SKU: 35010103957
white spotted lily

white spotted lily White Tiger Lily Bulbs, Lilium

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white spotted lily White Tiger Lily Bulbs, LiliumIn more recent years, the hybridizers have managed to create new colors in the Tiger Lily group, maintaining the large flowers, the easy culture, the perennial qualities, and even the handsome black spots of the original Orange Tiger.' The true Tiger Lilies: Don't make a common mistake, and call just any old spotted orange lily a 'Tiger Lily.' Only one group is descended from the real thing. Like most Asian species lilies, this old reliable was a

In more recent years, the hybridizers have managed to create new colors in the Tiger Lily group, maintaining the large flowers, the easy culture, the perennial qualities, and even the handsome black spots of the original Orange Tiger.'

The true Tiger Lilies: Don't make a common mistake, and call just any old spotted orange lily a 'Tiger Lily.' Only one group is descended from the real thing. Like most Asian species lilies, this old reliable was a staple in the Oriental diet for centuries. The bulbs were--and are--cooked for foods and soups. But it's not the taste that made this lily bulb world famous. It's the beautiful flowers and the ease of growing them.

The true Tiger Lily is native to Korea, but today, gardeners the world over enjoy the beautiful big flowers on strong stems that return year after year. In fact, Tiger lilies are now so common in the US, many people think they're native.

As long as you have well-drained soil, they will grow for you, perfectly perennial even in some of America's coldest climates.

This is the lily with little black 'bulbils' (baby bulbs) that form up and down the stem in the leaf axils. These little bulbs drop to the ground naturally, and spring up the next year as baby tiger lily plants. Over the years, you'll have an expanding clump.

This is the perfect no-maintenance lily to add to your flower border or particularly, your wildflower meadow. A few towering lilies over a wild meadow in full bloom is a wonderful mid-summer sight.


Growing Lilies: True lilies (which don't include daylilies and others which are not in the genus Lilium) are easy to grow today, and more popular every season. Since they are upright and take practically no space at ground level, it's easy to plant lilies between other established perennials and shrubs. Most can also tolerate some shade, which adds versatility for the gardener. There are many lily groups, but to keep it simple, we will consider only a few of the main types that are important to gardeners. Each lily we ship includes complete instructions for planting. So don't hesitate. You can easily bring the spectacular beauty of lily flowers to any summer meadow or garden.

'Wild' Lilies or 'Species' Lilies These are the true wildflowers from the world over. They are the ones all the glamorous hybrids are descended from. We're fortunate to have some of these botanical treasures on our list of lilies this season.

Oriental Hybrid Lilies are the now famous, very fragrant ones with large, flattened flowers such as red Stargazer and white Casa Blanca. These are the ones now so popular in the floral trade, but are also very easy to grow. They bloom from mid-summer through early fall. Most have very large, outward-facing, fragrant flowers.

Asiatic Hybrid Lilies are today's largest group of garden lilies, quite easy to 'naturalize'. This growing group of lilies was begun by hybridizers in the US, and were first called 'Mid-Century Hybrids.' Compared to Orientals, the Asiatic Hybrid lilies bloom earlier (early to mid summer), the plants are shorter, the flowers a bit smaller, and most blooms are upward-facing and star-shaped. Some of the most famous Asiatic Hybrids are yellow 'Connecticut King,' and the famous red, 'Gran Paradiso.'

Tiger Lilies. This group is led by the famous old orange wild lily, which used to be called Lilium tigrinum. Botanists have changed that to Lilum lancifolium, but that doesn't stop most people (including us) from using the old name 'tigrinum.' From the original orange, the hybridizers have created new colors from white to pink. All have the large flowers, black spots, and tough perennial qualities of the original. (By the way, don't call any old spotted orange lily 'tiger lily'. This one is the real thing, and no lily common name is more mis-used.)

Trumpet Lilies Sometimes called 'Aurelian Hybrids' or other names, the large, tall trumpet lilies are all descended from The Regal Lily, a white wild species lily from China. All are incredibly fragrant, and wonderful for cutting. They grow tall, and often need staking, since a well-grown stalk can have over 15 huge flowers.

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Amazon Customer
Lexington, 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
Phoenix, 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
Charlottesville, 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
Phoenix, 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
Pawtucket, 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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