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Generative AI
2,137,655 Views · 4 years ago

Thanks for watching! Please like and subscribe for more content as it helps support the channel.

This 40 minute scenic drive starts at Paramount Studios in Hollywood and then goes south past the Hollywood Walk of fame to Universal Studios in North Hollywood. It continues North to the Warner Brothers Studios Lot in the north part of Hollywood California. We finish at Disney Studios which is in Burbank California.

If you enjoyed this video please like and subscribe and I will create more videos like it. I will reply to every comment on this video. Thank you for your support.

Best viewed in 8K HDR or 4K HDR TVs. This video was captured with 3D Binaural Audio ASMR. Although the audio can be enjoyed with any speakers, headphones provides an immersive experience.

Timestamps:
00:00 Paramount Studios
03:50 Hollywood Walk of Fame
14:39 Hollywood Bowl
19:30 Universal Studios
31:00 Warner Brothers Studios
36:31 Disney Studios

#hollywoodstudios #burbank #losangeles #universalstudios #warnerbros #disneystudios #paramountstudios #hollywoodwalkoffame #California #Driving #drivingtour #sunsetdrive #sunset #california

[8K HDR] Driving to Every Movie Studio in Hollywood: Universal Studios, Disney Studios, Warner Brothers Studios, Paramount Studios!
8K HDR 60fps with 3D Binaural Audio ASMR

Recording Date: Sept 2022

All Footage in this video is copyright under licensed or created by me.
All footage edited And color corrected by me. Do not reproduce or reupload.

Thank you for watching and your support!
Copyright © 2022 Relaxing Scenes All Rights Reserved.

Generative AI
2,787,179 Views · 4 years ago

What will the future of AI programming look like with tools like ChatGPT and GitHub Copilot? Let's take a look at how machine learning could change the daily lives of developers in the near future.

#ai #tech #TheCodeReport

💬 Chat with Me on Discord

https://discord.gg/fireship

🔗 Resources

ChatGPT Demo https://openai.com/blog/chatgpt
Codex CLI https://github.com/microsoft/Codex-CLI
Tech Trends to Watch in 2023 https://youtu.be/1v_TEnpqHXE

🔥 Get More Content - Upgrade to PRO

Upgrade at https://fireship.io/pro
Use code YT25 for 25% off PRO access

🎨 My Editor Settings

- Atom One Dark
- vscode-icons
- Fira Code Font

🔖 Topics Covered

- How will ChatGPT affect programmers?
- Is AI going to replace software engineers?
- The future of AI programming tools?
- Universal AI programming language
- Using AI from the command line

Generative AI
3,451 Views · 3 years ago

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This video by Simplilearn will explain to you on Top 5 Future In-Demand IT Skills 2023. This tutorial on Top 5 IT Skills In Demand in 2023 will help you to enhance your professional and personal life by actively and constantly improving your IT skills.

In the rapidly changing world of today, having strong technical IT abilities is crucial. You will have a better experience utilizing new technologies and be able to complete tasks more quickly if you have these skills. For instance, having IT skills can help you maintain a work-life balance, advance your career, and address technological problems on your own.

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The top 5 Future In-Demand IT Skills 2023 are:

✅ 00:00-Top 5 Future In-Demand IT Skills 2023

✅ 00:51- In the 5th position, we have CyberSecurity
Cybersecurity is the process of defending against systems that are connected to the internet, including their hardware, software, and data.

✅ 01:50-Then in the 4th position comes, Data analysis
Data analysis is one of the most recent and rapidly expanding industries. For a variety of IT operations, data analysis abilities will be feasible.

✅ 02:36-In the 3rd position, we have Blockchain technology
A cutting-edge database system called blockchain technology allows for open information exchange inside a business network.

✅ 03:17-Following that in the 2nd position is Cloud computing
Data storage, servers, databases, networking, and software are just a few of the services that can be delivered through the Internet as part of cloud computing.

✅ 04:08-And in the 1st position are AI and machine learning
Artificial intelligence and machine learning are the two most crucial and in-demand IT skills.

