BC LIFE

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Santiago
@svpino 5 years, 4 months ago 917 views

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Interviews aren't only about technical skills.

Here are some questions to help you prepare.

🧵👇

Explain what you have been working on for the past few weeks.

What are the most exciting parts about that work?

What portion of it do you consider boring and why?

[2 / 10]

What specific libraries and frameworks are you familiar with?

What's the minimum set of libraries and frameworks that you'd recommend to any practitioner?

[3 / 10]

What kind of problems have you worked on in the past?

Can you list the specific use cases related to each one of these?

[4 / 10]

What is the most exciting project you have ever worked on?

What was your role and responsibilities on that project?

Why do you think your work on that project was important?

[5 / 10]

What are some of the common issues that you have faced before while working on a project?

How have you approached these problems?

[6 / 10]

How would you organize a team to create and deliver end-to-end applications?

What specific roles would you include in that team?

How would be the interaction among team members?

[7 / 10]

What are some of the specific areas where you'd like to do more research to improve your knowledge and skills?

How do you keep your skills fresh nowadays?

[8 / 10]

When dealing with non-technical stakeholders, what tries your patience?

How do you deal with these situations?

[9 / 10]

If we imagine one year in the future, and we are high-fiving because you succeeded in this position, can you list what went well?

How about if you failed? What went wrong?

[10 / 10]

Hope this helps.

If you want more content on software engineering, machine learning, and adjacent topics, give me a follow. I post threads like this every week.

You can enjoy more of this content here: @svpino.

More from Santiago

Santiago
@svpino

My recommendations to start with machine learning math:

• Statistics 110: Probability — Harvard University
• Essence of Linear Algebra — 3Blue1Brown
• Multivariate Calculus — Coursera

Links and 3 additional free resources here: https://t.co/fEmpmRKEvJ

If you are looking for more machine learning content, give me a follow and I’ll keep your feed interesting 😉.

Santiago
@svpino

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.

↓

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.

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Santiago
@svpino

Beginners guide to start with machine learning.

What you need:

1. A programming language
2. A place to write and run code
3. A way to deal with data
4. A way to visualize results
5. A cool algorithm
6. An introductory course
7. A project to solve

Here are my recommendations.

Most people recommend Python to start.

I do too.

You can do machine learning with many different languages, but today, Python is the best option.

My advice: Get comfortable writing code before looking into machine learning.

You don't have to be a great developer to start.

But if you are, it helps.

Everything you know about building software is helpful to build machine learning systems.

Good developers have the odds in their favor.

"How much Python do I need to know before starting?"

If you ask, you aren't ready yet.

Ideal scenario: You should be comfortable building software. Most people get here within a year.

Let's move on to the 2nd item from the list: A place to write and run your code.

Get familiar with Google Colab.

• It's free.
• Requires no setup to start.
• It's available from anywhere.

Alternative: Kaggle.

Santiago
@svpino

Here is a simple example of a machine learning model.

I put it together a long time ago, and it was very helpful! I sliced it apart a thousand times until things started to make sense.

It's TensorFlow and Keras.

If you are starting out, this may be a good puzzle to solve.

The goal of this model is to learn to multiply one-digit

It is a good example of coding, what is the model?
— Freddy Rojas Cama (@freddyrojascama) February 1, 2021

$Santiago \U0001f1fa\U0001f1f8\U0001f1fa\U0001f1e6$

Santiago 🇺🇸🇺🇦...
@svpino

You are building a binary classification model to determine whether a picture shows a hot dog or not.

Which of the following activation functions is a good candidate for the output layer?

1. Rectifier Linear Unit (ReLU)
2. Leaky ReLU
3. Sigmoid
4. Softmax

Think about it.

The answer:

You could use either Sigmoid or Softmax.

I'm sure most of you picked Sigmoid. It's certainly the best way to approach this problem.

But Softmax is also an option —although unconventional for a binary classifier.

How about the other choices?

ReLU returns its input if positive, zero otherwise. Leaky ReLU is based on ReLU but with a slight slope for negative values.

ReLU and Leaky ReLU will always give us the previous layer output with no modifications if the input is always positive.

This doesn't help us.

Sigmoid has the ability to squash its input into a range that goes from 0 to 1.

This is good because we can now set a specific threshold for the output of a binary classifier.

Here is an example.

Any image with an output equal to or under 0.5 doesn't show a hot dog. Any image with an output above 0.5 shows a hot dog.

Sigmoid makes it very easy.

How about Softmax?

More from Life

Erik Torenberg
@eriktorenberg

1/ Here’s a list of conversational frameworks I’ve picked up that have been helpful.

Please add your own.

2/ The Magic Question: "What would need to be true for you

1/\u201cWhat would need to be true for you to\u2026.X\u201d

Why is this the most powerful question you can ask when attempting to reach an agreement with another human being or organization?

