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Big data is a field that has become immensely popular in the last decade. With vast amounts of data getting generated every second, companies are now looking for technologies to handle it efficiently. In this crash course video, you will learn a widely used big data technology, i.e., Hadoop and the different tools and frameworks. You will understand the various components of Hadoop, such as HDFS, MapReduce, and YARN. You will then learn about Sqoop, HBase, Hive, and Pig in detail, along with a hands-on demo for each of these tools.

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00:00:00 Big data basics
00:04:55 Cloudera Hadoop installation
00:25:06 Hadoop ecosystem
00:25:25 Why Hadoop
00:32:24 What is Hadoop
00:37:28 Hadoop HDFC
01:03:20 What is MapReduce
01:11:45 What is YARN
01:41:06 Demo on HDFC, MapReduce and YARN
02:11:53 What is Sqoop
02:11:33 Sqoop Import
02:16:30 Demo on sqoop
02:36:24 Flume
02:37:55 What is Pig
02:39:54 Demo on pig
02:53:54 Hive
02:55:37 Demo on HiveQL
03:20:15 Spark
03:31:50 Introduction to HBase
03:47:19 Demo on HBase

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/tableau....-certification-train (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
"Level of Detail" is a new syntax which, both, simplifies and extends Tableau’s calculation language by making it possible to address level of detail questions directly. In this Edureka tutorial, you’ll gain insights into how LOD Expressions work, along with a more in-depth look at the different types of LOD Expressions and their respective use cases.
00:00:00 Agenda
00:01:23 Introduction to LOD
00:01:33 Questions arising while dealing with data
00:02:35 Shelves affecting LOD Aggregates
00:02:56 Types of LOD Expressions'
00:03:15 Working of LOD Expressions
00:10:11 Adding LOD Expressions to the Views
00:11:20 Nesting in Level of Detail
00:12:15 Data Sources supported by LOD
00:12:35 How to create Level of detail expression
00:17:03 Level of Detail vs Table of Calculations
00:18:09 Limitations of LOD

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🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

This video will teach you how to use openai's gpt-2 to create a custom model for text generation. This allows you to generate text based on more specific information which can render better results when using the AI to create text.

If you missed the first video explaining how to launch gpt-2 on your local machine, here is the link: https://www.youtube.com/watch?v=UH3mCaB7Quc&t=168s

For more learning materials visit Alizarin9.com and subscribe to the channel to stay up to date with our content.

In this video I'll be explaining the REAL reason your GPT-3 fine tunes suck and how to fix them! Fine tuning GPT-3 is a hugely important weapon in the AI entrepreneur's arsenal so understanding properly is crucial. If you've been struggling with your fine-tuned models not giving the output you want then this is the video for you!

I'll be covering two reasons why you aren't getting the outcome you want and two possible solutions.

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Timestamps:
0:00 - Intro
0:44 - Reason #1
2:16 - Reason #2
5:39 - Adding More Data?
8:40 - Work with me
9:58 - Recap

About Me 👋🏼
Hi! My name is Liam Ottley and I’m an AI developer and entrepreneur, founder of my own AI development company: Morningside AI (https://morningside.ai). You’ve found my YouTube channel where I help other entrepreneur’s wrap their heads around AI with tutorials on how to get started with building AI apps!

With developments in AI moving so fast, I’m constantly working on my own projects and those of clients and sharing my learnings with my viewers 2-3x per week.

I don’t have anything to sell you, my only hope is that one day some of you will learn enough from my videos to see an exciting opportunity in the AI space and want to work with my development company to make it a reality.

I tried the new AI tool for Logseq, and the result seems promising! Of course, GPT-3 won't magically make you smarter, but it does save you some time and helps you write more.

We're now seeing more and more AI writing tools like LEX and Jasper, but are there going to be more AI note-taking tools too?

Mentioned Tools:
LEX: https://lex.page/
Jasper: https://www.jasper.ai/
Napkin: https://napkin.one/?via=shu
Mem: https://get.mem.ai/
Logseq: https://logseq.com/
OpenAI: https://openai.com/api/


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📝 My Amplenote Course: https://tool-academy.teachable.....com/p/amplenote-mad ▬▬▬▬▬▬▬▬▬▬VIDEOS YOU MAY LIKE▬▬▬▬▬▬▬▬▬▬
- Why is EVERYONE Using This Note App? https://www.youtube.com/watch?v=aXZ48CrA-So

- Why I Switched From Todoist to Amplenote: https://www.youtube.com/watch?v=qZ8ljrXYva0&t=1s

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Logseq: https://logseq.com/
Obsidian: https://obsidian.md/

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Use this prompt to have Chat GPT magically create a months worth of social media posts for your business.

