BC DS
Saved by @AnmolNarula11

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.
On the same topic:

There aren't stupid questions. Only stupid people that don't ask them.

"He who asks a question is a fool for five minutes; he who does not ask a question remains a fool forever." — Chinese Proverb
Communication > technical skills.

You won't get far unless you can convince people, share your ideas, and make connections.

Invest twice as much time learning how to talk and write than how to program.
Not everything you can do is worth doing.

If you want to make a difference, learn to prioritize and delegate.

Invaluable skills:

• Recognizing high-impact work
• Recognizing what wastes your time
• Learning to delegate effectively
Learn all about learning.

You need a process that helps you learn efficiently and effectively.

I wrote an article with my 5-step process to learn new things. You can now go and make it yours:

https://t.co/jYw7WGy6Ht
Share what you learn.

Many people think that hiding information makes them a linchpin. 99% of the time, the opposite happens.

People want to be around those who lift them.

The quickest path to becoming the angular stone of your team: share your knowledge indiscriminately.
Take full responsibility.

A question you should ask every time a problem happens: "What can I do differently next time?"

Look inward. Every time, no matter what.

Finding justifications is easy. It's also a sure way to stay mediocre.
The best code is the one nobody wrote.

Code is a liability. Learn to solve problems by writing as few lines as possible.

An underappreciated superpower: No-code solutions.

Your worst enemy: complexity.
If you don’t test, it doesn’t work.

Any code that can break will eventually break. If you don't have automated tests, you'll suffer the consequences.
Embrace failures.

If you don't fail, you don't learn. If you haven't failed yet, you aren't working on interesting problems.

You fail, you adapt, you try again.
Welcome imposter syndrome.

If you feel inadequate, it means you are stretching yourself and growing. You don't know how to do it yet, but you will.

(People who are working on easy, irrelevant things have no reason to doubt themselves.)
I post threads like this every week. You can find them here: @svpino.

Follow along for a good bunch of practical tips and epic stories about my experience in the field.

More from Santiago

Santiago
Santiago
@svpino
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.
ALL
Santiago
Santiago
@svpino
An introduction to one of the the most basic structures used in machine learning: a tensor.

🧵👇

Tensors are the data structure used by machine learning systems, and getting to know them is an essential skill you should build early on.

A tensor is a container for numerical data. It is the way we store the information that we'll use within our system.

(2 / 16)

Three primary attributes define a tensor:

▫️ Its rank
▫️ Its shape
▫️ Its data type

(3 / 16)

The rank of a tensor refers to the tensor's number of axes.

Examples:

▫️ The rank of a matrix is 2 because it has two axes.
▫️ The rank of a vector is 1 because it has a single axis.

(4 / 16)

The shape of a tensor describes the number of dimensions along each axis.

Example:

▫️ A square matrix may have (3, 3) dimensions.
▫️ A tensor of rank 3 may have (2, 5, 7) dimensions.

(5 / 16)
MACHINE LEARNING , TENSOR BASICS
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Santiago
Santiago
@svpino
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 😉.
ALL
Santiago
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
ALL
Santiago
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
ALL

More from Ds

Santiago
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.
ALL , DS , ADS
Sahil Sharma
Sahil Sharma
@sahil_vi
@dixit_37 Yup, autocorrect. 😅
DS
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Japakusum
Japakusum
@Japakusum1
@paraschopra It's a matter of time before AI realizes futility of existence and merged in the state of Nirvana 😊

People might be worried about the The Age of Ultron type of AI.
I feel that a wisdom seeking AI will quickly pursue Nirvana and go back to the origin of all origins.

An episode of Justice League Unlimited animated series covers it
DS
Sahil Sharma
Sahil Sharma
@sahil_vi
🧵🧵🧵🧵 👇

Artificial Inteligence = 🖥️ + 🧠

When can you expect your fridge & mobile phone to revolt against you? (Spoiler Alert: Not in the foreseeable future).

Please Do 're-tweet' the Thread & help me spread the knowledge to more people.


1. The Language
In order to understand Artificial intelligence, machine learning, deep learning, we need to start at the very basics.

Humans speak and understand a wide variety of 'natural' languages (this is what computer science community calls them): like English, Hindi, Marathi, Bengali, Tamil etc.

But have you seen a peculiarity of human languages? They do not have a precise meaning associated with a given sentence. On an average, every English word has 2 meanings. This makes human conversations confusing, with the need for multiple turns & clarifications. Example 👇:

Person 1 conversing with Person 2 face to face:

Person 1: Lets go watch The Dark Knight. Its our marriage anniversary!
Person 2: I dont like going out at night. Its too scary & depressing.
Person 1: Oh, what i meant was watching the movie "The dark Knight".
GENERICLEARNINGS , DS , AI
Santiago
Santiago
@svpino
The two main machine learning techniques used in the industry today:

1. Gradient Boosted Trees
2. Deep Learning

Focus your time learning Scikit-Learn, XGBoost, and a Deep Learning library like Keras or PyTorch and you'll get the most for your time.

