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Santiago
@svpino 5 years, 5 months ago 1159 views

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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 numbers.

https://t.co/w8LiMVENT0

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

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

I sat next to one of the smartest, most successful software engineers in the country for over 10 years.

Here's what I learned.

Fast is 10 times better than good.

9 out of 10 times, a "good enough" solution is all you need to unlock time, money, and attention.

Focus relentlessly on being first. Then take the time to be right.

Fast, then right.

Ship more frequently.

The faster you show your work to your users, the faster you'll hear their feedback, you'll adapt, and you'll ship again.

A question you should ask every day:

What can I do to ship this one day before planned?

Technical debt is a good thing.

Everyone hates technical debt. I think they don't know how to take advantage of it.

When used appropriately, technical debt means working on what truly matters and deferring anything that can wait.

No debt ⟶ You waited too long.

Ask, don't think.

People burn their time every day instead of asking for help.

You don't get extra points for working harder, especially when a little help will make you faster.

Time is your most valuable resource. Don't waste it.

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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.

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

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.

More from Tech

Shaun Russell
@_ShaunRussell

"I really want to break into Product Management"

make products.

"If only someone would tell me how I can get a startup to notice me."

Make Products.

"I guess it's impossible and I'll never break into the industry."

MAKE PRODUCTS.

Courtesy of @edbrisson's wonderful thread on breaking into comics – https://t.co/TgNblNSCBj – here is why the same applies to Product Management, too.

"I really want to break into comics"

make comics.

"If only someone would tell me how I can get an editor to notice me."

Make Comics.

"I guess it's impossible and I'll never break into the industry."

MAKE COMICS.
— Ed Brisson (@edbrisson) December 4, 2018

There is no better way of learning the craft of product, or proving your potential to employers, than just doing it.

You do not need anybody's permission. We don't have diplomas, nor doctorates. We can barely agree on a single standard of what a Product Manager is supposed to do.

But – there is at least one blindingly obvious industry consensus – a Product Manager makes Products.

And they don't need to be kept at the exact right temperature, given endless resource, or carefully protected in order to do this.

They find their own way.

Yoel Roth
@yoyoel

We’ve recently seen research about so-called “bots” and misinformation on Twitter and wanted to share our perspective on why findings that might seem remarkable at first are likely inaccurate. We’re working on a more detailed explanation, but some comments for now.

We continue to be excited by the research opportunities that Twitter data provides. Our service is the largest source of real-time social media data, and we make this data available to the public for free through our public API. No other major service does this.

Many researchers, academics, and journalists use our public API — a set of tools for programmatically accessing information on Twitter. We make all public Twitter content available via our APIs. You can learn more about them here:

The basic issue with much of the research based on our public APIs is simple: The APIs don't provide insight into our defensive actions to protect Twitter from manipulation, including bots.

Because of this, API-based research can't distinguish between accounts we've already identified as bad (and hidden or removed) and real, authentic ones.

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Daniel Johnson
@DJohnson_CPA

Here’s a SPAC thread covering some basics for new followers. I will pin this to my profile if you want to share to anyone interested in SPACs.

SPAC timelines consist of these stages:
IPO – SPAC raises cash and begins trading as a unit. The cash is placed in Trust.
Searching phase – After IPO, the SPAC management team looks for a company to merge with. This is typically 24 months but can be shorter depending on the SPAC

LOI/Rumor – A letter of intent is announced publicly or Bloomberg/Reuters etc. breaks news of a rumor that a SPAC is close to a deal with a target.

The LOI/rumor stage does not always happen, most go straight to a definitive agreement. Rumors should only be considered to have value if from a trusted news source, internet rumblings are pure speculation. During this stage, a deal can still fall apart and not be signed.

Definitive agreement (DA) – deal officially inked. The SPAC begins filing paperwork with the SEC to have the merger approved to take the target company public. This process typically takes 4+ months after the DA is announced.

El Sandifer, Rationali...
@ElSandifer

I’m quoted in this, which does about as good a job overviewing the topic as a New York Times profile can be expected to.

Major oversights in it as I see.

First, It does not acknowledge the fact that Yudkowsky is, at heart, a complete crank. This remains, to my mind, crucial to understanding the rationalist community’s influence on the world: they’re sci-fi writers being mistaken for scientists.

You can’t really understand the harmful effects of SSC until you realize that it’s part of a larger movement of bullshit artists serving as cult leaders to the techbros.

Second, and more importantly, it never really explains the harm that’s being done by Scott Siskind and his followers. It comes close, noting that “SJWs” were the only group not welcome in SSC, but it doesn’t capture the harm of that because it doesn’t unpack the term.

What is meant in practice when “SJWs” aren’t welcome in a space is that marginalized people speaking of the harm they experience are silenced.

That’s it. That’s the meaning.

foone
@Foone

argh chrome updated and it seems they've intentionally broken custom search engines. I have had a keyword search for "foone" which searches my own twitter, so I just type "foone BLAH" and it gives me a twitter search for when I said BLAH, right?

but now I get that option in the titlebar of "search twitter self-search" which is the name of the search"
if I just type "foone blah" now...

it ignores the search I have had defined for years and just googles it.

and this is definitely on purpose because they didn't just break it, they changed it. it's now "fooneblah"

there doesn't seem to be an option to make this stop and get the old behavior back :(

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@HiteshAwasthi89

Bhu Varaha Swamy Temple

Bhu Varaha Swamy temple is a Hindu temple, located at Srimushnam, in the South Indian state of Tamil Nadu. Constructed in the Dravidian style of architecture...

the temple is dedicated to Varaha (Bhu Varaha Swamy), the boar-avatar of the god Vishnu and his consort Lakshmi as Ambujavalli Thayar.

