To build a machine learning model the first step is to prepare the dataset. Data visualization, feature engineering, and

Author : jdav
Publish Date : 2021-01-06 07:00:28


To build a machine learning model the first step is to prepare the dataset. Data visualization, feature engineering, and

Finally, the true facies labels(left track) is plotted as a criterion to compare with different model prediction results in the blind well. Visually, extras tree and random forest model prediction seem better than the rest of the models. One important point that we can see is that classifiers try to detect thin layers inside thick layers.

If you do want fitness benefits, Holder recommends a minimum 10-minute workout. Here’s what he suggests that looks like: Warm up for two to three minutes (jog in place, do some dynamic exercises like knee hugs, leg swings, or side lunges with rotations); then do an upper body exercise, lower body exercise, cardio exercise, and core exercise for 30 seconds each; take a quick break after a set, then repeat that set of four exercises four times; cooldown for two minutes, and get back to your day.

I tried another one called the Japanese straightening treatment (which sometimes goes by its more PC name, thermal reconditioning). This one did do something, but the Japanese didn’t make the process any easier than the Brazilian. My eyes may not have been watering, but I was in the styling chair for literally six hours on the Saturday of my first (and last) appointment. I had my hair washed, blow-dried, and flat-ironed no less than three times. The grand total came to $1,000. And then my curly roots grew in two months later, and my hair started breaking off again. So we were basically right back at relaxer, just with an extra zero on the end and a White stylist behind the chair.

In any event, I dutifully sat in my basement chair while my eyes watered. Kind of like the relaxer. In fact, the entire treatment mimicked the relaxer — burn out the curls and then melt the chemical into the hair with blow dryers and flat irons. The big difference is that the Brazilian Blowout cost me about four times more and was done alongside curly-haired White clients. I note that it did get my hair super straight, though.

Finally, today marks the day where, for Intel, those two lines on the graph intersect. Unlike the last time the two lines intersected in the personal computer market, Intel is not the one doing the disrupting. And now, it’s just a matter of time before the performance of ARM-based chips continues its march upmarket into Intel’s last refuge: the server business.

He might not have realized it at the time, but when Grove was reading Christensen’s work, he wasn’t just reading about how Intel would go on to conquer the personal computer market. He was also reading about what would eventually befall the company he co-founded, 25 years before it happened.

If you enjoyed this article, you might like my free newsletter here — I’ll email you (very occasionally!) when there’s a new post. You might also you might enjoy Exponent, the podcast I co-host with Ben Thompson of Stratechery. We talk about this article on episode 190.

I loved the Brazilian, but I hated the formaldehyde. I just couldn’t get over it. I was not quitting yet, though. I am the type who goes big when she has a goal. I believe that type has a name — “A.” I tried a truly formaldehyde-free (but still $400) treatment called “the Cezanne.” It didn’t do shit.

As a final point, selecting the best model can be a subjective topic depending on your expectancy from a model. For example, if you are looking for a specific thin layer in geological succession, and a model could predict that layer very well while did poor prediction for other layers, we can employ that model, though we are aware that its evaluation metrics are not good enough altogether.

Similarly, Apple’s initial foray into chips didn’t produce anything that special in terms of silicon. But it didn’t need to — people were happy to just have a computer that they could keep in their pocket. Apple has gone on to sell a lot of iPhones, and all those sales have funded a lot of R



Category : general

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