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

Subscribe to the Google Developers YouTube channel: http://goo.gl/mQyv5L

Subscribe to the brand new Firebase Channel: https://goo.gl/9giPHG

In this Python tutorial, We'll see how to create an AI Text Generation Solution with GPT-Neo from Eleuther AI.
We'll learn
1. About GPT-Neo
2. How to install the latest Hugging Face Transformers Package
3. Load Text Generation pipeline and Download Pre-trained GPT-Neo Models
4. Text Generation

Eleuther AI - https://www.eleuther.ai/
GPT-Neo on Hugging Face Model Hub - https://huggingface.co/EleutherAI/gpt-neo-1.3B
GPT-Neo - https://github.com/EleutherAI/gpt-neo
GPU Focused GPT-NeoX - https://github.com/EleutherAI/gpt-neox/
Colab Code - https://colab.research.google.....com/drive/1UByjdT5l_

This course is a detailed introduction to system design for software developers and engineers.

Building large-scale distributed systems like Google, Facebook, Amazon, and Twitter requires an in-depth understanding of computer science principles. This allows systems to handle millions of users concurrently despite hardware failures.

We discuss the fundamental concepts of system design in this course like requirement selection, API design, Database Design, Network protocols, Fault-tolerance, design trade-offs, solution tradeoffs, and low-level design.

Gaurav Sen created this course. Check out his channel: @gkcs

You can learn about distributed systems and system design using the following resources:
Designing Data-Intensive Applications by Martin Kleppmann: https://amzn.to/3SyNAOy
System Design Simplified: https://interviewready.io

Let us know your thoughts and suggestions in the comments!

⭐️ Contents ⭐️
⌨️ (0:00:00) What is System Design
⌨️ (0:02:27) Design Patterns
⌨️ (0:04:07) Live Streaming System Design
⌨️ (0:07:42) Fault Tolerance
⌨️ (0:08:32) Extensibility
⌨️ (0:09:49) Testing
⌨️ (0:10:32) Summarizing the requirements
⌨️ (0:11:27) Core requirement - Streaming video
⌨️ (0:14:52) Diagramming the approaches
⌨️ (0:17:12) API Design
⌨️ (0:20:02) Database Design
⌨️ (0:22:32) Network Protocols
⌨️ (0:29:07) Choosing a Datastore
⌨️ (0:32:57) Uploading Raw Video Footage
⌨️ (0:34:37) Map Reduce for Video Transformation
⌨️ (0:39:24) WebRTC vs. MPEG DASH vs. HLS
⌨️ (0:41:55) Content Delivery Networks
⌨️ (0:42:27) High-Level Summary
⌨️ (0:44:48) Introduction to Low-Level Design
⌨️ (0:47:00) Video Player Design
⌨️ (0:49:17) Engineering requirements
⌨️ (0:50:32) Use case UML diagram
⌨️ (1:02:32) Class UML Diagram
⌨️ (1:06:27) Sequence UML Diagram
⌨️ (1:11:49) Coding the Server
⌨️ (1:24:23) Resources for System Design

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Erdeniz Unvan
👾 Justin Hual
👾 Agustín Kussrow
👾 Otis Morgan

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In this video, We have compiled a list of the 10 most important HTML Interview Questions asked during interviews. You can use this to prepare for your web development interviews. It helps you delve into the world of Web Development and improve your HTML skills.

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What is HTML (Hyper Text Markup Language)?
HTML is the most widely used language for developing web applications. It was created by Berners-Lee in the year 1991 but was first published in 1995. HTML 4 was a popular breakthrough version and got published in 1999. This version gained a lot of popularity and was adopted all over the globe for developing web applications. HTML 5 is the current version and was published in 2012. HTML is critical for web development, and if you’ve ever thought about choosing that career path, you’d unquestionably have come across this language. And that’s probably why you are here in the first place.

HTML stands for HyperText Markup Language. It is used for creating websites and web applications. Let’s break it down, so we understand the name better:
HyperText: HyperText refers to the “text wrapped within a text.” It is very similar to hyperlink and contains an underlying text that, when clicked, redirects to a new webpage.
Markup Language: A markup language is not necessarily a programming language. Instead, it is used to apply formatting and layout to a simple text document. This leads to more interactive and dynamic text content.
Web Page: A web page is a document that is commonly coded in HTML and rendered by a web browser. Every web page is identified by a URL and can be static or dynamic according to the requirements. If we are only using HTML for development, we can create static web pages.

➡️ Post Graduate Program In Full Stack Web Development
This program will give you the foundation for building full stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is a perfect time to get started on your career as a full stack web developer!

✅ Key Features
Caltech CTME Post Graduate Certificate
Enrolment in Simplilearn’s JobAssist
Receive upto 25 CEUs from Caltech CTME
Simplilearn's JobAssist helps you get noticed by top hiring companies
Masterclasses taught by Caltech CTME instructor
8X higher interaction in live online classes conducted by industry experts
Online Convocation by Caltech CTME Program Director
20 lesson-end and 5 phase-end projects
Capstone Project in 4 domains
Caltech CTME Circle Membership
Build your own portfolio on GitHub

✅ Skills Covered
- Agile
- JAVA
- Hibernate and JPA
- Spring Core 50
- DevOps
- HTML5 and CSS3
- AWS
- JavaScript
- ES6Servlets
- SOAP and REST
- JSP

👉Learn More at: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=HTMLIQsFeb12&utm_medium=Descriptionff&utm_source=youtube


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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

🎉 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
👾 Oscar Rahnama

--

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

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

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:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

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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.
00:00:00 Introduction
00:10:49 Python Installation
00:44:45 Object oriented programming concepts
00:22:05 Python project
01:46:57 Type Hierarchy
02:04:13 Operator Precedence
02:35:07 Conditional Statements
02:54:25 Iterators, Modules, Packages, Generators
06:14:26 List Comprehensions
06:26:06 Regular Expression
06:59:02 Serialization
07:09:26 Closures & decorators

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#AdvancePythonProgrammingFullCourse #PythonTutorial #Python #PythonCourse #PythonFullCourse #PythonTraining #PythonProgramming #PythonForBeginners #PythonCourse #Python #Simplilearn

➡️ 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.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

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What is artificial general intelligence? And how do we get there?

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