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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
January 9, 2026
This lecture covers:
• How the ongoing integration of LLMs into our social worlds is creating new risks and opportunities
• Best practices for designing rehabilitative bots
To follow along with the seminar schedule, visit: https://hci.stanford.edu/
Jeremy Foote is an Assistant Professor in the Brian Lamb School of Communication at Purdue University and a faculty member in the Community Data Science Collective.
Is it ever too late to expand your knowledge of computer science and AI? Mehran Sahami, Professor and Chair of the Computer Science Department at Stanford University, addresses this and other questions as he shares his expertise.
Learn about Code in Place:
https://codeinplace.stanford.edu/
Learn about our Artificial Intelligence Courses and Programs:
https://online.stanford.edu/ar....tificial-intelligenc
Learn about our Computer Science & Security Programs:
https://online.stanford.edu/co....mputer-science-secur
MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
** New 2025 Edition **
For all lectures, slides, and lab materials: http://introtodeeplearning.com
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
This video introduces the syllabus and organization of the "Introduction to Deep Learning and Generative Modeling" course.
Link to the slides: https://sebastianraschka.com/p....df/lecture-notes/sta
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This video is part of my Introduction of Deep Learning course.
Next video: https://youtu.be/6VbtJ9nn5ng
The complete playlist: https://www.youtube.com/playli....st?list=PLTKMiZHVd_2
A handy overview page with links to the materials: https://sebastianraschka.com/b....log/2021/dl-course.h
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If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka
https://github.com/aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning - aamini/introtodeeplearning
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In this video, we'll go through data preprocessing steps for 3 different datasets. We'll also go in depth on a dimensionality reduction technique called Principal Component Analysis.
Coding challenge for this video:
https://github.com/llSourcell/....How_to_Make_Data_Ama
Charles-David's Winning Code:
https://github.com/alkaya/earthquake-cotw
Siby Jack Grove's Runner-up code:
https://github.com/sibyjackgro....ve/Earthquake_predic
Please subscribe. And like. And comment. That's what keeps me going.
More Learning Resources:
http://www.cs.ccsu.edu/~markov..../ccsu_courses/datami
http://www.slideshare.net/jaso....nrodrigues/data-prep
http://iasri.res.in/ebook/win_....school_aa/notes/Data
http://staffwww.itn.liu.se/~ai....dvi/courses/06/dm/le
http://ufldl.stanford.edu/wiki..../index.php/Data_Prep
http://machinelearningmastery.....com/how-to-prepare-d
https://plot.ly/ipython-notebo....oks/principal-compon
Public datasets:
https://github.com/caesar0301/....awesome-public-datas
https://aws.amazon.com/public-datasets/
http://archive.ics.uci.edu/ml/index.html
https://dreamtolearn.com/ryan/1001_datasets
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Prepare for the course
What makes a system-support machine learning model development? Find out how to transit yourself into the machine learning engineering domain, with Chi Wang, the co-author of the book 📖 Engineering Deep Learning Systems 📖
This video is an excerpt from "What Developers Need to Know to Design Machine Learning Systems" - a live-streaming session by Chi Wang. To watch the full video, visit http://mng.bz/BZr8.
📚📚📚
Engineering Deep Learning Systems | http://mng.bz/lR58
To save 40% off this book use discount code: watchchiwang40
📚📚📚
About the book:
"Engineering Deep Learning Systems" teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you’ll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. You’ll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.
🔵 Intellipaat Data Engineering course: https://intellipaat.com/pgp-da....ta-engineering-mit-j
In this Data Engineering Course, you will learn what is Data Engineering, How to Become a Data Engineer, Why Data Engineering is important, What is Big Data Engineering, the Importance of Big Data, the Difference between Data Engineer and Data Scientist, Big Data Engineering, What is Hadoop, Apache Spark Tutorial, AWS Elastic Map Reduce Tutorial, Azure Data Factory Tutorial, Data Engineering Career Roadmap and lot more. This Data Engineer Full Course will help you to understand Data Engineering from scratch.
#DataEngineeringCourse #DataEngineer #DataEngineeringTraining #DataEngineeringFullCourse #BestDataEngineeringCourse #DataEngineerCourse #FreeDataEngineerCourse #Intellipaat
🔵 Following topics are covered in this session:
00:00 - Introduction to Data Engineer
1:50:08 - What is Spark?
2:18:02 - Spark's Mllib
3:19:45 - Spark-Hive Integration
3:37:57 - Configuration Options
3:49:35 - What is AWS?
4:46:57 - Azure Data Factory
5:01:30 - Integration Runtime in Azure Data Factory
7:09:55 - Data Engineer Career Path
7:19:22 - Top 50 Data Engineer Interview Questions
🔵 Why Data Engineering is important?
Data engineering helps make data more useful and accessible for consumers of data. To do so, Data engineering must source, transform and analyze data from each system. For example, data stored in a relational database is managed as tables, like a Microsoft Excel spreadsheet. Each table contains many rows, and all rows have the same columns. A given piece of information, such as a customer order, may be stored across dozens of tables.
🔵 Why should you opt for a Data Engineering career?
Data engineers must have specialized skills in creating software solutions around data. At the same time, it’s perhaps unrealistically expected that Data Engineers will be familiar with a breadth of tools and technologies – anywhere from 10 to 30 of them. And these tools are constantly changing.