If you need to deal with structured data: Scikit-Learn + XGBoost.

If you need to deal with unstructured data (perceptual tasks): Keras or PyTorch.

Of course, there are many more techniques that will be helpful, but if you focus on these you'll be maximizing your ability to deliver value in the short term.
DS

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Bijay
Bijay
@Bijay_reborn
A small write up on how the OPTION PRICES BEHAVES AT SUPPORT & RESISTANCE


https://t.co/EIbXwcHpHf


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ALL
\u0936\u094d\u0930\u0940\u092e\u093e\u0932\u0940 \u0939\u093f\u0924\u0947\u0936 \u0905\u0935\u0938\u094d\u0925\u0940 \U0001f1ee\U0001f1f3
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An interesting story of Kamala Devi hazarika for all Sanatanis...🙏

A Xtian missionary was sent to Assam for the promotion of religion. His name was Cruz. He came across to one the boys from an influential family in Assam to teach him English.
@noconversion

Cont 👇


The p@stor slowly began to study the house and he learned that the boy's grandmother was the most influential person in the house. So he thought 'Corrupting the grandmother's mind can make the whole family Xtian as well as the whole village.

Cont 👇


The p@stor began to tell Grandma the stories of how J€$u$ cured leprosy of lepers, how He gave sight to the blind, etc..But after listening to him, the strong Sanatani grandmother said. A stone turned into a living woman (Ahalya) for our Rama when he touched the stone.

Cont 👇


She spoke of Rama setu where stones floated in sea just by writing his name on the stones and that they are still floating today.
The p@stor continued his efforts but all his tricks went in vain.

Cont 👇


One day he had brought a cake from the church and he thought of offering it to grandmother but he was doubtful that she would eat it. But contrary to his expectation, she took the cake and ate it.

Cont 👇
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Anu Satheesh \U0001f1ee\U0001f1f3
Anu Satheesh 🇮🇳...
@AnuSatheesh5
Velimalai Kumaraswamy Kshetram
Kumarakovil, #Kanyakumari
#Tamilnadutemples 🚩

Velimalai Kumaraswamy Temple is a Murugan temple located in Kanyakumari District of Tamilnadu.

Muruga faces east and is said to be facing Sthanumalayan (Paramashiva) of Suchindram. Muruga is of


eight feet vigraham and Valli thayar is six feet tall. Eventhough Thiruthani is believed to be the place where Subrahmanya married Valli, it is also believed that Valli’s thayar's marriage took place with Murugan here.

There is a Kalyana Vinayakar sannidhi
who helped Muruga's


marriage with Valli. Kumarakovil is also known as Kumara Kshetram and Subrahmanya Sthala. The Tamil epic Chilapathikaram refers to the temple as Chera Nattu Aeragam

Wedding of Valli and Murugan is celebrated here in the Tamil month of Panguni (March-April).

Om Muruga
🙏🕉🙏
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raina douris
raina douris
@RahRahRaina
fascinated by this man, mario cortellucci, and his outsized influence on ontario and GTA politics. cortellucci, who lives in vaughan and ran as a far-right candidate for the italian senate back in 2018 - is a major ford donor...


his name might sound familiar because the new cortellucci vaughan hospital at mackenzie health, the one doug ford has been touting lately as a covid-centric facility, is named after him and his family

but his name also pops up in a LOT of other ford projects. for instance - he controls the long term lease on big parts of toronto's portlands... where doug ford once proposed building an nfl stadium and monorail... https://t.co/weOMJ51bVF


cortellucci, who is a developer, also owns a large chunk of the greenbelt. doug ford's desire to develop the greenbelt has been

and late last year he rolled back the mandate of conservation authorities there, prompting the resignations of several members of the greenbelt advisory
WORLD
Anu Satheesh
Anu Satheesh
@AnuSatheesh5
Alathiyur Hanuman Temple
Malappuram, Kerala 🚩
#keralatemples

One of the Powerful Anjaneya Temples in Kerala. Hanuman temple is adjacent to Shri Ramar Sannidhi. Here Hanuman's head is tilted towards the left to hear Shri Rama's words. Shri Rama is entrusting Hanuman👇


Task of locating Mata Sita in Lanka.

Prathishta of Hanuman is done by Sage Vasishta. Eventhough this is Shri Ram Temple, importance is given to Hanuman
Shri Rama shares with Hanuman the Abhignana Vaakhyam, the words that would enable him to gain the confidence of Mata Seetha.


Hanuman stands leaning a little towards the left, showing how he hear Shri Rama's words and also assuring him Your Wish is my Command.
The Vigraham of Hanuman gives us the Strength, Confidence and Bhakthi.
There is a place marked here to show Hanuman’s leap to Lanka over sea.


Devotees run and leap over the stone for better health.Aval Naivedhyam is famous here. Those children who have nightmares are told to pray Alathiyur Hanuman. Mantra 👇

Alathiyur Hanumane
Pedi Swampnam kanarudhe
Pedi Swapnam Kandalo
Val Kondu Thattiyunarthename
🙏🕉🙏
ALL