The temple had contributions from Medieval Cholas of the 10th century with later expansions by Thanjavur Nayak king Achuthappa Nayak.

A granite wall surrounds the temple, enclosing all the shrines and the temple tanks. There is a seven-tieredrajagopuram, the temple’s gateway tower.

Six daily rituals and three yearly festivals are held at the temple, of which the Chariot festival....

celebrated during the Tamil month of Vaikasi (April–May), being the most prominent. The festival also symbolises Hindu-Muslim unity in the region – the flag of the chariot is provided by Muslims; they take offerings from the temple and present to Allah in the mosques.

Source & Pic credit : Anusri

John Papa
@John_Papa

Choosing the Right JavaScript Framework

Thanks for joining me @pluralsight to talk about javascript frameworks. We had 150+ awesome questions, so I'll try to answer the ones I couldn't get to online right here in a tweet stream

Watch the video -->
https://t.co/G7zeiKhXme

Q. Do arrow functions really make dealing with JavaScript's "this" keywords easier?

A. Yes! When using arrow functions, the scope of "this" is effectively passed in from the outer scope. See here in this REPL

1/n

Q. Where does Polymer fit in? Is it considered a framework like the others?

A. @Polymer is an excellent way to create web components, which are ideal for creating sets of interactivity that can be shared in web apps.

2/n

Q. Have we gone framework crazy?

A. At one time, quite possibly. A few years back we literally had framework overload. I feel it really has solidified into a few very strong choices.

3/n

Q. [Is] there no more need for @polymer?

A. See my previous question on this ... but in general, I think there is a lot of room for Web Components with frameworks.

4/n

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Anshul Pandey
@Anshulspiritual

Rig Ved 1.36.7

To do a Namaskaar or bow before someone means that you are humble or without pride and ego. This means that we politely bow before you since you are better than me. Pranipaat(प्राणीपात) also means the same that we respect you without any vanity.

1/9

Surrendering False pride is Namaskaar. Even in devotion or bhakti we say the same thing. We want to convey to Ishwar that we have nothing to offer but we leave all our pride and offer you ourselves without any pride in our body. You destroy all our evil karma.

2/9

We bow before you so that you assimilate us and make us that capable. Destruction of our evils and surrender is Namaskaar. Therefore we pray same thing before and after any big rituals.

3/9

तं घे॑मि॒त्था न॑म॒स्विन॒ उप॑ स्व॒राज॑मासते ।
होत्रा॑भिर॒ग्निं मनु॑षः॒ समिं॑धते तिति॒र्वांसो॒ अति॒ स्रिधः॑॥

Translation :

नमस्विनः - To bow.

स्वराजम् - Self illuminating.

तम् - His.

घ ईम् - Yours.

इत्था - This way.

उप - Upaasana.

आसते - To do.

स्त्रिधः - For enemies.

4/9

अति तितिर्वांसः - To defeat fast.

मनुषः - Yajman.

होत्राभिः - In seven numbers.

अग्निम् - Agnidev.

समिन्धते - Illuminated on all sides.

Explanation : Yajmans bow(do Namaskaar) before self illuminating Agnidev by making the offerings of Havi.

5/9

David Rothkopf
@djrothkopf

Pretending that voting for Trump or denying climate change or suggesting the solution to every problem is more guns is a legitimate point of view, worthy of respect is not "how America works." It is how it dies.

People in a free society are entitled to any point of view no matter how obviously wrong or outlandish or destructive provided they do not impose their views on others.

But suggesting that something ignorant or divorced from reality warrants the same kind of treatment in public debate as something based in fact or at least credible is absurd and when done on behalf of a society in public media or academic settings it is self-destructive.

We would not grant media coverage or much bandwidth at all to a group that argued that unicorns exist or that there was a pot of gold at the end of the rainbow. Yet views like denying climate change or basing policy decisions on sweeping, obvious lies, are just as unsound.

Somewhere, somehow, judgments must be made. Some behaviors are wrong and must be condemned. Someone must challenge lies and demand facts. Coddling people who embrace idiocies does not help them no matter how loudly they demand to be coddled.

Simon DeDeo
@SimonDeDeo

So, today, for the first time in 25 (!) years of Apple, I downgraded. From the 2016 MacBook Pro to my 2013, which I had kept in a drawer...

It was pretty simple to do—Apple Time Machine backups let me do it with one click.

That first tweet captures, in two pictures, how badly Apple has “lost the plot” (to quote @wylieprof). On the right is the Apple MagSafe adapter, from 2013. On the left, what I had “upgraded” to.

Thanks, Apple! I really was nostalgic for worrying about yanking my computer off the table.

Oh and I really appreciated not knowing if my computer was charging. What was great was the little whoop sound you used, so that the speaker before me could be informed I was charging my laptop.