---
product_id: 344319312
title: "OPTIMIZATION FOR DATA ANALYSIS"
price: "541 ₾"
currency: GEL
in_stock: true
reviews_count: 3
url: https://georgia.desertcart.com/products/344319312-optimization-for-data-analysis
store_origin: GE
region: Georgia
---

# OPTIMIZATION FOR DATA ANALYSIS

**Price:** 541 ₾
**Availability:** ✅ In Stock

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- **What is this?** OPTIMIZATION FOR DATA ANALYSIS
- **How much does it cost?** 541 ₾ with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [georgia.desertcart.com](https://georgia.desertcart.com/products/344319312-optimization-for-data-analysis)

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## Description

Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic optimization techniques and their fundamental properties provides important grounding for students, researchers, and practitioners in these areas. This text covers the fundamentals of optimization algorithms in a compact, self-contained way, focusing on the techniques most relevant to data science. An introductory chapter demonstrates that many standard problems in data science can be formulated as optimization problems. Next, many fundamental methods in optimization are described and analyzed, including: gradient and accelerated gradient methods for unconstrained optimization of smooth (especially convex) functions; the stochastic gradient method, a workhorse algorithm in machine learning; the coordinate descent approach; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.

Review: poorly written & explained - very poorly written & explained.. sections of it are completely incomprehensible ...you cannot easily self-study this book
Review: Terrible for people who are new to the field of optimization - While this book contains a collection of fundamental results in the field, it is difficult to recommend this book to learn the subject. The text lacks clarity, and seems to move from one result to the next without much explanation. The proofs are hard to follow, often omitting important steps, and, to a reader who is unfamiliar with the field, seemingly draw conclusions from thin air. In addition, authors often use unfamiliar concepts and notation without explaining their meaning, sometimes making the text impenetrable to people who are new to optimization theory.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #570,193 in Books ( See Top 100 in Books ) #899 in Databases & Big Data #4,680 in Mathematics (Books) #5,137 in Computer Science Books |
| Customer Reviews | 3.7 out of 5 stars 18 Reviews |

## Images

![OPTIMIZATION FOR DATA ANALYSIS - Image 1](https://m.media-amazon.com/images/I/61+xrLBRt1L.jpg)

## Customer Reviews

### ⭐⭐ poorly written & explained
*by S***R on 28 February 2024*

very poorly written & explained.. sections of it are completely incomprehensible ...you cannot easily self-study this book

### ⭐⭐ Terrible for people who are new to the field of optimization
*by E***S on 9 March 2025*

While this book contains a collection of fundamental results in the field, it is difficult to recommend this book to learn the subject. The text lacks clarity, and seems to move from one result to the next without much explanation. The proofs are hard to follow, often omitting important steps, and, to a reader who is unfamiliar with the field, seemingly draw conclusions from thin air. In addition, authors often use unfamiliar concepts and notation without explaining their meaning, sometimes making the text impenetrable to people who are new to optimization theory.

### ⭐⭐⭐ Book is good. The Kindle version is not.
*by A***. on 26 January 2023*

The book contains a concise collection of essential optimization algorithms and methods for machine learning and data analysis. It is a nice work by great authors. However, the Kindle edition is at the bare minimum quality. Math notations and equations are not fully vectorized. Many symbols are blurry. Some equations are way too small and impossible to read. To name a few: pp. 17, loc. 601 pp. 29, loc. 872 pp. 30, loc. 895 pp. 59, loc. 1489 pp. 65, loc. 1622 ...(and a LOT more!) I know I can double-click an equation to enlarge it. But that makes things barely visible and still blurry not clear. To begin with, having to double-click equations really hurt the reading experience and made me lose focus.

## Frequently Bought Together

- OPTIMIZATION FOR DATA ANALYSIS
- Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
- Lectures on Convex Optimization

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*Product available on Desertcart Georgia*
*Store origin: GE*
*Last updated: 2026-08-31*