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Description
flapjack succulent Kalanchoe luciae 'Fantastic' Variegated FlapjackSucculents are considered one of the most hardy plants in gardening. They are drought tolerant and have numerous ways of reproducing! Succulents naturally grow in sunny areas, so make sure to provide ample light for them to thrive; a south facing location is recommended. Shipping & Handling Most plants are shipped bare roots without the pot and soil, with the following exceptions: Some plants shown in 2" pots see more info Plants that require soil to
Succulents are considered one of the most hardy plants in gardening. They are drought-tolerant and have numerous ways of reproducing!
Succulents naturally grow in sunny areas, so make sure to provide ample light for them to thrive; a south facing location is recommended.
Shipping & Handling
- Most plants are shipped bare roots without the pot and soil, with the following exceptions:
- Some plants shown in 2" pots - see more info
- Plants that require soil to stay healthy during transit - see more info
- We commit to shipping bare roots, which requires more time and labor, and provide excellent quality and service to our customers - see Benefits of Shipping Bare Roots
- You will receive a very similar plant to the one shown in the photos; shape and color may vary
- Ship within USA & its outlying territories only
- Please visit Order Processing & Shipping info page for additional details
Care Instructions
Please visit our Succulent Care info page for more details.
To ensure the health of succulents, it is important to plant them in porous, well-draining soil. Succulents require little watering, but don't like to sit in wet soil. To create an adequate cactus mix, simply add pumice, perlite, or grit to cactus soil to provide the proper drainage.
Make sure to leave drought periods between waterings to prevent the plant from water-logging.
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- When ordering, be mindful that living succulents can freeze. If you live in an area that is below 40 degrees Fahrenheit, please consider purchasing plant until the weather is more suitable.
- Shipping Warmer: 72+ Hours Heat Packs available at my store for $1.7 each
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4.8 ★★★★★
Based on 28 reviews
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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!
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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.
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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.
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Reviewed in the United States on February 26, 2022
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