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WHOLE EARTH & SEA Fermented Whole Food Probiotic (10 Billion - 60 vcaps)NATURAL FACTORS Fermented Whole Food Probiotic 60 Veggie Capsule(s) NPN : 80108988Whole Earth & Sea Fermented Whole Food Probiotic is a 100% plant based, dairy free, once daily probiotic supplement featuring 10 billion active cells of beneficial bacteria per capsule at expiry. This unique wholefood blend harnesses the power of natural fermentation to deliver 10 active strains with organic prebiotics in a single convenient serving for gentle relief of
NATURAL FACTORS - Fermented Whole Food Probiotic - 60 Veggie Capsule(s) - NPN : 80108988Whole Earth & Sea Fermented Whole Food Probiotic is a 100% plant-based, dairy-free, once-daily probiotic supplement featuring 10 billion active cells of beneficial bacteria per capsule at expiry. This unique wholefood blend harnesses the power of natural fermentation to deliver 10 active strains with organic prebiotics in a single convenient serving for gentle relief of constipation and bowel irregularity, and to reduce the frequency of flatulence and other functional gastrointestinal symptoms.
Modern agriculture and refrigeration mean that most diets lack natural probiotics, and eating fermented foods is not always convenient or palatable. Whole Earth & Sea Fermented Whole Food Probiotic offers a convenient one-per-day option to restore and replenish beneficial bacteria in the gut. The wholefood probiotics in this formula are cultured using natural foods as the growth medium, meaning that the body more easily accepts these beneficial live bacteria.
This formula also features a fermented prebiotic blend of organic, non-GMO fruits, vegetables, and herbs, which help feed beneficial bacteria. When probiotics break down these dietary fibres, they form postbiotics like short-chain fatty acids (SCFAs). SCFAs help lower the pH of the gut, creating a more favourable environment for beneficial bacteria as opposed to harmful bacteria. Our wholefood probiotic blend with prebiotics optimizes the gut environment to help create these beneficial postbiotics.
Shelf stable and gastric acid resistant, this probiotic formula provides complete gastrointestinal support through clinically proven strains. It is also gluten-free, sugar-free, and suitable for vegetarians and vegans.
DIRECTIONS & USE
Recommended adult dose: 1 capsule daily or as directed by a health care practitioner.
Take at least 2–3 hours before or after antibiotics.
CAUTIONS & NOTES
Consult a health care practitioner prior to use if you have fever, vomiting, bloody diarrhea, or severe abdominal pain.
Stop use and consult a health care practitioner if symptoms of digestive upset (e.g., diarrhea) occur, worsen, and/or persists beyond 3 days.
Do not use this product if you have an immune-compromised condition (e.g., AIDS, lymphoma, patients undergoing long-term corticosteroid treatment) or if you are taking tetracycline.
Keep out of the reach of children.
INGREDIENTS Each capsule contains:
10 billion active cells* of the following specially cultured strains of probiotics:
Total bacterial culture … 10 billion cfu
Lactobacillus rhamnosus (Lr-32) (whole cell) … 2 billion cfu
Bifidobacterium animalis subsp. lactis (HN019) (whole cell) … 1.8 billion cfu
Lactobacillus acidophilus (La-14) (whole cell) … 1.6 billion cfu
Lactobacillus casei (LC-11) (whole cell) … 1.5 billion cfu
Lactobacillus plantarum (Lp-115) (whole cell) … 1.5 billion cfu
Lactobacillus salivarius (Ls-33) (whole cell) … 0.5 billion cfu
Streptococcus salivarius subsp. thermophilus (ST-21) (whole cell) … 0.5 billion cfu
Bifidobacterium bifidum (BB-06) (whole cell) … 0.3 billion cfu
Bifidobacterium longum subsp. longum (BL-05) (whole cell) … 0.3 billion cfu
Lactobacillus delbrueckii subsp. bulgaricus (LB-87) (whole cell) … 0.01 billion cfu
Fermented prebiotic blend:
Organic apple, organic blueberry, organic cranberry, organic broccoli, organic carrot,organic kale, organic parsley, organic spinach
150 mg
cfu: colony forming units
*Guaranteed minimum 10 billion active cells per capsule at expiry date
*Guaranteed minimum 20 billion active cells per capsule at manufacture date
Non Medicinal Ingredients
Vegetarian capsule (carbohydrate gum, glycerin), maltodextrin, inulin (Fossence FOS), vegetable grade magnesium stearate (lubricant), ascorbic acid.
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4.1 ★★★★★
Based on 23 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!
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
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