SKU: 43335259258
black philodendron varieties

black philodendron varieties Philodendron 'Black Cardinal' Rare Plant (Philodendron erubescens) – Jungle Relics

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Description

black philodendron varieties Philodendron 'Black Cardinal' Rare Plant (Philodendron erubescens) – Jungle Relics*6" is for in store pick up only * The Philodendron 'Black Cardinal' is a striking tropical beauty, prized for its bold, deep burgundy to almost black foliage. Its glossy, broad leaves and compact growth make it a stunning addition to any indoor plant collection. Perfect for collectors, it brings elegance and drama to your space. Why Philodendron Black Cardinal is Unique & Rare: Striking Foliage: The plant's dark, glossy leaves with burgundy

 *6" is for in-store pick-up only *

The Philodendron 'Black Cardinal' is a striking tropical beauty, prized for its bold, deep burgundy to almost black foliage. Its glossy, broad leaves and compact growth make it a stunning addition to any indoor plant collection. Perfect for collectors, it brings elegance and drama to your space.

Why Philodendron Black Cardinal is Unique & Rare: 

  • Striking Foliage: The plant's dark, glossy leaves with burgundy undertones are distinct and uncommon, making it a prized variety for collectors and enthusiasts seeking unique foliage.
  • Limited Availability: It’s not as widely cultivated or mass-produced as other philodendrons, making it harder to find in nurseries or garden centers.
  • Slow Growth: The 'Black Cardinal' grows at a slower pace, which limits its supply in the market, especially when mature specimens are in demand.
  • Exotic Appeal: Native to tropical regions, this philodendron thrives in specific conditions that can be challenging to replicate on a commercial scale, contributing to its rarity.

Why You’ll Love It: 💚

  • Bold Foliage: Dark, glossy leaves with rich burgundy undertones create a dramatic statement.
  • Compact Elegance: Its manageable size makes it ideal for desktops, shelves, or small spaces.
  • Low-Maintenance Luxe: Easy to care for while offering a touch of sophistication.
  • Versatile Appeal: Complements modern, minimalist, or tropical-inspired décor styles.

Plant Care FAQs: 🪴

  • Plant Type: Chill, Rare
  • Botanical Name: Philodendron erubescens 'Black Cardinal'
  • Common Name: Black Cardinal Philodendron
  • Toxicity: Toxic to pets and humans if ingested; keep out of reach of children and animals.
  • Plant Vibe: Dramatic Tropical
  • Plant Characteristics: Dark, glossy foliage with burgundy tones
  • Plant Family: Araceae
  • Soil Type: Well-draining potting mix; a blend of peat, perlite, and orchid bark works well.
  • Watering: Water when the top inch of soil feels dry. Avoid overwatering to prevent root rot.
  • Light Requirements: Thrives in bright, indirect light but can adapt to low-light conditions.
  • Humidity Needs: Prefers moderate to high humidity (50%+). Misting or a humidifier is beneficial.
  • Fertilizer: Feed monthly during the growing season with a diluted, balanced fertilizer.
  • Special Care: Gently clean leaves to maintain their glossy finish and prevent dust buildup.

🏆 Pro Care Tip: Keep your 'Black Cardinal' away from cold drafts and sudden temperature changes. For vibrant leaf coloration, place it in consistent, bright, indirect light.

Plant Styling Tips: The Philodendron 'Black Cardinal' is perfect for adding depth and contrast to your plant collection. Display it as a focal point in a sleek, modern planter or pair it with lighter green plants like Pothos or Monstera for a stunning contrast. Its compact growth makes it ideal for desktops or small corners.

Tea Pairing: Match the sophisticated elegance of 'Black Cardinal' with a rich Black Tea. Its bold flavor complements the plant’s dramatic presence, creating a refined and calming ambiance in your home.

With its deep, glossy leaves and low-maintenance charm, the Philodendron 'Black Cardinal' is more than just a plant—it’s a statement piece that transforms your space with its bold, tropical allure. Perfect for plant enthusiasts of all levels!

⚠️ Please note: The plant you receive may not be the exact one pictured, but it will be of the same type and size. Each plant is unique! Expect natural variation in color, variegation, leaf shape, and size. Cosmetic blemishes are normal and do not impact plant health.

🚫 We do not accept returns or exchanges. Please review our shop policies before purchasing.

✅ Our Guarantee: We guarantee live arrival and pack every order with care. Reach out anytime with questions—we’re happy to help!

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SKU: 43335259258

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Par
Chelsea, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
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Reviewed in the United States on December 20, 2024
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Verified Purchase
Richard Hackathorn
Natrona Heights, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
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Verified Purchase
Amazon Customer
Draper, 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
K
Verified Purchase
Kindle Customer
Carnegie, 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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Verified Purchase
Tommy Jonsson
Lexington, 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

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