He can customize his Samsung phone, he said, far more happily than if he had an iPhone. My phone's a Samsung and I wouldn't buy an iPhone." I'm slightly skeptical by nature so I asked him whether, by any chance, he was a MacBook user. A MacBook will last 10."Īlso: Apple sued for lying about iPhone X notch in ads This salesman, though, offered a slightly dismissive wave toward the HP laptops and said: "These things will last for five years. Then again, it's been a while since Cupertino compared its wares to Windows. This isn't something I've heard Apple use too often as a selling argument. But there's a simple reason to buy a MacBook." Some of the programs she works with would be different. "Some things will look a little different. The Spectre is a mere lightweight in comparison, at 4.53 lbs.Īnd then the Best Buy salesman tossed in a suggestion I hadn't expected: "You could always get her a MacBook." I tried to pick it up and concluded it would also offer all the backache my wife could fear. The alternative, said the salesman, was the HP Envy 17, which offered a huge screen and all the power my wife needed.Īlso: Apple's iPhone XR: Bad marketing or sneakily clever?
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Had I been of a Windows mindset, this would have certainly moved me. "And you can use it to do just about everything." "It's got the Intel Core i7," explained the salesman. This seemed to me a quite nifty thing that folds this way, that way and several other ways.
Instead, he instantly drifted to the HP section. I thought he might suggest something from Lenovo or even Microsoft. So, when a salesman asked if I had any questions, I wondered if he could recommend something better for my wife. Why, one even tried to break a MacBook in front of me. The employees are always prepared to chat without prejudice. My visits to Best Buy have always been edifying. So, given that her birthday is approaching, I went to Best Buy to see whether one of its fine objective salespeople could recommend something better. This thing was heavier than a conversation with a zealot priest.īut my wife's a scientist who does serious work and, apparently in the scientific world, serious work happens on big Windows machines.Īlso: Apple loses the plot with iPhone XR I confess I picked it up once and was a little surprised that people do this on a regular basis. It's a little heavy, a little cumbersome and, just occasionally, my wife addresses it in stern terms. The best VPNs for iPhones, iPads, and iOS in 2021.
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The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
(iii) Best practices in machine learning (bias/variance theory innovation process in machine learning and AI). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. Many researchers also think it is the best way to make progress towards human-level AI. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is the science of getting computers to act without being explicitly programmed.
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