A personal video library with 95 videos: 32 standalone videos and 63 lessons across 3 course collections.

Browse by topic below. Click a title or thumbnail to open its notes, summary, and chapter index. Use “Watch on YouTube” to open the original video. English and Spanish titles follow the source notes.

Contents

AI coding and agent workflows

CoverVideo and notesChannelDuration
AI Skills with Matt PocockAI Skills with Matt Pocock
Reusable skills, context management, and engineering fundamentals.
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The Pragmatic Engineer1:36:36
9 Things People Get Wrong With My /grill-* skills9 Things People Get Wrong With My /grill-* skills
Planning with questions, choosing scope, and using session context.
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Matt Pocock13:28
So I tried Matt's skills...So I tried Matt's skills...
A hands-on review of Matt Pocock's skills and pstack.
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Theo - t3․gg38:21
Learn anything with the /teach skillLearn anything with the /teach skill
A stateful agent skill for guided learning.
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Matt Pocock13:04
Your prompts kinda suckYour prompts kinda suck
Prompt-driven diagnostics, delegation, and connected workflows.
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Theo - t3․gg31:47
LIVE: Poteto (creator of pstack) on shipping 1,000's of PR's a month at SpaceXLIVE: Poteto (creator of pstack) on shipping 1,000's of PR's a month at SpaceX
pstack and engineering workflows at SpaceX.
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Matt Pocock1:05:36
Building OpenCode with Dax RaadBuilding OpenCode with Dax Raad
Building OpenCode, inference economics, and engineering culture.
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The Pragmatic Engineer1:21:01
How To Give Claude Unlimited UsageHow To Give Claude Unlimited Usage
Claude usage limits, costs, and coding workflows.
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Theo - t3․gg38:47
If you have a Claude sub, watch thisIf you have a Claude sub, watch this
Subscription economics, parallel agents, verification, and overnight workflows.
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Theo - t3․gg1:06:36
The True Cost of AI CodingThe True Cost of AI Coding
Developer burnout, motivation, and boundaries around AI coding.
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Syntax24:27

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AI models and application architecture

CoverVideo and notesChannelDuration
So I've been testing Gemini 4...So I've been testing Gemini 4...
Hands-on model evaluation, demos, and code audits.
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Theo - t3․gg38:30
Kimi K3 es Salvaje (lo siento, Claude)Kimi K3 es Salvaje (lo siento, Claude)
Kimi K3 benchmarks, pricing, and practical tests.
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midudev30:15
How to Build a Scalable RAG System for AI Apps (Full Architecture)How to Build a Scalable RAG System for AI Apps (Full Architecture)
Retrieval, indexing, and architecture for RAG applications.
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ByteMonk15:52

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Databases and distributed systems

CoverVideo and notesChannelDuration
13 Database Concepts Every Backend Engineer Must Know13 Database Concepts Every Backend Engineer Must Know
Relational fundamentals, performance, transactions, and scaling.
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Amigoscode13:17
Designing Data-intensive Applications with Martin KleppmannDesigning Data-intensive Applications with Martin Kleppmann
DDIA, cloud tradeoffs, formal verification, and local-first software.
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The Pragmatic Engineer1:25:49
How Instagram Scaled Postgres to 2 Billion UsersHow Instagram Scaled Postgres to 2 Billion Users
Connection pooling, sharding, IDs, and Postgres at scale.
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Akhil Sharma22:37
Why Netflix, Instagram, and Twitter Pick Different DatabasesWhy Netflix, Instagram, and Twitter Pick Different Databases
Choosing databases around access patterns.
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ByteMonk10:49
The Real Reason Discord Left CassandraThe Real Reason Discord Left Cassandra
Message storage, Cassandra bottlenecks, and migration to ScyllaDB.
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ByteMonk19:40
El error que tumbó a GitHub, explicadoEl error que tumbó a GitHub, explicado
A GitHub outage and the engineering behind the failure.
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BettaTech17:28

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System design, cloud, and deployment

CoverVideo and notesChannelDuration
How Senior Engineers Actually Think About System Design & Architecture | Full CourseHow Senior Engineers Actually Think About System Design & Architecture | Full Course
Architecture decisions and system design reasoning.
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JavaScript Mastery38:00
No sos Netflix. Cuando tu sistema no necesita escalar a un millón de usuarios. - J. Rodríguez MontiNo sos Netflix. Cuando tu sistema no necesita escalar a un millón de usuarios. - J. Rodríguez Monti
Practical architecture without premature scaling.
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Nerdearla27:47
50 Million HTTP Requests/Month ($15 Budget) [First 2 Hours]50 Million HTTP Requests/Month ($15 Budget) [First 2 Hours]
Deploying real applications on a small AWS budget.
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Cododev2:26:15
Let's Handle 1 Million Requests per Second, It's Scarier Than You Think!Let's Handle 1 Million Requests per Second, It's Scarier Than You Think!
Load testing and handling high request throughput.
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Cododev2:39:18
AWS Certified Cloud Practitioner Certification Course 2026 (CLF-C02) - Pass the Exam!AWS Certified Cloud Practitioner Certification Course 2026 (CLF-C02) - Pass the Exam!
Full CLF-C02 course with AWS services, labs, and exam preparation.
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freeCodeCamp.org13:46:27

