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.
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."
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?
Apple recently announced their partnership with IBM to leverage IBM's Watson service to train machine learning models for CoreML. So that mean you now can build apps that leverage Watson machine learning models on iPhone and iPad, even when your device is offline. Your apps can quickly analyze images, accurately classify visual content, and easily train models using Watson Services. With this video series you will learn to onboard with not only pre-trained Watson models but customize and train models that continuously learn over time. In Apple's own words "You can build apps that seamlessly integrate with IBM Cloud using the IBM Cloud Developer Console for Apple.
That's how the expression goes, right? With the weekend now here, w've rounded up the best deals that should make it easier to rest and relax during your days off. We found deals on 4K smart TVs, kitchen products like Instant Pot and Vitamix, smart home gear from Google and Facebook, and Amazon devices for video streaming and home security. There are also deals on Udemy online courses for web development, animation, and more starting at $10.99. Save $131 on KitchenAid Deluxe 4.5 Quart Stand Mixer at Walmart Here are the rest of the best deals from across the internet for Friday, Dec. 7: Save on brilliant 4K TVs.