Baraka is a 1992 American non-narrative documentary film directed by Ron Fricke and produced by Mark Magidson.

The word Baraka is defined within various Eastern religions as a powerful spiritual blessing that flows throughout many different aspects of life.

The Baraka project was filmed by a only 5 person crew, over a period of 14 months, in 24 different countries, and while spanning 6 of the 7 continents.

This is a short documentary released in 2008 about the 8K scanning and restoration process undertaken with the original film stock

Baraka was shot on 70mm film and then scanned at an oversampled 8K Ultra High Resolution (8,192 pixels across the frame) with DTS-HD Master Audio 5.1 @96k/24bits. It was then output onto Blu-ray in Full High Definition 1080p at a 16:9 Widescreen aspect ratio.

The scan done at 8K was oversampled, which means the film was scanned at a higher resolution than what was necessary for the final 1080p output that they intended and produced.

The purpose of scanning at 8K though was to create a super sharp, but down-sampled version of the film scan once it was output at Full HD 1080p. Thus, the resulting image from the 8K scan is a sharper quality 1080p output than if they had just scanned the film at 1080p or at a 4K scan resolution. The 1080p output from the 8K scan is also now perhaps an even better quality version than the original film print when viewed digitally on either a 1080p or 4K display.

The unanswered question though is if an 8K scan from the 65mm native film stock would produce an even more desirable looking image at 4K than at the 1080p resolution output which they had decided upon for this production.

But without there being any 4K sample outputs available (AFAIK) from the original film print to 8K scan (in order to rule out whether or not a 4K output might introduce any undesirable flaws, artifacts, or reveal any weaknesses from the physical film print at such a high resolution scan) it remains a question that still can’t be fully addressed.

In this video they also briefly mention DVD, which may be a bit confusing, but I can confirm that the 8K scan was never output at 480p resolution and was only ever released at 1080p resolution on Blu-ray.

One can still purchase the full Baraka 1080p film on Blu-ray from the 8K scan, which also includes this short documentary titled "Restoration" as a special feature on the disc. The Blu-ray disc also includes another 1+ hour documentary titled "A Closer Look” which is a BTS documentary on the shooting and production of Baraka itself.

Thus, the full 1080p version of the Baraka film, the "A Closer Look" documentary, and this short "Restoration" documentary are all included together on a single Blu-ray disc which is available from the link here: https://amzn.to/2Ii5na4

A final note in that I do not possess any copyrights to the content of this video nor is it my intention to infringe upon any existing copyrights of this content in any way. I also have no personal connection or otherwise to the producers of this video or to the creators of the Baraka film.

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In this video on "Chat GPT for Programming", we will get started with programming using ChatGPT for absolute beginners. this video on ChatGPT for beginners will show you the chatbot's capabilities, which can range from generating code blocks out of thin air to completing and reviewing full-fledge programs. You can also learn how ChatGPT functions using a natural language, removing the need for learning any complex syntax.
If you are new to programming and want to know exactly how to get started with programming using ChatGPT, today's video is the perfect choice for you.

00:00 Chat GPT for Programming
01:36 How Does ChatGPT Works?
02:24 Why Do Programmers Use ChatGPT?
02:36 Code Generation
03:47 Code Completion
05:59 Code Review
07:13 Natural Language Interface

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#ChatGPTForProgramming #ProgrammingUsingChatGPT #ProgramWithChatGPT #CodingUsingChatGPT #ChatGPTForBeginners #ChatGPT #Chat_GPT #ChatGPTTutorial #OpenAI #AI #Simplilearn

ChatGPT generates responses to the text input using a method called transformer architecture. A large volume of text is fed into chatGpt from various sources, including books, websites, and other social media platforms. The model then uses this information to forecast the following word in a phrase based on the words that came before it.

Programming Using ChatGPT video helps Programmers to code efficiently, accurately, and in less time with minimum errors. The chatGPT system allows users to enter text or queries, and then the system uses its training data and algorithms to produce the right answer.

ChatGPT assists programmers by offering programming-related answers and solutions and helping them improve their skills. Besides that, ChatGPT is utilized for code generation, code completion, code review, and a natural language interface.

- Code generation: ChatGPT is trained to generate the code or even the entire program described in the natural language specified by what they want a program to do, and then the ChatGPT could generate the relevant code.

