SKU: 21372649040
variegated hanging plants

variegated hanging plants Variegated Heartleaf Philodendron | medium

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Description

variegated hanging plants Variegated Heartleaf Philodendron | mediumHeartleaf Philodendron is one of the easiest, most low maintenance houseplants around. Its a tried and true favorite because it tolerates low light, low humidity, and is tolerant of missed waterings. This variegated form takes it up a notch with the same features, but also featuring fabulous creamy marbled foliage. Easy to grow but hard to find, this Philodendron is a fabulous climbing trailing plant that will add a sense of lifeand styleto your home

Heartleaf Philodendron is one of the easiest, most low-maintenance houseplants around. It’s a tried-and-true favorite because it tolerates low light, low humidity, and is tolerant of missed waterings. This variegated form takes it up a notch with the same features, but also featuring fabulous creamy marbled foliage. Easy to grow but hard to find, this Philodendron is a fabulous climbing/trailing plant that will add a sense of life—and style—to your home or office. Want a more dramatic effect? Train it to climb a moss pole, creating a captivating vertical accent in your room and watch the leaves get bigger!

Order now and yours will be hand-picked and delivered fresh from our farm direct to your door. Shipping, handling, and a heat pack (if needed) is included in the price.

  • Can climb to 6 feet or more, and if you grow it up vertically, the leaves can get larger as the plant matures
  • Each variegated leaf is different, making the plant a living work of art
  • Variegated Heartleaf Philodendron is a great gift for both beginners and houseplant enthusiasts

[bio]

Plant Bio

Philodendron hederaceum Variegata

The species Philodendron hederaceum is native to areas of Central America and the Caribbean Islands, where it grows as a vine that can climb more than 20 feet with leaves that can get more than 12 inches across. While we’re not sure when this variegated form came about, we love its style.

This houseplant thrives in bright light (but tolerates medium light), so for the happiest plant, give it a spot about 3 feet away from a good-sized east or west window. Don't have bright light? Your Variegated Heartleaf Philodendron will still grow, but will be slower and the variegation may seem less showy. Water it as the top quarter to half of the potting mix dries out before giving it its next drink of water. Average room temperatures and humidity are perfectly fine for this low-maintenance climber, so you can sit back, relax, and enjoy the show!

Note: This plant may have some natural degree of toxicity and may cause discomfort or illness if ingested. Additionally, exposure to the sap of this plant may cause discomfort to individuals with a sensitivity to it upon contact. Grown for ornamental purposes and not intended for human or animal consumption.

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Amazon Customer
Chelsea, 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
Bozeman, 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
Louisville, 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
Draper, 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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