SKU: 49058896621
monstera adansonii wide form

monstera adansonii wide form Monstera Adansonii 'Wide Form' 4.5 Inch – Northern Ridge Nursery

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monstera adansonii wide form Monstera Adansonii 'Wide Form' 4.5 Inch – Northern Ridge NurseryMeet the Monstera 'Wide Form' Introducing the Monstera 'Wide Form', a tropical beauty that stands out with its broad, fenestrated leaves and striking silhouette. This plant is more than just a decorative piece; its a statement of exotic elegance that will enhance any indoor space. Easy to care for and admired for its unique structure, the Monstera 'Wide Form' is the perfect choice for plant lovers looking to add a bold and beautiful addition to their

Meet the Monstera 'Wide Form'

Introducing the Monstera 'Wide Form', a tropical beauty that stands out with its broad, fenestrated leaves and striking silhouette. This plant is more than just a decorative piece; it’s a statement of exotic elegance that will enhance any indoor space. Easy to care for and admired for its unique structure, the Monstera 'Wide Form' is the perfect choice for plant lovers looking to add a bold and beautiful addition to their collection.

Monstera Adansonii Plant Profile

Botanical Name: Monstera Adansonii 'Wide Form'
Common Name(s): Wide Form Swiss Cheese, Wide Form Monstera
Family: Araceae
Native Range: Central and South America

Monstera Adansonii Care Guide

Care Level: Easy – Ideal for both novice and experienced plant enthusiasts.
Light: Prefers bright, indirect light but is adaptable to most lighting conditions.
Water: Water when the top inch of soil feels dry. The plant enjoys slightly moist soil but avoid overwatering.
Humidity: Thrives in high humidity, similar to its native jungle environment.
Temperature: Maintain temperatures between 60-75°F for optimal growth.
Pruning: Prune as needed to remove brown or dead leaves and to control the plant’s growth.
Feeding: Feed once a month with a general houseplant fertilizer diluted to half the recommended strength during spring and summer.
Propagation: Easily propagated through cuttings, allowing you to share or expand your collection.
Growth: This plant can "climb." Train it to climb by tying new growth to a stake, ensuring the node touches the stake to develop aerial roots that will stick to it. Alternatively, you can let the plant trail freely from a hanging planter or pedestal table.
Pests: Monitor for scale insects and treat promptly if detected.
Toxicity: Toxic to humans and pets – Handle with care, especially around children and animals.

The History Behind the Swiss Cheese Plant

The Monstera 'Wide Form' is part of the Monstera Adansonii family, often referred to as the "Swiss Cheese Plant" due to its distinctive perforated leaves. This plant has a rich history rooted in the rainforests of Central and South America, where it thrives in the understory of dense forests.

Why Monstera 'Wide Form' is a Must-Have

What sets the Monstera 'Wide Form' apart is its adaptability and ease of care. Whether you're a seasoned plant enthusiast or just starting, this plant offers a unique aesthetic without the high maintenance demands of more delicate species. Plus, its ability to climb or trail makes it versatile for various display options in your home.

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Amazon Customer
Port Orchard, US
★★★★★ 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
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Kindle Customer
Belleville, 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
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Tommy Jonsson
Carnegie, US
★★★★★ 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
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Moses Kayanda
Dallas, 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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Gabe Rigall
Lake Worth, 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.
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Reviewed in the United States on February 26, 2022

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