If you're ready to upgrade your living room setup before the cold, winter months arrive, Amazon's Prime Early Access Sale has a bunch of deals you should consider. It's not often that most people upgrade their TVs, but this sales event has a number of good discounts on TV sets of all sizes from brands including LG, Samsung, Sony and others. For those that are already happy with their tube, Amazon has also discounted a bunch of home theater gadgets include streaming devices, soundbars and more, so you can upgrade your setup in a different way. Here are the best TV and home entertainment deals we found for this October Prime Day. The latest Apple TV 4K has dropped to $109. While on the expensive side, it's a set-top box that Apple lovers will appreciate.

Amazon's deal events promise hundreds of thousands of deals, but not everyone wants to spend on a big-ticket purchase. There are usually some great finds on deals under $50. We've rounded up our favorites, whether you're looking for a new Roku or Echo Dot, or want to own your favorite TV series on DVD. The WIRED Gear team tests products year-round. We sorted through hundreds of thousands of deals by hand to make these picks.

Alexander Felfernig is a full professor at the Graz University of Technology (Austria) since March 2009 and received his PhD in Computer Science from the University of Klagenfurt. He directs the Applied Software Engineering (ASE) research group. His research interests include configuration systems, recommender systems, model-based diagnosis, software requirements engineering, different aspects of human decision making, and knowledge acquisition methods. In these areas, he is engaged in national research projects as well as in a couple of European Union projects. Alexander Felfernig has published numerous papers in renowned international conferences and journals (e.g., AI Magazine, Artificial Intelligence, IEEE Transactions on Engineering Management, IEEE Intelligent Systems, Journal of Electronic Commerce) and is a co-author of the book on "Recommender Systems" published by Cambridge University Press.

In year three of a global pandemic, consumers want businesses to be more empathetic. In response, brands are aligning more closely to changing consumer preferences. To deliver a superior customer experience, we see several B2C brands investing in technologies that enable personalization. But, doing this at scale, with millions of consumers, is quite a challenge. Conversational AI helps brands navigate this.

I'm Matthew Kirk, a software engineer based out of Seattle, WA. I am also the author of Thoughtful Machine Learning, where I present doing test-driven software development with data in Ruby, and Thoughtful Machine Learning with Python. I have been building web apps since 2009 and have always been "the data guy," thanks to my applied math degree and my previous life as a financial quant. In my career, I have been fortunate enough to speak around the world about software and work on exciting projects with later-stage startups. I have built social media sentiment engines, diamond recommendation tools, and e-commerce search algorithms...and always got frustrated with how my data projects never seemed to follow best development practices.

Amazon's Prime Early Access Sale is coming next week and we've already started to see a number of preview deals pop up. Devices like the Echo Show 5, Fire TV Stick 4K Max and Kindle Paperwhite have been discounted ahead of the event, and we expect to see more deals on Amazon gadgets during the two-day event. You can also pick up either of Samsung's latest foldables for hundreds of dollars less than usual, or Google's Pixel 6a for only $349. And if you're in need of a new robot vacuum, a handful of Roombas are on sale right now, too. Here are the best tech deals from this week that you can still get today.

To get the most out of this book, do not be afraid to do a little programming yourself. While we will stick to no-code tools in most cases, in certain areas it is simply easier to run a small Python or R script to ensure smooth operations. For example, we will be pulling data from HTTP REST APIs to build AI predictions into our dashboards. Or we will do some basic data processing in Python's pandas or R's Tidyverse. If you are open and willing to learn some of these practices, this book will give you everything you need to create a first version of an AI use case prototype on your own, without any hand-holding, thanks to ready-to-use code templates.

Learn the different types of Algorithms and how they work Learn about the practical uses of Algorithms Get background knowledge about Algorithms with concrete examples Master Selection sort and Recursion Discover Quicksort with real-life examples Learn about Hashtags and why they are useful Discover Breadth-first search and Dijkstra's algorithm Master dynamic programming

In recent years, between lockdowns, curfews, supply chain disruptions, and energy crunches, retailers must have felt like dinosaurs trying to dodge a rain of asteroids and avoid extinction. But unlike those giant prehistoric reptiles, the retail industry could count on a full array of technological innovations to better meet the challenges of these difficult times. One of the most impactful tools in this arsenal has certainly turned out to be artificial intelligence, including its powerful sub-branch known as machine learning (ML). Let's briefly frame the nature of this technology and explore the key use cases of machine learning in retail. Machine learning in retail relies on self-improving computer algorithms created to process data, spot recurring patterns and anomalies among variables, and autonomously learn how such relations affect or determine the industry's trends, phenomena, and business scenarios.

Be our guest as we celebrate 20 years of AI/ML innovation on October 25, 2022, 9:00 AM – 10:30 AM PT. The first 1,500 people to register will receive $50 of AWS credits. Over the past 20 years, Amazon has delivered many world firsts for artificial intelligence (AI) and machine learning (ML). ML is an integral part of Amazon and is used for everything from applying personalization models at checkout, to forecasting the demand for products globally, to creating autonomous flight for Amazon Prime Air drones, to natural language processing (NLP) on Alexa. And the use of ML isn't slowing down anytime soon, because ML helps Amazon exceed customer expectations for convenience, cost, and delivery speed.