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Santiago
@svpino 3 years, 3 months ago 459 views

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Some of the things I've learned in more than 20 years in the tech industry.

You need to hear these.

🧵👇

Listen to more people who don't look like you, don't speak your language, and don't come from the same place you do.

We aren't doing this near enough.

Small habits compound.

No small improvement is too small.

Just aim for something new every day, and you'll be surprised at the end.

Take responsibility.

It doesn't really matter how you feel, I'm sure you could have done better.

Always keep the big picture in mind and never lose the forest for the trees.

Be the person that pulls everyone out of the rabbit holes.

Focus on the final goal, and don't worry too much about how you get there.

Great results will get you farther than processes, but good processes can help you achieve good results.

Be generous with your knowledge.

It's funny how everything you share finds a way to reward you back.

Who you are is more important than who you were.

We all make mistakes. Move on from them and focus on what's coming.

There are no stupid questions.

Ask away!

(There are, however, stupid people with fragile egos that get bothered when others ask. Ignore them.)

Change is the only thing you can always count on. (And death, and taxes, of course.)

Embrace change.

Better is not always best.

People fantasize about perfection, but perfectionism rarely wins.

Shipping more often will give you better odds than gilding the lily.

Learn to say no.

(I can't say this loud enough!)

Be gracious, professional, nice, but say it more.

Make a habit out of learning.

What you know today will be outdated tomorrow.

Make a plan to keep up and follow it... or you'll get behind.

Focus on one thing at a time.

Multi-tasking murders productivity.

(And turn your phone off!)

Job-hoping may be great for your bank account, but it does nothing to improve the impact you make in the world.

(And it looks horrible in your resume.)

Ideas are worth shit. Execution is worth everything.

Don't be the "idea person". Be the one that takes them and runs with them.

Good communication is a fundamental asset.

You can never invest too much in improving it.

(It doesn't matter how technically good you are if you can't properly communicate with others.)

More from Santiago

Santiago
@svpino

10 machine learning YouTube videos.

On libraries, algorithms, and tools.

(If you want to start with machine learning, having a comprehensive set of hands-on tutorials you can always refer to is fundamental.)

🧵👇

1⃣ Notebooks are a fantastic way to code, experiment, and communicate your results.

Take a look at @CoreyMSchafer's fantastic 30-minute tutorial on Jupyter Notebooks.

https://t.co/HqE9yt8TkB

2⃣ The Pandas library is the gold-standard to manipulate structured data.

Check out @joejamesusa's "Pandas Tutorial. Intro to DataFrames."

https://t.co/aOLh0dcGF5

3⃣ Data visualization is key for anyone practicing machine learning.

Check out @blondiebytes's "Learn Matplotlib in 6 minutes" tutorial.

https://t.co/QxjsODI1HB

4⃣ Another trendy data visualization library is Seaborn.

@NewThinkTank put together "Seaborn Tutorial 2020," which I highly recommend.

https://t.co/eAU5NBucbm

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

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Santiago
@svpino

12 machine learning YouTube videos.

On libraries, algorithms, tools, and theory.

↓

1. Jupyter Notebooks: https://t.co/HqE9yt8TkB

2. Pandas: https://t.co/aOLh0dcGF5

3. Matplotlib: https://t.co/tKADpmihkh

4. Seaborn: https://t.co/s8EUxh6x1f

5. Numpy: https://t.co/pJoc0Lfjwm

6. Decision Trees: https://t.co/tKtUpO1K3l

7. Neural Networks: https://t.co/bc7emyjc9q

8. Scikit-Learn: https://t.co/LrKG7cMxRq

9. TensorFlow: https://t.co/fhO6T9sblU

10. PyTorch: https://t.co/5w9mJxijdd

11. Essense of Linear Algebra: https://t.co/o3kOnxl90i

12. Essense of Calculus: https://t.co/rfo7v0cpR4

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

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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John Horton
@johnjhorton

What happens when a skill you have becomes obsolete? No, this isn't a R vs. Stata thread---it's a thread about a working paper w/ @sonnytambe!
https://t.co/w6nLf1tnST

The skill we look at is Adobe Flash, which @apple decided to no longer support back in 2010, which in turn caused demand/interest to plummet, as measured on @StackOverflow and in online labor markets, one of which is our empirical context

Despite the big fall-off in Flash jobs posted, very little else appeared to change in the market for Flash skills: wages for Flash jobs didn't fall, jobs didn't become easier to fill & openings weren't inundated with out-of-work Flash programmers

What happened was that (a) new entrants stopped specializing in Flash and (b) at least some existing Flash specialists started moving to other skills. In short, the demand shock quickly became a supply shock

At the level of the individual Flash worker, using a matched sample, we find (a) no fall-off in their wages, (b) some decline on-platform hours-worked. The most-focused on Flash workers had substantial increases in application intensity and a movement towards new skills

Corey Gwin
@corey_gwin

Great thread full of potential https://t.co/jA8h08M48z ideas! 💡

📸 Social disposable camera app

Create a digital "roll" with friends. Take pictures from the roll. You can't see them until: the roll is used up, a time limit expires, or you get to a specific location.

