---
product_id: 184100308
title: "Building Machine Learning Powered Applications: Going from Idea to Product"
price: "309 zł"
currency: PLN
in_stock: true
reviews_count: 8
url: https://www.desertcart.pl/products/184100308-building-machine-learning-powered-applications-going-from-idea-to-product
store_origin: PL
region: Poland
---

# Building Machine Learning Powered Applications: Going from Idea to Product

**Price:** 309 zł
**Availability:** ✅ In Stock

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- **What is this?** Building Machine Learning Powered Applications: Going from Idea to Product
- **How much does it cost?** 309 zł with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.pl](https://www.desertcart.pl/products/184100308-building-machine-learning-powered-applications-going-from-idea-to-product)

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## Description

Building Machine Learning Powered Applications: Going from Idea to Product [Ameisen, Emmanuel] on desertcart.com. *FREE* shipping on qualifying offers. Building Machine Learning Powered Applications: Going from Idea to Product

Review: I strongly recommend this book for anyone managing a DS or MLE team. - I've met a lot of people who would say they are well aware of the contents of this book and that they would have nothing to learn from reading it. But, it amazes me how many times I've seen those people spin up projects and completely ignore the steps they claim to know. If you're managing a team, I think this should be required reading. "Building Machine Learning Powered Applications: Going from Idea to Product" helps to crystalize the best practices that are, all too often, neglected at fast-moving startups and on rapid-prototyping teams.
Review: Exactly What I Was Looking For - This book is NOT an overly technical book. The way I read it, it's a book that's centered around the lessons the author, Emmanuel , learned during his time as a data scientist/ML engineer. He formats these lessons in such a way that makes the book extremely easy to read and grasp. As a newly-hired data scientist who has been charged with created the company's anomaly detection application, this book will serve me well!

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #610,277 in Books ( See Top 100 in Books ) #80 in Machine Theory (Books) #177 in Data Modeling & Design (Books) #211 in Natural Language Processing (Books) |
| Customer Reviews | 4.4 out of 5 stars 158 Reviews |

## Images

![Building Machine Learning Powered Applications: Going from Idea to Product - Image 1](https://m.media-amazon.com/images/I/81K0-dM91hL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ I strongly recommend this book for anyone managing a DS or MLE team.
*by B***N on August 25, 2020*

I've met a lot of people who would say they are well aware of the contents of this book and that they would have nothing to learn from reading it. But, it amazes me how many times I've seen those people spin up projects and completely ignore the steps they claim to know. If you're managing a team, I think this should be required reading. "Building Machine Learning Powered Applications: Going from Idea to Product" helps to crystalize the best practices that are, all too often, neglected at fast-moving startups and on rapid-prototyping teams.

### ⭐⭐⭐⭐⭐ Exactly What I Was Looking For
*by M***. on February 26, 2020*

This book is NOT an overly technical book. The way I read it, it's a book that's centered around the lessons the author, Emmanuel , learned during his time as a data scientist/ML engineer. He formats these lessons in such a way that makes the book extremely easy to read and grasp. As a newly-hired data scientist who has been charged with created the company's anomaly detection application, this book will serve me well!

### ⭐⭐⭐ introductory and superficial
*by J***N on August 5, 2020*

This book is introductory and superficial. Probably good for aspiring/junior data scientists, but not very interesting for more experienced practitioners.

## Frequently Bought Together

- Building Machine Learning Powered Applications: Going from Idea to Product
- Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
- Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

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*Product available on Desertcart Poland*
*Store origin: PL*
*Last updated: 2026-05-02*