Interviews aren't only about technical skills.

Here are some questions to help you prepare.

🧵👇

Machine learning education is broken.

If you are preparing for a research position, you are good. If you are looking to get out there and start solving problems, not even close.

Here are some thoughts so you can get ahead.

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Most classes, courses, and books cover the same road.

They start with a dataset. They finish with a working model. The focus is always on everything that happens in between.

Dataset → Model.

This is great, but not enough.

Real-life situations rarely start with a dataset, and they never end after you finish building your model.

Applying machine learning successfully is hard.

Here are a few examples that you should keep in mind.

First challenge: Properly framing up the problem.

If you don't understand the problem, you can't determine what data you need. If you don't understand the data, you can't build a good model.

I've never seen a company that had their data ready to go.

In fact, most of them don't even have data at all and need you to determine what exactly they should start collecting.

You usually have to go Problem → Potential Solution → Data.

I learned enough AI/ML in 12 months to change my life forever.

You can do the same, and it all starts with a killer process to learn new things.

You can steal my approach. Every detail on the latest issue of my newsletter: https://t.co/9gaenLByFb.

Make it work for you.

A surprising situation.

A machine learning model predicting 3 classes ends up with these results:

• Class A: 90% accuracy
• Class B: 80% accuracy
• Class C: 70% accuracy

Class C seems to be the worst-performing.

But you know already that I'll say it isn't. ↓

Here is the correct answer: We don't know yet which class is the worst.

This is important to understand, so keep reading.

Many people make this same mistake every day and try to fix things that ain't broken.

We are missing something, so let's go and get it.

How about if we ask a friend to look at the dataset manually?

Let's say these are the results of our friend doing the job:

• Class A: 95% accuracy
• Class B: 100% accuracy
• Class C: 71% accuracy

Do you see what just happened?

The model is actually really accurate when predicting Class C! 70% versus 71% when done by a human.

Class B, however, is a disaster: 80% versus 100% when done manually.

Class B seems to be the worse performing class!

The work that our friend did is called a "baseline."

Without having it, it's hard to determine how good are the results of a model.

I've seen tons of money down a drain just because teams didn't create a baseline beforehand.

But now, that won't happen to you 😉.

[🔞 hopekook, rimming] happy vday if you celebrate it, last night i fell asleep thinking about a horny hopekook date where they set aside time to cuddle and watch something soothing and mindless. jk chooses a nature documentary, more for background ambiance than anything else.

they start out with hobi laying crosswise on the couch, and jk crawls between his legs, rests his head on hobi's sternum. he likes to cuddle like that because he can hear hobi's heartbeat. also hobi will usually skritch his scalp when they're in this position.

he's doing that now, running his fingers from jk's forehead to the nape of his neck, but then he scoops along jk's ear instead. fingertips smoothing along the shell curve and then gently tugging on his earlobe. he keeps doing it, repetitive. the apartment is warm.

and quiet, too, except for the doc in the bg and the soft sounds of their breathing. hobi's fingertips keep tugging easily, gently on his ear lobe and all of a sudden jk realizes he's getting hard. he doesn't pay it much mind, one or both of them often do when they cuddle, even

if it's just a cuddle session & not anything further. but then hobi moves his leg, feels it, laughs softly, & moves his leg again - this time, deliberately. jk smiles, rubbing his mouth against hobi's sweatshirt. he rolls his hips, real slow like, and feels hobi's dick, too.

In the passion economy, the real risk is that your job has to earn a living and meet the needs of your soul.

Six questions to consider if you’re thinking of leaving your job to pursue your passion.

A thread 👇🏽

1/ Will you use this opportunity to grow and evolve or will you use it to beat yourself up?  

The best way to control your emotional capital is to fine tune your internal monologue and replace your hunger for approval with a desire to grow.

2/ How will you avoid insecurity work? 

Insecurity work doesn't move the ball forward, but you can do it multiple times a day without realizing.

Deep work requires being unencumbered by the day to day.

Your objective is to ride the waves of your business with serenity.

3/ Can you learn to enjoy the process as the end in itself?

You have to fight the temptation to strip the future of its surprises.

4/ Will you default to the norms of your industry, or will you be original? 

Your business exists in the context of a marketplace, but also in the context of your life.

You have to be willing to overcome the defaults and orient your business around the things that define you.

10 Red flags to note in relationships .

A thread !

1. Secrecy - There is a difference between being private and being secretive . Anyone who doesn’t want people to know you are dating may have somethings they are hiding . It’s ok to be private but alarm bells should ring where there is secrecy .

2. Barter - The relationship is almost always about what is being exchanged . While there will be exchanges in every relationship, an undue focus on this will indicate that someone is there for something they can get and not what they can give .

3. Misaligned values - What is sacred to you isn’t respected by the other .values like honesty , integrity , respect isn’t important to the other party . A relationship with nonaligned values cannot work ! There will always be conflict .

4. Mystery income - Some folks are dating thieves , robbers and fraudsters and always have signs to indicate that their partners are fraudulent. It is a huge red flag not to know what your other half actually does for money . It’s not wise to join a sinking boat .

Welp, I have no sound on the phone line for this news conference, so I shall tune in via video. Kenney is speaking and there is a photo of the boreal region.

Lost video too! Before that cut out, Kenney said they are expanding the Kitaskino Nuwenëné Wildland Provincial Park.

Back on the phone line. Environment and Parks Minister Jason Nixon. Athabasca Oil surrendered 23,500 acres in that region. Cenovus surrendered more than 60,000 acres.

Chief Peter Powder, Mikisew Cree First Nation, says we need to protect the watershed, the caribou habitat. Expansion of the Kitaskino Nuwenëné Wildland Provincial Park in the Athabasca Delta will protect most vulnerable species, he says

Powder thanks the federal government for financial support for the parks and thanks the province for supporting the vision.