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Santiago
@svpino 5 years, 4 months ago 905 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

11 key concepts of Machine Learning.

— Supervised Learning Edition —

🧵👇

😜

Before starting, remember that, if you follow me, one of your enemies will be immediately destroyed (and you'll get to read more of these threads, of course.)

And if you don't follow me, well, you just hurt my feelings.

😜

1. Labels

(Also referred to as "y")

The label is the piece of information that we are predicting.

For example:

- the animal that's shown in a picture
- the price of a house
- whether a message is spam or not

👇

2. Features

(Also referred to as "x")

These are the input variables to our problem. We use these features to predict the "label."

For example:

- pixels of a picture
- number of bedrooms of a house
- square footage of a house

👇

3. Samples

(This is also known as "examples.")

A sample is a particular instance of data (features or "x.") It could be "labeled" or "unlabeled."

👇

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

Free machine learning education.

Many top universities are making their Machine Learning and Deep Learning programs publicly available. All of this information is now online and free for everyone!

Here are 6 of these programs. Pick one and get started!

↓

Introduction to Deep Learning
MIT Course 6.S191
Alexander Amini and Ava Soleimany

Introductory course on deep learning methods and practical experience using TensorFlow. Covers applications to computer vision, natural language processing, and more.

https://t.co/Uxx97WPCfR

Deep Learning
NYU DS-GA 1008
Yann LeCun and Alfredo Canziani

This course covers the latest techniques in deep learning and representation learning with applications to computer vision, natural language understanding, and speech recognition.

https://t.co/cKzpDOBVl1

Designing, Visualizing, and Understanding Deep Neural Networks
UC Berkeley CS L182
John Canny

A theoretical course focusing on design principles and best practices to design deep neural networks.

https://t.co/1TFUAIrAKb

Applied Machine Learning
Cornell Tech CS 5787
Volodymyr Kuleshov

A machine learning introductory course that starts from the very basics, covering all of the most important machine learning algorithms and how to apply them in practice.

https://t.co/hD5no8Pdfa

Santiago
@svpino

One of the most popular activation functions used in deep learning models is ReLU.

I asked: "Is ReLU continuous and differentiable?"

Surprisingly, a lot of people were confused about this.

Let's break this down step by step: ↓

Let's start by defining ReLU:

f(x) = max(0, x)

In English: if x <= 0, the function will return 0. Otherwise, the function will return x.

If you draw this function, you'll get the attached chart.

Notice there are no discontinuities in the function.

This should be enough to answer half of the original question: the ReLU function is continuous.

Let's now think about the differentiable part.

A necessary condition for a function to be differentiable: it must be continuous.

ReLU is continuous. That's good, but not enough.

Its derivative should also exist for every individual point.

Here is where things get interesting.

We can compute the derivative of a function using the attached formula.

(I'm not going to explain where this is coming from; you can trust me on this one.)

We can use this formula to see whether ReLU is differentiable.

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

More from Life

$ArmaniTalks \U0001f399\U0001f525$

ArmaniTalks 🎙🔥...
@ArmaniTalks

Too much intellect without a sense of self can inflate your ego.

This is why a lot of high IQ people lack social intelligence.

They talk to humans like robots & are baffled when they are resented for it.

This is why the charismatic person who knows less often rises up quicker

'What you smoking bro?? My IQ will be the biggest factor of my success!'

Incorrect.

That's a limiting belief.

I'm gonna shake up your paradigm real quick 👇

You have been conditioned your entire life to believe that IQ score alone will dictate success.

And like most people, we were like 'yea, sure!'

But there's few incorrect thought patterns here

1. Success is subjective.

2. IQ exam insinuates intellect is fixed.

3. Your high IQ won't make others give a fuck, your communication will.

Let's go thru each one

1. Success is subjective

What I consider success may not be success for you.

Success it's a mirror image of where you are & where you want to be.

Aka sense of self.

So measuring success starts from looking within, not an exam.

Kab
@Kabamur_Taygeta

#NEIOH

1. Friends Of The Great Planet Earth!

Everything You Seek Is Already Within You! Each Waking Dream Has False Teachings That Say There Is A Special Place 'Out There' In The Skies Where People Go That Follow A Certain Doctrine.