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#chatgpt #openai #jasonwest

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐍𝐨𝐝𝐞.𝐣𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/nodejs-....certification-traini (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka "Introduction to Node.js" video will help you to learn the Node.js fundamentals and how to create an application in Node.js. Node.js is an open-source, cross-platform JavaScript runtime environment for developing a diverse variety of server tools and applications.

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥Data Analyst Program (Discount Coupon: YTBE15) : https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=TableauExpFSAug11-DlBIhpDjhbY&utm_medium=Descriptionff&utm_source=youtube
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This video on "Tableau Expert Full Course" will help beginners to learn the Tableau Fundamentals with a detailed theoretical explanation. The Tableau training video includes practical examples and extensive demo sessions for a better learning experience. This Tableau tutorial will help you master tableau from scratch.

Below topics are covered in this Tableau Full Course video:
00:00:00 - 00:01:41 - Getting started
00:01:41 - 00:17:43 - Introduction to Tableau
00:17:43 - 00:39:15 - Data connections in Tableau
00:39:15 - 00:46:23 - Data joining and Blending using Tableau
00:46:23 - 00:51:35 - Data extracts in Tableau
00:51:35 - 00:56:37 - Data sources and Kerberos authentication
00:56:37 - 01:00:39 - Optimizing Performance
01:00:39 - 01:24:32 - Calculation in Tableau
01:24:32 - 01:48:34 - Aggregations and Table calculation using Tableau
01:48:32 - 02:00:56 - Box plots
02:00:56 - 02:17:05 - Formatting and Annotations
02:17:05 - 02:45:49 - Filtering Data
02:45:49 - 02:48:19 - Sorting of Data
02:48:19 - 02:54:47 - Combined fields, Groups and Sets
02:54:47 - 02:59:45 - Hierarchy and Drill Down in Tableau
02:59:45 - 03:05:53 - Grand totals and subtotals
03:05:53 - 03:51:55 - Mapping, Data Blending and Sorting
03:51:55 - 04:05:30 - Date Hierarchies
04:05:30 - 04:31:18 - What are parameters in Tableau?
04:31:18 - 04:52:08 - What are LOD expressions in Tableau?
04:52:08 - 07:23:48 - Tableau Dashboard Use Cases
07:23:48 - 08:26:56 - Tableau Interview Questions

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What is Tableau Software?
Tableau Software apps are one of the most advanced platforms for data analytics and data visualization. Tableau can connect with multiple data sources such as text files, excel files, SQL databases, JSON and XML files as well as with big data queries. Tableau Public and Tableau Reader are free to use. Tableau Server and Tableau Desktop come with a 14 day free trial period. Tableau has multiple options to present data in different views, applying filters, drill-downs and formatting. You can create different charts, form sets, groups, generate trend lines and perform forecasting.

About Simplilearn Tableau Certification Training Course:
This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics by learning Tableau and how to best use this training in your work. Simplilearn’s Tableau certification training helps you learn how to build visualizations, organize data, and design dashboards to empower more meaningful business decisions.

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Tableau has regularly been ranked as a “leader” in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Proficiency in Tableau is extremely valued in the field of analytics as it is a preferred reporting tool for enterprises around the world.

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✅ Four real-time Industry projects
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/tableau....-certification-train (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
Tableau can create interactive visualizations customized for the target audience. In this "Tableau Online" tutorial, you shall get acquainted with its well-known cloud-hosted version. It distributes visions and insights and discoveries with all. Anyone can easily utilize features of tableau online access through, tableau mobile apps.
Topics Covered:
00:00:00 Introduction
00:01:56 What is Tableau ?
00:02:32 Need for Tableau Online
00:04:33 What is Tableau Online?
00:06:18 Hands on

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This Deep Learning full course covers all the concepts and techniques that will help you become an expert in Deep Learning. First, you will learn the basics of Deep Learning and understand how to install TensorFlow, what TensorFlow is, TensorFlow Object detection API works, different Deep Learning frameworks, convolutional neural networks, recurrent neural networks in Python, Deep Learning applications, and look at the essential interview questions.

