Introducing Machine Learning

Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning...
$105.68 AUD
$105.68 AUD
SKU: 9780135565667
Product Type: Books
Please hurry! Only 6 left in stock
Author: Dino Esposito
Format: Paperback
Language: English
Subtotal: $105.68
10 customers are viewing this product
Introducing Machine Learning by Esposito, Dino

Introducing Machine Learning

$105.68

Introducing Machine Learning

$105.68
Author: Dino Esposito
Format: Paperback
Language: English
Master machine learning concepts and develop real-world solutions
Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft's powerful ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks. The authors conclude by introducing valuable runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning.

- 14-time Microsoft MVP Dino Esposito and Francesco Esposito help you
- Explore what's known about how humans learn and how intelligent software is built - Discover which problems machine learning can address - Understand the machine learning pipeline: the steps leading to a deliverable model - Use AutoML to automatically select the best pipeline for any problem and dataset - Master ML.NET, implement its pipeline, and apply its tasks and algorithms - Explore the mathematical foundations of machine learning - Make predictions, improve decision-making, and apply probabilistic methods - Group data via classification and clustering - Learn the fundamentals of deep learning, including neural network design - Leverage AI cloud services to build better real-world solutions faster
About This Book
- For professionals who want to build machine learning applications: both developers who need data science skills and data scientists who need relevant programming skills - Includes examples of machine learning coding scenarios built using the ML.NET library

Author: Dino Esposito, Francesco Esposito
Publisher: Microsoft Press
Published: 03/01/2020
Pages: 400
Binding Type: Paperback
Weight: 1.45lbs
Size: 9.10h x 7.30w x 0.90d
ISBN: 9780135565667

About the Author
Dino Esposito: If I look back, I count more 20 books authored and 1000+ articles in a 25-year-long career. I've been writing the "Cutting Edge" column for MSDN Magazine month after month for 22 consecutive years. It is commonly recognized that such books and articles have helped the professional growth of thousands of .NET and ASP.NET developers and software architects worldwide.

After I escaped a dreadful COBOL project, in 1992 I started as a C developer, and since then, I have witnessed MFC and ATL, COM and DCOM, the debut of .NET, the rise and fall of Silverlight, and the ups and downs of various architectural patterns. In 1995 I led a team of five dreamers who actually deployed things that today we would call Google Photos and Shuttershock-desktop applications capable of dealing with photos stored in a virtual place that nobody had called the cloud yet. Since 2003 I have written Microsoft Press books about ASP.NET and also authored the bestseller Microsoft .NET: Architecting Applications for the Enterprise. I have a few successful Pluralsight courses on .NET architecture, ASP.NET MVC UI, and, recently, ML.NET. As architect of most of the backoffice applications that keep the professional tennis world tour running, I've been focusing on renewable energy, IoT, and artificial intelligence for the past two years as the corporate digital strategist at BaxEnergy.

You can get in touch with me through https: //youbiquitous.net or twitter.com/despos, or you can connect to my LinkedIn network.

Francesco Esposito: I was 12 or so in the early days of the Windows Phone launch, and I absolutely wanted one of those devices in my hands. I could have asked Dad or Mom to buy it, but I didn't know how they would react. As a normal teenager, I had exactly zero chance of having someone buy it for me. So, I found out I was quite good at making sense of programming languages and impressed some folks at Microsoft enough to have a device to test. A Windows Phone was only the beginning; then came my insane passion for iOS and, later, the shortcuts of C#.

The current part of my life began when I graduated from high school, one year earlier than expected. By the way, only 0.006 percent of students do that in Italy. I felt as powerful as a semi-god and enrolled in mathematics. I failed my first exams, and the shock put me at work day and night on ASP.NET as a self punishment. I founded my small software company, Youbiquitous, and began living on my own money. In 2017, my innate love for mathematics was resurrected and put me back on track with studies and led me to take the plunge in financial investments and machine learning.

This book, then, is the natural consequence of the end of my childhood. I wanted to give something back to my dad and help him make sense of the deep mathematics behind neural networks and algorithms. By the way, I have a dream: developing a supertheory of intelligence that would mathematically explore why the artificial intelligence of today works and where we can go further.

You can get in touch with me at https: //youbiquitous.net.


This title is only available via back order

Returns Policy

You may return most new, unopened items within 30 days of delivery for a full refund. We'll also pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.).

You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).

If you need to return an item, simply login to your account, view the order using the "Complete Orders" link under the My Account menu and click the Return Item(s) button. We'll notify you via e-mail of your refund once we've received and processed the returned item.

Shipping

We can ship to virtually any address in the world. Note that there are restrictions on some products, and some products cannot be shipped to international destinations.

When you place an order, we will estimate shipping and delivery dates for you based on the availability of your items and the shipping options you choose. Depending on the shipping provider you choose, shipping date estimates may appear on the shipping quotes page.

Please also note that the shipping rates for many items we sell are weight-based. The weight of any such item can be found on its detail page. To reflect the policies of the shipping companies we use, all weights will be rounded up to the next full pound.

Related Products

Recently Viewed Products