--- product_id: 431759953 title: "Packt Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python" price: "A$116" currency: AUD in_stock: true reviews_count: 5 url: https://www.desertcart.com.au/products/431759953-packt-hands-on-machine-learning-for-algorithmic-trading-design-implement store_origin: AU region: Australia --- # Packt Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python **Price:** A$116 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Packt Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python - **How much does it cost?** A$116 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.com.au](https://www.desertcart.com.au/products/431759953-packt-hands-on-machine-learning-for-algorithmic-trading-design-implement) ## 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 Buy Packt Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python by Jansen, Stefan online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase. Review: I love all Stefan's books, which are all well written and logically organized - very easy to follow. They not only provide detailed information on the theories behind, but also provide many practical examples and even Jupyter Notebooks that can be used in real life situations. They also covered almost all areas of Machine Learning in trading. They are just like THE bibles of Machine Learning in trading to me. Highly recommended! Got both "Hands-On Machine Learning for Algorithmic Trading" and "Machine Learning for Algorithmic Trading", if you want to master Machine Learning in trading! Review: Actually I found this book very useful. However, you do need to be experienced in Python and machine learning fundamentals. Yes, the scripts have errors even from the latest github download, but if you know Python, you can easily fix those errors yourself. I usually hate Jupyter Notebook, which is a very bad way to demonstrate Python coding, as in general you always run a standalone piece of code for any real world applications. So what I did was I set up a PyDev project in Eclipse, created a package, then modules for the Jupyter notebooks. Then I manually copied the script fragments from jupyter to my PyDev modules, which allowed me to see the errors immediately and I then fixed them instantly. BTW, I also do not like Anaconda, which messed up my macOS env entirely, so I just installed Jupyter and all Python libraries with pip without using anaconda. These are one-time setups, so really no big deal. If you have not warmed yourself up on machine learning, check out Machine Learning: A Quantitative Approach , which has a comprehensive coverage of both statistical machine learning and artificial neural networks, with many good working examples in Python, C++ and C. The same author published another book Forecasting and Timing Markets: A Quantitative Approach , which is worth to check out as well. Note that the author is not supposed to teach Python and ML in great detail in this book, which are the skills we audience need to grab ourselves. Once you followed the above suggestions I shared, you should be good to go. The author is a well-recognized expert in the field, and we should all be able to learn from him a lot. ## Technical Specifications | Specification | Value | |---------------|-------| | Customer reviews | 3.9 3.9 out of 5 stars (32) | | Dimensions | 19.05 x 3.94 x 23.5 cm | | Edition | Standard Edition | | ISBN-10 | 178934641X | | ISBN-13 | 978-1789346411 | | Item weight | 1.16 Kilograms | | Language | English | | Print length | 684 pages | | Publication date | 31 December 2018 | | Publisher | Packt Publishing | ## Images ![Packt Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python - Image 1](https://m.media-amazon.com/images/I/71P2FbewIQL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Review *by J***G on 31 January 2021* I love all Stefan's books, which are all well written and logically organized - very easy to follow. They not only provide detailed information on the theories behind, but also provide many practical examples and even Jupyter Notebooks that can be used in real life situations. They also covered almost all areas of Machine Learning in trading. They are just like THE bibles of Machine Learning in trading to me. Highly recommended! Got both "Hands-On Machine Learning for Algorithmic Trading" and "Machine Learning for Algorithmic Trading", if you want to master Machine Learning in trading! ### ⭐⭐⭐⭐⭐ Review *by Y***N on 14 May 2019* Actually I found this book very useful. However, you do need to be experienced in Python and machine learning fundamentals. Yes, the scripts have errors even from the latest github download, but if you know Python, you can easily fix those errors yourself. I usually hate Jupyter Notebook, which is a very bad way to demonstrate Python coding, as in general you always run a standalone piece of code for any real world applications. So what I did was I set up a PyDev project in Eclipse, created a package, then modules for the Jupyter notebooks. Then I manually copied the script fragments from jupyter to my PyDev modules, which allowed me to see the errors immediately and I then fixed them instantly. BTW, I also do not like Anaconda, which messed up my macOS env entirely, so I just installed Jupyter and all Python libraries with pip without using anaconda. These are one-time setups, so really no big deal. If you have not warmed yourself up on machine learning, check out Machine Learning: A Quantitative Approach , which has a comprehensive coverage of both statistical machine learning and artificial neural networks, with many good working examples in Python, C++ and C. The same author published another book Forecasting and Timing Markets: A Quantitative Approach , which is worth to check out as well. Note that the author is not supposed to teach Python and ML in great detail in this book, which are the skills we audience need to grab ourselves. Once you followed the above suggestions I shared, you should be good to go. The author is a well-recognized expert in the field, and we should all be able to learn from him a lot. ### ⭐⭐⭐ Review *by W***F on 15 March 2020* book has very good and quick contents but graphs miss colors which made them impossible to read ## Frequently Bought Together - Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python - Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition - Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading) --- ## 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.com.au/products/431759953-packt-hands-on-machine-learning-for-algorithmic-trading-design-implement](https://www.desertcart.com.au/products/431759953-packt-hands-on-machine-learning-for-algorithmic-trading-design-implement) --- *Product available on Desertcart Australia* *Store origin: AU* *Last updated: 2026-05-18*