Stanford University · YouTube
AI Luminaries
A curated collection of videos featuring top experts in artificial intelligence.
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00:00:00 What is Spring?
00:04:17 Project for Spring Series
00:09:11 Prerequisite and Tools required for Spring
00:14:07 IoC and DI
00:21:55 What is Spring Boot
00:34:00 DI using Spring Boot
00:47:23 Auto wire using Spring Boot
01:02:37 Spring without Boot
01:15:55 Spring xml config
01:25:47 Constructor and Setter Injection
01:41:26 Autowire in Spring
01:53:31 Need for Spring Boot MVC
02:01:45 Spring Boot Web
02:20:20 Spring MVC and Layers
02:37:25 Spring Web Http methods GET and PUT
02:58:15 Spring Web Update and DELETE
03:10:08 Spring Data JPA
03:20:53 Spring Data JPA and H2 Setup
03:30:12 Spring Data JPA with JPA Repository
03:41:13 Understanding react frontend
03:50:22 Project Setup with Model
04:02:21 loading data in H2
04:14:01 CORS Error in Spring Boot
04:19:24 Response Entity and GetByID
04:32:35 Add Product with Image
04:50:19 Fetching Image
04:57:15 Update and Delete
05:10:03 Search Feature
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Stanford University · YouTube
A curated collection of videos featuring top experts in artificial intelligence.
Stanford University · YouTube
-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…
Stanford University · YouTube
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…
Stanford University · YouTube
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…
Massachusetts Institute of Technology · YouTube
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabili…
Stanford University · YouTube
Explore the cutting-edge realm of Large Language Models (LLMs) with this expertly curated YouTube playlist. Featuring insights from industry leaders, educational content, and in-depth discussions, this selection highlights the latest advancements in LLM technology.