- Code completion: ChatGPT is trained to generate snippets of code or even full-fledged programs.

- Code review: ChatGPT can analyze code, identify the bugs or errors in the program, and further help resolve them.

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Accelerate your career with this Master's in Artificial Intelligence in conjunction with IBM. Industry-relevant courses, including Data Science with Python, Machine Learning, Deep Learning, and NLP, feature unique hackathons and Ask Me Anything sessions hosted by IBM. Get job-ready in the AI domain with Capstone projects, practical labs, live sessions, and hands-on projects.

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- Learn Artificial Intelligence's concept, purpose, domain breadth, phases, implementations, and impacts.
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- Learn basic programming features and technicalities, such as data types, tuples, lists, arrays, basic operators, and functions.
- Learn about data wrangling, data exploration, data visualization, hypothesis creation, and testing procedures in Data Science.
- Use the NumPy and SciPy packages for high-level mathematical and technical computing and the Pandas package for data analysis.
- More

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This Machine Learning tutorial will help you understand why Machine Learning came into the picture, what is Machine Learning, and the types of Machine Learning., Machine Learning algorithms with a detailed explanation on linear regression, decision tree & support vector machine, and at the end you will also see a use case implementation where we classify whether a recipe is of a cupcake or muffin using SVM algorithm.

Dataset Link - https://drive.google.com/drive..../folders/1W7kaFk2vUk

Machine Learning Tutorial Part - 2: https://www.youtube.com/watch?v=_Wkx_447zBM

00:00 - 00:45 Why Machine Learning?
00:45 - 04:52 What is Machine Learning?
04:52 - 11:34 Types of Machine Learning
11:34 - 16:41 Machine Learning Algorithms
16:41 - 25:43 Linear Regression
25:43 - 34:00 Decision Trees
34:00 - 36:02 Support Vector Machine
36:02 - 01:02:40 Use case: Classify whether a recipe is of a cupcake or a muffin using SVM

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi

Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning, and follow the path towards your dream career- https://bit.ly/2VTB8Nc

You can also go through the Slides here: https://goo.gl/m5Txob

Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

#MachineLearning #MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn

What is Machine Learning?
Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs learn, grow, change, and develop by themselves.

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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
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✅ Skills Covered

- ChatGPT
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This is the first of a series of two videos on AI Agents.
In here, we talk about the strengths and weaknesses of LLMs, focusing on a specific example: Why are LLMs unable to tell good jokes, yet they can write such good poems?
This sets the tone for the next video on AI Agents.

Second video - Agents, Reasoning Models, and RAG: https://www.youtube.com/watch?v=xXL0gMo9Lso

Host your n8n agents on Hostinger: https://www.hostinger.com/david
Use code David ;)

Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4

Wanna learn how to code with AI? Go here: https://www.skool.com/new-society

Follow me on Instagram - https://www.instagram.com/davidondrej1/
Follow me on Twitter - https://x.com/DavidOndrej1

Subscribe if you're serious about AI.

This is the ultimate guide about AI Agents.

www.vectal.ai

Join Maker School & get customer #1 guaranteed: https://skool.com/makerschool/about
Get all files from the course: https://drive.google.com/drive..../folders/1m182p16V_m
My silly podcast w Jack Roberts: www.youtube.com/@stackedpod

Summary ⤵️
The end-to-end, definitive course on Claude Code for beginners! I'll take you through a full four-hour masterclass where I start by teaching you how to set up and install Claude Code, how to configure your IDE or integrated development environment (we'll use Antigravity), how to utilize your CLAUDE.md file as your project brain, how to build your first project in Antigravity using Claude Code in under 15 minutes, advanced Claude Code functionality including hooks, slash commands, and more.

I also teach you how to spin up multiple Claude Code instances and have them work on your behalf; how to parallelize work using sub-agents; how to use Git work trees to accomplish many hours of work in just a few minutes; how to conserve tokens and use context management to crush your coding and software projects; how to deploy things to the cloud using Modal and related services, and in general... how to be awesome at Claude Code!