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Generative AI
3,431 Views · 3 years ago

MIT Introduction to Deep Learning 6.S191: Lecture 5
Deep Reinforcement Learning
Lecturer: Alexander Amini
2023 Edition

For all lectures, slides, and lab materials: http://introtodeeplearning.com

Lecture Outline:
0:00 - Introduction
3:49 - Classes of learning problems
6:48 - Definitions
12:24 - The Q function
17:06 - Deeper into the Q function
21:32 - Deep Q Networks
29:15 - Atari results and limitations
32:42 - Policy learning algorithms
36:42 - Discrete vs continuous actions
39:48 - Training policy gradients
47:17 - RL in real life
49:55 - VISTA simulator
52:04 - AlphaGo and AlphaZero and MuZero
56:34 - Summary


Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

Generative AI
3,380 Views · 3 years ago

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#chatgpt #ai #openai ChatGPT is a FREE computer program that will change the way you practice English forever. In today’s video, I’ll walk you through how to use OpenAI ChatGPT to enhance your vocabulary, grammar, conversation, exam prep and so much more. It will completely transform the way you practice in ways you wouldn’t believe are possible!

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Generative AI
1,937 Views · 3 years ago

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In this video on " How Does a Ransomware Attack Work ?" We answer the questions like what is ransomware and how it works, by covering the ways a ransomware attack can be started with generic phishing emails, and how hackers demand payment for releasing personal files and information. We also take a look at some remedial measures that can be taken to prevent being targeted. And at the end, we will some popular Ransomware attacks in history.

Below are the topics covered in this Ransomware Explained video:

00:00 How does a ransomware attack work?
02:02 Introduction to Ransomware
02:44 What is a Ransomware
03:29 How does a ransomware attack work?
04:23 Types of Ransomware
05:19 effects of ransomware on business
06:20 How to prevent ransomware
07:11 Popular ransomware attack

Cybercriminals employ ransomware as a kind of malware (malicious software). When a computer or network is infected with ransomware, the ransomware prevents users from accessing the system and encrypts their data. Cybercriminals hold their victims' data hostage in exchange for ransom money. A vigilant eye and security software are recommended for protection against ransomware infection. Following an infection, victims of malware assaults have three options: they may pay the ransom, attempt to delete the software, or restart the device.

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Generative AI
12 Views · 3 years ago

Learn how to use Deno in this complete course. Deno is a Node.js alternative created by the same person who created Node.js. In this tutorial course, you will learn how to build real apps with Deno. You will also learn the basics of the Typescript. You will see how to use Deno to build a survey app with a REST API using MongoDB.

💻 Code: https://github.com/thecodeholi....c/freecodecamp-deno-
💻 Survey application code: https://github.com/thecodeholic/deno-survey

🎥 Course from The Codeholic. Check out his channel: https://www.youtube.com/channe....l/UC_UMEcP_kF0z4E6Kb
🐦 The Codeholic on Twitter: https://twitter.com/TheCodeholic

🔗 Official Deno website: https://deno.land/

⭐️ Course Contents ⭐️
Introduction
---------------------
⌨️ (00:00:00) Introduction
⌨️ (00:02:02) Course overview
⌨️ (00:04:38) Course Project
⌨️ (00:05:51) What is Deno
⌨️ (00:08:19) Course project (Survey app) demo
⌨️ (00:11:54) Install and Getting started
⌨️ (00:14:34) Write "Hello World"
⌨️ (00:15:50) Main Features

TypeScript
---------------------
⌨️ (00:17:22) What is TypeScript
⌨️ (00:24:04) TypeScript Types
⌨️ (00:37:40) Interfaces
⌨️ (00:43:46) Classes
⌨️ (00:48:03) Generics
⌨️ (00:56:31) Enums

Main features
---------------------
⌨️ (01:01:23) Import from URL
⌨️ (01:02:23) ES6 Modules import syntax
⌨️ (01:03:01) Top Level await
⌨️ (01:04:18) Browser API
⌨️ (01:06:20) Security
⌨️ (01:16:31) Single Executable file

⌨️ (01:18:55) Terminal commands
⌨️ (01:23:52) Standard Library and 3rd party modules
⌨️ (01:26:31) Create basic HTTP server
⌨️ (01:32:20) Working with file system
⌨️ (01:41:55) Using npm packages
⌨️ (01:45:40) Answers on common questions

Project - Survey app
----------------------
⌨️ (01:57:02) Install oak framework and setup basic server
⌨️ (02:03:41) Install denon for automatic server restart on file change
⌨️ (02:06:03) Easily manage versions and dependencies
⌨️ (02:08:06) Organize routes
⌨️ (02:09:36) Create AuthController and configure Login & Register routes
⌨️ (02:13:54) Setup connection with MongoDB
⌨️ (02:19:40) Create User model and implement registration
⌨️ (02:40:42) Implement login
⌨️ (02:54:16) Install dontenv and create .env file

