SKU: 76434205496

Three Drawer Wood-Effect Filing Cabinet - White

Sale price$70.19 Regular price$77.99
Save 10%

Pay in installments of $19.50 with ShopPay, AfterPay and Klarna

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 19 - Aug 24

Promo Codes Available:

For Your Every Summer RSVP, with Code: SUMMER15

Description

Three Drawer Wood-Effect Filing Cabinet - WhiteThis HOMCOM filing cabinet brings plenty of storage and beauty into your office space. Made from particle board so it's suitable for everyday use, in a wood effect finish for a beautiful classic look; the metal handles add a sleek touch. It comes with two small drawers and one large offering plenty of room for stationery, files and other work essentials. Complete with four wheels to move around easily when both empty and full. Features: Two small

This HOMCOM filing cabinet brings plenty of storage and beauty into your office space. Made from particle board so it's suitable for everyday use, in a wood-effect finish for a beautiful classic look; the metal handles add a sleek touch. It comes with two small drawers and one large - offering plenty of room for stationery, files and other work essentials. Complete with four wheels to move around easily - when both empty and full.

Features:

  • Two small drawers and one large drawer: plenty of room for holding work essentials and accessories. A clean and organised work space
  • Adjustable bar in bottom drawer to hang A4 or letter files
  • Individual lock on each drawer for security. Two keys per each lock
  • Smooth quiet-gliding drawers won't disturb you whilst working
  • Particle board structure suitable for everyday use, in a classic wood-effect finish
  • Four 360° wheels to move around easily. Two brakes to lock into place when needed
  • Compact size fits under desks easily. Won't take much room
  • Maximum load 46 kg, assembly required

Specification:

  • Colour: White
  • Material: Particle Board
  • Overall Dimension: 40W x 40D x 69.5H cm
  • Small Drawer Inner Size: 33W x 31.6D x 10H cm
  • File Drawer Inner Size: 33W x 33D x 18.5/24H cm (side panel/hanging height)
  • Maximum Load: 46 kg (Total), 15 kg (File Drawer/Top), 8 kg (Small Drawer)
  • Item Label: 924-127V00WT

Package Includes:

  • 1 x Filing Cabinet
  • 6 x Key
  • 1 x Manual
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 76434205496

Discover Niche Categories That Outsell

Top-Converting Item to Boost Your Average Order

4.5 ★★★★★
Based on 16 reviews
Sort
Highest Rating
Newest First
Oldest First
Product Reviews
M
Verified Purchase
MrGee
Charlottesville, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
R
Verified Purchase
R. Cote
Chelsea, US
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”. I use this as a reference when teaching AI concepts and preparing presentations. I highly recommend it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Louisville, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
T
Verified Purchase
Thomas
Bozeman, US
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2024
L
Verified Purchase
La Monte HP Yarroll
Alexandria, US
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 13, 2025

recommand products