🎙 Asynch interview platform

Send a guest a video or audio clip asking a question. Guest replies when able with same medium. Repeat. When done, share produced video/podcast.

✅ 24 Hour Startup Checklist/Overlay

A web app to track the progress of your project: ideation, naming, shipping code, launching.

Page can also be a dynamic browser overlay for live streaming.

Have tools for polls, surveys, sharing, launching to various outlets, etc.

👩‍⚖️ Healthcare "Lawyers"

If health insurance screws you over, no one has your back but you. Instead, can pay a small monthly fee to a service to take care of BS like this for you should issues arise.

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Loren Brichter
@lorenb

So it turns out that Google Chrome was making everything on my computer slow *even when it wasn’t running*, because it installs something called Keystone which is basically malware.

I made a website because this shouldn’t

Wired first reported on how bad Keystone was 11 years ago when they put it into Google Earth (they seem to put it in all their popular

The fact that Keystone hides itself in Activity Monitor is bizarre. (The only sign of it was excessive CPU usage of WindowServer which is a system process).

I don’t know if Google was doing something nefarious with Keystone, or a third party figured out how to (which Wired warned about). But either way, I’m not inclined to give Google-the-organization the benefit of the doubt (despite the many good people who work on Chrome)...

...since it's been a decade+ and this still hasn't been "fixed".

There is no reason for auto-update software to need to do what Chrome/Keystone was doing. It also has a long history of crashing Macs.

Knarf
@Knarf93

@zkat__ I'm in the position that I actually find npm / yarn the best ecosystem. Whenever I use something else I always end up stubbing my toe into something thats missing / feels wrong.

Ex. Cargo seems to neither have a concept of devDependencies nor peerDependencies.

I also can't understand why it wouldn't have an "add" command to add a new dependency. And I'm no fan of Toml, json is greate (easy to parse and build tooling around), and the better option in my opinion would be json5.

C / C++ seems to just not have language package managers. The linux / bsd crowd seem to have decided that the system package manager also should be the language package manager. Which might have been fine if every Linux distro used the same system package manager.

Instead we end up with a N x M problem. Where we have a bunch of different operating systems and they all support multiple system package managers. So there's no easy way of distributing, referencing and updating C / C++ packages.

It is also my opinion that the compiler / runtime should be a package dependency. I don't like Rust's split between rustup and cargo (they should have been one tool). Similarly it would be better if you added Node as a dependency to package.json, that way we wouldn't need NVM.

Abadesi (she/her)
@Abadesi

🙋🏾‍♀️ In 2011, I was hired into my first junior role in tech @Groupon

👩🏾‍💻 By 2020, I was headhunted into a VP role in a global tech company @Brandwatch

🤖 I achieved this progression in less than a decade, without ANY coding skills

🔮 How did I do it?

*a thread*

🤓 I established a track record of results.

💪🏾 No magic formula can replace hard work: do your job well & hit all the targets you are set.

😬 When you're struggling, ask for help so you can stay on track to get results, or collaboratively adjust targets.

🎨 I stayed creative.

🧙🏿‍♀️ When challenges arose I was bold enough to try new solutions. Not everything worked, but constantly trying produced valuable innovations.

🧠 I was proactive in finding new, better ways to get the job done.

🤩 I was a self-promoter. I recorded my achievements & ensured they were mentioned in any performance / compensation reviews.

😎 I put myself forward for any opportunities to gain recognition e.g. speaking opportunities or awards.

👀I actively worked on gaining visibility.

🙂 I was myself. Some say you need to be ruthless to succeed. I don't buy it. I'm a nice person so I'm nice at work, too.

❤️ I didn't fake it. I always acted on my values, and spoke up when something didn't feel right. I showed integrity.

🤗 I was a team player. To everyone.

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Rhino Barges

One of the dullest, coolest, more bizarre and fascinating pieces of kit used in Normandy.

Which NO ONE REALLY CARES ABOUT.

BUT I DO AND YOU SHOULD TOO.
/1

#WW2 #SWW #History

Planning for Overlord and Neptune had a serious snag, how to get troops from LSTs onto the beach as simply ramming them onto the beaches and dropping the ramp was known to damage the exceptionally vulnerable LSTs and felt to be unsustainable in the mid to long term. /2

LSTs were essential in sustaining Overlord's progress and were a subject of major headaches in the planning phase, and a real subject of friction when it came to launching additional amphibious operations such as Dragoon.

A single LSTs loss represented a capability nick. /3

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I fucking love Rhinos.

Seriously.

Graceful lines of pure industrial pedigree.