Survey CRUD
----------------------
⌨️ (02:59:35) Configure routes for Survey CRUD and Create SurveyController
⌨️ (03:04:52) Create Survey model and implement Survey creation
⌨️ (03:11:22) Implement get surveys
⌨️ (03:20:33) Create BaseModel and inherit Survey and User models from there
⌨️ (03:26:12) Implement to get single survey
⌨️ (03:31:29) Implement survey update
⌨️ (03:39:22) Printing application errors
⌨️ (03:40:26) Fixing problem of "this" binding
⌨️ (03:44:27) Implement survey deletion
⌨️ (03:48:52) Create authMiddleware and add authentication to Survey CRUD

⌨️ (04:07:38) Implement CRUD of questions

Create Website
----------------------
⌨️ (04:44:15) Create SiteController and configure routes
⌨️ (04:47:38) Install template engine and create views
⌨️ (04:51:48) Render all surveys
⌨️ (04:55:32) Configure oak to handle static files (CSS, Javascript, Images)
⌨️ (05:06:05) Write basic styles
⌨️ (05:07:31) Create and use partial view files
⌨️ (05:09:30) Implement to view single survey
⌨️ (05:33:58) Get form submitted data and validation
⌨️ (05:49:07) Implement displaying validation errors in form
⌨️ (06:01:45) Implement to save survey answers
⌨️ (06:14:49) Create a real survey using our survey app



--



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

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

Generative AI
13 Views · 3 years ago

Improve your Python and Pygame skills by building the classic pong game, but this time with extra features. This beginner's tutorial is a great way to start learning how to create engaging games with unique mechanics.

✏️ Course created by @SMDS_Studio

💻 Code: https://github.com/SMDS-Studio..../Building-a-New-crea

⭐️ Contents ⭐️
(00:00) Intro
(01:09) Agenda of the course
(02:04) Traditional pong
(26:09) Creative angles
(30:21) Smash element
(38:03) Flash element
(41:10) Ball cloning
(51:51) Paddle cloning
(1:01:55) End screen element

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--

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

Generative AI
12 Views · 3 years ago

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This "Azure Course" video will assist you in understanding the concept of Microsoft Azure. This video will introduce Microsoft Azure, Companies Using Azure, and various Azure Services. With multiple hands-on approaches, learn about the end-to-end implementation of Azure Projects, Azure Services, and Azure Pricing. In addition, we will go over What cloud computing is, Various Cloud Models, the Top 3 Cloud Providers, and How To Deploy E-Commerce App On Azure. At the end of the video, we will also go over important Azure interview questions.

🔵 What is Azure?
Microsoft Azure (formerly Windows Azure) is the company's public cloud computing platform. It offers a wide range of cloud services, such as computing, analytics, storage, and networking. Users can select from these services to build and scale new applications or run existing ones in the public cloud.

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As many businesses migrate to Microsoft Azure, the demand for workers will rise. Overall, the future looks promising, and those who choose Azure as their cloud partner are making wise decisions.

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00:53:16 - Azure Resource Manager
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02:42:37 - Core Azure Services - AL + Machine Learning
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05:21:06 - Deploying end to end Website on Azure
07:08:29 - Interview Questions


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Machine Learning
8 Views · 3 years ago

Помощь проекту: https://vertdider.tv/to-support-us/

В университете штата Мичиган под руководством Ричарда Ленски проходит самый продолжительный за всю историю эксперимент по изучению эволюции. Уже 35 лет 12 популяций кишечной палочки (E. coli) живут в комфортных и неизменных лабораторных условиях, но, вопреки ожиданиям даже самого профессора, продолжают эволюционировать и обретать новые полезные для выживания свойства. О том, как устроен эксперимент и чем примечательны его результаты, расскажет Дерек Маллер в новом видео Veritasium.

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Гор Гиноян
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

#Veritasium #VertDider

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Machine Learning
23 Views · 2 years ago

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This video on Machine Learning Full Course will help you learn the basics and advanced concepts in machine learning. You will look at the different algorithms along with hands-on demos in Python. You will understand reinforcement learning, regularization, principal component analysis and see the top interview questions as well.

