Top videos
🔥Purdue - Ai And Machine Learning Post Graduate Certificate Program - https://www.simplilearn.com/applied-ai-course?utm_campaign=DI_5nkW6h0M&utm_medium=DescriptionFirstFold&utm_source=Youtube
Today, we're diving into an exciting topic on how to make money using ChatGPT, an AI-powered tool that can help you earn passive income. If you're eager to start making money easily, keep watching!
In this video, we'll show you some of the best ways to make money with ChatGPT. This smart AI tool is changing how people make money online. It's free and easy to use, so you don't need special skills or money to get started. We’re in an exciting time for AI, and now is the perfect moment to take advantage of this opportunity.
We'll guide you through different ways to use ChatGPT, including making money on YouTube, blogging, freelancing, creating digital products, and affiliate marketing. You'll learn how to create engaging YouTube videos, write great blog posts, take on freelance jobs, develop and sell digital products, and drive sales with affiliate marketing, all with ChatGPT's help.
Below are the topics covered in this Tips & Tricks To Make Money Using ChatGPT video :-
00:00 - How to earn money with chatgpt
02:02 Ways to earn money with chatgpt demo
02:13 Get Business ideas from chatgpt
04:43 Freelancing ideas
05:53 build software
09:17 Email Marketing
12:55 Affiliate Marketing
16:13 Content Creation
1. How can I use ChatGPT to create content for my YouTube channel?
Answer: Use ChatGPT to generate video scripts, ideas, and respond to comments. Input your topic, and ChatGPT provides a well-structured script, saving you time on research and writing, allowing you to focus on production and editing.
2. What are the benefits of using ChatGPT for blogging and content creation?
Answer: ChatGPT streamlines your blogging process by providing content ideas, drafting posts, and optimizing for SEO. This helps you maintain a consistent posting schedule, attract more readers, and increase monetization opportunities.
3. Can ChatGPT help me with freelancing opportunities, and if so, how?
Answer: Yes, ChatGPT assists in writing articles, creating marketing copy, drafting emails, and customer support. It helps you deliver high-quality work efficiently, expanding your freelancing opportunities and income potential.
✅Subscribe to our Channel to learn more about the top Technologies: https://youtube.com/@Simplilea....rnOfficial?si=C_aAoj
#ChatgPT #chatgpt4o #ArtificialIntelligence #MachineLearning #2024 #Simplilearn
➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Skills Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…
👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=28June24CHatgptToMakMoney&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=28June24CHatgptToMakMoney&utm_medium=Description&utm_source=youtube
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=27April24MasterThePerfectChatGPTFormula&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In AI And Machine Learning (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=27April24MasterThePerfectChatGPTFormula&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=27April24MasterThePerfectChatGPTFormula&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=27April24MasterThePerfectChatGPTFormula&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥 Professional Certificate Program In Generative AI And Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=27April24MasterThePerfectChatGPTFormula&utm_medium=DescriptionFirstFold&utm_source=youtube
Welcome to the Tutorial on Prompt Library, your comprehensive toolkit for mastering myriad use cases with ease. Whether you're delving into programming, honing creative writing skills, or exploring data analysis, this library offers a versatile array of prompts tailored to your needs. Seamlessly designed to inspire, instruct, and elevate your learning experience, each prompt is crafted with precision to ignite creativity and foster skill development. Join in as we deep dive into this tutorial
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_
#PromptEngineeringTutorialForBeginners #WhatIsPromptEngineering #IntroductionToPromptEngineering #PromptEngineering #PromptEngineeringIntroduction #PromptEngineeringChatGPT #PromptEngineeringTutorial #AIML #MachineLearning #ML #ArtificialIntelligence #AI #Simplilearn
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=27April24MasterThePerfectChatGPTFormula&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=27April24MasterThePerfectChatGPTFormula&utm_medium=Description&utm_source=youtube
Become better at machine learning in 5 min/ week 👉🏻 https://borismeinardus.substack.com/
In this video, I share how I would learn Machine Learning in 2024 if I could start over.
For the past 3 years, I have been studying machine learning (and 2 years before that basic computer science), which has now led me to work with an amazing ex-Meta professor, collaborate with Google DeepMind researchers, and have interviews at amazing companies.
Having learned from all of my failures and successes, this video breaks down how I would learn machine learning all over again, focusing on the essentials and learning from the best resources.
Enjoy!
