Learn Mojo in this full tutorial. The Mojo programming language combines the usability of Python with the performance of C. It's basically an enhanced version of Python specifically designed for Artificial Intelligence developers.

💻 Code: https://github.com/Infatoshi/intro-to-mojo

✏️ Course created by @elliotarledge
Elliot's discord: https://discord.gg/pV7ByF9VNm

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:04:16) What is Mojo
⌨️ (0:07:57) Modular Community
⌨️ (0:12:06) Setting Up
⌨️ (0:17:04) Hello World
⌨️ (0:19:20) Local Jupyter Notebook
⌨️ (0:22:21) Variables, Declarations, and Datatypes
⌨️ (0:33:27) Getting User Input
⌨️ (0:36:28) IF/ELSE Statements
⌨️ (0:40:28) Loops & Functions
⌨️ (0:47:41) Python VS Mojo functions
⌨️ (0:52:26) OOP
⌨️ (1:05:21) Importing Libraries
⌨️ (1:08:48) Raises, Error handling, Exceptions
⌨️ (1:14:49) Inout, Borrowed, Owned, and With Statements
⌨️ (1:21:49) Variable Scope
⌨️ (1:24:46) Mojo CLI
⌨️ (1:35:54) SIMD (single instruction, multiple data)
⌨️ (1:43:47) Decorators & Metaprogramming
⌨️ (1:46:01) Speed test (Mojo VS Python)
⌨️ (1:58:48) How to Ask Questions & Post Errors
⌨️ (2:08:13) Final Comments
⌨️ (2:11:49) Outro

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Learn how to use Next.js to build an SEO-optimized blog using. Also, use TailwindCSS, contentlayer, Supabase, an dmore. The course covers building a homepage, blog pages, category pages, an about page, and a contact page. Also, you'll learn to implementing powerful SEO strategies for higher Google rankings. Our blog features both dark and light themes, offering a minimal and elegant design that's fully responsive on mobile devices. Plus, you'll discover how to showcase your Markdown-based blogs easily on this website.

Course developed by @CodeBucks

Watch the final section of this course here: https://youtu.be/1QGLHOaRLwM?si=TnQmWgGoL6ferRIu&t=19896

Demo Link: https://create-blog-with-nextjs.vercel.app/

✏️ Starter Code: https://github.com/codebucks27..../Nextjs-contentlayer
✏️ Final Code: https://github.com/codebucks27..../Nextjs-tailwindcss-

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro + Demo
⌨️ (0:10:10) Setup and Installation
⌨️ (0:13:34) Tailwind CSS Setup, Dark Mode and project files
⌨️ (0:19:09) Adding Fonts
⌨️ (0:26:56) Navbar Component
⌨️ (0:46:31) Setup Contentlayer
⌨️ (1:08:31) How to render a Blog
⌨️ (1:13:11) Creating Home Cover Section
⌨️ (1:34:16) Featured Posts Component
⌨️ (1:50:11) Recent Posts Component
⌨️ (2:00:46) Footer Component
⌨️ (2:16:31) Blog Page
⌨️ (3:02:06) Creating TOC Component
⌨️ (3:20:51) Category Page
⌨️ (3:45:31) About page
⌨️ (3:58:26) Contact page
⌨️ (4:14:11) Insights Component
⌨️ (4:23:41) Store blog views using Supabase
⌨️ (4:49:16) Adding SEO
⌨️ (5:18:36) Adding Dark Mode
⌨️ (5:30:36) Making it Responsive

Watch the final section of this course here: https://youtu.be/1QGLHOaRLwM?si=TnQmWgGoL6ferRIu&t=19896
⌨️ Adding Sitemap
⌨️ Image Optimization
⌨️ Adding Favicon and manifest file
⌨️ Adding google's structured json-ld for SEO

Correction:
6:55:15 We have created one file called ThemeScript.js but that is not needed. Instead, just add id and strategy to the script that is in the layout.js file.

🎉 Thanks to our Champion and Sponsor supporters:
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👾 Serhiy Kalinets
👾 Justin Hual
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This Python programming full course video will cover all the basics to advanced concepts of Python programming. This Python Full Course is filled with real-life examples along with in-depth hands-on demos.
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02:54:25 Iterators, Modules, Packages, Generators
06:14:26 List Comprehensions
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06:59:02 Serialization
07:09:26 Closures & decorators

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In this .Net Tutorial video, you will learn everything about .net from basic to advanced topics. This .Net Framework tutorial video covers all the basic concepts of dot net, OOPS, Parameters & How strings are stored in memory, Boxing & Unboxing, Static class, method & variables, the difference between String & String builder, Exception Handling, SQL command, Lambda Operators & Delegates, and Dot Net interview questions.

