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small easy plants to grow indoors Costa Farms Live Plants (3 Pack), Easy to Grow Real Indoor Houseplants, Air Purifying Plants, Grower's Choice in Home Décor Indoors Plant Pots, New House Gift or Room DécorAssorted Foliage features assorted, green foliage. These houseplants are great for small spaces. They do well in spaces that have bright, indirect sunlight. Place live plants in a spot that receives bright light. Water plants about once a week with approximately 1 2 cup and be sure all excess water drains away. Adjust as needed for your environment. Do not let the Assorted Foliage sit in water or overly soggy soil. The height at dispatch is
Assorted Foliage features assorted, green foliage. These houseplants are great for small spaces. They do well in spaces that have bright, indirect sunlight. Place live plants in a spot that receives bright light. Water plants about once a week with approximately 1/2 cup and be sure all excess water drains away. Adjust as needed for your environment. Do not let the Assorted Foliage sit in water or overly soggy soil. The height at dispatch is approximately 8-inches tall, measured from the bottom of the pot to the top of the plant. The live plants arrive in 4-inch décor pots. To avoid water spillage, this container does not have holes. The live house plants are moderate growers. Exact growth rate depends on the care provided and its environment. Give it a boost during the warm months of Spring and Summer with a general-purpose fertilizer that is formulated for potted plants. Follow the instructions on the fertilizer package for the best use. When the plant out grows the current container, it is time to repot. To repot, gently remove it from its current container and place it into a slightly larger container. Fill in any empty spaces with new and fresh soil and water thoroughly. This plant is considered hardy in USDA Zone 9-11.Be aware of third-party sellers; other companies try to imitate our quality. There are no other authorized Costa Farms sellers. Plants are living things; each one is slightly different, so the plant you receive may vary from the photo. Our growers hand-pick the healthiest and highest-quality plants. We package our plants for delivery with great care so they'll arrive at your home ready to be displayed. Delivered fresh from our farm to you, Costa Farms is passionate about delivering happy, healthy, beautiful plants. Costa Farms plants are not intended for human or animal consumption. Keep out of reach of children and pets.CLEANER AIR: Our variety pack of live air purifying plants helps keep your indoor air fresh and clean by naturally filtering out pollutants and toxins. Many indoor plants also act as natural humidifiers, adding moisture in the air so you can breathe better PERFECT FOR ANY SPACE: Whether you're looking to spruce up your home office or add a touch of greenery to your living room, clean air indoor plants are versatile enough to thrive in any space. Sits beautifully on any desk, windowsill, or tabletop ELEVATE MOOD & WELLBEING: Plants make us happy. They give us life, fresh air and a sense of calm - all of which have the ability to lift your mood and improve your wellbeing. NASA studies show having plants improves mood, creativity and reduces stress READY TO GROW: Your new air purifying plants arrive well-packed with care instructions. Keep it happy, healthy, and growing by placing in a bright room and water about once a week. Adjust as needed for your environment PLANTS MAKE GREAT GIFTS: Plants can be delivered to your loved ones for any occasion, including birthdays, anniversary, and housewarming. Enjoy peace of mind that every plant is well packaged, farm fresh, and ready to impress with your gift message FRESH FROM FARM: Every plant is packed with care and direct from our farm to your home. Clean Air Plants heights are approximately 8-10 inches tall, measured from the bottom of the pot to the top of the plant. It is in a 4-inch diameter modern decor pot- CLEANER AIR: Our variety pack of live air purifying plants helps keep your indoor air fresh and clean by naturally filtering out pollutants and toxins. Many indoor plants also act as natural humidifiers, adding moisture in the air so you can breathe better
- PERFECT FOR ANY SPACE: Whether you're looking to spruce up your home office or add a touch of greenery to your living room, clean air indoor plants are versatile enough to thrive in any space. Sits beautifully on any desk, windowsill, or tabletop
- ELEVATE MOOD & WELLBEING: Plants make us happy. They give us life, fresh air and a sense of calm - all of which have the ability to lift your mood and improve your wellbeing. NASA studies show having plants improves mood, creativity and reduces stress
- READY TO GROW: Your new air purifying plants arrive well-packed with care instructions. Keep it happy, healthy, and growing by placing in a bright room and water about once a week. Adjust as needed for your environment
- PLANTS MAKE GREAT GIFTS: Plants can be delivered to your loved ones for any occasion, including birthdays, anniversary, and housewarming. Enjoy peace of mind that every plant is well packaged, farm fresh, and ready to impress with your gift message
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4.2 ★★★★★
Based on 18 reviews
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Product Reviews
★★★★★ 5
Native American history at its best!
Format: Hardcover
Kent Blansett's engrossing story about the life & times of the famed Mohawk activist Richard Oakes is Native American history at its best. I appreciated the well-written context provided about the birth, growth and impact of the Red Power Movement and the pivotal role that social justice activism played in the rise of modern Indian nations in the United States today. This scholarly work helps us understand modern Native America and is a "must-read" for every Native American Studies student and scholar, as well as readers interested in important American social justice movements.
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Reviewed in the United States on April 1, 2019
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on February 26, 2022
★★★★★ 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
★★★★★ 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