👉🏻 Book a one-on-one call
https://calendly.com/boris-meinardus/consulting
👇🏻 Links to resources 👇🏻
==== Maths ====
https://www.edx.org/learn/prob....ability/harvard-univ
https://www.edx.org/learn/line....ar-algebra/the-unive
https://www.coursera.org/learn/matrix-algebra-engineers?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeNXFjUFXWo0&irgwc=1
==== ML/ DL ====
https://www.coursera.org/speci....alizations/machine-l
https://www.youtube.com/playli....st?list=PLAqhIrjkxbu
https://www.coursera.org/specializations/deep-learning?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeu01jUFXWo0&irgwc=1#courses
https://huggingface.co/learn/nlp-course/chapter1/1
⬇️ Follow me on my other socials and feel free to DM questions! ⬇️
⚫⚪ Medium: https://medium.com/@boris.meinardus
🐦 Twitter: https://twitter.com/BorisMeinardus
================== Timestamps ================
00:00 - Intro
00:40 - Python
01:29 - Maths
02:47 - ML Developer Stack
04:00 - Learn Machine Learning
06:06 - How To Really Get Good
=============================================
#ai #learning #machinelearning
El Machine Learning y el Deep Learning son clave para la evolución de la Inteligencia Artificial porque permiten que las máquinas puedan aprender y mejorar por sí mismas, logrando que estas máquinas puedan hacer tareas complejas y resolver problemas de manera autónoma. Pero, ¿qué es Machine Learning y Deep Learning exactamente? Te lo explicaremos en este nuevo video de EDteam.
Y si no lo sabías #LoAprendisteEnEDteam
🎉 ¡CURSOS NUEVOS DE LA SEMANA!
1. Curso: Android desde cero https://edy.to/android-yt
2. Curso: Desarrollo de apps con Vue 3 y TypeScript (Pre-venta) https://edy.to/vue-typescript-yt
Si quieres que EDteam de una conferencia gratis en tu institución, contáctanos aquí 👉 https://ed.team/conferencias
💻 Cursos recomendados:
- Carrera: Machine Learning e Inteligencia Artificial https://ed.team/especialidades/machine-learning
- Curso: Introducción al Machine Learning https://edy.to/ML-yt
- Curso: Introducción a las redes neuronales artificiales https://edy.to/redes-neuronales-yt
- Curso: Redes neuronales con TensorFlow https://edy.to/tensorflow-yt
📺 Videos recomendados
- ¿Qué es la Inteligencia Artificial y cómo está cambiando al mundo? https://www.youtube.com/watch?v=98-SzelNMzU
- ¿Qué es el Big Data? https://www.youtube.com/watch?v=M26iIqmqWkI&t=6s
- ¡Los peores errores de programación de la historia! https://www.youtube.com/watch?v=qi9nFs2caj4
⌚ Timeline:
00:00 - Introducción
00:59 - Que es Machine Learning
04:50 - Tipos de MAchine Learning
08:00 - Las Redes Neuronales
11:40 - El Deep Learning
- 🧑🎓👩🎓 ¿Eres estudiante? Postula a las becas de EDteam: https://edy.to/estudiantes-yt
- 🎁 ¡Accede a 9 cursos GRATIS de tecnología! https://edy.to/cursos-gratis-yt
- 🧑🏫 Dicta un curso en EDteam: https://edy.to/profesores-yt
- ⭐ Sube a premium y accede a cientos de cursos: https://edy.to/premium-yt
- 💻 Mira todos nuestros cursos en: https://edy.to/cursos-yt
-----
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In this video, we see two math problems that require the exact same logic to solve. However, one is very easy and one is very hard. Why?
For information on my book "Grokking Machine Learning":
https://www.manning.com/books/....grokking-machine-lea
Discount code (40%): serranoyt
This video is about the Fast Fourier Transform.
This is the third in a series of videos about Fourier transforms.
- First video: The Discrete Fourier Transform https://www.youtube.com/watch?v=T8XZxR5H04E
- Second video: Detecting Periodicity with the DFT https://youtu.be/bk9VGJNzQM0
- Third video: The Fast Fourier Transform (this one)
Grokking Machine Learning Book:
https://www.manning.com/books/....grokking-machine-lea
40% discount promo code: serranoyt
00:00 Introduction
00:27 The Discrete Fourier Transform
03:01 The Fast Fourier Transform
07:28 The Butterfly
Correction (10:26). The probabilities are wrong. The correct ones are here:
For Die 1: 0.4^4 * 0.2^2 * 0.1^1 * 0.1^1 * 0.2^2
For Die 2: 0.4^4 * 0.1^2 * 0.2^1 * 0.2^1 * 0.1^2
For Die 3: 0.1^4 * 0.2^2 * 0.4^1 * 0.2^1 * 0.1^2
Kullback Leibler (KL) divergence is a way to measure how far apart two distributions are.
