🔥 Post Graduate Program In Business Analysis: https://www.simplilearn.com/pgp-business-analysis-certification-training-course?utm_campaign=18Feb2024ChatGPTMadeThisExcelDashboard&utm_medium=DescriptionFF&utm_source=youtube
🔥Business Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/business-analyst-certification-training-course?utm_campaign=18Feb2024ChatGPTMadeThisExcelDashboard&utm_medium=DescriptionFF&utm_source=youtube

Dashboard in Excel - https://www.youtube.com/watch?v=QyNo__lufoU

This video by simplilearn in ChatGPT Made This Excel Dashboard help you in building an Interactive Sales Analysis Dashboard with Slicers. Welcome to our latest Excel tutorial! In this video, we'll guide you through the process of creating a dynamic and visually appealing sales analysis dashboard using Excel. Whether you're a marketing analyst, business professional, or anyone looking to elevate their data presentation skills, this tutorial is tailored just for you.

📊 What You'll Learn:

How to set up a pivot table for sales data.
Creating compelling charts to represent month-on-month sales, county-wise sales, region-wise sales, and more.
Adding slicers for easy and interactive data filtering.
Enhancing the dashboard's aesthetics and functionality.
🔍 Key Features:

Understand the importance of pivot tables for data summarization.
Learn the step-by-step process of creating various charts to analyze different aspects of sales data.
Implement slicers to allow effortless filtering and exploration of your data.
Tips for formatting and designing a professional-looking dashboard.
🛠️ Tools Used:

Microsoft Excel
📈 Who Should Watch:

Marketing Analysts
Business Professionals
Data Enthusiasts
Anyone wanting to master Excel for data analysis and visualization
📚 Resource Links:

Link to relevant marketing strategies
🕒 Timestamps:

00:00 Introduction
01:12 Setting up Pivot Tables
03:45 Creating Charts for Sales Analysis
06:20 Adding Slicers for Interactivity
08:45 Dashboard Formatting Tips

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#ExcelDashboard #ExcelForBEginners #ExcelDashboardTutorial #ExcelTutoring #ExcelTraining #HowToMakeDashboardInExcel #2024 #Simplilearn

➡️ About Post Graduate Program In Business Analysis
This Post Graduate Program in Business Analysis is for professionals looking to pursue a Business Analysis career, understand business analysis techniques, get hands-on experience, and for experienced analysts looking to learn the latest tools and frameworks used by Agile teams.

✅ Key Features
- Certificate from Simplilearn in collaboration with Purdue University
- Become eligible to be part of the Purdue University Alumni Association
- Master Classes delivered by Purdue faculty
- Earn 35 PDs/CDUs post completion of the CBAP® module
- Harvard Business Publishing case studies of Pearson, CarMax, EvCard, etc.
- Capstone from 3 domains and 14+ projects
- Simplilearn Career Service helps you get noticed by top hiring companies
- Get mentored and network with Business Analyst from Amazon, Microsoft, and Google

✅ Skills Covered
- Business Analysis
- Elicitation and Collaboration
- BRD FRD and SRS Document Creation
- Requirements Analysis
- Planning and Monitoring
- Requirements Life Cycle Management
- Strategy Analysis
- Wireframing
- Solution Evaluation
- Dashboarding
- Data Visualization
- Agile scrum methodology
- Scrum Artifacts
- Statistical Analysis using Excel
- SQL Database
- Python
- Data analysis
- Digital Transformation

👉 Learn More At: https://www.simplilearn.com/pgp-business-analysis-certification-training-course?utm_campaign=18Feb2024ChatGPTMadeThisExcelDashboard&utm_medium=Description&utm_source=youtube

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=18Feb2024ChatGPTMadeThisExcelDashboard&utm_medium=Description&utm_source=youtube

Qual a diferença entre Inteligência Artificial, Machine Learning e Deep Learning?

Neste vídeo trato das diferenças que existem entre as tecnologias de Inteligência Artificial, Aprendizado de Máquina e Aprendizado Profundo, além de abordar as aplicações de cada tecnologia.