2. And Those Same Teachers Explain There Is A Place Of Torment For Others That Arrived On A Different Part Of The Planet And Were Taught A Different Doctrine.

There Is ONE Creator That Has Been Named By Many. It Would Be Loving To Honor And Respect Another's Beliefs,

3. As In Truth, Many Have Lived In Multiple Cultures With Many Beliefs That Now Are Judged! Incarnating Over And Over Is The Joy Of The Soul Experiencing Life! The Soul Fully Understands This Is A Human Experience.

4. Wouldn't It Be Much More Relaxing And Fun To Allow Others Their Freedom, Just As You Want Yours? Yes Indeed! Relax And Flow!

Since The Very Beginning Of Your Self-Awareness As An Incarnate Being, You Have Probed Your World For Clues To The Meaning Of Your Existence.

5. You Have Looked In Every Conceivable Crevice And Pondered The Vastness Of The Infinite Cosmos. You Have Scrutinized The Spiritual Wisdom That Was Forthcoming From Those Who Believed Themselves To Be Knowledgeable About Such Matters.

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E-go Driven
@EgoDriv

Instead of today's thread, let's have some fun

1 RT = 1 Life Lesson

First one is on the house.

-Thread-

Those you trust the most are those in the best position for betrayal.

Active listening is a false God.

Most people will waste your mental space.

If you want to say "no", dont use any other word.

Seeking approval is the first step to auto destruction

Julie Zhuo
@joulee

A frequent question I get when talking with senior designers: Will my growth as a designer stall if I start managing?

There is often a second question underneath that, which is:
Will I no longer be respected as a design leader if I can't keep up as a designer?

Thread below👇

My short answer to "Will my growth as a designer stall if I manage?" is yes, absolutely, if "designer" is someone who produces design work.

Managing a 5-8 ppl team does not leave you time to design. When you don't practice a craft, you should not expect to get better at it.

However... (and this is a BIG however)...

What you *can* continue to grow (as both a design manager and a designer) is the following:

1) Your design eye
2) Your design voice

A strong design eye means that others trust you to know what is good.

It means your taste is well-honed through extensive study of an area.

It means your sense for usability, simplicity and aesthetics is well-developed even at subtle or fine granularities.

Very early in my design career, my manager asked me to review some design portfolios. I sat there, petrified, clicking through dozens of links. I could tell which ones were really bad, but many of the portfolios seemed good! I could not really distinguish between them on quality!

Dragon Inve$tor.
@Dragon_Investor

These 10 Truths Will Jog Your Mind.

It's been 24 months of learning, to be honest, I never knew this side of Twitter, until October,

A friend told me about it, gave me every encouragement I needed.

It has been an amazing journey to 100, Thank you.

1. Choices- what you and work towards always works. If you work so hard in a company, you get motivated. Same case to life, what you choose to work towards consistently, no matter how stupid it is WILL ALWAYS work.

2. You must be pushed hard to the wall to save yourself- the only reason why you are afraid of going an extra mile is because your condition isn't pathetic enough. If it's pathetic enough, you'll find ways to save yourself.

3. Nothing is really special- Go a few days without talking to some people. You'll see how they easily forget, you'll also forget. Aim at doing what matters. Don't attach your happiness to anyone or anything.

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The Troll Zoo
@TrollZoo

1. This is "Hollie The Card".

She's a Doctor, Physician, PhD, MA, Clinical Psychologist, Hospital Consultant, PTSD consultant, Long Covid Consultant.

(Thread)

2. Although sometimes she’s also an AUTHOR and English Academic.

3. A Hospital Consultant and ex Gymnast.

(Pinterest public profile)

4. A Physician, Doctor, or hospital consultant.

A “Hospital Consultant”, would probably mean a senior doctor, in the UK at least.

5. Hollie changes her Twitter picture and bio so often, it’s hard to keep up with her qualifications.

Hindu Media Wiki
@HinduMediaWiki

Speech Delay is most common in children nowadays

In ancient times, our grandparents used to follow typical natural way of caring the needs of a child. All they used were more of natural products than chemical based for the growth of child.

One of major step followed was to feed Gurbach Jadd/ Vasa Kommu/ Acorus Calamus for initiating good speech ability in a child. This stem was needed to babies on Tuesdays and Sundays in mother's milk.

