🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/javascr....ipt-certification-tr
This Edureka video will teach you how to build a simple scorekeeper using HTML, CSS, and JavaScript. Coding along the project will help you understand the fundamentals of Document Object Model (DOM) Manipulation. Following are the topics covered in this video
1.What is HTML?
2.HTML Tree
3.What is CSS?
4.CSS selectors
5.What is JavaScript?
6.JavaScript Selector Functions
7.Scorekeeper Code Along

🔴 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
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 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
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 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/

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka live video on "how to become a DevOps Engineer" is a complete career guide for the aspiring DevOps Engineer.
Topics Covered:
00:00:00 Introduction
00:01:33 Why become a DevOps Engineer?
00:02:31 Why is there such a great demand for DevOps?
00:05:30 Traditional Development Models vs DevOps
00:08:02 What does a DevOps Engineer do?
00:08:28 Roles and Responsibilities of a DevOps Engineer
00:09:33 Skills required for a DevOps Engineer
00:11:57 How to become a DevOps Engineer?

🔴 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
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 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
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 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


📌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/

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

The Scrapy Beginners Course will teach you everything you need to learn to start scraping websites at scale using Python Scrapy.

The course covers:
- Creating your first Scrapy spider
- Crawling through websites & scraping data from each page
- Cleaning data with Items & Item Pipelines
- Saving data to CSV files, MySQL & Postgres databases
- Using fake user-agents & headers to avoid getting blocked
- Using proxies to scale up your web scraping without getting banned
- Deploying your scraper to the cloud & scheduling it to run periodically

✏️ Course created by Joe Kearney.

⭐️ Resources ⭐️
Course Resources
- Scrapy Docs: https://docs.scrapy.org/en/latest/
- Course Guide: https://thepythonscrapyplayboo....k.com/freecodecamp-b
- Course Github: https://github.com/orgs/python....-scrapy-playbook/rep
- The Python Scrapy Playbook: https://thepythonscrapyplaybook.com/

Cloud Environments
- Scrapyd: https://github.com/scrapy/scrapyd
- ScrapydWeb: https://github.com/my8100/scrapydweb
- ScrapeOps Monitor & Scheduler: https://scrapeops.io/monitoring-scheduling/
- Scrapy Cloud: https://www.zyte.com/scrapy-cloud/

Proxies
- Proxy Plan Comparison Tool: https://scrapeops.io/proxy-pro....viders/comparison/fr
- ScrapeOps Proxy Aggregator: https://scrapeops.io/proxy-api-aggregator/
- Smartproxy: https://smartproxy.com/deals/proxyservers/ips

⭐️ Contents ⭐️
⌨️ (0:00:00) Part 1 - Scrapy & Course Introduction
⌨️ (0:08:22) Part 2 - Setup Virtual Env & Scrapy
⌨️ (0:16:28) Part 3 - Creating a Scrapy Project
⌨️ (0:28:17) Part 4 - Build your First Scrapy Spider
⌨️ (0:55:09) Part 5 - Build Discovery & Extraction Spider
⌨️ (1:20:11) Part 6 - Cleaning Data with Item Pipelines
⌨️ (1:44:19) Part 7 - Saving Data to Files & Databases
⌨️ (2:04:33) Part 8 - Fake User-Agents & Browser Headers
⌨️ (2:40:12) Part 9 - Rotating Proxies & Proxy APIs
⌨️ (3:18:12) Part 10 - Run Spiders in Cloud with Scrapyd
⌨️ (4:03:46) Part 11 - Run Spiders in Cloud with ScrapeOps
⌨️ (4:20:04) Part 12 - Run Spiders in Cloud with Scrapy Cloud
⌨️ (4:30:36) Part 13 - Conclusion & Next Steps

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

Veritasium's Derek Muller answers the web's most searched questions about himself. Where did the name 'Veritasium' come from? Is Veritasium a real element? Where does Derek live? Is he married? What was Veritasium's first video? Derek answers all these questions and much more!