Leia também: O que é Machine Learning? http://www.bosontreinamentos.c....om.br/inteligencia-a

Ajude o canal adquirindo meus cursos na Udemy:
Bancos de Dados com MySQL Básico: https://bit.ly/35QdWE4
Lógica de Programação com Português Estruturado: https://bit.ly/3QKPn22
Programação em Python do Zero: https://bit.ly/python-boson

Adquira também livros e outros itens na loja da Bóson Treinamentos na Amazon e ajude o canal a se manter e crescer:
https://www.amazon.com.br/shop/bosontreinamentos

Seja membro deste canal e ganhe benefícios:
https://www.youtube.com/channe....l/UCzOGJclZQvPVgYZIw

Contribua com a Bóson Treinamentos!:
http://www.bosontreinamentos.com.br/contribuir/

Por Fábio dos Reis
Bóson Treinamentos: http://www.bosontreinamentos.com.br
Instagram: https://www.instagram.com/bosontreinamentos/
Linkedin: https://www.linkedin.com/in/f%....C3%A1bio-dos-reis-06
Quora: pt.quora.com/profile/Fábio-dos-Reis
Pinterest: https://br.pinterest.com/bosontreina/

Outros projetos do autor:
Diário do Naturalista: http://www.diariodonaturalista.com.br
Bóson Ciências e Cultura: https://www.youtube.com/bosonciencias
Numismática e Finanças Pessoais: https://www.diarionumismatico.com.br

#bosontreinamentos #inteligenciaartificial #machinelearning

In this video you will learn about three very common methods for data dimensionality reduction: PCA, t-SNE and UMAP. These are especially useful when you want to visualise the latent space of an autoencoder.

If you want to learn more about these techniques, here are some key papers:
- UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction https://arxiv.org/abs/1802.03426
- Stochastic Neighbor Embedding https://papers.nips.cc/paper_f....iles/paper/2002/hash
- Visualizing Data using t-SNE https://www.jmlr.org/papers/vo....lume9/vandermaaten08

And if you want to learn about even more recent techniques such as TriMAP and PACMAP, here are the papers:
- TriMap: Large-scale Dimensionality Reduction Using Triplets https://arxiv.org/abs/1910.00204
- PaCMAP https://arxiv.org/abs/2012.04456

Chapters:
00:36 PCA
05:15 t-SNE
13:30 UMAP
18:02 Conclusion

This video features animations created with Manim, inspired by Grant Sanderson's work at @3blue1brown. Here is the code that I used to make this video: https://github.com/ytdeepia/La....tent-Space-Visualisa

If you enjoyed the content, please like, comment, and subscribe to support the channel!


#DeepLearning #PCA #ArtificialIntelligence #tsne #DataScience #LatentSpace #Manim #Tutorial #machinelearning #education #somepi

So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving cars, to cutting edge medical diagnosis and real-time language translation, there has been an increasing need for our computers to learn from data and apply that knowledge to make predictions and decisions. This is the heart of machine learning which sits inside the more ambitious goal of artificial intelligence. We may be a long way from self-aware computers that think just like us, but with advancements in deep learning and artificial neural networks our computers are becoming more powerful than ever.

Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios

Want to know more about Carrie Anne?
https://about.me/carrieannephilbin

The Latest from PBS Digital Studios: https://www.youtube.com/playli....st?list=PL1mtdjDVOoO

Want to find Crash Course elsewhere on the internet?
Facebook - https://www.facebook.com/YouTubeCrash...
Twitter - http://www.twitter.com/TheCrashCourse
Tumblr - http://thecrashcourse.tumblr.com
Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids

🔥 PMP Certification Training Course: https://www.edureka.co/pmp-cer....tification-exam-trai
🔥 PRINCE2® Foundation & Practitioner Certification Course: https://www.edureka.co/prince2....-foundation-and-prac

In this video, on *PMP vs PRINCE2* , we will dive deep into the project management certifications by comparing two of the most sought-after credentials: *PMP* (Project Management Professional) and *PRINCE2* (Projects IN Controlled Environments). If you're considering advancing your career in project management, understanding the differences between *PMP vs PRINCE2* is essential. We’ll explore the key differences between these certifications, including their frameworks, benefits, and how they fit into different project management methodologies. Additionally, we will cover the exam details and eligibility criteria for both certifications. Whether you’re a seasoned project manager or just starting your career, this video will help you understand which certification is right for you.

