SKU: 47639024728

vasca idromassaggio piscina spa oasi completa set 5 mobili 296x20x73 cm in pvc e rattan grigio e marrone 6a06da50bb827

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Description

vasca idromassaggio piscina spa oasi completa set 5 mobili 296x20x73 cm in pvc e rattan grigio e marrone 6a06da50bb827Vasca Spa + Mobili Vasca Idromassaggio Piscina Spa Oasi Completa Set 5 Mobili 296x20x73 cm in PVC e Rattan Grigio e Marrone La Piscina Idromassaggio Oasi con Set 5 Mobili molto pi di una semplice spa, un sistema completo di benessere ed arredo, progettato per trasformare il tuo spazio outdoor in una vera oasi di relax. Ispirata ai modelli premium del wellness, Oasi unisce tecnologia, design e modularit, offrendo unesperienza immersiva e raffinata

Vasca Spa + Mobili

Vasca Idromassaggio Piscina Spa Oasi Completa Set 5 Mobili 296x20x73 cm in PVC e Rattan Grigio e Marrone

La Piscina Idromassaggio Oasi con Set 5 Mobili è molto più di una semplice spa, è un sistema completo di benessere ed arredo, progettato per trasformare il tuo spazio outdoor in una vera oasi di relax.
Ispirata ai modelli premium del wellness, Oasi unisce tecnologia, design e modularità, offrendo un’esperienza immersiva e raffinata direttamente a casa tua. Il sistema Air Bubble con 110 getti distribuiti a 360°, garantisce un massaggio uniforme e rilassante, mentre il gruppo motore intelligente gestisce riscaldamento completamente regolabile in maniera indipendente e fino a 42°C, filtrazione e bolle con un semplice controllo.
Grazie alla sua struttura semi-rigida con pannelli in schiuma ad alta densità, la piscina Oasi rappresenta il perfetto equilibrio tra spa e relax, stabile, isolata e decisamente più confortevole. Non è richiesto nessun attrezzo specifico, l’installazione è rapida e con una struttura modulare intuitiva, pronta all’uso in appena 15 minuti e subito operativa per il massimo del relax.
Accoppiata al set arredo modulare, Oasi diventa una vera e propria zona di comfort, completa di tutto quanto si possa immaginare per il proprio benessere, abbiamo infatti: Modulo tecnico – Modulo contenitore – Modulo doppio ripiano – Panca curva con cuscino – Gradino.
Il vero punto di forza di Oasi è il set completo di 5 moduli coordinati, progettati per creare un ambiente wellness integrato, con una configurazione flessibile, un design curato effetto rattan, ordine e funzionalità sempre a portata di mano grazie ai moduli posizionabili liberamente, in base allo spazio disponibile.
La forma rotonda della spa Oasi consente una perfetta distribuzione dello spazio, offrendo un’esperienza immersiva completa fino alle spalle e la massima convivialità in situazioni famigliari e di amicizia, ideale per momenti di relax condiviso, fino ad un massimo di 6 persone.

Caratteristiche Tecniche

  • Certificato: CE, ISO9001-2008
  • Capacità: 6 adulti
  • Capacità acqua: 1100 Litri
  • Dimensioni (mt): 2.96 x 2.04 x 0.73 H
  • Quantità di getti d’aria: 88
  • Potenza: 220-240 Volt
  • Pannello di controllo: LCD Touch screen (Pannello di controllo integrato)
  • Unità di riscaldamento (Temperatura Max): 2000W
  • Potenza aria: 500W Velocità dei getti variabile – 3 Livelli
  • Lunghezza cavo di alimentazione: 3.5m , presa Schuko inclusa CEE 7/4
  • Potenza Filtraggio: 12V/40W
  • Spa Pool Cover/Material: Rivestimento in Textilene PVC intrecciato spessore 0,8 mm
  • Materiale: PVC acrilico bianco perla spessore 0,6 mm
  • Materiale chiusura: Copertura isotermica con chiusura data da fibbie
  • Accessori: Rivestimento interno ed esterno, 8x Pareti/Angoli in materiale espanso, Copertura superiore isotermica, Gruppo motore, 3x Connettori gruppo motore, Modulo RCD, 2 Cartucce filtro, Mezzo di filtrazione, Tappi mantenimento acqua, Kit di riparazione
  • Manuale d’istruzione
  • Set Mobili: Modulo Tecnico (110 x 56 x 55), Modulo Doppio Ripiano (110 x 56 x 72), Modulo Contenitore (110 x 56 x 40), Panca Curva (110 x 56 x 72), Gradino (110 x 56 x 20), Dimensioni pallet (cm)
  • Peso netto: 78 kg
Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 47639024728

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4.2 ★★★★★
Based on 17 reviews
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Par
Port Orchard, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Waukegan, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
New York, 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
Grantham, 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

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