Have you ever wondered whom to thank for some of the modern conveniences you might have started taking for granted, like Siri, Cortana or Alexa (assuming you agree these are conveniences)? The people at the Association for Computing Machinery (ACM) decided to thank Geoffrey Hinton, Yoshua Bengio and Yann LeCun in April of this year by honoring them with the Turing Award for their contributions to deep learning and neural networks. These contributions are put to use every time you log into your smartphone using fingerprint or facial recognition or when you use Google Photos or a voice assistant, and likely every time you use Amazon, Netflix, Facebook or Instagram. The advances in automatic language translation and autonomous cars in recent years arguably wouldn't have progressed as rapidly had it not been for the contributions of these three researchers. All of that is still an understatement of their contributions to artificial intelligence (AI).
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?
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.
A large number of E-Commerce and tech companies rely on real time training and predictions for their products. Google predicts real time click-through rates for their ads. This is used as an input to their auction mechanism, apart from a bid from the advertiser to decide which ads to show to the user.
We're almost done with the first week of 2019 and with the weekend coming up, you deserve to take a much needed break from work and post-holiday hangovers. Spend this weekend getting your home in order with deals on products that can help you out. We've rounded up the best deals on home products and vacuums, all sorts of tech devices, and Amazon devices for video streaming, smart home, and home security. We also found deals on Udemy online courses for just about anything, such as web development, animation, photography, and more. Here are the best deals from Amazon, Walmart, Best Buy, and Macy's for Thursday, Jan. 3.