It's a practical introduction to the fundamental techniques for extracting and transforming features into a suitable format for machine learning models.
↓ 4/7
Many people wonder whether it's a good idea to start their machine learning career as a data analyst.
Absolutely, yes!
People with a strong data background make a killing when they start learning and applying algorithms to that data.
↓ 5/7
Yes, you should learn SQL.
I understand that non-relational databases are sexy. I understand that Mary says that they are better, and Johnny thinks nothing is like them.
Don't listen to them. Go and learn SQL. The "SELECT thing FROM there" type of SQL.
↓ 6/7
There's a lot of creativity when dealing with data.
It's a powerful skill that makes the difference. It's a lot about tools and processes, but even more about brains.
Get good at it, and you'll be ahead of 90% of everyone else around you.
7/7
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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!
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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.
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.
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:
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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.