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Dataset link - https://drive.google.com/drive..../folders/1COH2WuRtru

Below topics are explained in this Deep Learning full course video:
1. Deep Learning
2. Working of neural networks
3. Horus Technology
4. What is Deep Learning?
5. Image Recognition
6. Why do we need Deep Learning?
7. Applications of Deep Learning
8. What is a Neural Network?
9. Biological Neuron vs Artificial Neuron
10. Why are Deep Neural Nets hard to train?
11. Neural Network Prediction
12. Top Deep Learning Libraries
13. Why TensorFlow?
14. What is TensorFlow?
15. What are Tensors?
16. What is a Data Flow graph?
17. Program Elements in TensorFlow
18.TensorFlow program basics
19. Use case Implementation using TensorFlow
20.TensorFlow Object Detection
21. COCO Dataset
22.TensorFlow Object Detection API Tutorial
23. Deep Learning Frameworks
24. Keras
25.PyTorch
26. How image recognition works?
27. How does CNN recognizes images?
28. Types of Recurrent Neural Network
29. Working of LSTMs
30. Deep Learning Applications


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Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you'll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks, and traverse layers of data abstraction to understand the power of data and prepare you for your new role as a deep learning scientist.

You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:

1. Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
2. Implement deep learning algorithms, understand neural networks, and traverse the layers of data abstraction, which will empower you to understand data like never before
3. Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces

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Learn about vector embeddings and how to use them in your machine learning and artificial intelligence projects. Learn how to create an AI assistant with vector embeddings. You'll use OpenAI's GPT-4 API, LangChain, and Natural Language Processing techniques (NLP).

✏️ Course created by @AniaKubow

⭐️ Contents ⭐️
⌨️ (00:27) Introduction
⌨️ (01:49) What are vector embeddings?
⌨️ (02:14) Text embeddings
⌨️ (07:58) What are vector embeddings used for?
⌨️ (11:05) How to generate our own text embedding with OpenAI
⌨️ (14:37) Vectors and databases
⌨️ (16:02) Getting our database set up
⌨️ (18:05) Langchain
⌨️ (19:24) Let’s build an Ai Assistant

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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React: Use Array.map() to Dynamically Render Elements
#100DaysOfCode

User Stories, Epics, and Personas help organize all the needs of a project so it is clear what needs to be done.

They are used in many developer jobs for planning projects so it is helpful to know what they are and how to create them.

Video by Anissa Deanna.
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/devops-....certification-traini
This Edureka Git Full Course video will help you understand and learn the fundamentals of Git . This Git Tutorial is ideal for both beginners as well as professionals who want to master the fundamentals of Git. Below are the topics covered in this git full course tutorial for beginners :
00:00:00 Introduction
00:01:00 Agenda
00:02:26 What is Git
00:18:31 Git features
00:24:10 Git Installation & Setup
00:26:56 Git Operations & Commands
00:54:48 Introduction to SSH Keys
01:14:18 Git Basic Commands
01:20:21 Git Branching
01:27:15 WOrking with Remote Repositories
01:32:02 Advanced Git Commands
01:44:32 GitHub Basics
01:44:08 What is GitHub
01:46:22 Getting Started with GitHub
01:53:32 Creating a New Repository
01:58:55 Creating a Branch
02:09:07 Case study
02:11:07 GitHub Workflow
02:15:55 GitHub Flow
02:22:58 GitBash
02:27:43 How to Install GitBash in Windows
02:46:29 GitHub Repository
03:11:21 Compare Remote Repos
03:13:23 Compare the Local Git branch with remote
03:19:22 Pull request
03:20:55 Creating a pull request from a fork
03:24:07 GitLab CI/CD Pipeline
03:26:50 CI-CD Pipeline
03:32:02 Why use GitLab
03:39:49 Git Branching and Stashing
03:42:02 what is Branching
03:44:02 Git storage strategy
03:58:59 Merge Conflict
04:04:44 Stashing
04:13:03 Git WOrkflow
04:26:09 Centralized WOrkflow
04:35:17 Git Rebase
04:39:51 Golden Rule of Git Rebase
04:44:27 Rebase Commands
04:46:19 Rebase Configuration Options
04:52:44 Difference between merge and Rebase
04:56:38 What is Jenkins
05:09:38 What are webhooks
05:11:26 How to build a webhook
05:17:35 What are GitOps
05:27:03 Giw GitOps Works
05:30:59 Git Beginners interview questions
05:42:37 Git Intermediate Interview Questions
05:56:38 Git Advanced Interview Questions

