Santiago Profile picture
26 Apr, 21 tweets, 7 min read
20 quotes that I use as inspiration to change my life.

Print them out. Keep them close. Read them frequently. Reflect on them and the wisdom behind every word.

Let's start:

Humans are allergic to change. They love to say, "We've always done it this way." I try to fight that. That's why I have a clock on my wall that runs counterclockwise.

— Grace Hopper
With engineering, I view this year's failure as next year's opportunity to try it again.

Failures are not something to be avoided. You want to have them happen as quickly as you can so you can make progress rapidly.

— Gordon Moore
People think that computer science is the art of geniuses, but the actual reality is the opposite, just many people doing things that build on each other, like a wall of mini stones.

— Donald Knuth
Don't rest on your laurels. There's always going to be someone behind you who's going to be better than you. So you need to get out there and keep working.

— Sheila Johnson
Any fool can write code that a computer can understand. Good programmers write code that humans can understand.

— Martin Fowler
Love what you do and do what you love. Doing something new and different requires a level of drive and passion that is really hard to fake. When your heart is behind what you are doing, so much is possible.

— Tracy Sun
If you're not failing 90% of the time, then you're probably not working on sufficiently challenging problems.

— Alan Kay
"Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less."

— Marie Curie
It is better to do the right problem the wrong way than the wrong problem the right way.

— Richard Hamming
Dream small dreams. If you make them too big, you get overwhelmed and you don't do anything. If you make small goals and accomplish them, it gives you the confidence to go on to higher goals.

— John H. Johnson
Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it.

— Brian Kernighan
There is no recipe, there is no one way to do things — there is only your way. And if you can recognize that in yourself and accept and appreciate that in others, you can make magic.

— Ara Katz
Imagination is more important than knowledge. For knowledge is limited, whereas imagination embraces the entire world, stimulating progress, giving birth to evolution.

— Albert Einstein
Simplicity is about subtracting the obvious and adding the meaningful.

— John Maeda
If you wake up deciding what you want to give versus what you're going to get, you become a more successful person. In other words, if you want to make money, you have to help someone else make money.

— Russell Simmons
It's hard enough to find an error in your code when you're looking for it; it's even harder when you've assumed your code is error-free.

— Steve McConnell
I have not failed. I've just found 10,000 ways that won’t work.

— Thomas Edison
I always did something I was a little not ready to do. I think that's how you grow. When there's that moment of "Wow, I'm not really sure I can do this," and you push through those moments, that's when you have a breakthrough.

— Marissa Mayer
Technology is nothing. What's important is that you have a faith in people, that they're basically good and smart, and if you give them tools, they'll do wonderful things with them.

— Steve Jobs
You can do anything you want to, but you have to work at it.

— Annie Easley

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More from @svpino

28 Apr
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!

Image
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.

introtodeeplearning.com Image
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.

atcold.github.io/pytorch-Deep-L… Image
Read 8 tweets
27 Apr
$5 only for the next 50 orders.

1,131 people have bought it. 99% 5-star ratings.

Don't like it, and you pay nothing.

Link here → gum.co/kBjbC/five Image
If you bought it already or aren't interested, like/retweet the original tweet, and you'll be supporting my work as much as if you were paying.

Thank you from the bottom of my heart!
40 left.
Read 5 tweets
27 Apr
Data is the core of machine learning.

It should not surprise you that most of the work you'll have to do is related to capturing, managing, processing, and validating data.

A few recommendations for those who would like to start.

1/7
As you get your feet wet, these are roughly some of the areas that you should cover:

• Data collection
• Data visualization
• Imputation
• Handling outliers
• Encoding
• Normalization and scaling
• Binning and grouping

2/7
Here is a good, introductory, free course provided by Google:

"Data Preparation and Feature Engineering in ML." — developers.google.com/machine-learni…

It covers the process of collecting, transforming, splitting, and creating datasets that machine learning algorithms can use.

↓ 3/7 Image
Read 7 tweets
24 Apr
A book that will significantly help with your Python 🐍 skills:

• "Effective Python. 90 specific ways to write better Python." from Brett Slatkin @haxor.

amzn.to/3tM655V

Make sure you buy the second edition.

↓ 1/3 Image
The book contains 90 short lessons. Attached is the entire list.

Each lesson will take you a few minutes, which is extremely powerful:

• Finish lunch 🍱
• Grab the book
• Read one lesson
• Find a place in your code to apply it
• Put back the book on the shelf

↓ 2/3 ImageImageImageImage
Do this consistently, and you will significantly improve your Python skills.

Post a summary here on Twitter of what you learned for even better results.

This book works best for those who already write Python. It's not what you need to start from scratch.

3/3
Read 4 tweets
23 Apr
I've been teaching people how to start with machine learning for more than a year now.

This is a thread with what I've learned and some advice if you are looking to start.

↓ 1/14
People enjoy the process of getting ready to start something new.

Like the first time they go to the gym: they buy supplements, shorts, shoes, and a new headband.

Unfortunately, this is not enough.

↓ 2/14
Most people never stop preparing.

They keep collecting books, tutorials, the "best" videos and ask the same "how to start" questions.

The only thing they forget: taking a concrete step forward.

↓ 3/14
Read 14 tweets
22 Apr
A 13-tweet introduction to one of the most basic structures used in machine learning: a tensor.

Understanding how tensors work is fundamental. They aren't complex but working with them may get confusing if you don't understand all the pieces.

Let's solve that today.

↓ 1/13
Three primary attributes define a tensor:

• Rank: Number of axes.
• Shape: Number of dimensions per axis.
• Data type: Type of data contained in it.

↓ 2/13
The rank of a tensor refers to the tensor's number of axes.

Examples:

• Rank of a matrix is 2.
• Rank of a vector is 1.
• Rank of a scalar is 0.

↓ 3/13
Read 14 tweets

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