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Engineering careers and interviews

CoverVideo and notesChannelDuration
Tech interviews with NeetCodeTech interviews with NeetCode
Coding interviews, engineering judgment, and career decisions.
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The Pragmatic Engineer1:29:56
EL ERROR que TE DESCARTA en una Entrevista TécnicaEL ERROR que TE DESCARTA en una Entrevista Técnica
Interview formats, preparation, and explaining your reasoning.
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Yari Taft20:10
Trabajó en Google, Facebook y YouTube: Hablando con Ingeniero de Silicon Valley 🔴Trabajó en Google, Facebook y YouTube: Hablando con Ingeniero de Silicon Valley 🔴
Big Tech careers, interviews, English, and international opportunities.
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diegoveloper2:18:40
Stanford AI Expert: These 3 Jobs Will EXPLODE in the Next 5 Years!Stanford AI Expert: These 3 Jobs Will EXPLODE in the Next 5 Years!
How AI changes engineering roles and the skills to develop.
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Sajjaad Khader13:50
should you learn .NET & C# in 2026should you learn .NET & C# in 2026
The value of framework expertise as coding agents improve.
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Amichai Mantinband15:34
The Art of Winning in TechThe Art of Winning in Tech
Learning from experts, sharing work, and automating repetitive tasks.
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Sajjaad Khader11:30

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Business and technology conversations

CoverVideo and notesChannelDuration
"Hackean" BITCOIN, ESPAÑA es un ESTADO FALLIDO y el NEGOCIO de la TERCERA EDAD #149"Hackean" BITCOIN, ESPAÑA es un ESTADO FALLIDO y el NEGOCIO de la TERCERA EDAD #149
Bitcoin, business, economics, and current affairs. Episode 149.
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spicy4tuna2:01:42
El NEGOCIO de la MUERTE, Método TOYOTA y cómo CONSEGUIR TRABAJO sin CV #150El NEGOCIO de la MUERTE, Método TOYOTA y cómo CONSEGUIR TRABAJO sin CV #150
Business models, Toyota, entrepreneurship, and finding work. Episode 150.
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spicy4tuna2:10:10

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Course collections

Lessons follow the order in each collection. Open a course overview for its reading guide and topic map.

LLM evaluation course

Evidently AI’s course on datasets, evaluation methods, LLM judges, safety, RAG, agents, and production monitoring.

Open course overview · 13 lessons

CoverLesson and notesChannelDuration
Welcome to the LLM evaluation courseWelcome to the LLM evaluation course
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Evidently AI1:31
What is an LLM-powered product?What is an LLM-powered product?
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Evidently AI3:07
LLM evaluation benchmarksLLM evaluation benchmarks
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Evidently AI3:06
How to evaluate an LLM applicationHow to evaluate an LLM application
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Evidently AI5:59
LLM evaluation datasets: test cases and synthetic dataLLM evaluation datasets: test cases and synthetic data
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Evidently AI6:06
LLM evaluation methods and metricsLLM evaluation methods and metrics
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Evidently AI5:09
LLM-as-a-judge: evaluating LLMs with LLMsLLM-as-a-judge: evaluating LLMs with LLMs
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Evidently AI5:41
How to run LLM evals with no code | PRACTICEHow to run LLM evals with no code | PRACTICE
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Evidently AI12:27
LLM safety and red-teamingLLM safety and red-teaming
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Evidently AI5:11
LLM observability in production: tracing and online evalsLLM observability in production: tracing and online evals
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Evidently AI5:08
AI agent and RAG evaluationAI agent and RAG evaluation
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Evidently AI6:04
A business case for LLM evaluationsA business case for LLM evaluations
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Evidently AI4:05
How to continuously improve LLM products?How to continuously improve LLM products?
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Evidently AI2:33

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CMU intro to database systems

CMU Database Group’s Fall 2024 course on DBMS internals, storage, indexes, query execution, transactions, recovery, and distribution.