✅ 00:00 - PMP vs PRINCE2
✅ 01:41 - What is a PMP Certification?
✅ 02:10 - What is a PRINCE2 Certification?
✅ 02:39 - Key Differences Between PMP vs. PRINCE2 Certifications
✅ 07:52 - What is the cost of PMP Certification?
✅ 08:15 - What is the cost of PRINCE2 Certification?
✅ 08:38 - Purchase Option for Preparing for the PRINCE2 Exam in India
✅ 09:39 - Benefits of PMP Certification
✅ 10:37 - Benefits of PRINCE2 Certification

✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

- - - - - - - - - - - - - -

What is a PMP certification?

A PMP certification, provided by the Project Management Institute (PMI), validates and elevates project managers' expertise and abilities. It showcases mastery in project management principles, top practices, and methodologies and is worldwide recognized as a testament to proficiency in the industry.

- - - - - - - - - - - - - -

Who should go for this course?

Project managers aim to enhance their skills.
Professionals aspiring to become project managers.
Individuals were seeking validation of their project management expertise.

- - - - - - - - - - - - - -

The concise prerequisites for the PMP Course:

Complete 35 hours of formal project management education through online training.
Obtain PMP certification by demonstrating either 4,500 hours of project leadership (with a four-year degree) or 7,500 hours (with a secondary diploma).
This ensures a mix of education and practical experience for certification.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

#pmpvsprince2 #pmp #prince2 #projectmanagement #projectmanagementcertification #projectmanagementtraining #BestCertifications

🔥Full Stack Java Developer Program (Discount Code - YTBE15) - https://www.simplilearn.com/java-full-stack-developer-certification?utm_campaign=6ijqF3lPwIE&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Full Stack Developer - MERN Stack Program (Discount Code - YTBE15) - https://www.simplilearn.com/full-stack-developer-course-mern-certification-training?utm_campaign=6ijqF3lPwIE&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - Post Graduate Program in Full Stack Web Development - https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=6ijqF3lPwIE&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech Coding Bootcamp (US Only) - https://www.simplilearn.com/coding-bootcamp?utm_campaign=6ijqF3lPwIE&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Web Development Full Course by simplilearn helps you master web development basics. the course begins with an Introduction to Web Development, exploring its future scope and importance. Learn the Basics of Web Development and follow a structured Web Development Roadmap to build strong foundational skills. Discover the Top 10 Certifications for Web Development to boost your career. Master Top Technologies for Web Development and explore AI Coding Tools like Cursor AI to enhance productivity. Gain insights into the Top 5 Hackathons in India for practical exposure and work on Top 10 Web Development Projects to strengthen your portfolio. Learn how to Build Websites with AI and use Generative AI Tools for Job Interviews. Finally, prepare for success with tips on Getting Internships and common Web Development Interview Questions.

The following are topics covered in the Web developement Full Course by simplilearn.

00:00:00 Introduction to Web Development
00:13:04 What is web development and its Scope
00:22:49 Top 10 certifications for 2025
00:36:32 Web development roadmap
00:48:36 Best AI Coding tools for Web Development
00:58:14 Top to learn technologies to learn for Web Development
01:06:28 Top 5 Hackathons in india
09:19:25 Web Development Basics
11:37:30 Top 10 Web development projects
11:54:52 How to get Internships
12:00:01 Gen ai tools for job interview
12:25:42 Build Website with AI
12:27:24 Cursor AI
13:43:09 Web Development Interview Questions

What is meant by web development?
What Is Web Development & How Does It Work? | WebFX
Web development is the process of building, programming, and maintaining websites and web applications. Website developers use various programming languages, like HTML, CSS, and JavaScript, to develop websites and web applications. Keep Reading Learn More About Web Design and Development.

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out More Videos By Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#webdevelopment #webdevelopmentcourse #webdeveloper #webdevelopmenttutorial #html #css #javascript #mongodb #nodejs #reactjs #angularjs #expressjs #simplilearn #2024

➡️ About Full Stack Developer Course

Gain skill with full stack developer course to design, build, and scale frontend and backend systems. Gain exposure over 10+ tools/frameworks, 6+ real-world projects via an immersive learning approach led by live virtual classes, access to integrated labs and JobAssist services.