A thread, co-written by @deanmbrody: https://t.co/Yo6jHbSit9
— Erik Torenberg (@eriktorenberg) December 4, 2018

3/ On evaluating where someone’s head is at regarding a topic they are being wishy-washy about or delaying.

“Gun to the head—what would you decide now?”

“Fast forward 6 months after your sabbatical--how would you decide: what criteria is most important to you?”

4/ Other Q’s re: decisions:

“Putting aside a list of pros/cons, what’s the *one* reason you’re doing this?” “Why is that the most important reason?”

“What’s end-game here?”

“What does success look like in a world where you pick that path?”

5/ When listening, after empathizing, and wanting to help them make their own decisions without imposing your world view:

“What would the best version of yourself do”?

$ArmaniTalks \U0001f399\U0001f525$

ArmaniTalks 🎙🔥...
@ArmaniTalks

A relationship begins to get stiff when excessive patterns begin to form.

Too many patterns leads to a boring, predictable, logical lifestyle.

Get the emotions involved.

Do something spontaneous out of the blue moon & flip the script.

'What's wrong with the patterns?'

Nothing is wrong with patterns.

However, there is a problem when all you have are patterns.

It's boring.

'Can you explain why?'

Sure 👇

The thing with relationships is that it's meant to be an emotional experience.

It's very difficult to logically explain love, right?

'Right.'

Well this is where you want to steer the ship the right way.

1. Too emotional is bad.

2. Too logical is bad.

Let me break it down.

1. Too emotional

If a relationship is completely ruled by emotions, then it's too volatile.

You will never reach productivity if you are aimlessly only following each others emotions.

This lifestyle tarnishes any structure for the couple.

'So why do people do it?'

Because it's fun.

You may ruled by this stage in the honeymoon phase.

Normal.

You'll be so spontaneous that it almost becomes a lifestyle.

But it's hard to level up your life when you're too spontaneous.

Avoid.

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Mo Rajabifard
@morajabi

👨‍💻 Last resume I sent to a startup one year ago, sharing with you to get ideas:

- Forget what you don't have, make your strength bold
- Pick one work experience and explain what you did in detail w/ bullet points
- Write it towards the role you apply
- Give social proof

/thread

"But I got no work experience..."

Make a open source lib, make a small side project for yourself, do freelance work, ask friends to work with them, no friends? Find friends on Github, and Twitter.

Bonus points:

- Show you care about the company: I used the company's brand font and gradient for in the resume for my name and "Thank You" note.
- Don't list 15 things and libraries you worked with, pick the most related ones to the role you're applying.
-🙅‍♂️"copy cover letter"

"I got no firends, no work"

One practical way is to reach out to conferences and offer to make their website for free. But make sure to do it good. You'll get:

- a project for portfolio
- new friends
- work experience
- learnt new stuff
- new thing for Twitter bio

If you don't even have the skills yet, why not try your chance for @LambdaSchool? No? @freeCodeCamp. Still not? Pick something from here and learn https://t.co/7NPS1zbLTi
You'll feel very overwhelmed, no escape, just acknowledge it and keep pushing.

Wealthy Brains
@Wealthy_Brains

How to Network: Must read for shy people

~ Thread ~

1. Start with Whom You Know

Start slow by networking with relatives and friends.

Once you gain some courage, you can expand to strangers too.

2. Put on a Happy Face

SMILE

This is such a basic rule yet people just don't think about it.

3. Listen to be Heard

Everyone wants to talk about themselves.

If you are shy, be a good listener.

If you let them speak, they will remember it as a great conversation

4. Say their Name

People like to hear their own names.

Calling them by their name would make them more comfortable.

$\U0001d413\U0001d421\U0001d41e \U0001d400\U0001d42b\U0001d42d \U0001d428\U0001d41f \U0001d40f\U0001d42e\U0001d42b\U0001d429\U0001d428\U0001d42c\U0001d41e \U0001f1fa\U0001f1f8$

𝐓𝐡𝐞 𝐀𝐫𝐭 𝐨𝐟 𝐏𝐮𝐫𝐩𝐨𝐬𝐞 🇺🇸...
@creation247

The 25 Worst Pieces of Advice I've Seen

(and why)

// THREAD

1. “Follow your passion.”

NO - stop wasting your time. Make money.

Then you use your wealth to pursue your passion.

Build the foundation first.

2. “Choose career over family.”

I see so many slaving at their job and it’s usually a dead-end job. They pay little attention to their children. It’s sad.

If you have to choose one always choose family.

Rich people choose both.

3. “Just walk away.”

If someone damages your reputation you need to defend it. Fight hard. Your name is your honor.

4. “Never trust anyone.”

Jaded people think like this.

Yes, humans make decisions in their best interests.