In this video, we learn KL-divergence in a simple way, using a probability game with dice.
Shannon entropy and information gain: https://www.youtube.com/watch?v=9r7FIXEAGvs&t=1066s&pp=ygUic2hhbm5vbiBlbnRyb3B5IGluZm9ybWF0aW9uIHRoZW9yeQ%3D%3D
Grokking Machine Learning book: www.manning.com/books/grokking-machine-learning
40% discount code: serranoyt
Build Your First AI Agent In 15 Minutes (No Coding). Join our FREE community with all our prompts: https://www.skool.com/ai-launchpad/about
Chatling (FREE Trial): https://chatling.ai/
Chapters:
0:00 - Intro
1:47 - Setup Chatling
2:45 - Configure your agent
5:00 - Add knowledge base + data sources
6:49 - Configure actions
11:28 - Testing in playground
13:40 - Deploy to website
15:55 - Deploy to instagram
17:16 - Outro
For business inquiries including sponsorships and collaborations, please email:
[email protected]
Improve your AI skills with the FREE Prompting QuickStart Guide I made in collaboration with Hubspot: https://clickhubspot.com/1gg9
Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp
🤝 Business Inquiries: https://tally.so/r/mRDV99
🖱️Links mentioned in video
========================
A few notebooks to try out from crewAI & Autogen that are easy to follow and get started. All credit goes to these companies and Deep Learning AI. Please make a copy:
https://drive.google.com/file/....d/1mtv-gdKV9HMsGvGIq
https://drive.google.com/file/....d/1u9gGPqWSJ4_Pa_cLN
https://drive.google.com/file/....d/1T07WHydxBN-T-kcgi
https://drive.google.com/file/....d/1vPWpYvcHPROMC3BOE
Resources I consulted in making this video:
crewAI course: https://www.deeplearning.ai/sh....ort-courses/multi-ai
Autogen course: https://www.deeplearning.ai/sh....ort-courses/ai-agent
LangGraph course: https://www.deeplearning.ai/sh....ort-courses/ai-agent
David Ondrej n8n tutorial: https://youtu.be/XVO3zsHdvio?si=AQcMnYn8kJOogqLr
Andrew Ng Snowflake agentic design patterns: https://youtu.be/KrRD7r7y7NY?si=tFtd6wJKB6idtfKb
Andrew Ng Sequoia agentic design patterns: https://youtu.be/sal78ACtGTc?si=2i8Wyy57n8m6TbBK
YC business advice: https://youtu.be/ASABxNenD_U?si=k19a310Tj3USuKNe
🐙 Lonely Octopus: https://www.lonelyoctopus.com/
Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects!
🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie
365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)
Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina
🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk
⏰Timestamps
========================
00:00 — Intro
00:38 — Video overview
01:13 — AI agents definition
03:45 — Agentic design patterns
09:24 — Multi-agent design patterns
17:04 — Building a no code agent in n8n
19:46 — Ways to use AI agents
21:05 — Quiz
📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX
🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk
How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s
🐈⬛🐈⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!
📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]
========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
Check out HubSpot’s AI Agents Unleashed: Playbook for 2025 Success - https://clickhubspot.com/23bc50
🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp
I tested every no-code AI agent builder so you don’t have to.
From StackAI and Relevance AI to n8n, Flowise, Lindy, and Dify, this video breaks down the best platforms to create AI agents — without writing a single line of code.
You’ll learn:
⚙️ The core features and ideal use cases of each builder
🧩 How each platform handles automation, API integration, and LLM workflows
📈 When to use visual tools vs workflow orchestrators
💡 The difference between automations and dynamic agents — and why it matters
🚀 The easiest way to go from idea → AI agent → deployed product
We’ll explore:
StackAI for general-purpose agents and API publishing
Relevance AI for scalable workflows
n8n for powerful orchestration & branching logic
Flowise / Langflow for open-source prompt engineering
Dify and Lindy for hybrid and business automation
Botpress, Bubble, Make, MindStudio, and more
By the end, you’ll know exactly which no-code agent builder fits your workflow.
🤝 Business Inquiries: https://tally.so/r/mRDV99
🔗 Tools & Resources Mentioned
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie
365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)
Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina
🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk
📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
tiktok: https://www.tiktok.com/@hellotinahuang
discord: https://discord.gg/5mMAtprshX
🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk
How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s
🐈⬛🐈⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!
📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]
========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
🧪AI Agents Labs for Free: https://kode.wiki/3Wh4DZ6
Learn everything about AI agents from scratch in this comprehensive tutorial. No prior knowledge required. We'll take you from zero to building production-ready AI systems with hands-on labs.
🎯 What You'll Learn:
• AI Fundamentals - LLMs, tokens, embeddings, and context windows
• LangChain - Simplify AI development with pre-built components
• Prompt Engineering - Zero-shot, few-shot, and chain-of-thought techniques
• Vector Databases - Semantic search with ChromaDB and Pinecone
• RAG (Retrieval Augmented Generation) - Build intelligent document search
• LangGraph - Create multi-step AI workflows and agents
• MCP (Model Context Protocol) - Connect AI to external tools
🔧 Hands-On Labs Include:
✓ Making your first OpenAI API calls
✓ Building semantic search engines
✓ Creating RAG systems for document retrieval
✓ Developing multi-agent workflows
✓ Integrating external tools with MCP
Perfect for developers, data scientists, and anyone wanting to understand modern AI development. Follow along with free labs and build a real-world AI assistant that searches 500GB of documents in under 30 seconds.
🚨Start Your AI Journey with KodeKloud: https://kode.wiki/4qsrspX
⏰ TIMESTAMPS:
00:00 - Introduction to AI Agents
00:40 - How LLMs work in real time?
04:56 - Embeddings & Vector Representations
05:56 - How LangChain works?
10:12 - Practice Labs - Your First AI API Call
14:57 - Practice Labs - LangChain
17:57 - Prompt Engineering Techniques
21:21 - Practice Labs - Master Prompt Engineering
24:46 - Vector Databases Deep Dive
31:27 - Practice Labs - Build Semantic Search Engine
35:15 - RAG (Retrieval Augmented Generation)
38:14 - Practice Labs - RAG Implementation
42:14 - LangGraph for AI Workflows
45:51 - Practice Labs - Build Stateful AI Workflow
48:51 - Model Context Protocol (MCP)
51:56 - Practice Labs - Advanced MCP Concepts
55:21 - Conclusion
🔔 Subscribe to KodeKloud for more AI development tools and tutorials!
#AiAgents #AI #Aifundamentals #LangChain #MCP #LLMs #RAG #Langgraph #vectordb #promptengineering #VectorDatabases #Tutorial #kodekloud
🤖 Confused about AI agents and agentic AI? This video clears it up! AI agents are specific applications solving multi-step problems independently, while agentic AI is the entire research field making these agents possible. Think of AI agents as specific medicines and agentic AI as pharmaceutical science. Today's AI agents aren't AGI yet—they're specialized tools for specific purposes. Understanding these developments is essential as increasingly sophisticated agents emerge to automate various tasks. 🔍💡
#AIAgents #AgenticAI #ArtificialIntelligence #FutureTech #BusinessTechnology #AGI #TechTrends
MIT How to Speak, IAP 2018
Instructor: Patrick Winston
View the complete course: https://ocw.mit.edu/how_to_speak
Patrick Winston's How to Speak talk has been an MIT tradition for over 40 years. Offered every January, the talk is intended to improve your public speaking ability in critical situations by teaching you a few heuristic rules.
0:16 Introduction
3:11 Rules of Engagement
4:15 How to Start
5:38 Four Sample Heuristics
10:17 The Tools: Time and Place
13:24 The Tools: Boards, Props, and Slides
36:30 Informing: Promise, Inspiration, How To Think
41:30 Persuading: Oral Exams, Job Talks, Getting Famous
53:06 How to Stop: Final Slide, Final Words
56:35 Final Words: Joke, Thank You, Examples
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility.
The traditional Chinese captions courtesy of 高嘉宏. Used with permission. The captions are reviewed and edited by MIT OpenCourseWare. The simplified Chinese captions are by MIT OpenCourseWare.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
MIT 14.02 Principles of Macroeconomics, Spring 2023
Instructor: Ricardo J. Caballero
View the complete course: https://ocw.mit.edu/courses/14....-02-principles-of-ma
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6
This lecture covers an introduction to the topic of macroeconomics, which is the study of the behavior of an economy as a whole. The instructor also talks about the objectives of the course.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
Lecture 2: Science and Research
Instructor: John Gabrieli
View the complete course: http://ocw.mit.edu/9-00SCS11
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6
Continues discussion of natural language processing with a focus on embeddings, including stand-alone and contextual embeddings.
License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