Check out Derek's channel: Veritasium
https://www.youtube.com/@veritasium

Director: Katherine Wzorek
Director of Photography: Matt Krueger
Editor: Ron Douglas
Talent: Derek Muller

Line Producer: Joseph Buscemi
Associate Producer: Melissa Cho
Production Managers: Peter Brunette, Andressa Pelachi
Production Coordinator: Carol Wachockier

Audio: Mike Faner
Cam Op/Gaffer: Nate Cornett
Production Assistant: Ariel Labasan

Post Production Supervisor: Alexa Deutsch
Post Production Coordinator: Ian Bryant
Supervising Editor: Doug Larsen
Assistant Editor: Billy Ward


Still haven’t subscribed to WIRED on YouTube? ►► http://wrd.cm/15fP7B7
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ABOUT WIRED
WIRED is where tomorrow is realized. Through thought-provoking stories and videos, WIRED explores the future of business, innovation, and culture.

🔥Enroll for Intellipaat's Executive Certification Program in AI & ML: https://intellipaat.com/epgc-a....i-and-machine-learni

#MachineLearningCourse #MachineLearningFullCourse #MachineLearningTutorial #MachineLearningTutorialForBeginners #MLCourse #MachineLearningWithPython #MachineLearning #MachineLearningProjects #Intellipaat

Unlock the world of Machine Learning with this comprehensive Machine Learning Full Course 2025 by Intellipaat! This 11-hour complete machine learning course is your ultimate guide to mastering the basics and advanced concepts of machine learning. Designed for beginners and enthusiasts, this course covers key topics like machine learning algorithms, hands-on Python implementations, and real-world projects. Whether you’re starting your ML journey or brushing up your skills, this ML course has everything to accelerate your career in the tech industry.

💡 What you’ll learn in this course:
👨‍💻 Machine Learning fundamentals explained step-by-step.
👨‍💻 In-depth coverage of algorithms like regression, classification, clustering, and more.
👨‍💻 Python implementation of machine learning techniques.
👨‍💻 Insights into ML project development and deployment.
👨‍💻 Real-world examples to make concepts practical and applicable.

💻 Why choose this course?
Machine Learning is one of the most in-demand skills of the decade, and having a strong foundation in it can open doors to countless opportunities. This course not only helps you understand ML concepts but also equips you with hands-on experience to stand out in a competitive job market.

📖 Below are the concepts covered in this 'Machine Learning Full Course 2025':
00:00:00 - Introduction to Machine Learning Course
00:02:39 - What is Machine Learning?
00:53:55 - Types of ML: Supervised and Unsupervised Learning
01:11:11 - ML Examples and Myths
02:42:07 - Introduction to Reinforcement Learning
03:25:35 - Linear Regression: Introduction and Examples
03:52:00 - Linear Regression: Errors and Finding the Best Line (Hyperbole/Intercept)
04:14:08 - Linear Regression Hands-On: Single and Multiple Linear Regression
05:12:42 - R-Squared Explained
05:23:25 - Assumptions of Linear Regression
05:34:29 - Logistic Regression: Introduction
06:22:51 - Understanding Odds
06:28:36 - Probability vs. Odds
06:34:24 - Derivation of Sigmoid Function
07:19:03 - Balanced vs. Imbalanced Data
07:26:13 - Confusion Matrix
07:42:51 - Precision Explained
08:00:43 - Hands-On Logistic Regression
08:54:41 - Naive Bayes Explained
09:26:59 - Decision Tree Algorithm
09:55:51 - Understanding Entropy
10:29:14 - Types of Nodes in Decision Trees
10:36:00 - Underfitting vs. Overfitting

📌 Don’t miss out! Subscribe to Intellipaat for more career-transforming content.

Q1. Is this Machine Learning course suitable for beginners?
Yes, this course is perfect for beginners, with a strong focus on foundational concepts, step-by-step explanations, and practical applications.

Q2. What tools will I learn in this ML course?
You’ll primarily work with Python and its libraries like NumPy, Pandas, matplotlib, and scikit-learn, which are essential for machine learning projects.

Q3. How can I benefit from this Machine Learning course?
This course helps you develop skills in data analysis, algorithm implementation, and problem-solving, giving you a competitive edge in the tech industry.