Vasa is feed to baby after the 1st bath on 12th day in week. Weekly only thrice it is fed and named as :

Budhwar - Budhi Vasa
Mangalwar - Vaak Vasa
Ravi Vaar - Aayush Vasa

This stem is burnt and rubbed against the grinding stone in mother's milk or warm water to get a paste

The procedure to make it is in the link

https://t.co/uo4sGp7mUm

It should not be given daily to the child. Other main benefits are

1. It clears the phlegm in child's throat caused due to continuous milk intake. It clears the tracts and breathing is effortless.
2. Digestion

For children who haven't got their speech and is delayed than usual should feed this vasa on these days in week atleast for 6months. Don't get carried away with this dialogue
"Some gain speech little late"

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Dr. Jane Clare Jones
@janeclarejones

So, on the subject of bonkers hyperbolic pretzeling over the Bell judgement, Grace 'destroy books I don't like & make inappropriate jokes about sterilising teenage girls' Lavery has some thoughts.

Tell me why my feminism is wrong Grace.

Oh

Well, if anyone thought the Bell judgment was going to make TRAs reconsider making massively overblown claims with no evidence backed up with nothing but a thick wadge of emotional blackmail.... HAHAHA, no one thought that.

A high court in the UK made a delimited judgment about teenager's ability to consent to puberty blockers. This puts all trans people everywhere in the world at risk.

Because if any human anywhere has any thoughts that deviate in any way from the rote line dictated by

the trans rights movement, this puts all trans people everywhere in mortal danger.

Let's be honest Grace. It doesn't put trans people at risk. It puts trans ideology at risk. Because trans ideology depends on the idea of innate gender identity, and the trans child is the

necessary material evidence of the ontology of gender identity.

That is, children are being medicalised to provide evidence to underwrite adults identities.

Nothing to see here.

Noah Smith
@Noahpinion

1/People I know on the Right tend to be obsessed with the idea of "crimethink", taboos, and the (supposedly) oppressive, omnipresent enforcement of liberal cultural norms.

Why?

My new theory: A lot of it is guilt.

2/It's true that in some circles - the media, universities, many big corporations - liberal norms *are* enforced to some degree, and the enforcement has probably gotten stronger in recent years.

But I don't think this explains all of the Right's obsession.

3/The stereotype is that people on the Right tend to be more threat-sensitive. That would help explain the perception that liberal norm-enforcers are lurking everywhere, ready to pounce and anathematize anyone who makes a misstep.

But I don't think that's all of it either.

4/And of course, it's always fun - whether you're on the Right or the Left, or playing a video game, or whatever - to style yourself as the brave iconoclastic rebel fighting against the oppressive forces of blah blah blah.

But I don't think this is all of it, either.

5/The reason I think it's more than these things is that even *in private*, people on the Right express their "crimethink" ideas very gingerly and hesitantly.

I get the sense that they're not just afraid of external censure, but have also internalized liberal norms.

$\U0001d40d\U0001d41e\U0001d421\U0001d41a \U0001f1ee\U0001f1f3$

𝐍𝐞𝐡𝐚 🇮🇳...
@Neh_hope_faith

THREAD: What is Golden Crescent and Golden Triangle and how it impacts India?

Golden Crescent region of South Asia - comprises of Afghanistan, Iran, and Pakistan - which is a principal global site for opium production and distribution.

Golden Triangle is the area where the borders of Thailand, Laos and Myanmar meet at the confluence of the Ruak and Mekong rivers. The Golden Triangle is called so because of the triangular shape formed by the locations of New Delhi, Agra and Rajasthan on a map.

India is wedged bw world’s 2 largest areas of illicit opium production, Golden Crescent & Golden Triangle, that has made Indian borders vulnerable to drug trafficking. It flows from 2 fronts, NW & NE, that possesses dual concern - violation of border & threat to national security

- Golden Crescent is world’s leading opium and cannabis producing region since 1983.

- Its proximity to Indo-Pak border has worsened the trafficking of hashish and heroin into Indian soil

- Trafficking happens through the border states of J&K, Punjab, Rajasthan and Gujarat.

- Golden Triangle is leading opium producing region of the South-east Asia, also an ancient narcotics supply route to North America & Europe.

- Myanmar-Northeast nexus is recognized by NCB as the root of heroin & chemical drugs

- Myanmar produces 80% of heroin produced in world