That our nature. Deal with it.

"Never trust anyone" is a reflection of personal darkness.

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Meet Shah
@ms89_meet

Strong Monopolies:

IRCTC 100% Market share in Rail Network.

IEX >90% market share in power trading.

Zydus wellness >90% market share in sugar free product.

Eicher motors >85% market share in 250cc bikes category.

MCX >85% market share in commodity trading.

Coal India >80% market share in coal production in India.

ITC >75% market share in cigarettes.

Honda Siel >75% in portable power generators.

Hindustan Zinc >75% market share in primary zinc industry.

Asahi India Glass >70% market share in automotive glass.

NRB Bearings >70% market share in needle roller bearings.

Pidilite >65% market share in adhesives.

CAMS >65% market share in RTA within mutual fund industry.

Time Technoplast >65% market share in polymer based industrial packaging.

Concor >65% market share in domestic container cargo transport.

Exide >60% market share in lead batteries.

Naukri >60% market share in the Indian job market space.

Praj >60% market share in ethanol plant installing.

Indiamart Intermesh >55% market share in the online B2B Classified space.

Borosil Renewables >55% market share in Lab glass.

Vst Tillers >50% market share in
Power tillers.

Delta corp >50% in online poker games.

Vinati Organics >50% market share in IBB.

$Kitze @ \U0001f1e9\U0001f1ea\ufe0f$

Kitze @ 🇩🇪️...
@thekitze

To people who are under the impression that you can get rich quickly by working on an app, here are the stats for https://t.co/az8F12pf02

📈 ~12000 vistis
☑️ 109 transactions
💰 353€ profit (285 after tax)

I have spent 1.5 months on this app. You can make more $ in 2 days.

🤷‍♂️

I'm still happy that I launched a paid app bcs it involved extra work:

- backend for processing payments (+ permissions, webhooks, etc)
- integration with payment processor
- UI for license activation in Electron
- machine activation limit
- autoupdates
- mailgun emails

etc.

These things seemed super scary at first. I always thought it was way too much work and something would break. But I'm glad I persisted. So far the only problem I have is that mailgun is not delivering the license keys to certain domains like https://t.co/6Bqn0FUYXo etc. 👌

omg I just realized that me . com is an Apple domain, of course something wouldn't work with these dicks

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David Rothkopf
@djrothkopf

If there is one thing I have learned it is that people love bullshit. They buy bullshit stories from professional bullshit artists, accept bullshit philosophies, purchase bullshit how-to-books, vote for bullshitting politicians.

At first, I resisted believing this because it is illogical and dumb and frankly, doesn't reflect well on the human race of which I am a member (and thus have long been hopeful that it is more of a distinction than it actually turns out to be.)

But if you actually are interested in facts you begin to notice how little most people care for them. Sometimes it is because they are heard to learn and bullshit is so much more widely and easily available. Sometimes it is because facts make them uncomfortable about themselves.

Sometimes it is because just one tiny fact will upset a whole worldview that has grown as comfortable as an overstuffed chair. (Settling into such worldviews is a lot like settling into chairs like that because the longer you're there and the deeper you sink...

...the harder it is to hoist yourself up and out of your fat-assed intellectual laziness.) But I actually think the reason people have such an appetite for bullshit goes deeper, goes to an aspect of ourselves we just can't accept.

meilong
@meilong15

一个北大毕业的殡葬工自述武汉封城期间的经历，凄惨。这应该才是武汉的真实情景，跟很多人的叙述是吻合的。

https://t.co/QYTO1SYedG

Pat Walls
@thepatwalls

And here they are...

THE WINNERS OF THE 24 HOUR STARTUP CHALLENGE

Remember, this money is just fun. If you launched a product (or even attempted a launch) - you did something worth MUCH more than $1,000.

#24hrstartup

The winners 👇

#10

Lattes For Change - Skip a latte and save a life.

https://t.co/M75RAirZzs

@frantzfries built a platform where you can see how skipping your morning latte could do for the world.

A great product for a great cause.

Congrats Chris on winning $250!

#9

Instaland - Create amazing landing pages for your followers.

https://t.co/5KkveJTAsy

A team project! @bpmct and @BaileyPumfleet built a tool for social media influencers to create simple "swipe up" landing pages for followers.

Really impressive for 24 hours. Congrats!

#8

SayHenlo - Chat without distractions

https://t.co/og0B7gmkW6

Built by @DaltonEdwards, it's a platform for combatting conversation overload. This product was also coded exclusively from an iPad 😲

Dalton is a beast. I'm so excited he placed in the top 10.

#7

CoderStory - Learn to code from developers across the globe!

https://t.co/86Ay6nF4AY

Built by @jesswallaceuk, the project is focused on highlighting the experience of developers and people learning to code.

I wish this existed when I learned to code! Congrats on $250!!