عايز تتعلم مجالات المستقبل مجانا من غير ما تتشتت بين المصادر الكتير
شوف الكنز الجديد ده..
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This video by Simplilearn on JavaScript Full Course is designed, developed, and curated in collaboration with industry experts to make sure to cover the major technical fundamentals, skills, tips, and tricks required to become an expert JavaScript Developer according to the current IT Standards. This JavaScript Tutorial For Beginners video will help you become proficient in JavaScript. At the end of the video, you will understand the concepts required to build complex JS applications.

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This video on "AI Roadmap for 2023" offers a comprehensive guide to becoming an AI engineer. This "Roadmap to Become an Artificial Intelligence Engineer" will help you to gain insights into vital programming languages and mathematical concepts essential for achieving expertise in AI engineering. AI presents exciting career opportunities in various industries and sectors. Roles like AI engineers, data scientists, NLP engineers, computer vision engineers, AI research scientists, robotics engineers, and many more offer exciting prospects for working with cutting-edge technologies and making an impact through AI innovation. According to Glassdoor, the average reported salary of an AI engineer in the United States is around $105,000/ yr; however, in India, it is ₹9,33,502L per annum.

In this "AI Roadmap for 2023" , we will cover the following topics:

✅ 00:00 AI Roadmap for 2023
✅ 00:10 Introduction to Artificial Intelligence
✅ 01:09 Salary of an AI Engineer
✅ 02:57 Top Companies Hiring AI Engineer
✅ 03:05 Steps to Become an AI Engineer
✅ 05:11 The Necessary Programming Languages and Algorithms

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-AI systems are designed to mimic human cognitive abilities and perform tasks such as speech recognition, natural language processing, image and pattern recognition, decision-making, and problem-solving. These systems can analyze large amounts of data, identify patterns, make predictions, and adapt to changing circumstances.

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A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

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Data analysts extract insights from vast information using stats and programming, guiding decisions, fueling innovation, and shaping industries. They bridge raw data to transformative outcomes, shaping the business landscape. Join this career to decode complexity, predict trends, and drive innovation. If data's enigmatic tapestry intrigues you, embark on a journey of constant learning.

00:00 Data Analytics Full Course 2023
02:00 What is Data Analytics
13:25 Data analytics applications
01:00:52 Python For Data Analytics
02:12:30 Data Manipulation in R
2:52:13 ggplot in R
4:24:00 Data analytics in Excel.
06:21:40 Data Analytics Projects
09:58:00 Data Analytics Interview Questions


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➡️ Data Analytics Bootcamp
The Caltech Data Analytics Bootcamp is ideal for working professionals from all backgrounds. Develop core skills such as mastering excel, creating data-driven presentations, data manipulation with SQL, analyzing data with Python, and data visualization with Tableau. Learn data analysis with tools such as AWS.

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- Linear and Logistic Regression
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Learn how to build a CRM (Customer Relationship Management) App with Django, Python, and MySQL.

The app will use MySQL for the database. We'll be able to Register, Log In, Log Out, Add Records, View Records, Update Records, and Delete Records.

✏️ Course created by John Elder. Check out his channel: https://www.youtube.com/@Codemycom

💻 Github Code: https://github.com/flatplanet/Django-CRM

🔗 MySQL Download: https://dev.mysql.com/downloads/installer/

⭐️ Contents ⭐️
0:00:00 Introduction
0:01:50 Installation and App Setup
0:06:45 MYSQL Configuration
0:13:18 Version Control Git and Github.com
0:18:14 Build Out The Basic App
0:28:46 Login Users
0:47:32 Logout Users
0:51:45 Register Users
1:15:00 Database Model
1:25:48 View Records On Website
1:31:01 Bootstrap Table
1:38:23 Individual Records
1:48:41 Bootstrap Card
1:56:51 Delete Record
2:01:05 Add New Records
2:12:10 Update Records
2:20:06 Push Code To Github
2:20:54 Conclusion

🎉 Thanks to our Champion and Sponsor supporters:
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Правда ли, что с любым жителем Земли мы связаны всего через шесть человек? Как ни странно, под этой теорией скрывается гораздо больше научной базы, чем кажется на первый взгляд.