🔵 Do subscribe to Intellipaat channel & get regular updates on videos: http://bit.ly/Intellipaat
🔵 For more information: Call Our Course Advisors IND: +91-7022374614 US: 1-800-216-8930 (Toll-Free)
Website: https://intellipaat.com/pgp-da....ta-engineering-mit-j
Not only have I built hundreds of AI agents myself, I've seen other people build thousands of AI agents for every use case under the sun. The people who are the most successful are the ones who don't overcomplicate it - and I want that to be you too.
It's easy to think building AI agents is super complicated, but honestly you can learn 90% of what you need to know (and what to focus on) from this video. No matter how you're building your agents, I'll show you here what you need to think about, and more importantly what you shouldn't worry about when you're first creating your agent.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Platforms mentioned in this video (most are open source!):
- Synk for automated AI-native app security:
https://snyk.plug.dev/xgmYQhO
- Guardrails AI for agent guardrails:
https://github.com/guardrails-ai/guardrails
- Pydantic AI for the AI Agent framework:
https://ai.pydantic.dev/
- Mem0 for long term memory:
https://mem0.ai
- Langfuse for agent observability:
https://langfuse.com/
- Docker for deployment:
https://www.docker.com/
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- If you want to master AI coding assistants and learn how to build systems for reliable and repeatable results, check out the new Agentic Coding Course in Dynamous:
https://dynamous.ai/agentic-coding-course
- Here is the repo for the super simple AI Agent we built in this video:
https://github.com/coleam00/ot....tomator-agents/tree/
- Here is the system prompt template I covered:
https://docs.google.com/docume....nt/d/1-OB4ZMg20pIRVm
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Thanks to Snyk for working with me on the security portion of this video! It's been a pleasure and I really do believe Snyk is on the forefront of software/agent/AI coding security especially with their new MCP server:
https://docs.snyk.io/integrati....ons/snyk-studio-agen
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
00:00 - Master the First 90% of Building AI Agents
01:38 - The 4 Core Components of AI Agents
03:06 - The First 3 Steps of Building an Agent
04:09 - Building a Basic AI Agent Together Live
09:17 - Choosing Your LLM
10:34 - Crafting Your System Prompt
12:20 - Creating Your Tools (Agent Capabilities)
14:26 - AI Agent Security
15:32 - Guardrails AI
16:45 - Snyk MCP Server
19:45 - Managing Agent Context (Memory)
22:05 - Mem0 for Long Term Agent Memory
23:53 - Agent Observability (with Langfuse)
26:28 - Agent Deployment (with Docker)
28:41 - Final Thoughts
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!
Best Oldies Songs - All Time Favorite Hits Songs (Lyrics)
https://youtu.be/s5wLwqnLbd8
🎵 PLAYLIST :
00:00.All Out Of Love
03:42.Stuck On You
07:00.That's What Friends Are For
11:27.Nothing's Gonna Change My Love For You
14:42.How Deep Is Your Love
19:08.Through The Years
23:20.Maybe This Time
26:36.Never Thought That I Could Love
29:54.Wonderful Tonight
34:11.Having You Near Me
38:00.In Your Eyes
41:30.Nothing's Gonna Stop Us Now
46:00.Will of the wind
49:44.Just Once
54:16.Ocean Deep
59:16.If Ever You're In My Arms Again
01:03:05. The Past
01:06:33.Here I Am
01:10:15.Got to believe in magic
01:13:43.Beautiful in My Eyes
✐ None of these images, music & video clips were created/owned by us.
✐ This video is purely fan-made, if you (owners) want to remove this video, please CONTACT US DIRECTLY before doing anything. We will respectfully remove it
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🎵 If this music makes you happy, like it, subscribe and share this mix on social pages (Facebook, Reddit, Twitter, etc.) so that more people can listen together give me! 🎵
👉Facebook : https://www.facebook.com/Love-....Music-11309118470414
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Artist Name - Viniick
Video - MV Edits
Thumbnail - SM Creation
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#viniickmusic #arijitsingh #mashups #trending
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As per the 3rd Section of Fair Use guidelines Borrowing small bits of material from an original work is more likely to be considered fair use. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for fair use
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Karan Aujla - On Top (Official Video)
After huge success of "Sheesha" Karan Aujla Presents Official Video of "ON TOP" New Punjabi Song by Karan Aujla. Music is given by Yeah Proof. Video Directed by Qarn Mallhi.
Song - On Top
Singer/Lyrics/Composer - Karan Aujla
Music - Yeah Proof
Video - Qarn Mallhi
Connect with Karan Aujla:
Subscribe: @KaranAujlaOfficial
Instagram: https://www.instagram.com/karanaujla_official/
TikTok: https://www.tiktok.com/@aslikaranaujla?
Spotify: https://open.spotify.com/artis....t/6DARBhWbfcS9E4yJzc
#karanaujla #ontop
Listen ON TOP on Apple Music - https://music.apple.com/ca/alb....um/on-top-single/165
Listen ON TOP on Spotify - https://open.spotify.com/album..../3F9ZTXMumebU1qkltpE
Listen ON TOP on Amazon Prime Music - https://music.amazon.ca/albums/B0BN12T9QJ
Listen ON TOP on Saavn - https://www.jiosaavn.com/album/on-top/pG54YAE4xFg_
Listen ON TOP on Resso - https://m.resso.com/Zs81GkWxk/
Listen ON TOP on Wynk - https://wynk.in/music/song/on-....top/pc_5059950896060
Digital & Promotions Strategies - LA Music Promotions Co
https://www.instagram.com/lamusicpromotionsco/
Karan Aujla ©