For the second consecutive season, after Edwin Ríos in 2019, a rookie drove a baseball the farthest for the Dodgers. Her

While we only got one Apple Silicon SoC, the M1, Apple dove headlong into its own custom silicon pool, slotting the 5-nanometer processor in not one but three major Macs: the MacBook Air, MacBook Pro 13 inch, and the Mac Mini. while some might argue that the Mac mini is still a niche product, the MacBook Air is easily one of the company’s most popular and beloved systems. It’s long been a huge hit with students and employees who get to specify their own laptops.

However, it’s not just that Apple is shifting its system business away from Intel and that it’s seeking to unify its platforms without actually blending iOS and macOS together (hello, Universal apps). M1, at least as presented by Apple on Tuesday, is a no-compromises (save the apps that will have to use Rosetta to run on it) processor that, with the support of macOS Big Sur, is just as capable with Final Cut Pro and Logic Pro as it is with your favorite iOS game.

4 Types of Projects You Must Have in Your Data Science Portfolio Landing a DS job is not easy, but having these projects might increase your chances.towardsdatascience.com

This article will explain why I believe that generating the BuildConfig class for Android library modules is a bad idea. It’s important to highlight that I am not talking about the app module BuildConfig, I am talking about all the other BuildConfig files generated by each android module.

Apple’s decision to build its own custom silicon and gradually switch all of its Macs over to it was met with shock but not alarm. We know Apple could build the necessary power and realized that ARM-based CPU’s could offer significant battery life gains.

For the second consecutive season, after Edwin Ríos in 2019, a rookie drove a baseball the farthest for the Dodgers. Here’s a look back at the 10 longest homers, which also includes the postseason.

It wasn’t just the benchmarks, which right on through the new iPhone 12 and its A14 Bionic, continue to handily beat the best Qualcomm has to offer. It was in how these devices performed and what I could do with mobile technology. Editing 4K video on a device no bigger than my hand would’ve been classified as science fiction a decade ago and is now de rigueur.

4 Types of Projects You Must Have in Your Data Science Portfolio Landing a DS job is not easy, but having these projects might increase your chances.towardsdatascience.com

In this article, I went through 10 or the commonly used data science roles’ titles and a brief explanation of the responsibilities expected for each of them. Hopefully, this list will help you get the correct job for your skillset or at least give you an idea of what’s available.

The variety of data science0related roles often means that their respective responsibilities overlap a little — and sometimes a lot —causing confusion for applicants trying to get their dream job.

For years, I’ve marveled at the raw power of Apple’s bespoke silicon, those A-class chips that appeared to have almost limitless headroom. Apple appeared to know something about mobile processors that its competitors, more specifically Qualcomm and, secondarily, Intel, did not.

In such cases, each company hires a person — or several1to be in charge of managing the database system. A database administrator will be in charge of monitoring the database, making sure it functions properly, keep track of the data follow, and create backups and recoveries.

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o been coined as a psychological phenomenon and a defense mechanism. The kicker is that when it’s used as a defense mechanism (on an unconscious level), your partner’s strengths are exaggerated while their imperfections are ignored which acts as protective to any ambivalence or confusion you may have toward your partner. In other words, if you’re unsure about your partner’s feelings toward you or are unsure of yours toward them — boom, idealization can happen.

While not the first to do this, Microsoft and Qualcomm already partnered on the ARM-based SQ2 chip for its Surface Pro X, Apple’s far more expansive unveiling is sure to make more significant and long-lasting ripples in the system ocean.

Data science is still a developing field; as it grows, more specific technologies will emerge, such as AI or specific ML algorithms. When the field develops in that manner, new specialized job roles will be created—for example, AI specialists, Deep Learning specialists, NLP specialists, etc.