Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
- programming
- development
- design
- design-system
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TranslatedDeep Learning 500 Questions: in question-and-answer form, it covers hot topics in commonly used probability, linear algebra, machine learning, deep learning, computer vision and more, to help myself and readers who need it. The book is divided into 18 chapters and has more than 500,000 characters. Due to limited ability, readers are kindly asked to criticize and correct any improper parts of the book. To be continued............ If you are interested in cooperating, contact [email protected]. All rights reserved, infringement will be prosecuted. Tan 2018.06
Learn how to design systems at scale and prepare for system design interviews
- architecture
- distributed-systems
- system-design
- system-design-interview
Learn System Design concepts and prepare for interviews using free resources.
TranslatedThis project covers the knowledge points and code implementations frequently asked about in Machine Learning, Deep Learning, and NLP interviews, and it is also the basic theoretical knowledge that an algorithm engineer must master.
A pattern-based approach to learn technical interview questions
- leetcode
- interview-prep
- study-guide
- data-structures
Enjoy Learning.
- java
- android
- jvm
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
- interview-questions
- dsa
- dbms
- sql
Data science interview questions and answers
- data-science
- machine-learning
- interview-questions
- data-science-interviews
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
- machine-learning
- machine-learning-algorithms
- ai
- deep-learning
TranslatedAlgorithm learning notes
TranslatedInterview = Resume Guide + Algorithm Problems + Standard Interview Q&A (八股文, "eight-legged essay") + Source Code Analysis
- python
- kaggle
- machine-learning
- leetcode
TranslatedDeep learning interview handbook (covering mathematics, machine learning, deep learning, computer vision, natural language processing, SLAM, and more)
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
- design
- system-design
- low-level-design
- design-patterns
TranslatedLarge language model knowledge sharing that everyone can understand, a must-read before LLM spring/autumn recruitment interviews, so you can talk confidently with interviewers
- llm
- interview-questions
- interview-practice
- agent
TranslatedAI algorithm job-hunting guide (covering preparation guides, problem-solving practice guides, internal referrals, a list of AI companies, and other materials)
Curated list of data science interview questions and answers
Translated[Three Years of Interviews, Five Years of Mock Interviews] An interview resource platform for AIGC/LLM/AI Agent algorithm engineers. It covers practical interview and written-test experience and core, cross-cycle knowledge for the AI industry, including AIGC, LLM large models, AI Agents, embodied intelligence, traditional deep learning, computer vision, natural language processing, autonomous driving, machine learning, reinforcement learning, big data mining, world models, the metaverse, AGI, and more.
Machine Learning and Computer Vision Engineer - Technical Interview Questions
- computer-vision-interview-questions
- data-science-interview
- data-science-interview-questions
- data-science-interviews
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
- data-science
- machine-learning
- deep-learning
- data-portfolio
AI system design guide for engineers building production AI systems and evals.
- agentic-ai
- agentic-workflow
- artificial-intelligence
- aws
Welcome to the SDE Interview Preparation Roadmap! This repository is not just about my personal journey; it's a collaborative space for collective learning. As I prepare for Software Development Engineer (SDE) interviews, I've created a comprehensive checklist to guide my preparation.