SKU: 98026824164
6 drawers dresser

6 drawers dresser Namesake Darlington 6 Drawer Dresser

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Description

6 drawers dresser Namesake Darlington 6 Drawer DresserBring the elegance of romantic French country inspired style into the home with the Darlington 6 Drawer Dresser in Warm White by Namesake. The dresser balances classic raised molding on six drawer fronts, delicate tapered feet, and accent satin nickel drawer handles. All spacious drawers feature dovetail construction with self closing, ball bearing drawer glides. Features: GREENGUARD GOLD CERTIFIED: The Darlington 6 Drawer Dresser in Warm White by

Bring the elegance of romantic French country inspired style into the home with the Darlington 6 Drawer Dresser in Warm White by Namesake. The dresser balances classic raised molding on six drawer fronts, delicate tapered feet, and accent satin nickel drawer handles. All spacious drawers feature dovetail construction with self-closing, ball-bearing drawer glides. 

Features:

  • GREENGUARD GOLD CERTIFIED: The Darlington 6 Drawer Dresser in Warm White by Namesake product has been tested for over 10,000 chemical emissions and VOCs, undergoing rigorous scientific testing to meet some of the world's most stringent chemical emissions requirements. It contributes to cleaner indoor air to ensure the health and safety of your family and home.
  • SPACIOUS & DURABLE: Features six drawers, each extending over 9 inches for deeper reach, easier access, and better organization.
  • VERSATILE DESIGN: From nursery changing table to playroom storage this dresser seamlessly transitions as your family grows. (Changing tray M0619 and contour changing pad M5319 sold separately)
  • SMOOTH & SECURE GLIDE: Self closing, ball bearing drawer glides make opening and closing drawers easy and safe. Anti-tip kit included for additional security.
  • THOUGHTFUL DETAILS: Smooth satin nickel finished handles and raised molding on drawer fronts add an extra touch of elegance.
  • QUALITY MATERIALS: Namesake sources materials with your family in mind. Namedake furniture is made of solid, sustainable New Zealand pinewood and TSCA compliant engineered wood.
  • BREATHE EASY: Chemicals have no place in your nursery so we use a non-toxic multi-step painting process that is lead and phthalate safe. This product meets or exceeds ASTM International and U.S. CPSC safety standards.
  • EASY SETUP: This dresser comes with minimal assembly required so you can spend less time building and more time enjoying your family. Just attach the middle support and feet!
  • New Zealand pine wood, CARB II compliant MDF and Plywood

Want to see the material in person and test the color against your nursery or room? Order a sample here!

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SKU: 98026824164

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4.7 ★★★★★
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Verified Purchase
Amazon Customer
Boise, 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
Massapequa, US
★★★★★ 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
T
Verified Purchase
Tommy Jonsson
San Leandro, 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
Bozeman, 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
Omaha, 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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