Saurabh23
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Learn how to design, develop, deploy and iterate on production-grade ML applications.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…
Roadmap to becoming an Artificial Intelligence Expert in 2022
Full Stack Data Science in Python
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
Real-Time Bidding by Reinforcement Learning in Display Advertising
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Learn ML engineering for free in 4 months!
What happens behind the scenes when we type www.google.com in a browser?
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
The most recommended programming books of all-time.
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
https://huyenchip.com/ml-interviews-book/
These are coding solutions for problems I study while preparing for technical interviews at tech companies
Problems from https://datascienceprep.com/
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Blueprint/Boilerplate For Python Projects
So your teacher asked you to upload written assignments? Hate writing assigments? This tool will help you convert your text to handwriting xD
Terraform module to automate the provisioning an AWS EC2 instance with a gpu to play games in the cloud using Parsec.
Awesome collection of content for developers trying to bootstrap their SaaS
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
How to build your own AI art installation from scratch
Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core