Open course overview · 26 lessons

CoverLesson and notesChannelDuration
#00 - Course Overview & Logistics (CMU Intro to Database Systems)#00 - Course Overview & Logistics (CMU Intro to Database Systems)
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CMU Database Group21:20
#01 - Relational Model & Algebra (CMU Intro to Database Systems)#01 - Relational Model & Algebra (CMU Intro to Database Systems)
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CMU Database Group1:23:38
#02 - Modern SQL (CMU Intro to Database Systems)#02 - Modern SQL (CMU Intro to Database Systems)
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CMU Database Group1:18:44
#03 - Database Storage: Files & Pages ✸ Neon Database Talk (CMU Intro to Database Systems)#03 - Database Storage: Files & Pages ✸ Neon Database Talk (CMU Intro to Database Systems)
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CMU Database Group1:22:27
#04 - Database Storage: Log-Structured Merge Trees & Tuples (CMU Intro to Database Systems)#04 - Database Storage: Log-Structured Merge Trees & Tuples (CMU Intro to Database Systems)
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CMU Database Group1:22:41
#05 - Row vs. Column Storage + Compression ✸ StarTree Database Talk (CMU Intro to Database Systems)#05 - Row vs. Column Storage + Compression ✸ StarTree Database Talk (CMU Intro to Database Systems)
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CMU Database Group1:28:00
#06 - Memory & Disk I/O Management (CMU Intro to Database Systems)#06 - Memory & Disk I/O Management (CMU Intro to Database Systems)
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CMU Database Group1:23:56
#07 - Hash Tables ✸ RelationalAI Database Talk (CMU Intro to Database Systems)#07 - Hash Tables ✸ RelationalAI Database Talk (CMU Intro to Database Systems)
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CMU Database Group1:23:43
#08 - Tree Indexes: B+Trees (CMU Intro to Database Systems)#08 - Tree Indexes: B+Trees (CMU Intro to Database Systems)
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CMU Database Group1:22:14
#09 - Vector Indexes, Inverted Indexes, Filters, Tries ✸ TiDB Talk (CMU Intro to Database Systems)#09 - Vector Indexes, Inverted Indexes, Filters, Tries ✸ TiDB Talk (CMU Intro to Database Systems)
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CMU Database Group1:21:10
#10 - Index Concurrency Control (CMU Intro to Database Systems)#10 - Index Concurrency Control (CMU Intro to Database Systems)
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CMU Database Group1:16:42
#11 - Sorting & Aggregation Algorithms ✸ dbt Database Talk (CMU Intro to Database Systems)#11 - Sorting & Aggregation Algorithms ✸ dbt Database Talk (CMU Intro to Database Systems)
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CMU Database Group1:17:56
#12 - Join Algorithms: Hash, Sort-Merge, Nested Loop Joins (CMU Intro to Database Systems)#12 - Join Algorithms: Hash, Sort-Merge, Nested Loop Joins (CMU Intro to Database Systems)
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CMU Database Group1:14:22
#13 - Query Execution Part 1 (CMU Intro to Database Systems)#13 - Query Execution Part 1 (CMU Intro to Database Systems)
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CMU Database Group1:23:19
#14 - Query Execution Part 2 ✸ ClickHouse Database Talk (CMU Intro to Database Systems)#14 - Query Execution Part 2 ✸ ClickHouse Database Talk (CMU Intro to Database Systems)
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CMU Database Group1:02:49
#15 - Query Planning & Optimization (CMU Intro to Database Systems)#15 - Query Planning & Optimization (CMU Intro to Database Systems)
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CMU Database Group1:21:18
#16 - Concurrency Control Theory ✸ Firebolt Database Talk (CMU Intro to Database Systems)#16 - Concurrency Control Theory ✸ Firebolt Database Talk (CMU Intro to Database Systems)
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CMU Database Group1:27:09
#17 - Two-Phase Locking Concurrency Control (CMU Intro to Database Systems)#17 - Two-Phase Locking Concurrency Control (CMU Intro to Database Systems)
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CMU Database Group1:05:22
#18 - Optimistic Concurrency Control ✸ Weaviate Database Talk (CMU Intro to Database Systems)#18 - Optimistic Concurrency Control ✸ Weaviate Database Talk (CMU Intro to Database Systems)
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CMU Database Group1:20:53
#19 - Multi-Version Concurrency Control (CMU Intro to Database Systems)#19 - Multi-Version Concurrency Control (CMU Intro to Database Systems)
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CMU Database Group1:27:07
#20 - Database Logging ✸ Confluent Database Talk (CMU Intro to Database Systems)#20 - Database Logging ✸ Confluent Database Talk (CMU Intro to Database Systems)
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CMU Database Group1:19:21
#21 - Database Recovery with ARIES (CMU Intro to Database Systems)#21 - Database Recovery with ARIES (CMU Intro to Database Systems)
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CMU Database Group1:12:55
#22 - Distributed Database Architectures ✸ DataStax Database Talk (CMU Intro to Database Systems)#22 - Distributed Database Architectures ✸ DataStax Database Talk (CMU Intro to Database Systems)
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CMU Database Group1:23:02
#23 - Distributed Transactional Databases (CMU Intro to Database Systems)#23 - Distributed Transactional Databases (CMU Intro to Database Systems)
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CMU Database Group1:24:53
#24 - Distributed Analytical Databases (CMU Intro to Database Systems)#24 - Distributed Analytical Databases (CMU Intro to Database Systems)
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CMU Database Group1:22:55
#25 - BigQuery + Snowflake + Redshift + Databricks + DuckDB (CMU Intro to Database Systems)#25 - BigQuery + Snowflake + Redshift + Databricks + DuckDB (CMU Intro to Database Systems)
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CMU Database Group1:25:57