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The following topics are covered in this .NET Tutorial video:
00:00:00 - .Net Tutorial
00:01:35 - Introduction to .Net
00:46:03 - Hands-on Demo
01:04:28 - Looping control structure
01:34:50 - Boxing and Unboxing
01:40:35 - Method Overloading
01:45:32 - Constructors
01:53:14 - Static Methods
02:04:10 - Inheritance
02:13:47 - Polymorphism
02:14:51 - String vs StringBuilder
02:25:18 - Exception Handling
02:50:13 - Abstract Class
04:09:14 - Connected Architecture and SQL Command
04:40:07 - LINQ and Lamda Expressions
05:10:32 - .NET Interview questions

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О том, что некоторые виды животных способны ощущать магнитное поле Земли, мы знаем давно. Но исследователи из Калифорнийского технологического института решили выяснить, относится ли к этим животным человек.

Перевод: Ольга Сюлева
Редактура: Наталья Кузнецова
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов, Алексей Никитин, Дмитрий Машкович
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
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, Ira Kozlovskaya, Amir, JIukaviy, Куляш, Dmitrii Komarevtsev, Мikhail Samin, Roman Inflianskas, Oleg Zingilevskiy, Alena, Vitaliy Vachynyuk, Ника Калмыкова, opperatius, Aleksandr P., Pavel Parpura, Katoto Chan, Anton Bolotov, Anatoly Ressin, Eugene Tsaplin, angel, Artem Amirbekov, Victor Cazacov, Kirill Zaslavskii, Vladyslav Sokolenko, Alexander Balynskiy, Dzmitryi Halyava, Ihar Marozau, Kseniya Stukova, POD666, Aleksei Shabalin, Irina Shakhverdova, Vadim Velicodnii, David Malko, Nastya, Evgeny Vrublevsky, Stanislav Obrazcoff, Kirill Vedensky, Валентин Матвейчик, Leonid Steinberg, Alexander Goida, Katya Ma, Morock_D, Sergey P, Ilya, Oleksandr Hrebeniuk, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Nikrodol, Lexx, Rincewind, Alexander Lebedev, Roman Gelingen, Sonra44, Сергей Клопов, Ranis Zaripov, Timophey Popov, MaximML , Rekvet, Илья Зверев, Никита Омельницкий, Timur Rahmatulin, Иван Новиков, Арс Ник, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Точка Зрения, SpireX, Maxim Khaustov, Р Ч.

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🔥 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

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

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

In this video I show an example of how to specify custom weight initialization for a simple network.

Pytorch init docs:
https://pytorch.org/docs/stable/nn.init.html


People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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Tinkering with reinforcement learning via Stable Baselines 3 and Starcraft 2.

Code and model: https://github.com/Sentdex/SC2RL

Stable Baselines 3 tutorial: https://pythonprogramming.net/....introduction-reinfor

Neural Networks from Scratch book: https://nnfs.io
Channel membership: https://www.youtube.com/channe....l/UCfzlCWGWYyIQ0aLC5
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#artificialintelligence #machinelearning #python

Wide & Deep Learning (https://research.googleblog.co....m/2016/06/wide-deep- combines the power of memorization and generalization by jointly training wide linear models and deep neural networks. We've open-sourced the implementation with an easy-to-use API in TensorFlow. It's effective for generic large-scale regression and classification problems with sparse inputs, such as recommender systems, search, ranking problems and more. We hope you find it useful in your machine learning projects.

Check out our blog post with links to tutorials, code samples, and our research paper:
- Google Research Blog post: https://research.googleblog.co....m/2016/06/wide-deep-
- TensorFlow Linear Model Tutorial: https://www.tensorflow.org/tutorials/wide/
- TensorFlow Wide & Deep Learning Tutorial: https://www.tensorflow.org/tut....orials/wide_and_deep
- Research paper: http://arxiv.org/abs/1606.07792

Watch all Machine Learning videos: https://goo.gl/gnXPPw

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