Deep Learning Computer Vision Awesome Guides A Layman’s Introduction to GANs for Data Scientists using PyTorch

Most of us in data science has seen a lot of AI-generated people in recent times, whether it be in papers, blogs, or videos.

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Data Science Learning Resources Become an ML Engineer with these courses from Amazon and Google

With ML Engineer job roles in all the vogue and a lot of people preparing for them, I get asked a lot of times by my readers to recommend courses for the ML engineer roles particularly and not for the Data Science roles.

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Data Science How to use SQL with Pandas?

Pandas is one of the best data manipulation libraries in recent times.

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Data Science 5 Essential Business-Oriented Critical Thinking Skills For Data Scientists

As Alexander Pope said, to err is human. By that metric, who is more human than us data scientists?

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Deep Learning Computer Vision Creating my First Deep Learning + Data Science Workstation

Creating my workstation has been a dream for me, if nothing else.

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Big Data Data Science Accelerating Spark 3.0 Google DataProc Project with NVIDIA GPUs in 6 simple steps

Data Exploration is a key part of Data Science. And does it take long?

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Programming Computer Vision Awesome Guides Deployment could be easy — A Data Scientist’s Guide to deploy an Image detection FastAPI API using Amazon ec2

Just recently, I had written a simple tutorial on FastAPI, which was about simplifying and understanding how APIs work, and creating a simple API using the framework.

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Deep Learning Computer Vision Awesome Guides How to Create an End to End Object Detector using Yolov5

Ultralytics recently launched YOLOv5 amid controversy surrounding its name. For context, the first three versions of YOLO (You Only Look Once) were created by Joseph Redmon.

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Natural Language Processing Deep Learning Computer Vision Awesome Guides A definitive guide for Setting up a Deep Learning Workstation with Ubuntu

Creating my own workstation has been a dream for me if nothing else.

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Awesome Guides Data Science A Layman’s Guide for Data Scientists to create APIs in minutes

Have you ever been in a situation where you want to provide your model predictions to a frontend developer without them having access to model related code?

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