➡️ About the Course
Gain expertise in Artificial intelligence and Machine Learning through an Executive Post Graduate Certification program in AI and ML offered by iHUB DivyaSampark, a Technology Innovation Hub of IIT Roorkee, in collaboration with Intellipaat This AI and ML program is in collaboration with tech giants Microsoft. Get classes and guidance directly from IIT Faculty and industry experts, with personalized 1:1 mentorship. Become IIT certified AI and ML expert with this online BootCamp.

➡️Who should take this course?
☑️ Individuals with a bachelor’s degree and a keen interest in learning AI and ML
☑️ IT professionals looking for a career transition as Machin learning experts or AI engineers.
☑️ Professionals aiming to move ahead in their IT career
☑️ Developers and Project Managers
☑️ Freshers who aspire to build their career in the field of Artificial Intelligence and Machine

✅ Key Features - (Course Features)
👉🏼 620 Hrs of Applied Learning
👉🏼 Learn from IIT Faculty & Industry Practitioners
👉🏼 50+ Industry Projects & Case Studies
👉🏼 One-on-One with Industry Mentors
👉🏼 Placement Assistance
👉🏼 Resume Preparation and LinkedIn Profile Review
👉🏼 24*7 Support
👉🏼 1:1 Mock Interview
👉🏼 Certification from Microsoft
👉🏼 Up to Rs. 50 Lakhs startup Incubation Support*

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Дилемма заключённого — известная задача в теории игр. Самая выигрышная стратегия в ней — предательство. Но что если эту дилемму нужно решать многократно? Скажем, каждый день вам нужно оставлять свой контейнер с едой в офисном холодильнике. Стоит ли покушаться на чужой йогурт? Или дождаться, пока кто-то оставит вас без колбасы, и уже тогда принимать меры? Проблема нешуточная. А как её решать, рассказывает Дерек Маллер в новом видео Veritasium.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Макар Светлый
Озвучка: Дмитрий Чепусов, Алексей Никитин, Дмитрий Машкович
Монтаж звука: Андрей Фокин
Монтаж видео: Юрий Хомяков
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider

Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Pavel Parpura, Mykola Korniichuk, Eugene Tsaplin, Oleg Zingilevskiy, Vitaliy Vachynyuk, Мikhail Samin, Anton Bolotov, Anatoly Zapadinsky, Все будет хорошо, Katoto Chan, Ihar Marozau, Alexander Goida, Irina Shakhverdova, Aleksei Shabalin, Valeriy Dubrava, Kirill Zaslavskii, Victoria Kleban, Victor Cazacov, VEG, Alex Kulakov, Leonid Steinberg, mifon bejenari, Vladimir Sharich, Maxim Korotkov, Anna Ostrovskaya, Dmitry Chechulin, Lexx, Rashn, Zhekka_research, simens_green, yuri popoff, Виктор Харламов, Постный Оладий, Шурик Самара, Alexander Kulikov, Alien, Artem Sobolenkov, Being of Whiteout, Ilia Mogilner, Kirill Markov, Maxim Titov, SodayaSodochka, Timophey Popov, andruche, asdadasa, dv0, pervprog, Арс Ник, Артем Сиваченко, Глеб Кочергин, Дмитрий Казанов, Екатерина Боноева, Кожаный Гусь, Никита Омельницкий, Тимур Абдуллин, Тот самый Виктор, Шамсудин Насаев.

#vertdider #veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— https://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=mScpHTIi-kM

Learn how to build and deploy a SaaS using NextJS 13.4, DrizzleORM, OpenAI, Stripe, TypeScript, Tailwind, and Vercel. You will gain expertise in the following areas:
- Leveraging NextJS 13's cutting-edge App Router.
- Managing Payments seamlessly through Stripe.
- Harnessing the beauty of Shadcn and the power of Tailwind CSS.
- Unleashing the capabilities of OpenAI's API for Language Model usage.
- Interacting with databases with the efficiency of ORMs.

