Best deals for Dec. 11: Instant Pots, Vitamix blenders, AncestryDNA kits, Apple HomePods, KitchenAid mixers

Mashable

With just two weeks left to shop for Christmas presents, we're rounding up the best deals from Amazon, Walmart, Best Buy, and Macy's. Some of the hottest sales today include AncestryDNA test kits, various models of the Instant Pot, smart home products like the Apple HomePod and Google Home, and plenty of Amazon devices (including the all new Kindle Paperwhite e-reader.) We've also found deals on Udemy adult learning online courses starting at just $10.99. Save $108 on Ninja Hot & Cold Brewed System from Macy's Save $131 on KitchenAid Deluxe 4.5 Quart Stand Mixer at Walmart Here are the rest of the best deals for Tuesday, Dec. 11: KitchenAid Deluxe 4.5 Quart Stand Mixer -- $199.00 (list price $329.99) Let Google help you out in the kitchen.


Best deals for Nov. 29: KitchenAid, MacBook, Philips Hue, Google smart home, DNA test kits, and more

Mashable

Get the most out of your Thursday. We've rounded up the best deals from Amazon, Walmart, Best Buy, and Macy's on a few Apple products, kitchenware, smart home products, and Amazon devices for home security and video streaming. We also have deals on DNA test kits from National Geographic, as well as adult learning online courses from Udemy priced at just $9.99 -- which is an extended Cyber Monday sale. Save $50 on National Geographic DNA Test Kit: Geno 2.0 Next Generation (Ancestry) on Amazon Stand Mixer with promo code FRIEND at Macy's Save $50 on Lenovo Smart Display 8" with Google Assistant at Walmart And these are the rest of the best deals from across the internet for Thursday, Nov. 29: Stand Mixer -- $259.99 plus an extra 10% off with promo code FRIEND (list price $474.99) Stream your favorite TV shows and movies with Amazon.


Should you become a data scientist?

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There is no shortage of articles attempting to lay out a step-by-step process of how to become a data scientist. Are you a recent graduate? Do this… Are you changing careers? Do that… And make sure you're focusing on the top skills: coding, statistics, machine learning, storytelling, databases, big data… Need resources? Check out Andrew Ng's Coursera ML course, …". Although these are important things to consider once you have made up your mind to pursue a career in data science, I hope to answer the question that should come before all of this. It's the question that should be on every aspiring data scientist's mind: "should I become a data scientist?" This question addresses the why before you try to answer the how. What is it about the field that draws you in and will keep you in it and excited for years to come? In order to answer this question, it's important to understand how we got here and where we are headed. Because by having a full picture of the data science landscape, you can determine whether data science makes sense for you. Before the convergence of computer science, data technology, visualization, mathematics, and statistics into what we call data science today, these fields existed in siloes -- independently laying the groundwork for the tools and products we are now able to develop, things like: Oculus, Google Home, Amazon Alexa, self-driving cars, recommendation engines, etc. The foundational ideas have been around for decades... early scientists dating back to the pre-1800s, coming from wide range of backgrounds, worked on developing our first computers, calculus, probability theory, and algorithms like: CNNs, reinforcement learning, least squares regression. With the explosion in data and computational power, we are able to resurrect these decade old ideas and apply them to real-world problems. In 2009 and 2012, articles were published by McKinsey and the Harvard Business Review, hyping up the role of the data scientist, showing how they were revolutionizing the way businesses are operating and how they would be critical to future business success. They not only saw the advantage of a data-driven approach, but also the importance of utilizing predictive analytics into the future in order to remain competitive and relevant. Around the same time in 2011, Andrew Ng came out with a free online course on machine learning, and the curse of AI FOMO (fear of missing out) kicked in. Companies began the search for highly skilled individuals to help them collect, store, visualize and make sense of all their data. "You want the title and the high pay?


A list of artificial intelligence tools you can use today -- for industry specific (3/3)

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Part 3. Here's a look at industry specific companies that utilise various forms of artificial intelligence to solve some really interesting and particular problems for different markets. Basket -- e-commerce shopping cart chatbot Choice.ai AltSchool -- a platform made to improve learning capabailities Content Technologies (CTI) -- research and development company Coursera -- online courses from top universities Gradescope -- streamlines the tedious parts of grading Hugh -- helps library users find any book quickly Ivy.ai -- customer service chatbot for higher education Knewton -- personalised learning for high and primary schools Volley -- makes training and development more engaging and effective AlphaSense -- highly intelligent search functionality Alta5 -- scriptable trading automation for your online brokerage account Analytic.ai Atomwise -- for novel small molecule discovery Babylon -- online doctor consultations using AI BuddiHealth -- helps improve process, payment systems and costs with RCM Behold.ai Imagia -- helps detect changes in cancer early Kuznech -- computer vision products range Lunit Inc. -- a range of medical imaging software Zebra Medical Vision -- medical imaging to help physicians and practitioners Cape Analytics -- identify property attributes at scale for underwriting Underwrite.ai


Artificial Intelligence: A Free Online Course from MIT

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That's because, to paraphrase Amazon's Jeff Bezos, artificial intelligence (AI) is "not just in the first inning of a long baseball game, but at the stage where the very first batter comes up." Look around, and you will find AI everywhere--in self driving cars, Siri on your phone, online customer support, movie recommendations on Netflix, fraud detection for your credit cards, etc. To be sure, there's more to come. Featuring 30 lectures, MIT's course "introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence." It includes interactive demonstrations designed to "help students gain intuition about how artificial intelligence methods work under a variety of circumstances."