Key Features:
✅ 40+ micro skilling exercises & 6+ work-like professional projects
✅ Develop expertise in 10+ full stack development tools and frameworks
✅ Fast-track your learning with the help of AI coding assistant tools
✅ Experience hands-on learning through our course-end projects and capstone projects
✅ Leverage the advanced capabilities of OpenAI's APIs to enhance your projects
✅ Build a robust Git portfolio to showcase your proficiency in building dynamic web applications
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Full Stack Development
✅ Web Development
✅ Backend Development
✅ Database Management
✅ Server Side Development
✅ Version Control and Collaboration
✅ Cloud Deployment and DevOps
✅ Testing and Quality Assurance
✅ Agile Development
✅ Project Management
✅ RESTful API Design
✅ Open AI APIs

Learning Path:
✅ Induction for Full Stack Web Developer - MERN Stack
✅ Build a strong MERN Foundation
✅ Design a Dynamic Frontend with React
✅ Data Structures and Algorithms
✅ Develop a Reliable Backend with Node and Express
✅ Full Stack Development Capstone Project
Electives:
✅ IBM - Reactive Architecture: Reactive Microservices

👉 Learn More At: https://www.simplilearn.com/full-stack-developer-course-mern-certification-training?utm_campaign=6ijqF3lPwIE&utm_medium=Description&utm_source=Youtube

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

A conceptual description of principal component analysis, including:
- variance and covariance
- eigenvectors and eigenvalues
- applications
As usual, very little formulas, lots and lots of pictures!

0:00 Introduction
0:46 Taking a picture
1:13 Dimensionality Reduction
2:02 Housing Data
5:09 Mean
7:46 Variance?
12:47 Covariance matrix
13:58 Linear Transformations
18:12 Eigenstuff
19:16 Eigenvalues
19:53 Eigenvectors
20:51 Principal Component Analysis (PCA)
26:05 Thank you!

This video shows how you can detect if a sequence is periodic or not, and also find its period, using the Discrete Fourier Transform.

This is the second 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 (this one)

Grokking Machine Learning Book:
https://www.manning.com/books/....grokking-machine-lea
40% discount promo code: serranoyt

00:00 Introduction
2:37: Periodic sequences
12:54 In the inverse DFT

Boris Cherny is the creator and head of Claude Code at Anthropic. What began as a simple terminal-based prototype just a year ago has transformed the role of software engineering and is increasingly transforming all professional work.

*We discuss:*
1. How Claude Code grew from a quick hack to 4% of public GitHub commits, with daily active users doubling last month
2. The counterintuitive product principles that drove Claude Code’s success
3. Why Boris believes coding is “solved”
4. The latent demand that shaped Claude Code and Cowork
5. Practical tips for getting the most out of Claude Code and Cowork
6. How underfunding teams and giving them unlimited tokens leads to better AI products
7. Why Boris briefly left Anthropic for Cursor, then returned after just two weeks
8. Three principles Boris shares with every new team member

*Brought to you by:*
DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lenny
Sentry—Code breaks, fix it faster: https://sentry.io/lenny
Metaview—The AI platform for recruiting: https://metaview.ai/lenny

*Episode transcript:* https://www.lennysnewsletter.c....om/p/head-of-claude-

*Archive of all Lenny's Podcast transcripts:*
https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0

*Where to find Boris Cherny:*
• X: https://x.com/bcherny
• LinkedIn: https://www.linkedin.com/in/bcherny
• Website: https://borischerny.com

*Where to find Lenny:*
• Newsletter: https://www.lennysnewsletter.com
• X: https://twitter.com/lennysan
• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/

*In this episode, we cover:*
(00:00) Introduction to Boris and Claude Code
(03:45) Why Boris briefly left Anthropic for Cursor (and what brought him back)
(05:35) One year of Claude Code
(08:41) The origin story of Claude Code
(13:29) How fast AI is transforming software development
(15:01) The importance of experimentation in AI innovation
(16:17) Boris’s current coding workflow (100% AI-written)
(17:32) The next frontier
(22:24) The downside of rapid innovation
(24:02) Principles for the Claude Code team
(26:48) Why you should give engineers unlimited tokens
(27:55) Will coding skills still matter in the future?
(32:15) The printing press analogy for AI’s impact
(36:01) Which roles will AI transform next?
(40:41) Tips for succeeding in the AI era
(44:37) Poll: Which roles are enjoying their jobs more with AI
(46:32) The principle of latent demand in product development
(51:53) How Cowork was built in just 10 days
(54:04) The three layers of AI safety at Anthropic
(59:35) Anxiety when AI agents aren’t working
(01:02:25) Boris’s Ukrainian roots
(01:03:21) Advice for building AI products
(01:08:38) Pro tips for using Claude Code effectively
(01:11:16) Thoughts on Codex
(01:12:13) Boris’s post-AGI plans
(01:14:02) Lightning round and final thoughts

