Amazon-ML-Summer-School-2025 and AmazonMLSS22

Amazon-ML-Summer-School-2025
50
Established
AmazonMLSS22
25
Experimental
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 6/25
Maturity 8/25
Community 11/25
Stars: 170
Forks: 28
Downloads: —
Commits (30d): 0
Language: —
License: MIT
Stars: 22
Forks: 3
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
No Package No Dependents
No License Stale 6m No Package No Dependents

About Amazon-ML-Summer-School-2025

cu-sanjay/Amazon-ML-Summer-School-2025

Learn Machine Learning with Amazon's Summer School Program 2025. Access session summaries, previous year MCQs, programming questions, and official test material. Practice module-wise coding tasks and build a strong foundation for interviews and real-world applications.

This resource helps students prepare for the Amazon ML Summer School 2025 program. It provides curated course materials, session summaries, and practice problems, including previous year's questions and a solved official sample test. Undergraduate students targeting a career in machine learning would use this to build a strong foundation and prepare for the selection test.

Machine Learning Student Recruitment Exam Preparation Career Development Deep Learning

About AmazonMLSS22

piyush26arora/AmazonMLSS22

Repository containing important ML concepts and algorithms, discussed in AMAZON ML SUMMER SCHOOL 2022.

This collection of materials provides an overview of fundamental machine learning concepts and algorithms. It summarizes topics like supervised and unsupervised learning, deep neural networks, and reinforcement learning, presenting the core ideas behind how machines learn from data. This is ideal for students or professionals new to AI who want to grasp the basics of how intelligent systems are built.

machine-learning-education ai-foundations data-science-learning computational-modeling algorithmic-principles

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