Resources
🔗 GitHub Repo: https://github.com/elliott-chong/chatpdf-yt
🔗 Vercel AI SDK: https://vercel.com/blog/introd....ucing-the-vercel-ai-
🔗 Timestamp 3:20:00 /api/chat/route.ts file https://pastebin.com/crLipeHK

Course developed by @elliottchong

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro & Demo
⌨️ (0:09:53) Set Up NextJS
⌨️ (0:11:59) Set Up Shadcn
⌨️ (0:15:45) Set Up ClerkAuth
⌨️ (0:21:52) Home Page
⌨️ (0:33:22) DrizzleORM
⌨️ (0:50:15) File Upload Component
⌨️ (0:57:11) Set Up AWS S3
⌨️ (1:18:12) AI RAG Explanation
⌨️ (1:30:39) React Query Set Up
⌨️ (1:45:11) Set Up Pinecone DB
⌨️ (2:32:27) Chat Side Bar
⌨️ (2:47:42) PDF Viewer
⌨️ (2:50:33) Chat Component ( Vercel AI SDK )
⌨️ (3:08:02) Pinecone OpenAI Get Context
⌨️ (3:26:19) Persist Chat Logs to DB
⌨️ (3:34:16) Stripe Integration
⌨️ (4:14:59) Deploy and Outro

🎉 Thanks to our Champion and Sponsor supporters:
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👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

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To get started for free, visit to https://brilliant.org/electroboom and the first 200 of you will get 20% off Brilliant's annual premium subscription.
Don't batteries push charges into wires and don't they push each other and carry energy to the load? Let's see what Veritasium says about it.

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Thanks for your support @ http://patreon.com/electroboom

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Enter your school for tools: https://goo.gl/forms/VAgRre8rLVvA1cEi2

Reference videos:
Veritasium’s 1st Video: https://youtu.be/bHIhgxav9LY
My 1st Analysis Video: https://youtu.be/iph500cPK28
Veritasium’s 2nd Video: https://youtu.be/oI_X2cMHNe0

By: Mehdi Sadaghdar

Avalanches are beautiful, majestic, and completely terrifying – this is a video all about the science of avalanches. Head to https://brilliant.org/veritasium to start your free 30-day trial, and get 20% off an annual premium subscription.

A massive thank you to everyone at Whistler Blackcomb for making this shoot happen – Dane Gergovich, David Iles, Alastair Collis, Erin Taylor, and everyone else on the ski patrol team. Thank you for keeping us safe!

A massive thank you to Bruce Tremper, Niko Schirmer, and Mark Smiley for their expertise and help with this video. We are truly grateful for your time and expertise.

Check out Niko's channel here -- it's easily some of the best skiing content on YouTube. https://www.youtube.com/@Nikolai_Schirmer

If you have any intention of going into the backcountry, you have to read Bruce’s book – Staying Alive in Avalanche Terrain. It’s the Bible for this stuff, and the book that inspired us to make this video.

▀▀▀
Special thanks to our Patreon supporters! Join the community to help us keep our videos free, forever: https://ve42.co/PatreonDE

Adam Foreman, Anton Ragin, Balkrishna Heroor, Bertrand Serlet, Bill Linder, Blake Byers, Burt Humburg, Chris Harper, Dave Kircher, David Johnston, Evgeny Skvortsov, Garrett Mueller, Gnare, gpoly, I. H., John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Kyi, Lee Redden, Marinus Kuivenhoven, Martin, Matthias Wrobel, Max Paladino, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, Toni , TTST, Ubiquity Ventures, wolfee

If you’re looking for a molecular modeling kit, try Snatoms, a kit I invented where the atoms snap together magnetically - https://ve42.co/SnatomsV

▀▀▀
References:
Tremper, B. (2001). Staying Alive in Avalanche Terrain. Mountaineers Books. - https://ve42.co/Tremper2001
McClung, D. & Schaerer, P. (2006). The Avalanche Handbook. Mountaineers Books. - https://ve42.co/McClung2006
Hopfinger, E. J. (1983). Snow Avalanche Motion and Related Phenomena. Annual Review of Fluid Mechanics. - https://ve42.co/Hopfinger1983
Schweizer, J. et al. (2003). Snow avalanche formation. Reviews of Geophysics. - https://ve42.co/Schweizer2003
Schweizer, J. et al. (2008). Review of spatial variability of snowpack properties and its importance for avalanche formation. Cold Regions Science and Technology. - https://ve42.co/Schweizer2008
Jamieson, B. (2006). Formation of refrozen snowpack layers and their role in slab avalanche release. Reviews of Geophysics. - https://ve42.co/Jamieson2006
Schweizer, J. et al. (2016). Avalance release 101. International Snow Science Workshop Proceeding. - https://ve42.co/Schweizer2016
Schweizer, J. (2008). Snow avalanche formation and dynamics. Cold Regions Science and Technology. - https://ve42.co/Schweizer2008-2