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/


Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

From the "697: The (Short) Path to Artificial General Intelligence", in which AI visionary and CEO of SingularityNET Dr. Ben Goertzel joins @JonKrohnLearns to provide a deep dive into the possible realization of Artificial General Intelligence (AGI) within 3-7 years.

Watch, listen to, or read the full episode at https://www.superdatascience.com/697

Discover strange new universes that turn up at the core of Einstein’s General Relativity. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.

If you’re looking for a molecular modeling kit, try Snatoms – a kit I invented where the atoms snap together magnetically – https://ve42.co/SnatomsV

▀▀▀
A massive thank you to Prof. Alex Kontorovich for all his help with this video.

A huge thank you to Prof. Geraint Lewis and Dr. Ashmeet Singh for helping us understand the applications of Non-Euclidean geometry in astronomy/cosmology.

Lastly, a big thank you to Dr. Henry Segerman and Dr. Rémi Coulon for helping us visualize what it’s like to be inside hyperbolic space and helping us understand hyperbolic geometry.

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Images:
Euclid via Science Museum Group - https://ve42.co/Euclid

Geodesy survey via ams - https://ve42.co/Geodesy

John Wheeler via NAS Online - https://ve42.co/Wheeler

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References:
Dunham, W. (1991). Journey through Genius: Great Theorems of Mathematics. John Wiley & Sons.

Bonola, R. (1955). Non-Euclidean geometry: A critical and historical study of its development. Courier Corporation.

Library of Congress. (n.d.). The Library of Congress. - https://ve42.co/LibofCongress

Euclid’s Elements, Wikipedia - https://ve42.co/Elements

The History of Non-Euclidean Geometry, Extra History via YouTube - https://ve42.co/ExtraHistory

We (could) live on a 4D Pringle - Physics for the Birds via YouTube - https://ve42.co/4DPringle

Parallel Postulate, Wikipedia - https://ve42.co/Parallel

Prékopa, A., & Molnár, E. (Eds.). (2006). Non-euclidean geometries: János Bolyai memorial volume (Vol. 581). Springer Science & Business Media.

St Andrews, University of. (n.d.). Bolyai. MacTutor History of Mathematics. - https://ve42.co/Bolyai

Bolyai, J. (1896). The Science Absolute of Space.. (Vol. 3). The Neomon.

Gauss, Wikipedia - https://ve42.co/Gauss

Singh, U. (2022). Gauss-Bolyai-Lobachevsky: The dawn of non-euclidean geometry. Medium. - https://ve42.co/CPNonEuclidean

Landvermessung, D. Z. (1929). Abhandlungen ueber Gauss' wissenschaftliche Taetigkeit auf den Gebieten der Geodaesie, Physik und Astronomie Bd. 11, Abt. - https://ve42.co/Landvermessung

Nikolai Lobachevsky, Wikipedia - https://ve42.co/Lobachevsky

Lobachevskiĭ, N. I. (1891). Geometrical researches on the theory of parallels. University of Texas.

A Problem with the Parallel Postulate, Numberphile via YouTube - https://ve42.co/NumberphileParallel

Riemann, B. (2016). On the hypotheses which lie at the bases of geometry. Birkhäuser. - https://ve42.co/Riemann

Einstein, A. (1905). On the electrodynamics of moving bodies. Annalen der physik, 17(10), 891-921. - https://ve42.co/Einstein1905

ESA/Hubble. (n.d.). Hubblecast 90: The final frontier of the Frontier Fields. ESA/Hubble. - https://ve42.co/Einstein1905

Agazie, G., et al. (2023). The NANOGrav 15 yr data set: Constraints on supermassive black hole binaries from the gravitational-wave background. - https://ve42.co/NANOGrav

Secrets of the Cosmic Microwave Background, PBS Spacetime via YouTube - https://ve42.co/PBSCMB

Wood, C. (2020). How Ancient Light Reveals the Universe's Contents. Quanta Magazine. - https://ve42.co/AncientLight

