--- product_id: 17296584 title: "Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition" price: "€ 69.28" currency: EUR in_stock: true reviews_count: 12 url: https://www.desertcart.es/products/17296584-machine-learning-with-r-expert-techniques-for-predictive-modeling-to store_origin: ES region: Spain --- # Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition **Price:** € 69.28 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition - **How much does it cost?** € 69.28 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.es](https://www.desertcart.es/products/17296584-machine-learning-with-r-expert-techniques-for-predictive-modeling-to) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition [Lantz, Brett] on desertcart.com. *FREE* shipping on qualifying offers. Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition Review: Outstanding text. Highest praise! - If you need a proper introduction to Machine Learning for professional reasons or even just for your own edification, do yourself a favor and pick up this gem of text. Make sure you are 'language agnostic' before you begin. Let me explain, right now the python libraries are all the rage: Pytorch, Keras, TensorFlow, ScikitLearn, etc... Thus, you might be tempted to believe that in getting yourself acquainted with ML in R you are putting yourself at a disadvantage. You'd be wrong. Truth it, you should be approaching the subject with the idea of learning from a conceptual and practical standpoint, albeit at a high level. The language you use will make little difference at the beginning. This was my main concern as I needed to learn "python ML" for professional reasons. Make no mistake, this book along with the available code up on the author's GitHub will guide you through the language, the hard to grasp concepts, and the terminology in a way that is pedagogically so effective that you'd be left wondering how it is that most technical books never reach this level of clarity. You'll be carrying conversations with experienced ML practitioners in no time, without embarrassing yourself (too much). Take it for what it is though, an introduction. If you need to know every pedantic detail about how neural networks learn, the heavy mathematical proofs behind the algorithms, etc., then you'd be much better served looking elsewhere. Once you go through this text, you'll be able to jump on the Python bandwagon all while avoiding the risk of having the language's technicalities distract you from the core concepts. Go for it, happy learning. Review: Perfect for non-mathematicians - I use this book as a go-to manual that guides me step-by-step in implementing different machine learning techniques. It has a ton of ready code you can use in R. The author explains very well the logic of each technique and this is very helpful to decide what technique to use depending on the nature of the problem you explore. The book is non-mathematical but it contains references if you want to dig into the math behind the algorithms which I do every now and then even though I come from the humanities (sociology) and business (MBA). I think it is a great book, easy to understand and teaches a lot of very practical skills. I hope the author updates regularly the book with new editions as the techniques and the algorithms evolve over time. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #2,038,012 in Books ( See Top 100 in Books ) #331 in Machine Theory (Books) #343 in Mathematical & Statistical Software #644 in Programming Algorithms | | Customer Reviews | 4.5 4.5 out of 5 stars (133) | | Dimensions | 7.5 x 1.02 x 9.25 inches | | Edition | 2nd ed. | | ISBN-10 | 1784393908 | | ISBN-13 | 978-1784393908 | | Item Weight | 8.4 ounces | | Language | English | | Print length | 426 pages | | Publication date | July 31, 2015 | | Publisher | Packt Publishing | ## Images ![Machine Learning with R: Expert techniques for predictive modeling to solve all your data analysis problems, 2nd Edition - Image 1](https://m.media-amazon.com/images/I/71ks-E4BQVL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Outstanding text. Highest praise! *by W***. on September 4, 2017* If you need a proper introduction to Machine Learning for professional reasons or even just for your own edification, do yourself a favor and pick up this gem of text. Make sure you are 'language agnostic' before you begin. Let me explain, right now the python libraries are all the rage: Pytorch, Keras, TensorFlow, ScikitLearn, etc... Thus, you might be tempted to believe that in getting yourself acquainted with ML in R you are putting yourself at a disadvantage. You'd be wrong. Truth it, you should be approaching the subject with the idea of learning from a conceptual and practical standpoint, albeit at a high level. The language you use will make little difference at the beginning. This was my main concern as I needed to learn "python ML" for professional reasons. Make no mistake, this book along with the available code up on the author's GitHub will guide you through the language, the hard to grasp concepts, and the terminology in a way that is pedagogically so effective that you'd be left wondering how it is that most technical books never reach this level of clarity. You'll be carrying conversations with experienced ML practitioners in no time, without embarrassing yourself (too much). Take it for what it is though, an introduction. If you need to know every pedantic detail about how neural networks learn, the heavy mathematical proofs behind the algorithms, etc., then you'd be much better served looking elsewhere. Once you go through this text, you'll be able to jump on the Python bandwagon all while avoiding the risk of having the language's technicalities distract you from the core concepts. Go for it, happy learning. ### ⭐⭐⭐⭐⭐ Perfect for non-mathematicians *by N***O on July 2, 2019* I use this book as a go-to manual that guides me step-by-step in implementing different machine learning techniques. It has a ton of ready code you can use in R. The author explains very well the logic of each technique and this is very helpful to decide what technique to use depending on the nature of the problem you explore. The book is non-mathematical but it contains references if you want to dig into the math behind the algorithms which I do every now and then even though I come from the humanities (sociology) and business (MBA). I think it is a great book, easy to understand and teaches a lot of very practical skills. I hope the author updates regularly the book with new editions as the techniques and the algorithms evolve over time. ### ⭐⭐⭐⭐ Excellent book. It covers all you need to get ... *by I***R on June 14, 2016* Excellent book. It covers all you need to get started with a solid foundation in machine learning. I would highly recommend it to any programmer (or reasonably logically minded individual) who wants to get into machine learning. EDIT: After finishing the book, I'd still recommend it, and everything I wrote previously still applies. I am now actively using the knowledge I gained from this book on a project. However, I am reducing my rating to 4 stars because the publisher/editor is absolutely atrocious. I found at least a dozen minor errors (mostly typographical such as repeating a section of a sentence) that never should have made it past a simple proofreading. ## Frequently Bought Together - Machine Learning With R - Deep Learning (Adaptive Computation and Machine Learning series) - Hands-On Machine Learning with R (Chapman & Hall/CRC The R Series) --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.es/products/17296584-machine-learning-with-r-expert-techniques-for-predictive-modeling-to](https://www.desertcart.es/products/17296584-machine-learning-with-r-expert-techniques-for-predictive-modeling-to) --- *Product available on Desertcart Spain* *Store origin: ES* *Last updated: 2026-05-19*