Including a powerful guide for serious beginners

Image for post
Image for post
Photo by Franki Chamaki on Unsplash

Data Science is a field that has a lot of mixed emotions — massive hype around recent innovations, and plenty of resources telling you that in order to be a Data Scientist, you need to have an advanced math degree under your belt.


Before jumping into a career in Data Science, it’s best to look at the market from a different lens

Image for post
Image for post
Photo by Icons8 Team on Unsplash

When Harvard Business Review came out with its article labelling Data Science the sexiest job of the 21st century, it grabbed a lot of eyeballs. Safe to say that that ~3000-word article initiates a mad frenzy as people scrambled to learn Data Science with the eventual hope of becoming a Data Scientist.


A Compiled List of Essential Math topics to supercharge your journey into AI

Image for post
Image for post
Photo by NeONBRAND on Unsplash

A week back, I wrote an article on How to Get into Data Science in 2021 and since then I’ve received quite a few emails asking me just how much math is required in Artificial Intelligence.


A Python library that changes your approach towards Machine Vision

Image for post
Image for post
Photo by Joseph Greve on Unsplash

When I released Caer back in August of this year, I have received hundreds of emails from researchers and computer vision enthusiasts around the world thanking me for releasing the library. Their good (and bad) feedback pushed and motivated me to take the library to another level.


Opinion

The Swiss Army Knife of Programming Languages has its problems and may be replaced by other languages better suited for the task

Image for post
Image for post
Photo by Tamara Gore on Unsplash

Ever since Python was released in the early 1990s, it has generated a lot of hype. Sure, it took the programming community at least 2 decades to appreciate its existence, but since then, it has far surpassed C, C#, Java and even Javascript in popularity.

What made Python so popular?

One of the main driving points behind Python’s meteoric growth was how easy it was to learn and how…


And how to have a whale of a good time with it

Image for post
Image for post
`Photo by Todd Cravens on Unsplash

A couple of weeks ago, I was just about ready to release Caer, a Computer Vision library in Python to be publically available on PyPi, when I decided to send it to a friend in Alberta to tink around with it.


A hackable cheatsheet to get you up and running with SQL

Image for post
Image for post
Photo by Jamie Templeton on Unsplash

I’m a Data Science enthusiast and one of the main things I deal with is Data. A lot of it.

What is SQL?

SQL stands for Structured Query Language. It is a language for relational database management systems. SQL is used today to store, retrieve and manipulate data within relational databases.


A step-by-step implementation of a Dogs vs Cats classifier in Keras

Image for post
Image for post
Photo by Andrew Lancaster on Unsplash

Almost everything around you today is empowered by Machine Learning and Deep Learning. From the way Google Photos recognizes your face from a bunch of people in an image, to autonomous vehicles, these algorithms have changed the landscape of machine-centred thinking.


7 Tricks and Tips to go from 50% to 90% accuracy in literally minutes!

Image for post
Image for post
Photo by SpaceX on Unsplash

So, you have gathered a dataset, built a neural network, and trained your model.

1. Get More Data

Deep learning models are only as powerful as the data you bring in. One of the easiest ways to increase validation accuracy is to add more data. This is especially useful if you don’t have many training instances.


Included: 5 Steps to building ANY Deep Learning Model!

Image for post
Image for post
Photo by Lenin Estrada on Unsplash

For those in a hurry, here is the course:

For others:

A couple of months back, I wrote a post on how to get into Data Science. I’ve received hundreds of emails since from people all over the world, and the positive (and negative) reviews I got made me realize one thing: for new entrants to the field, Data Science is hard.

Jason Dsouza

At the crossroads of technology, vision and human-centered AI | Top Writer | Creator of Caer, the Vision library for Python

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store