
Based on 18 reviews
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Product Reviews
★★★★★ 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
★★★★★ 5
Very good resource
Format: Paperback
Very useful guide and reference written by a very clear expositor and early leader in ML teaching. He starts with a simple perceptron model to give clear intuition of how a neural network works but before too long has led you to far more powerful models. Raschka's long experience teaching this topic clearly shows. He has stopped to think about how people could learn this best and see the big picture. I read the book as I also used materials from Raschka's (free and excellent) lightning course as weel as the github repo materials that accompany this book. You'll get a good practical guide to learning how to use important python ML tools.
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Reviewed in the United States on July 12, 2025
★★★★★ 5
Gorgeous set; fans of Elder Scrolls lore will love it
Format: Hardcover
Let's cut to the chase: if you love the lore of the Elder Scrolls games (Skyrim, Oblivion, Morrowind, Daggerfall, etc.), you're going to want to add this to your bookshelf.
This gorgeous slipcase boxed set brings together the previously released hardcovers of "The Elder Scrolls Online: Tales of Tamriel, Book I: The Land" and "The Elder Scrolls Online: Tales of Tamriel: Book II: The Lore," with a slight re-branding so it seems less specific to Elder Scrolls Online. The covers now only say "Tales of Tamriel."
That's a good change, too. Though branded as being tied to The Elder Scrolls Online, an MMO many offline players have been hesitant to check out -- for what it's worth, it's a great game that earns the Elder Scrolls name -- the content and stories here are pretty universal and will be of interest to any Elder Scrolls lore geek, from novices to the long devoted.
The production quality on this set is OUTSTANDING. The books are sturdy hardcovers with faux leather textured covers, lavish illustrations inside, and thick glossy paper. They are genuinely GORGEOUS. I initially balked at the price, but once I had it in my hands I understood.
The box is nice, too, with textured print and designs, and a sturdy build that should last. These are not cheaply made!
It's what's inside that counts, though, right?
Each book runs a little over 200 pages and contains dozens of in-game books and (I'm pretty sure) some addition material not found in the games.
"Book 1: The Land" is broken into five sections. These sections are organized based on the factions of Elder Scrolls Online, but veterans of the offline games will have no problem navigating what's what. The book opens with a brief section on Tamriel history. The next section is focused on the people and places of the Aldmeri Dominion, which means it's a series of tales and pieces on the high elves, wood elves, and khajiit. Section two covers the Daggerfall Covenant, made up of the orcs, Bretons, and Redguards. The fourth section is on the Ebonheart Pact, aka the dark elves, argonians, and nords (of Skyrim fame). And finally, a section on creatures wraps things up. The material here gives you a great sense for the people and places of the game world, including many places we never visited in the offline games.
Book II: The Lore is (obviously) focused on history and lore.This one is broken into six sections: Racial Motifs (descriptions of the races), Lore (history, the gods, etc.), Magicka (about the schools of magic), Warfare and Factions (about guilds and combat), Oblivion (about the planes of Oblivion), and Daedra (self explanatory). This one gets a little deeper into the headier stuff that makes up Elder Scrolls lore.
If you've read some in-game books, you know what to expect. There arearound 400 or so in-game books represented in these two volumes, far more than most people have read while playing the games.
If you've skipped the in-game books, here's what to expect: a load of well-written tales, essays and pieces about Tamriel, presented as if written by people who live in the game world. They can vary from serious and deep to whimsical and fantastic. Just as the tone of the games switch a lot, so do these stories.
If one of the pieces isn't catching your interest, no worries. Just skip it. Each story is very brief, usually only a single page, making this a GREAT book to just pick up and read for a few moments. Things are arranged in a logical order so if you want to read the books straight through you can, but it's not necessary. You can skip around to the things that interest you. If it wasn't so nicely made, it would make good bathroom reading. Hey Bethesda, get affordable softcovers made of these released so we don't have to feel guilty about beating them up!
All in all, this set is terrific. The price is about the same as buying the two volumes individually, plus it comes in a gorgeous slipcase. Can't beat that. Looking forward to getting the Skyrim version next week!
EDIT: My copy of
has arrived, and it's equally as gorgeous!
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Reviewed in the United States on September 6, 2017