My software, tools, & deals (some give me kickbacks—thank you!)
🚀 Instantly: https://link.nicksaraev.com/instantly-short
📧 Anymailfinder: https://link.nicksaraev.com/amf-short
🤖 Apify: https://console.apify.com/sign-up (30% off with code 30NICKSARAEV)
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Follow me on other platforms 😈
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🤙 Blog: https://nicksaraev.com

Why watch?
If this is your first view—hi, I’m Nick! TLDR: I spent six years building automated businesses with Make.com (most notably 1SecondCopy, a content company that hit 7 figures). Today a lot of people talk about automation, but I’ve noticed that very few have practical, real world success making money with it. So this channel is me chiming in and showing you what *real* systems that make *real* revenue look like.

Hopefully I can help you improve your business, and in doing so, the rest of your life 🙏

Like, subscribe, and leave me a comment if you have a specific request! Thanks.

Chapters
00:00:00 Introduction to Claude Code
00:01:07 Learning the Basics of Claude Code
00:03:44 Setting Up Claude Code
00:08:05 Terminal vs. Graphical User Interface
00:12:23 Understanding IDEs
00:13:53 Exploring Visual Studio Code
00:19:11 Getting Started with Antigravity
00:24:01 Building Your First Web App with Claude Code
00:30:29 Utilizing the CLAUDE.md File (Project Brain)
00:34:40 Approaches to Website Design in CC +Antigravity
00:41:47 Importance of Verification in AI
00:54:42 Advanced Claude Code Functionality
00:55:13 Understanding the .claude Directory
02:01:24 Adjusting the Proposal Design
02:01:55 Testing Payment Functionality
02:05:20 Leveraging GitHub for Project Management
02:06:12 Setting Up the Project
02:07:50 The Power of Automation
02:13:53 Context Management Explained
02:19:56 Understanding MCP Tools
02:27:23 Strategies for Token Management
02:35:29 Creating Skills for Efficiency
02:41:15 The Structure of Skills
02:44:39 Building a New Skill
02:50:58 Introduction to Model Context Protocol
02:58:15 Evaluating Token Usage in MCPs
03:07:57 Gmail Label Insights
03:09:07 Exploring Claude Code Plugins
03:11:08 Introduction to Sub-Agents
03:12:15 Transforming Skills into Sub-Agents
03:14:14 Scaling Email Classification
03:18:54 Creating Useful Sub-Agents
03:26:27 Understanding Agent Teams
03:32:59 Enabling and Using Agent Teams
04:02:34 Utilizing Git Worktrees
04:03:08 Deploying APIs with Modal

Tensors are super important for neural networks, but can be confusing because different people use the word "Tensor" differently. In this StatQuest, we clear this up and tell you what the big deal is. BAM!

NOTE: If you are not already familiar with Neural Networks, check out the Neural Network playlist: https://www.youtube.com/watch?v=CqOfi41LfDw&list=PLblh5JKOoLUIxGDQs4LFFD--41Vzf-ME1

For a complete index of all the StatQuest videos, check out...
https://app.learney.me/maps/StatQuest
...or...
https://statquest.org/video-index/

If you'd like to support StatQuest, please consider...

Buying my book, The StatQuest Illustrated Guide to Machine Learning:
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...or just donating to StatQuest!
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Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
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0:00 Awesome song and introduction
1:34 Why we need Tensors
4:52 Tensors store data
6:51 Tensors have hardware acceleration
7:37 Tensors have automatic differentiation

#StatQuest #Tensors #NeuralNetworks

** Machine Learning Training with Python: https://www.edureka.co/data-sc....ience-python-certifi **
This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.
Topics covered in this session:
00:00 Introduction
00:33 Google Maps
02:01 Facebook
03:38 UberEats
05:15 Amazon
06:16 iPhone
07:52 Tesla
09:49 Netflix
10:32 Moley
11:43 Google Translate
12:43 Kuka

Check out our playlist for more videos: http://bit.ly/2taym8X

Subscribe to our channel to get video updates. Hit the subscribe button above.
#MachineLearningApplications #MachineLearningUsingPython #MachineLearningTraining

How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!


- - - - - - - - - - - - - - - - -
About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

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

Why learn Machine Learning with Python?

Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free)

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MIT 6.7960 Deep Learning, Fall 2024
Instructor: Sara Beery
View the complete course: https://ocw.mit.edu/courses/6-....7960-deep-learning-f
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This video provides a course overview and introduces deep neural networks, covering their fundamental concepts and basic building blocks. It sets the stage for understanding how these models work and what components they are built from.

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