Prepare for JavaScript interview questions focusing on closures, functions, and currying. Throughout the course, you'll delve into various aspects of JavaScript, such as function declarations, expressions, scopes, and hoisting, as well as learning about advanced concepts like closures and lexical scope. You'll also gain a deeper understanding of currying and its practical applications in JavaScript.

Course created by @RoadsideCoder

Useful Links mentioned in the video -
🎥 var, let and const Video - https://www.youtube.com/watch?v=oUWRxJ19gfE&list=PLKhlp2qtUcSaCVJEt4ogEFs6I41pNnMU5
🎥 map, filter, and reduce Video - https://www.youtube.com/watch?v=dGq0gi0wv64&list=PLKhlp2qtUcSaCVJEt4ogEFs6I41pNnMU5&index=2
🎥 FE Interview Experience Video - https://www.youtube.com/watch?v=vxggZffOqek&list=PLKhlp2qtUcSb_WQZC3sq9Vw3NC4DbreUL&index=1

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:48) Function Declaration
⌨️ (0:02:13) Function Expression
⌨️ (0:02:34) Anonymous Function
⌨️ (0:03:25) First Class Functions
⌨️ (0:04:54) What is IIFE?
⌨️ (0:06:05) IIFE - Interview Question
⌨️ (0:06:59) Closures
⌨️ (0:07:27) Function Scopes
⌨️ (0:09:10) Function Scope - Interview Question
⌨️ (0:10:18) Hoisting in Functions
⌨️ (0:13:40) Hoisting - Interview Question
⌨️ (0:15:46) Params vs Arguments
⌨️ (0:16:25) Spread vs Rest Operators
⌨️ (0:17:43) Interview Question on params, args, spread, rest
⌨️ (0:19:03) Callback Function
⌨️ (0:20:02) Callback Function - Interview Questions
⌨️ (0:20:58) Arrow Functions
⌨️ (0:21:59) Arrow function vs Normal Function
⌨️ (0:25:13) Closures
⌨️ (0:25:50) What is Lexical Scope?
⌨️ (0:27:39) Lexical Scope - Interview Question
⌨️ (0:28:53) What is Closure?
⌨️ (0:29:44) Example of Closures
⌨️ (0:30:57) Why Closure?
⌨️ (0:32:20) Closure Scope Chain
⌨️ (0:35:13) Ques 1 - What will it print?
⌨️ (0:37:10) Ques 2 - Write a function for this
⌨️ (0:39:29) Ques 3 - Time Optimisation with Closures
⌨️ (0:42:08) Ques 4 - setTimeout + block scope with Closures
⌨️ (0:47:08) Ques 5 - Create a private counter
⌨️ (0:49:49) Ques 6 - What is Module Pattern?
⌨️ (0:51:40) Ques 7 - Make this run only once
⌨️ (0:54:18) Ques 8 - Once Polyfill Implementation
⌨️ (0:58:11) Ques 9 - Memoise/Caching Implementation
⌨️ (1:03:46) Ques 10 - Closure vs Scope
⌨️ (1:04:25) Currying
⌨️ (1:04:55) What is Curring in Javascript?
⌨️ (1:05:23) Example of Currying
⌨️ (1:08:17) Ques 1 - Implement sum(2)(6)(1)
⌨️ (1:11:02) Ques 2 - Reusing Variable for logic
⌨️ (1:14:09) Ques 3 - Infinite Currying
⌨️ (1:18:27) Ques 4 - Currying vs Partial Application
⌨️ (1:20:37) Ques 5 - Manipulating DOM
⌨️ (1:23:01) Ques 6 - curry() implementation

This is the second of a series of two videos on AI Agents.
In this video, we learn the architecture of agents, the agentic loop, memory, tools, planning, and much more! Including how to go from the static (automation) to the dynamic (autonomy).

First video - Strengths and Weaknesses of LLMs: https://www.youtube.com/watch?v=gGWufx8DTAo

Code labs:
RAG Wikipedia Agent
https://colab.research.google.....com/github/luisguise

Calculator Agent
https://colab.research.google.....com/github/luisguise

Math or Fact Agent
https://colab.research.google.....com/github/luisguise

Reinforcement Learning with Human Feedback (RLHF) is a method used for training Large Language Models (LLMs). In the heart of RLHF lies a very powerful reinforcement learning method called Proximal Policy Optimization. Learn about it in this simple video!

This is the first one in a series of 3 videos dedicated to the reinforcement learning methods used for training LLMs.

Full Playlist: https://www.youtube.com/playli....st?list=PLs8w1Cdi-zv

Video 0 (Optional): Introduction to deep reinforcement learning https://www.youtube.com/watch?v=SgC6AZss478
Video 1: Proximal Policy Optimization https://www.youtube.com/watch?v=TjHH_--7l8g
Video 2 (This one): Reinforcement Learning with Human Feedback
Video 3 (Coming soon!): Deterministic Policy Optimization

00:00 Introduction
00:48 Intro to Reinforcement Learning (RL)
02:47 Intro to Proximal Policy Optimization (PPO)
4:17 Intro to Large Language Models (LLMs)
6:50 Reinforcement Learning with Human Feedback (RLHF)
13:08 Interpretation of the Neural Networks
14:36 Conclusion

Get the Grokking Machine Learning book!
https://manning.com/books/grok....king-machine-learnin
Discount code (40%): serranoyt
(Use the discount code on checkout)

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐁𝐥𝐨𝐜𝐤𝐜𝐡𝐚𝐢𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/blockchain-training (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on "Blockchain Applications" will give you a walkthrough on how traditional applications differ from Blockchain applications and how Blockchain applications are developed. It will also list down the top 5 Blockchain applications that have been developed till date.
Below are the topics covered in this video:
00:00:00 - Introduction
00:00:35 - Traditional application
00:03:00 - Blockchain Applications
00:05:36 - Technology Stack
00:06:45 - Advantage of Dapps
00:08:45 - Top 5 Blockchain Applications

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

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

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

This is the first of a series of two videos on AI Agents.
In here, we talk about the strengths and weaknesses of LLMs, focusing on a specific example: Why are LLMs unable to tell good jokes, yet they can write such good poems?
This sets the tone for the next video on AI Agents.

Second video - Agents, Reasoning Models, and RAG: https://www.youtube.com/watch?v=xXL0gMo9Lso

Host your n8n agents on Hostinger: https://www.hostinger.com/david
Use code David ;)

Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4

Wanna learn how to code with AI? Go here: https://www.skool.com/new-society

Follow me on Instagram - https://www.instagram.com/davidondrej1/
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Subscribe if you're serious about AI.

This is the ultimate guide about AI Agents.

www.vectal.ai