In this comprehensive Rust course for beginners, you will learn about the core concepts of the language and underlying mechanisms in theory.

✏️ Course developed by @zubiarfan

🔗 Rust by Practice: https://practice.rs/
🔗 Code: https://github.com/3rfaan/cour....ses/tree/main/Rust/r

⭐️ Contents ⭐️
00:00:00 Introduction & Learning Resources
00:06:19 Variables
00:27:07 Numbers & Binary System
01:09:51 Chars, Bools & Unit Types
01:17:55 Statements & Expressions
01:24:50 Functions
01:32:53 Ownership
02:24:06 Borrowing
02:47:45 String vs. &str
03:17:59 Slices
03:31:35 Tuples
03:40:04 Structs
04:02:52 Enums
04:13:46 The "Option" Enum
04:21:32 Flow Control
04:44:43 Pattern Match
05:16:42 Methods & Associated Functions
05:31:50 Generics
06:06:32 Traits
06:47:15 Trait Objects
07:09:51 Associated Types
07:39:31 String
07:59:52 Vectors
08:29:00 HashMaps
08:52:45 Type Coercion
09:04:54 From & Into
09:36:03 panic!
09:44:56 Result
10:28:23 Cargo, Crates & Modules
11:08:28 Debug & Display
11:30:13 Lifetimes
12:14:46 Lifetime Elision
12:38:53 Closures
13:30:08 Iterators

Correction:
12:53:20 Because of the `move` keyword the closure actually takes ownership of the `movable` variable, not an immutable reference. The reason we can call the closure twice is because the `movable` variable INSIDE the closure is the owner of the data. Meaning we can call the closure any number of times.

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Anthropic’s Barry Zhang (Applied AI), Erik Schluntz (Research), and Alex Albert (Claude Relations) discuss the potential of AI agents, common pitfalls to avoid, and how to prepare for the evolving landscape.

Read more advice on building agents: https://www.anthropic.com/rese....arch/building-effect

00:00 Introduction
00:26 Defining AI agents and workflows
02:55 Anatomy of an agent prompt
04:29 Behind the scenes stories
07:29 Why write about agents now
08:53 Overhyped and underhyped aspects of agents
09:57 Identifying useful applications of agents
10:47 Coding agents: Potential and challenges
12:47 The future of agents in 2025
16:26 Advice for developers exploring agents

Code on GitHub (Just look for Kaggle folder in ML):
https://github.com/aladdinpers....son/Machine-Learning

Timestamps:
0:00 - Introduction to Competition
4:08 - My Solution
6:10 - Training the small model
8:00 - Result1
8:43 - Finetuning
9:14 - Result2
10:19 - How to improve further?

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To learn Flutter, it is recommended to have a basic understanding of native Android development and OOPS concepts.
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This Flutter for Beginners course consists of 1.5 hours of video content that will help you understand the basic concepts while providing a demonstration of how to develop an application.

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This SEO tutorial video will help you understand what is SEO, why we need SEO, what is keyword research, how does a search engine work, on-page SEO, off-page SEO, Google algorithms, types of SEO, what is an ideal website architecture, what is local SEO, how to measure your SEO performance, and at the end there will be a short quiz to test your understanding on SEO. SEO, or search engine optimization, is the work that we do to make our websites more prominent in the major search engines, such as Google, Yahoo, and Bing. The more prominent our web pages are in the search engines, the more visitors and searchers will be exposed to our business information.

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5. On-page SEO (17:56)
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8. Types of SEO (01:40:49)
9. Website architecture (01:44:39)
10. Local SEO (01:52:02)
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There are updated install instructions here: https://www.youtube.com/watch?v=pQGJc3i_BmE
This is a video that's by request... I talked about Auto-GPT in a past video and people asked me to show how to install it. So here's a quick step-by-step tutorial on how to install it. This is a pretty niche video but I'd like to have it in my library of videos to share with others later.

https://gitforwindows.org/
https://www.python.org/
https://github.com/Torantulino/Auto-GPT
https://agentgpt.reworkd.ai/
https://youtu.be/Qm2Ai_JiQmo

🛠️ Explore hundreds of AI Tools: https://futuretools.io/
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🍭 My Backgrounds: https://www.futuretools.io/desktop-backgrounds

Outro music generated by Mubert https://mubert.com/render

#AutoGPT #ChatGPT #gpt4

Welcome to this core Machine Learning course for beginners! This course is designed to help you build a solid foundation in machine learning, focusing on core concepts and in-depth explanations of regression analysis, which is often overlooked in other courses. Whether you're a beginner or someone looking to strengthen your understanding of machine learning, this course is for you!

✏️ Course created by @AyushSinghSh

🔗 Course information: https://github.com/ayush714/Co....re-Machine-Learning-
🔗 Lecture notes and resources: https://lms.antern.co/courses/....core-machine-learnin

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:03:42) ML Foundation
⌨️ (1:04:47) Regression Foundation
⌨️ (2:51:53) Regression intermediate
⌨️ (3:48:48) MLR Intermediate
⌨️ (4:52:33) Regression Advance
⌨️ (6:31:04) Regression Project 1
⌨️ (7:04:15) Regression Project 2

🎉 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

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