Python programmers will improve their computer science skills with these useful one-liners. Python One-Liners will teach you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert. The book's five chapters cover tips and tricks, regular expressions, machine learning, core data science topics, and useful algorithms. Detailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills.

Some of the most popular Christmas presents are being sold online with mark-ups of more than 70% after selling out in major high street stores because of the global shortage of microchips. Supply-chain bottlenecks and the computer-chip shortages are affecting availability of some of the most sought-after gifts, from games consoles to Dyson products. Shoppers were warned last week of a delay of at least one month for some of the most popular iPad models. Games consoles have been in limited supply for most of the pandemic, and companies are struggling to cope with the surge in demand for Christmas. Customers have attacked "scalpers" online for buying stock and pushing up prices.

This is a wonderful book! I'm pleased that the next generation of scientists will finally be able to learn this important topic. This is the first book I've seen that has up-to-date and well-rounded coverage. Thank you to the authors!

"Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.

Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

Your contact center connects your business to your community, enabling customers to order products, callers to request support, clients to make appointments, and much more. When calls go well, callers retain a positive image of your brand, and are likely to return and recommend you to others. And the converse, of course, is also true. Naturally, you want to do what you can to ensure that your callers have a good experience. Contact Lens for Amazon Connect provides real-time supervisor and agent assist features that could be just what you need, but you may not yet be using Amazon Connect.

With Christmas right around the corner, now's the time to make sure you have all your gifts in check and grab any last-minute holiday gifts you may need. Thankfully, there remain a good number of tech deals available, and a good portion of them are still slated to arrive before the holiday if you're quick to order. Apple's second-generation AirPods are still on sale for $90, while a couple of colors of the Apple Watch Series 7 are $50 off. NVIDIA's Shield TV Pro streamer remains on sale for $180 and you can get $230 off one of the latest Roomba robot vacuums at Wellbots. Here are the best tech deals from this week that you can still get today.

When it comes to smart speakers, Amazon has a slew of voice-enabled Echo devices to choose from, one for practically every occasion. Maybe you want to add Alexa to a spare bedroom, for example, or you're looking for an Echo device that will allow you to easily manage your lighting or other smart home devices. Regardless of the reason, this is one of the best times of the year to pick up an Echo device, even if Black and Cyber Monday are behind us. Last year, Amazon released the fourth generation of the Echo Dot, which looks more like a sphere than an actual dot. But if you prefer the previous design, don't worry: Amazon has not discontinued the third-gen Echo Dot, which still retains the familiar dot shape and is currently on sale for just $19.99 at Amazon.

Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. In this 7 in 1 version you get a full collection of The Python Bible series. From the first volume on, you will be lead on a structured way to the mastery of Python. Besides the basics and the intermediate concepts, you will also learn how to apply it in areas like machine learning, financial analysis and neural networks. At the end you will additionally be introduced to one of the most interesting fields of computer science, which is computer vision After reading this collection, you will not only understand the programming language but you will also be able to work on projects in the stated fields.

From the author of a world bestseller published in eleven languages, The Hundred-Page Machine Learning Book, this new book by Andriy Burkov is the most complete applied AI book out there. It is filled with best practices and design patterns of building reliable machine learning solutions that scale. Andriy Burkov has a Ph.D. in AI and is the leader of a machine learning team at Gartner. This book is based on Andriy's own 15 years of experience in solving problems with AI as well as on the published experience of the industry leaders. Here's what Cassie Kozyrkov, Chief Decision Scientist at Google tells about the book in the Foreword: "You're looking at one of the few true Applied Machine Learning books out there. That's right, you found one! A real applied needle in the haystack of research-oriented stuff. Excellent job, dear reader... unless what you were actually looking for is a book to help you learn the skills to design general-purpose algorithms, in which case I hope the author won't be too upset with me for telling you to flee now and go pick up pretty much any other machine learning book. The machine learning equivalent of a bumper guide to innovating in recipes to make food at scale. Since you haven't read the book yet, I'll put it in culinary terms: you'll need to figure out what's worth cooking / what the objectives are (decision-making and product management), understand the suppliers and the customers (domain expertise and business acumen), how to process ingredients at scale (data engineering and analysis), how to try many different ingredient-appliance combinations quickly to generate potential recipes (prototype phase ML engineering), how to check that the quality of the recipe is good enough to serve (statistics), how to turn a potential recipe into millions of dishes served efficiently (production phase ML engineering), and how to ensure that your dishes stay top-notch even if the delivery truck brings you a ton of potatoes instead of the rice you ordered (reliability engineering). This book is one of the few to offer perspectives on each step of the end-to-end process."