*Referenced:*
• Cursor: https://cursor.com
• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell
• Anthropic: https://www.anthropic.com
• Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next
• Claude Code Is the Inflection Point: https://newsletter.semianalysi....s.com/p/claude-code-
• Spotify says its best developers haven’t written a line of code since December, thanks to AI: https://techcrunch.com/2026/02..../12/spotify-says-its
• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann
• Haiku: https://www.anthropic.com/claude/haiku
• Sonnet: https://www.anthropic.com/claude/sonnet
• Opus: https://www.anthropic.com/claude/opus
• Jenny Wen on X: https://x.com/jenny_wen
• Johannes Gutenberg: https://en.wikipedia.org/wiki/Johannes_Gutenberg
• Anthropic jobs: https://www.anthropic.com/careers/jobs
• Lenny’s AI poll post on X: https://x.com/lennysan/status/2020266745722991051
• Fiona Fung on LinkedIn: https://www.linkedin.com/in/fionafung
• Brandon Kurkela on LinkedIn: https://www.linkedin.com/in/bkurkela
• Cowork: https://www.anthropic.com/webinars/future-of-ai-at-work-introducing-cowork
• Chris Olah on X: https://x.com/ch402
• The Bitter Lesson: http://www.incompleteideas.net..../IncIdeas/BitterLess
...References continued at: https://www.lennysnewsletter.c....om/p/head-of-claude-

_Production and marketing by https://penname.co/._
_For inquiries about sponsoring the podcast, email [email protected]._

Lenny may be an investor in the companies discussed.

MIT RES.14-004 Seven Questions About Tariffs That Everyone Should Know the Answer To, IAP 2026
Instructor: Arnaud Costinot
View the complete course: https://ocw.mit.edu/courses/re....s-14-004-seven-quest
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

It is hard to predict what US tariffs will look like in a few months, or even in a few weeks from now. But there are many questions about tariffs that can be answered through a combination of theory and data. This lecture discusses seven that everyone should know the answers to.

Question #1: What Is (Always) Bad About Tariffs? (05:16)
Question #2: What is (Potentially) Good About Tariffs? (13:22)
Question #3: Should a Country (Sometimes) Use Tariffs? (28:15)
Question #4: How Do We Know Whether (a Particular Set of) Tariffs Are Good or Bad? (43:08)
Question #5: What Was the Impact of the 2018–2019 Trade War? (46:59)
Question #6: Are Global Tariffs Unfair to the United States? (56:56)
Question #7: What Is (Really) Bad about Trade Wars? (1:02:27)

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.

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

October 21, 2025
This lecture covers deep reinforcement learning.

To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea

To follow along with the course schedule and syllabus, visit: https://cs230.stanford.edu/syllabus/

More lectures will be published regularly.
View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department

Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai

This lecture covers:
1. The course (10 mins)
2. Human language and word meaning (15 mins)
3. Word2vec introduction (15 mins)
4. Word2vec objective function gradients (25 mins)
5. Optimization basics (5 mins)
6. Looking at word vectors (10 mins or less)

Key learning: The (astounding!) result that word meaning can be represented rather
well by a (high-dimensional) vector of real numbers

To learn more about enrolling in this course visit: https://online.stanford.edu/co....urses/cs224n-natural

To follow along with the course schedule and syllabus visit: hhttps://web.stanford.edu/class..../archive/cs/cs224n/c

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

Follow the codelab → https://goo.gle/3Q5TSt3
GitHub repo → https://goo.gle/4fsahT8
Google Agent Development Kit (ADK) → https://goo.gle/3Q3enqf

At the simplest level, an AI agent doesn’t just answer—it decides and takes action. In this video, Smitha goes beyond basic chatbots and demonstrates how to build a fully autonomous, self-correcting multi-agent system from scratch using Google’s Google Agent Development Kit (ADK).


First, Smitha breaks down the theory behind modern agents: the ReAct Framework (reasoning and acting) and the 3 main agent patterns (sequential, reactive, and planning). Then, she jumps straight into Python to build a practical *Blog Writing Agent*. Watch along and learn how to combine *Planner* and *Writer* agents with validation checkers and loop agents to create an AI that catches its own mistakes and automatically retries until it gets it right.

