SKU: 79667625342

La Marzocco | Linea Micra w/WiFi Espresso Machine

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Description

La Marzocco | Linea Micra w/WiFi Espresso MachineLa Marzocco Linea Micra w WiFi Espresso Machine A compact, easy to use home espresso machine with the powerful performance worthy of the La Marzocco name. Designed as a scaled down version of the Linea Classic S, the Linea Micra combines a dynamic feature set and small body that allows you to explore the world of espresso. Easy setup, quick heat up time, and all the essential tools, the Linea Micra makes dialing in your morning routine simple. Clean

La Marzocco | Linea Micra w/WiFi Espresso Machine

A compact, easy-to-use home espresso machine with the powerful performance worthy of the La Marzocco name. Designed as a scaled-down version of the Linea Classic S, the Linea Micra combines a dynamic feature set and small body that allows you to explore the world of espresso. Easy setup, quick heat-up time, and all the essential tools, the Linea Micra makes dialing in your morning routine simple. Clean lines and timeless aesthetic inspired by a long line of espresso icons. Micra includes six colors to choose from, elevating any home kitchen to café-status. Thanks to its new electronic board, the Linea Micra can now be connected to the internet and controlled through the new La Marzocco Home App, available on AppStore and GooglePlay.

brew paddle: The brew paddle comes with programmed pre-infusion creating more consistency from shot to shot

water reservoir: A built in water reservoir, holds 2 litres of water and allows for a good deal of espresso experimentation before needing to refill. No need to drill holes in your kitchen counter

dual boiler: The dual boiler system comes with new group technology that allows the machine to achieve the temperature stability and energy efficiency of our commercial machines but in a much smaller footprint

barista lights: Barista lights turn on when brewing is engaged, lighting up the drip tray and allowing you to see the beautiful colours of your espresso as it’s brewing

included accessories: Convertible portafilter, double spout insert, single spout insert. 3 filter baskets: 14g, 17g, blind filter, Purocaf cleaner, 350ml Milk Jug, and La Marzocco Stainless Steel Coffee Tamper

Dimensions (W x H x D, mm) : 290 x 340 x 390

Weight (kg) : 19

Power supply (Volt/Watt) : 220-240v

Introduction of Linea Micra

Free Local Delivery to urban area (*separated quote for remote areas)

Warranty terms*

1-year warranty for defective spare parts.

In 1-year warranty period: One time on-site service free of charge will be provided. After that, there is $800 per visit for on-site service. (Separated quote for remote areas)

For off-site service at distributor workshop, no service charge required. Customers are responsible for the transportation charge to and from workshop by themselves.


After 1-year warranty period: $800 per visit (separated quote for remote areas) is required for any service of on-site and off-site visit. Customers are responsible for the any cost of spare parts, transportation charge to and from workshop by themselves.

Shipping Notes
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SKU: 79667625342

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4.2 ★★★★★
Based on 7 reviews
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Product Reviews
A
Verified Purchase
Amazon Customer
Chelsea, 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
Houston, 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
Chelsea, 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
New York, 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
Los Angeles, 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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