SKU: 89489959914

Eucerin Sun Pigment Control SPF 50+ Fluid - Voorkomt Pigmentvlekken, Snel Absorberend, Alle Huidtypes

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Description

Eucerin Sun Pigment Control SPF 50+ Fluid - Voorkomt Pigmentvlekken, Snel Absorberend, Alle HuidtypesEucerin Sun Pigment Control SPF 50+ Fluid Hyperpigmentatie met pomp 50ml Korte beschrijving: Eucerin Sun Pigment Control SPF 50+ Fluid is een geavanceerde zonnebescherming speciaal ontwikkeld voor de gevoelige huid met hyperpigmentatie. Deze lichte, niet vette formule biedt zeer hoge bescherming tegen UVA en UVB stralen en helpt pigmentvlekken te verminderen. Eigenschappen: Zeer hoge zonnebescherming (SPF 50+) Lichte, snel absorberende textuur

Eucerin Sun Pigment Control SPF 50+ Fluid Hyperpigmentatie met pomp 50ml

Korte beschrijving:
Eucerin Sun Pigment Control SPF 50+ Fluid is een geavanceerde zonnebescherming speciaal ontwikkeld voor de gevoelige huid met hyperpigmentatie. Deze lichte, niet-vette formule biedt zeer hoge bescherming tegen UVA- en UVB-stralen en helpt pigmentvlekken te verminderen.

Eigenschappen:

  • Zeer hoge zonnebescherming (SPF 50+)
  • Lichte, snel absorberende textuur
  • Geschikt voor alle huidtypes, ook de gevoelige huid
  • Voorkomt en vermindert pigmentvlekken
  • Pompflacon voor gemakkelijk gebruik

Indicaties:

  • Voorkomt door zon veroorzaakte hyperpigmentatie
  • Vermindert bestaande pigmentvlekken
  • Voorkomt het terugkeren van pigmentvlekken

Gebruiksaanwijzing:
Breng royaal aan op gezicht en hals, 15-30 minuten voor blootstelling aan de zon. Herhaal regelmatig, vooral na zwemmen of transpireren. De standaarddosis is ongeveer een halve theelepel voor gezicht en hals.

Actieve bestanddelen:
Aqua, C12-15 Alkyl Benzoate, Alcohol Denat, Butyl Methoxydibenzoylmethane, Ethylhexyl Triazone, Butylene Glycol Dicaprylate/Dicaprate, Bis-Ethylhexyloxyphenol Methoxyphenyl Triazine, Dibutyl Adipate, Glyceryl Stearate Citrate, Silica, Phenylbenzimidazole Sulfonic Acid, Diethylamino Hydroxybenzoyl Hexyl Benzoate, Tapioca Starch, Silica Dimethyl Silylate, Cetearyl Alcohol, Behenyl Alcohol, Isobutylamido Thiazolyl Resorcinol, Thiamidol, Glycyrrhiza Inflata Root Extract, Glycyrrhetinic Acid, Tocopheryl Acetate, Glycerin

Contra-indicaties:
Niet vermeld. Raadpleeg bij twijfel uw arts of apotheker.

Bijwerkingen:
Niet vermeld. Stop het gebruik en raadpleeg een arts bij ongewenste reacties.

Voorzorgsmaatregelen:

  • Vermijd langdurige blootstelling aan de zon, zelfs met zonnebescherming
  • Bescherm baby's en jonge kinderen volledig tegen direct zonlicht
  • Overmatige blootstelling aan de zon vormt een ernstig gezondheidsrisico

Inhoud:
50 ml in een handige pompflacon

Deze geavanceerde zonnebescherming van Eucerin combineert effectieve UV-filters met innovatieve ingrediënten zoals Thiamidol en Licochalcone A om zonneschade en hyperpigmentatie tegen te gaan. De lichte textuur maakt het product geschikt voor dagelijks gebruik, terwijl de hoge SPF langdurige bescherming biedt. Ideaal voor wie een complete zonnebescherming zoekt die tegelijkertijd pigmentproblemen aanpakt.

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SKU: 89489959914

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4.1 ★★★★★
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A
Verified Purchase
Amazon Customer
Houston, US
★★★★★ 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
K
Verified Purchase
Kindle Customer
Whiting, US
★★★★★ 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
T
Verified Purchase
Tommy Jonsson
West Palm Beach, 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
M
Verified Purchase
Moses Kayanda
Cuba, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
Port Orchard, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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