Collaboration (2014). Planck 2013 results. XVI. Cosmological parameters. A&A, 571, A16. - https://ve42.co/Planck2013

WMAP Science Team, NASA. (2014). Matter in the Universe. WMAP, NASA. - https://ve42.co/WMAP2014

What Is The Shape of Space, minutephysics via YouTube - https://ve42.co/SpaceShape

Shape of the universe, Wikipedia - https://ve42.co/UniverseShape

Crocheting Hyperbolic Planes: Daina Taimina by Ted, via YouTube - https://ve42.co/Hyperbolic

Hyperbolic Crochet model - https://ve42.co/Crochet

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Directed by Casper Mebius
Written by Casper Mebius, Petr Lebedev, Emily Zhang, Derek Muller, and Alex Kontorovich
Edited by Jack Saxon
Animated by Fabio Albertelli, Ivy Tello, and Mike Radjabov
Illustrations by Jakub Misiek and Celia Bode
Filmed by Derek Muller
Produced by Casper Mebius, Derek Muller, and Han Evans

Additional video/photos supplied by Getty Images, Pond5, and by courtesy of: NASA, NASA's Goddard Space Flight Center, NASA Goddard Flight Lab/ CI Lab, NASA’s WMAP science teams, ESO, and ESA/Hubble.
Music from Epidemic Sound
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A todos les gusta el flujo laminar pero el flujo turbulento es realmente fascinante.
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Simulaciones de turbulencias de Pavol Dobryakov: https://paveldogreat.github.io..../WebGL-Fluid-Simulat

Me introduje en el flujo turbulento a través del caos. La transición a la turbulencia a veces implica un período de duplicación. La turbulencia en sí misma es un movimiento caótico, es impredecible y sensiblemente dependiente de las condiciones iniciales. Lo que me sorprendió es todas las formas en que el flujo turbulento nos es útil. Es difusivo, lo que significa que favorece que las cosas se mezclen. Esto es útil en los motores a reacción o en las toberas de los cohetes (que estudia Destin) y es importante conseguirlo en los dispositivos microfluídicos, que son tan pequeños que el flujo turbulento es realmente difícil de conseguir. El flujo turbulento puede energizar una capa límite, lo que es importante para mantener el flujo sobre un ala, manteniendo la sustentación y retrasando la pérdida. De manera similar, una capa límite turbulenta sobre una pelota de golf reduce la resistencia a la presión permitiendo que las pelotas de golf vuelen más lejos. Esta es la razón de los hoyos en las pelotas de golf. Este hermoso fenómeno puede verse en la calle de vórtices de von Kàrmàn en las nubes vistas desde el espacio. La turbulencia está en todas partes, en las corrientes de aire de una habitación, en la aorta, en las respiraciones que exhalamos, en los oleoductos y tuberías de agua, en el flujo sobre coches, barcos y aviones. Los animales han evolucionado para ello (como los peces muertos nadando río arriba) y hemos diseñado nuestro entorno, nuestros aviones y bolas de golf para ello. El flujo laminar puede ser agradable de ver (por eso lo usamos en fuentes decorativas) pero el flujo turbulento da el verdadero impulso.

Animaciones de:
Jonny Hyman (Sol, Júpiter, Reynolds, aerodinámica, lapso de tiempo de la Tierra)

Investigación y escritura:
AJ Fillo y Derek Muller. AJ también creó los tiros de pelota de golf del túnel del viento

Filmado por:
Daniel Bydlowski y Derek Muller

Material adicional:
Imágenes de Júpiter cortesía de la NASA
Turbulencia en las corrientes de aire por la Chica de la Física, Dan Walsh, y Grant Sanderson https://youtu.be/N7d_RWyOv20
https://youtu.be/_UoTTq651dE

La música:
illBird "Shaffuru" https://youtu.be/5rkt53fNMgc
De EpidemicSound https://epidemicsound.com "Seaweed" "Colorful Animation 4”
Kevin MacLeod https://incompetech.com "Sneaky Adventure"
Video en Inglés del Canal @veritasium :https://youtu.be/5zI9sG3pjVU
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/complete-web-developer (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on "How to become a Web Developer" highlights all the required skills you need to master in order to become a web developer. This will help you in taking the right step towards the world of web development.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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