Modular.

LOOK AT IT. /5

Nikita Poojary
@niki_poojary

Time for a Thread🧵On yesterday’s “F&O Pe Charcha - Diary Of An Option Seller” with @Mitesh_Engr by @Paytm Money

Why Gain/loss ratio is important that the batting average
• More than the Win Loss ratio check the total Gain /loss ratio
• If your avg loss is 1% and avg gain is +5% then even if you are losing in 7 positions and winning in 3 out of 10 still you will be net profitable

Treat Trading as a business:
• Stick to a single strategy. Eg: A restaurateur usually wouldn’t be changing his recipe on a daily basis
• Mitesh Sir only works on BO or BD strategy, as he is a versatile trader

• Any trader should atleast experience 3 scenarios i.e. bull, bear & consolidation
• Target 4% per month i.e. 48% p.a.
• Option buying requires skill, everyday there wont be huge momentum, so buying options won’t yield good results, but high chances of falling into a bad habit

Stock Selection:
• In F&O segment there are ~150 stocks
• Not everyday all stocks will move
• Only 5-7 stocks move upside or downside
• Focus only these momentum stocks
• Check which one is moving
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Vibhu Vashisth
@VIBHU_Tweet

🌺श्री गरुड़ पुराण - संक्षिप्त वर्णन🌺

हिन्दु धर्म के 18 पुराणों में से एक गरुड़ पुराण का हिन्दु धर्म में बड़ा महत्व है। गरुड़ पुराण में मृत्यु के बाद सद्गती की व्याख्या मिलती है। इस पुराण के अधिष्ठातृ देव भगवान विष्णु हैं, इसलिए ये वैष्णव पुराण है।

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..ताकि उस समय हम जीवन-मरण से जुड़े सभी सत्य जान सकें और मृत्यु के कारण बिछडने वाले सदस्य का दुख कम हो सके।
गरुड़ पुराण में विष्णु की भक्ति व अवतारों का विस्तार से उसी प्रकार वर्णन मिलता है जिस प्रकार भगवत पुराण में।आरम्भ में मनु से सृष्टि की उत्पत्ति,ध्रुव चरित्र की कथा मिलती है।

तदुपरांत सुर्य व चंद्र ग्रहों के मंत्र, शिव-पार्वती मंत्र,इन्द्र सम्बंधित मंत्र,सरस्वती मंत्र और नौ शक्तियों के बारे में विस्तार से बताया गया है।
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Christina Warren
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A brief thread on Jovan Hutton Pulitzer, the crazy con man who is now claiming to have hacked into the Georgia voting machines in Fulton County. 90s kids and tech aficionados might remember Jovan as the inventor of the CueCat, the dumbest gadget of all time.

Also, for anyone who wants to claim that Jovan Hutton Pulitzer (not his given name, but one he changed legally after the CueCat debacle) invented QR Codes: he did not. Like that other right-wing crazy man who claimed to have invented email, Jovan didn’t invent QR Codes.

He did invent the CueCat, a product that somehow raised $185 million dollars for a tethered barcode scanner for magazines and newspapers, so you could get ads from your ads. As I said, the dumbest product of all time. Good backup barcode scanners after they were hacked, however

Oh, that’s another thing. When CueCat was a thing, its systems were hacked. I guess that’s what makes Jovan a security expert. His bankrupt company from 20 years ago was hacked and widely mocked. He’s a genius.

In recent years, Jovan pivoted to being a treasure hunter who was featured on and widely mocked on Curse of Oak Island, because the man is insane.

Thinking Patriot
@ThinkinPatriot

1⃣
At the moment #POTUS is sitting on a stack of #Trump cards, he's just waiting to unleash a royal flush!
He has court cases that will go to #SCOTUS and thanks to the Texas case, he's now aware how to file them properly under article 3 not 2, so SCOTUS will be forced to listen.

2⃣
#Trump now has the #DNI report. #Barr stepped down and can now be a witness, he did his job. #Durham is special counsel and can prosecute, in any state.
He’s letting civil, criminal and federal courts fail to handle the situation properly so he can use military tribunals.

3⃣
#Trump has ALL the data from the #NSA, the #Kraken supercomputer, the #Alice #supercomputer, and likely many more computers, unknown to us.
He has the dueling electors from 7 state legislatures. He has VP #Pence, as the final arbiter of which ballots to accept.

4⃣
#Trump has the #InsurrectionAct, the #NDAA, the national emergency, the 14th amendment, the 2018 executive order, the 2017 very first EO, the #Patriot Act, the #FISA warrants, the Declassification of everything, people swearing affidavits by the 1000s.

5⃣
#Trump has all the statistical data being analyzed along with the videos, emails, phone calls and bank transfer statements showing the coordination of the #coup d'etat.
He has #RICO and he has the #CrimesAgainstHumanity videos. #Wikileaks just dropped extensive information