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00:09:17 Machine Learning Algorithms
02:17:36 What is K-Means Clustering?
03:32:45 Mathematics for ML
05:22:55 Reinforcement Learning
06:21:05 PCA
06:51:55 Regularization in ML
07:20:46 Feature Selection in ML
07:42:19 US Election Prediction
08:11:16 ML Interview Questions

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Machine Learning
11 Views · 2 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 will talk about multiple use cases where you can use ChatGPT. There are several day to day applications where you can leverage ChatGPT to do the job for you. Below are some important ChatGPT applications covered in this ChatGPT tutorial:
00:00:00 Introduction
00:00:50 ChatGPT for Writing Code
00:02:25 ChatGPT for Code Debugging
00:03:37 ChatGPT for Content Writing
00:05:03 ChatGPT for SEO
00:06:18 ChatGPT for Language Translation
00:07:01 ChatGPT for Writing Legal Documents
00:08:11 ChatGPT for College Assignments
00:08:37 ChatGPT to make Workout Schedule

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Machine Learning
59 Views · 2 years ago

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This video, Top 30 Machine Learning Interview Questions 2025, brings you the most frequently asked questions and detailed answers to ace your next job interview. Whether you're a fresher or an experienced professional, these machine learning interview questions are designed to help you prepare effectively for roles like Machine Learning Engineer, Data Scientist, or AI Specialist.

Discover insights into key ML concepts, algorithms, and problem-solving techniques that hiring managers value. Learn about important machine learning interview questions and their answers. With this ML interview questions and answers for experienced and freshers guide, become confident in answering questions about various machine learning concepts. Look into the critical questions around concepts such as supervised and unsupervised learning, feature selection, model evaluation, and advanced ML techniques. Don't miss this video, because this is going to enhance your understanding of machine learning and going to help you crack your dream job. Watch now and get ready to shine in your ML interviews!

📖Below are the pointers covered in this 'ML Interview Questions and Answers' video:

🥇 00:00:00 - Introduction to Machine Learning Interview Questions

👨‍💻 ML Interview Questions for Freshers (Basic Level Machine Learning Engineer Interview Questions):
Q1. What is Machine Learning, and why is it important?
Q2. Differentiate between supervised, unsupervised, and reinforcement learning.
Q3. What is a model in machine learning, and how is it used?
Q4. Explain overfitting and underfitting with examples.
Q5. What is a confusion matrix, and how is it used in evaluating models?
Q6. Define cross-validation. Why is it important in model evaluation?
Q7. What is the role of precision and recall in evaluating a model?
Q8. What is the F1 score, and how is it calculated?
Q9. What is the purpose of regularization in machine learning?
Q10. Explain the bias-variance trade-off.

👨‍💻 Intermediate Level Machine Learning Interview Questions:
Q11. What is feature engineering, and why is it crucial in machine learning?
Q12. Example of when a False positive is more crucial than a false negative and vice versa
Q13. What does naivety stand for in naive Bayes?
Q14. Give an example where the median is a better measure than the mean.
Q15. What are the key differences between bagging and boosting in ensemble methods?
Q16. How does a decision tree work in machine learning?
Q17. What is the principal component analysis (PCA), and when should it be used?
Q18. How does a support vector machine (SVM) classify data?
Q19. What is a dropout in neural networks, and how does it prevent overfitting?
Q20. Differentiate between batch gradient descent and stochastic gradient descent.

👨‍💻 Advanced Level Machine Learning Interview Questions for Experienced:
Q21. You notice that your model is overfitting on the training data. What steps would you take to address this issue?
Q22. How would you evaluate a model's performance using a Receiver Operating Characteristic (ROC) curve?
Q23. Describe a situation where regularization (L1 or L2) significantly improved your model's performance.
Q24. You are given a dataset with imbalanced classes. How would you handle this during model training?
Q25. Explain GAN.
Q26. Explain CNN.
Q27. Explain how recurrent neural networks (RNNs) are used for time-series data. Provide an example.
Q28. What strategy would you use to tune hyperparameters for a Random Forest or gradient-boosting model?
Q29. Describe a real-world scenario where reinforcement learning could be applied effectively.
Q30. How would you optimize the training of a deep neural network on a large-scale dataset with limited computational resources?

✅ How do I prepare for a machine learning interview?
Preparing for a machine learning interview involves mastering the fundamentals of ML concepts like supervised and unsupervised learning, algorithms, and model evaluation techniques. Work on real-world ML projects to showcase hands-on experience and build a strong portfolio.

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Generative AI
2,479,467 Views · 4 years ago

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Generative AI
2,923,690 Views · 4 years ago

Transformers are the rage nowadays, but how do they work? This video demystifies the novel neural network architecture with step by step explanation and illustrations on how transformers work.

CORRECTIONS:
The sine and cosine functions are actually applied to the embedding dimensions and time steps!

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