Pay in installments of $6.08 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 24 - Jul 29
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
buy cebu blue pothos Cebu Blue Pothos (Epipremnum Pinnatum)Description Light Soil Water Hardiness Epipremnum pinnatum Cebu Blue is a fast growing tropical vine from the Araceae family, native to Southeast Asia and particularly associated with the island of Cebu in the Philippines. It gets its name from this origin and from the distinctive blue green metallic sheen on its juvenile leaves a color that stands out among vining houseplants and gives the plant its unique identity. The plant produces narrow,
-
Epipremnum pinnatum Cebu Blue is a fast-growing tropical vine from the Araceae family, native to Southeast Asia and particularly associated with the island of Cebu in the Philippines. It gets its name from this origin and from the distinctive blue-green metallic sheen on its juvenile leaves — a color that stands out among vining houseplants and gives the plant its unique identity.
The plant produces narrow, elongated leaves with a smooth, matte surface and a soft silvery-blue cast. This coloring is most visible in bright, indirect light and is one of the main reasons Cebu Blue is so sought after by plant collectors. As the plant matures, especially when allowed to climb on a moss pole or trellis, its leaves can develop fenestrations — natural slits that resemble the mature form of a Monstera or other aroids. Indoors, it typically grows up to 8 feet long, either trailing from a hanging basket or climbing vertically with support.
Cebu Blue is often compared to Golden Pothos (Epipremnum aureum) because of its vining growth and care requirements, but the foliage is much narrower and more refined. Its cool-toned coloring also sets it apart from the yellow and green tones of Golden Pothos. In terms of color and sheen, it resembles Philodendron hastatum (Silver Sword), though Cebu Blue is a true vine and has softer, more flowing growth. When climbing and mature, the leaf splits give it a look similar to Monstera pinnatipartita, but in a more compact and manageable form for indoor spaces.
In addition to its striking appearance, Cebu Blue is known to help improve indoor air quality by filtering common pollutants from the air. It's an adaptable, fast-growing plant that fits well into most homes and thrives with minimal attention, making it a great choice for anyone who enjoys vining tropicals with a bit of character.
-
Prefers bright, indirect light to maintain its silvery coloring and encourage fenestrated growth. It can tolerate medium light but may grow more slowly. Avoid direct sun, which can fade or scorch the leaves.
Water when the top 1–2 inches of soil feel dry. Ensure good drainage and avoid letting the plant sit in water. Reduce watering during winter.
Grows well in a chunky, well-draining mix such as potting soil combined with perlite and orchid bark. Feed once a month during the growing season with a balanced liquid fertilizer diluted to half strength.
Prefers temperatures between 65–80°F and moderate to high humidity. It benefits from occasional misting or placement near a humidifier, especially during dry months.
-
USDA Zone 9-11
USDA Zone 9b: to -3.8 °C (25 °F)
USDA Zone 10a: to -1.1 °C (30 °F)
USDA Zone 10b: to 1.7 °C (35 °F)
USDA Zone 11: above 4.5 °C (40 °F)
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.2 ★★★★★
Based on 19 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022