Images & Video:
Skiing and snowboarding footage by Niko Schirmer - https://ve42.co/NikoYT
World's Biggest Avalanche (c)Thom Goddard/All Star Films Ltd 2015. Thank you to the Thom Goddard Channel for use - https://ve42.co/ThomGoddard
Newspaper clippings via Newspapers.com – https://ve42.co/Newspapers
Video of a snow slab avalanche via Trottet, B. et al. (2022). Transition from sub-Rayleigh anticrack to supershear crack propagation in snow avalanches. Nature Physics. - https://ve42.co/Trottet2022
Remote Triggered Avalanche via Henry’s Avalanche Talk - Remote Triggering of an Avalanche
WW1 images via Brugnara, Y. et al. (2016). December 1916: Deadly Wartime Weather. Geographica Bernensia - https://ve42.co/Brugnara2016
Major Avalanches via Geomorphological Hazards - https://ve42.co/MajorAvi
White Friday avalanche illustration via Avalanches WIllow - https://ve42.co/WhiteFriday
White Friday aftermath via Lost In History - https://ve42.co/AviGraves
Field mass on Marmolada via Austrian National Library - https://ve42.co/AviMass
Yungay disaster via NOAA - https://ve42.co/Yungay
Yungay aftermath via AMC Museum - https://ve42.co/YungayAMC
Bruce Tremper Image via utavy - https://ve42.co/BruceTPic
Snowpack via SnowStudies.org - https://ve42.co/SnowStudies
Snowpack via Avalanche.org - https://ve42.co/SnowPackAvi
Snow crystals via Reiweger, I. (2011). Failure of weak snow layers. ETH. - https://ve42.co/Reiweger2011

▀▀▀
Directed by Petr Lebedev
Written by Petr Lebedev and Derek Muller
Edited by Peter Nelson (Additional editing by James Horsley)
Animated by Jakub Misiek, Fabio Albertelli, Alex Zepherin, and Alex Drakoulis
Additional Research by Gregor Čavloviċ
Filmed by Petr Lebedev and Ryan Regehr
FPV Drone by Mitch Winton
Produced by Petr Lebedev, Derek Muller, Han Evans, Giovanna Utichi, Rob Beasley Spence, Emily Taylor and Gregor Čavloviċ

Thumbnail by Ren Hurley and Peter Sheppard
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound

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Don't click this: https://tinyurl.com/bde5k7d5

💚 Link to Code: https://www.patreon.com/greencode

How I Learned This: https://nnfs.io/ (by the awesome @sentdex )

I'm not an AI expert by any means, I probably have made some mistakes. So I apologise in advance :)

Also, I only used PyTorch to test the forward pass. Apart from that, everything else is written in pure Python (+ use of Numpy).


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Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

В чем залог счастливой жизни? Люди пытаются найти ответ на этот вопрос с незапамятных времён через искусство, философию и духовные практики. В 1938 году учёные из Гарварда решили пойти научным путём и пронаблюдать за тем, как меняется ощущение счастья у тогдашних подростков в течение их жизни. Дерек Маллер с канала Veritasium встретился с уже четвертым руководителем Гарвардского исследования развития взрослых людей, чтобы узнать, какие выводы получилось сделать спустя 85 лет после начала проекта.

Перевод: Елена Смотрова
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Озвучки Vert Dider выходят с вашей помощью:

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© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=vSQjk9jKarg

When you don't always have the same amount of data, like when translating different sentences from one language to another, or making stock market predictions from different companies, Recurrent Neural Networks come to the rescue. In this StatQuest, we'll show you how Recurrent Neural Networks work, one step at a time, and then we'll show you their critical flaw that will lead us to understanding Long Short-Term Memory Networks.

English
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0:00 Awesome song and introduction
4:13 Basic anatomy of a recurrent neural network
5:59 Running data through a recurrent neural network
10:31 Shared weights and biases
11:23 The vanishing/exploding gradient problem.

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