Language-Conditioned Policy Learning, Effective ML Testing, EagerPy
Explore NLP/ML tools, datasets, projects, and papers in this biweekly meeting. Learn about language-conditioned policy learning, effective ML testing, and EagerPy.
Binary Trees Tutorial - Introduction, Traversals, Implementation
Comprehensive tutorial on binary trees covering fundamentals, implementation, and traversals. Ideal for DSA interview preparation, with hands-on coding examples and in-depth explanations.
Chip Huyen on Machine Learning Interviews - November 2019
Explore machine learning career paths, interview processes, and industry insights with Chip Huyen. Gain valuable tips for ML job seekers and understand the challenges in tech hiring.
Segment Trees Tutorial - Range Queries - Interview Questions
Comprehensive tutorial on segment trees for efficient range queries in coding interviews. Covers theory, implementation, and practical examples with hands-on coding.
Binary Search Interview Questions - Google, Amazon, Microsoft
Solve binary search interview questions from top tech companies. Learn approaches, implementations, and dry runs for efficient problem-solving in coding interviews.
Permutations of a String - C++ Placement Course
Explore recursion through string permutations in C++. Learn problem-solving techniques, code implementation, and step-by-step dry run for a deeper understanding of this crucial concept.
Greedy Algorithms in 1 Video
Comprehensive video on greedy algorithms, covering multiple problems with code examples. Ideal for placement preparation, offering practical insights and problem-solving techniques.
Heaps in C++ - Interview Questions - Part 1
Comprehensive tutorial on solving heap-related problems in C++, covering five key questions with detailed approaches and code implementations for interview preparation.
Binary Tree FAANG Interview Questions - Part 2
Solve 7 advanced binary tree problems with detailed explanations and code implementations. Learn efficient traversal techniques for zigzag, boundary, vertical, top view, bottom view, and more.
Binary Tree FAANG Interview Questions - Part-1
Comprehensive tutorial solving 5 binary tree interview questions, covering height, diameter, balance, identity, and sum tree problems with multiple approaches and code implementations.
AI for Cybersecurity
Explore AI's role in cybersecurity, including research examples, workforce development, and the AI4Cyber Virtual Machine. Gain insights on integrating AI into security practices and optimizing operations.
Celebrating Technology Leaders - Machine Learning Careers: Looking Beyond the Hype
Insightful discussion on machine learning careers, exploring the gap between hype and reality, problem identification, success metrics, and navigating the evolving ML landscape with expert panelists.
What is Platform Engineering - Understanding Its Role in Modern Software Development
Explore platform engineering's role in modern software development, its relationship with DevOps, and career opportunities in this emerging field.
Berkeley in the 80s - Episode 1- Shafi Goldwasser
Insightful interview with Turing Laureate Shafi Goldwasser, exploring her groundbreaking research in theoretical computer science, interactive proofs, and zero-knowledge protocols at UC Berkeley in the 1980s.
How ChatGPT Can Improve Your Career and Professional Prospects and Land a New Job
Leverage ChatGPT to enhance your resume, explore career options, evaluate job prospects, and craft compelling cover letters for improved professional opportunities.
Stacks & Queues Interview Questions - Google, Facebook, Amazon, Microsoft
Comprehensive guide to solving stack and queue interview questions from top tech companies, with step-by-step explanations and code walkthroughs for various difficulty levels.
HackadayU: Quantum Computing - Quantum Career
Explore quantum computing careers with Dr. Kitty Yeung, covering diverse roles, industry insights, and expert advice for aspiring professionals in this cutting-edge field.
On-Device Continuous Event-Driven Deep Learning to Avoid Model Drift
Explore on-device continuous event-driven deep learning to prevent model drift in AIoT applications, focusing on real-time data adaptation without user intervention for industrial use cases.
Enabling On-Device Learning at Scale
Explore on-device learning techniques for AI personalization, including few-shot learning, continuous learning, and federated learning, addressing privacy and efficiency challenges in edge computing.
Making Our Models Robust to Changing Visual Environments
Explore techniques for making machine learning models robust to changing visual environments, covering domain adaptation, adversarial optimization, and continuous learning strategies.
AI at the Edge - Enabling Vision for Low-Power Devices
Explore AI's shift to edge devices, focusing on building efficient computer vision algorithms for battery-powered devices. Learn about data collection, continuous learning, and optimization techniques.