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Harvard advanced algorithms

Harvard University’s COMPSCI 224 with Jelani Nelson, covering data structures, online and approximation algorithms, linear programming, flow, and streaming.

Open course overview · 24 lessons

CoverLesson and notesChannelDuration
Advanced Algorithms (COMPSCI 224), Lecture 1Advanced Algorithms (COMPSCI 224), Lecture 1
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Harvard University1:28:19
Advanced Algorithms (COMPSCI 224), Lecture 2Advanced Algorithms (COMPSCI 224), Lecture 2
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Harvard University1:25:39
Advanced Algorithms (COMPSCI 224), Lecture 3Advanced Algorithms (COMPSCI 224), Lecture 3
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Harvard University1:28:46
Advanced Algorithms (COMPSCI 224), Lecture 4Advanced Algorithms (COMPSCI 224), Lecture 4
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Harvard University1:27:51
Advanced Algorithms (COMPSCI 224), Lecture 5Advanced Algorithms (COMPSCI 224), Lecture 5
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Harvard University1:21:37
Advanced Algorithms (COMPSCI 224), Lecture 6Advanced Algorithms (COMPSCI 224), Lecture 6
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Harvard University1:23:46
Advanced Algorithms (COMPSCI 224), Lecture 7Advanced Algorithms (COMPSCI 224), Lecture 7
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Harvard University1:26:46
Advanced Algorithms (COMPSCI 224), Lecture 8Advanced Algorithms (COMPSCI 224), Lecture 8
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Harvard University1:24:06
Advanced Algorithms (COMPSCI 224), Lecture 9Advanced Algorithms (COMPSCI 224), Lecture 9
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Harvard University1:24:56
Advanced Algorithms (COMPSCI 224), Lecture 10Advanced Algorithms (COMPSCI 224), Lecture 10
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Harvard University1:24:33
Advanced Algorithms (COMPSCI 224), Lecture 11Advanced Algorithms (COMPSCI 224), Lecture 11
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Harvard University1:25:41
Advanced Algorithms (COMPSCI 224), Lecture 12Advanced Algorithms (COMPSCI 224), Lecture 12
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Harvard University1:25:04
Advanced Algorithms (COMPSCI 224), Lecture 13Advanced Algorithms (COMPSCI 224), Lecture 13
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Harvard University1:21:46
Advanced Algorithms (COMPSCI 224), Lecture 15Advanced Algorithms (COMPSCI 224), Lecture 15
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Harvard University1:26:13
Advanced Algorithms (COMPSCI 224), Lecture 16Advanced Algorithms (COMPSCI 224), Lecture 16
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Harvard University1:24:57
Advanced Algorithms (COMPSCI 224), Lecture 17Advanced Algorithms (COMPSCI 224), Lecture 17
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Harvard University1:26:44
Advanced Algorithms (COMPSCI 224), Lecture 18Advanced Algorithms (COMPSCI 224), Lecture 18
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Harvard University1:24:42
Advanced Algorithms (COMPSCI 224), Lecture 19Advanced Algorithms (COMPSCI 224), Lecture 19
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Harvard University1:21:33
Advanced Algorithms (COMPSCI 224), Lecture 20Advanced Algorithms (COMPSCI 224), Lecture 20
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Harvard University1:23:37
Advanced Algorithms (COMPSCI 224), Lecture 21Advanced Algorithms (COMPSCI 224), Lecture 21
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Harvard University1:27:09
Advanced Algorithms (COMPSCI 224), Lecture 22Advanced Algorithms (COMPSCI 224), Lecture 22
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Harvard University1:20:15
Advanced Algorithms (COMPSCI 224), Lecture 23Advanced Algorithms (COMPSCI 224), Lecture 23
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Harvard University1:26:46
Advanced Algorithms (COMPSCI 224), Lecture 25Advanced Algorithms (COMPSCI 224), Lecture 25
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Harvard University1:26:14
Advanced Algorithms (COMPSCI 224), Lecture 26Advanced Algorithms (COMPSCI 224), Lecture 26
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Harvard University1:25:02

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