Перевод: Алексей Лоскутов
Редактура: Юлия Яковлева
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Спасибо за поддержку на https://www.patreon.com/VertDider
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У відео йдеться про історію винайдення комплексних чисел, які стали вирішенням проблеми від'ємної площі в геометрії і зумовили відмову від геометрії як основи алгебри. Зрештою комплексні числа стали незамінними у фундаментальній фізиці - у рівнянні Шрьодінґера, яке описує хвильову функцію.

✅Текст читав: Андрій Горбунов (канал “Лакуна”)
✅Переклад: Марія Луценко, Марія Ковальчук, Артем Панченко, Катерина Рибачок, Анастасія Євгенова, Анастасія Цьосенко.
✅Редагування, субтитрування, монтаж: Віталій Шевчук (Цікава наука)

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© Оригінальне відео: https://www.youtube.com/watch?v=cUzklzVXJwo
© Канал Veritasium: https://www.youtube.com/c/veritasium (з люб’язного дозволу автора)
Executive Producer: Derek Muller
Writers: Derek Muller, Alex Kontorovich, Stephen Welch, Petr Lebedev
Animators: Fabio Albertelli, Jakub Misiek, Iván Tello, Jesús Rascón
SFX: Shaun Clifford
Camerapeople: Derek Muller, Emily Zhang
Editors: Derek Muller, Petr Lebedev
Producers: Derek Muller, Petr Lebedev, Emily Zhang
#SciTube #ЦікаваНаука #WatchUA

This is the 1st video in a series on using large language models (LLMs) in practice. I introduce LLMs and three levels of working with them.

▶️ Series Playlist: https://www.youtube.com/playli....st?list=PLz-ep5RbHos
📰 Read more: https://towardsdatascience.com..../a-practical-introdu

Music by Me
https://soundcloud.com/shawhin....-talebi/letsalljustt
https://www.youtube.com/@shawhin-music

--
Homepage: https://shawhintalebi.com/

Intro - 0:00
What is an LLM? - 1:13
Zero-shot Learning - 3:36
How do LLMs work? - 5:44
3 Levels of Using LLMs - 7:52
Level 1: Prompt Engineering - 8:22
Level 2: Model Fine-tuning - 11:00
Level 3: Build your own - 13:13

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This chatgpt for digital marketing course will guide you will essential techniques for seo and content creation for your digital marketing needs.
ChatGPT revolutionizes digital marketing by streamlining content creation across platforms through its engaging blogs, social media posts, and persuasive copywriting, while also fostering customer engagement via instant responses on social media, personalized user experiences, and efficient automated customer support; it further aids in SEO efforts by suggesting relevant keywords, enables trend analysis for strategic insights, assists in content localization for global reach, facilitates the creation of interactive content like quizzes and polls, and even contributes to A/B testing variations, all of which collectively empower marketers to enhance efficiency, engagement, and overall campaign success.

00:00 ChatGPT For Digital Marketing
04:03 ChatGPT for marketing
14:22 How to use chatgpt for SEO
01:06:00 ChatGPT for content creation
01:10:20 Master SEO Content with ChatGPT
01:20:00 ChatGPT use cases
01:47:40 ChatGPT for Business
01:51:50 How to make money using chatgpt

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➡️ 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.

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- Post Graduate Program certificate and Alumni Association membership
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- Generative AI
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- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
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- Neural Networks
- Computer Vision
- And Many More…

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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

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

November 21, 2025
This lecture covers:
• LLM-as-a-judge overview
• Best practices and benefits
• Biases and pitfalls

To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/

Chapters:
00:00:00 Introduction
00:07:08 Inter-rater agreement metrics
00:18:24 Rule-based metrics
00:21:00 METEOR, BLEU ROUGE
00:28:00 LLM-as-a-judge
00:33:44 Structured outputs
00:36:48 Variants
00:38:47 Position, verbosity, self-enhancement bias
00:47:22 Best practices
00:54:06 Factuality
01:00:15 Agent evaluation
01:23:50 Benchmarks
01:25:12 Knowledge with MMLU
01:29:34 Reasoning AIME, PIQA
01:33:57 Coding with SWE-bench
01:36:15 Safety with HarmBench
01:40:51 Agents with Tau-Bench

Afshine Amidi is an Adjunct Lecturer at Stanford University.

Shervine Amidi is an Adjunct Lecturer at Stanford University.

View the course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r