Day 28 : 60 days of Data Science and Machine Learning Series

ML Clustering Project 2 ( Part 1)..

Welcome back peeps. Last few weeks have been crazy busy on the work front. Anyways, In this post we will cover ML Clustering in detail with a project 2( Part 1).

How Big Systems are Build — 200+ System Design Case Studies:

System Design Den : Must Know System Design Case Studies

[System Design Tech Case Study Pulse #15] 80 Million Photos Daily : How Instagram Achieves Real Time Photo Sharing

[System Design Tech Case Study Pulse #9] Facebook’s News Feed Algorithm Marvel: How it Serves 2.9 Billion Daily Active Users Using PyTorch and Cassandra

[System Design Tech Case Study Pulse #2] How Lyft Handles 2x Traffic Spikes during Peak Hours with Auto scaling Infrastructure..

[System Design Tech Case Study Pulse #12] 8+ Billion Daily Views: How Facebook’s Live Video Ranking Algorithm Processes Daily Views Using Storm and Memcache

[System Design Tech Case Study Pulse #18] Tinder 1.5 Billion Swipes per Day : How Tinder Real Time Matching Actually Works

[System Design Tech Case Study Pulse #7] 500+ Million Users Daily : The Tech Behind Instagram Stories..

[System Design Tech Case Study Pulse #17] How Discord’s Real-Time Chat Scales to 200+ Million Users

[System Design Tech Case Study Pulse #13] 20 Billion Messages Daily: How Facebook Messenger Actually Works

[System Design Tech Case Study Pulse #16] How Facebook’s Live Video Ranking Algorithm Works to Process 8+ Billion Daily Views

[System Design Tech Case Study Pulse #16] 100+ Million Requests per Second : How Amazon Shopping Cart Actually Works

[System Design Tech Case Study Pulse #11] Serving 132+ Million Users : Scaling for Global Transit Real Time Ride Sharing Market at Uber

[System Design Tech Case Study Pulse #8] Processing 2 Billion Daily Queries Using Unicorn and Apache Thrift : Facebook’s Graph Search Secret Sauce