Chapters:
00:00 - AI Agents Explained
01:05 - The ReAct Framework Explained
02:15 - The 3 Types of AI Agents (Sequential, Reactive, Planning)
03:30 - Project Overview: The Auto-Correcting Blog Writer
04:15 - Setting Up Google ADK & UV
04:50 - Coding the Planner Agent
05:40 - Adding Auto-Correction (Validation Checkers & Loop Agents)
06:50 - Coding the Blog Writer & Root Agent
08:20 - Testing the AI in the ADK Web UI
09:40 - What's Next? (Connecting to MCP Servers)

More resources:
ReAct Paper → https://goo.gle/4oa1oQ9

🔗 Connect with Smitha online:
YouTube → https://goo.gle/Smitha-on-YouTube
Linkedin → https://goo.gle/Smitha-on-LinkedIn
X → https://goo.gle/Smitha-on-X

#AIAgents #GoogleADK #PythonTutorial #SoftwareEngineering #MachineLearning #LLMs

Watch more Modern AI Agents: From Theory to Production → https://goo.gle/Learn-with-Smitha
🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#AIAgents #Gemini

Speaker: Smitha Kolan
Products Mentioned: Agent Development Kit, Gemini

A lot of people think an AI agent is just a large language model wrapped in a chat interface. But when you move from a local demo to a real application, that assumption breaks down completely. A true agent is a production software system that can reason over a goal, retrieve context, maintain state, and trigger real actions through APIs.

In this video, I break down Agent AI System Design from a builder's perspective. We cover the exact architecture required to make single and multi-agent systems reliable, cost-aware, and safe enough to connect to real external tools. You will learn how to properly route models to save costs, structure your tool contracts, separate workflow state from long-term memory, and implement critical approval gates. By the end, you will have a practical mental model for building production-grade systems that users can actually rely on.

👉 Mastering Agentic AI Certification
Our August cohort now has fewer than 10 seats remaining, and we are currently offering 15% off with the code FLASHSALE15.
Register here: https://maven.com/aishwarya-sr....inivasan/mastering-a

👉 AI for Forward-Deployed Engineers Workshop
Our workshop is filling up very quickly. We currently have a limited-time 50% discount, so if you have been wanting to understand one of the fastest-growing roles in AI and learn how to build customer-facing AI solutions, now is the best time to register.

Register here: https://maven.com/aishwarya-sr....inivasan/ai-for-forw

👉 You can also check out our one-hour-long FREE Agentic AI System Design masterclass: https://maven.com/p/4c948b/age....ntic-ai-system-desig

CHAPTERS
0:00 The Demo vs. Production Reality
1:49 What is an Agent AI System?
2:12 Single Agent vs. Multi-Agent Systems
3:57 Building Block 1: The Model Layer and Routing
5:39 Building Block 2: Tool Contracts and Boundaries
7:37 Building Block 3: Memory vs. Workflow State
9:57 Building Block 4: Orchestration and Control Flow
12:23 Building Block 5: Trace-Level Evaluations
15:16 Building Block 6: Approval Gates and Policy Controls
17:03 Production Principle 1: Reliability and Fallbacks
18:42 Production Principle 2: Cost and Latency
20:42 Production Principle 3: Context and Retrieval Design
22:20 Production Principle 4: Observability, Security, and Privacy
25:33 Go Deeper with Gen Academy

📚 Resources to Watch Next
* AI Agents Explained: https://youtu.be/TZMdEg1ZoIo?si=xolifmjybYclpNZ-
* Single Agent vs. Multi-Agent Systems: https://youtu.be/-zBbij9rrEI?si=n0B9kG0XH9U0CQeV
* Deep Dive on AI Evaluations: https://youtu.be/_Er8Hao_gmQ?si=KNKjGEJrS7dkU6RF

Subscribe for deep dives into production-grade AI engineering, architecture breakdowns, and practical career strategies. Drop your system design questions in the comments below. I read and answer as many as I can!

Learn more about AI Code-Generation Software here → https://ibm.biz/BdpBwX

Is AI-assisted coding the future? 🤔 Cedric Clyburn explores spec-driven development, a game-changing approach that combines LLMs with software development best practices. Learn how it differs from vibe coding, integrates SDLC principles, and improves coding workflows with requirements-driven precision. 🚀

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdpBwH

#aicoding #llms #aiassisted