Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Как долго вы можете обходиться без кислорода?
Мировой рекорд сегодня — 24 минуты 37 секунд. Естественно, без многолетних тренировок, специальной подготовки и кое-каких научных ухищрений такого результата не добиться, но слегка улучшить свой личный рекорд не так уж и сложно, если браться за это грамотно и со знанием дела. В этом видео Veritasium Дерек Маллер расскажет, что именно происходит с нашим организмом, когда мы задерживаем дыхание, и как делать это правильно.

Делитесь в комментариях своими рекордами 👇

Рекомендации по задержке дыхания [ENG]: https://www.eliteperformancedesign.com/

Перевод: Елена Смотрова
Редактура: Егор Афонин
Научная редактура: Евгений Момотюк
Озвучка: Дмитрий Чепусов, Алексей Никитин, Лиза Чабан
Монтаж звука: Андрей Фокин
Монтаж видео: Юрий Хомяков
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, Amir, Мikhail Samin, Куляш, Oleg Zingilevskiy, opperatius, Vitaliy Vachynyuk, Mykola Korniichuk, Anatoly Zapadinsky, Eugene Tsaplin, Pavel Parpura, Anton Bolotov, Katoto Chan, Ника Калмыкова, Ihar Marozau, Irina Shakhverdova, Aleksei Shabalin, Kirill Zaslavskii, Victor Cazacov, Oleksandr Hrebeniuk, Timur Sattarov, VEG, Vladimir Sharich, Maxim Korotkov, Morock_D, Alexander Goida, Alex Kulakov, Leonid Steinberg, Anna Ostrovskaya, Alexander Lebedev, Lexx, Nikrodol, Rashn, Rincewind, Sonra44, Виктор Харламов, Шурик Самара, Artem Piskarev, Artem Sobolenkov, Artem Sobolenkov, Being of Whiteout, Cyril Anonimov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, Timur Rahmatulin, asdadasa, dv0, pervprog, Адам Шифф, Александр Денисов, Арс Ник, Василий , Глеб Кочергин, Дмитрий Казанов, Иван Новиков, Илья Зверев, Кожаный Гусь, Никита Омельницкий, Никита Омельницкий, Никита Омельницкий, Никита Цикалин, Тимур Абдуллин.

#vertdider #veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium
Источник: https://www.youtube.com/watch?v=Is2Lip1cJUc

Siempre quise saber por qué las películas de cine se veían mejor que las de video. Las imágenes electrónicas en movimiento tienen una larga historia, pero fueron inventadas con un propósito diferente. 📺 SUSCRÍBETE para ver todos nuestros videos:http://bit.ly/Suscribirse_Veritasium_en_español

Quiénes de ustedes se han criado viendo un tubo de rayos de catódicos. Los televisores eran aparatos que podían llegar a ser muy grandes y pesados. Pero la tecnología avanzó y cada vez es más difícil encontrarlos.

Este es un video que he querido hacer desde hace mucho tiempo, sobre qué hace que un video se vea como un video y, hasta hace 10 años más o menos, no se veía tan atractivo como las películas de cine. Crecí con las dos tecnologías en paralelo (cintas de cine y de video) y siempre me parecieron dos formas de lograr los mismos fines: grabar y reproducir imágenes en movimiento.
Pero sus historias son bastante distintas. El cine siempre fue una forma de capturar imágenes en movimiento para su posterior reproducción.
El video comenzó como una forma de transferir imágenes de un lugar a otro instantáneamente. Esto se remonta a la primera máquina de fax, la televisión mecánica, la televisión en directo y, finalmente, las cintas de video.
Esta historia se centra en las primeras décadas del vídeo y no en los más recientes cambios a las cámaras de chip y el almacenamiento en estado sólido. Tal vez esa sea una historia para otro día.

Muchas gracias a:

Richard Diehl, Video Labguy https://www.youtube.com/user/videolabguy
https://www.labguysworld.com

Branch Education por sus animaciones impresionantes
https://ve42.co/BranchEd

Minutephysics por las animaciones de la TV mecánica
https://www.youtube.com/minutephysics

Mark Schubin
Ingeniero y divulgador, becario de por vida del SMPTE
https://www.smpte.org


Fuentes y referencias adicionales:

The Dawn of Tape: Transmission Device as Preservation Medium
https://ve42.co/dawnoftape

What Sparked Video Research in 1877? The Overlooked Role of the Siemens Artificial Eye
https://ve42.co/sparkvideo

Video Preservation Website:
https://cool.culturalheritage.....org/videopreservatio
Image Orthicon Tube:
http://interiorcommunicationse....lectrician.tpub.com/
Film vs Digital
https://stephenfollows.com/film-vs-digital/
Eyes of a Generation:
http://eyesofageneration.com

Television in the US:
https://www.youtube.com/redirect?event=video_description&v=rjDX5ItsOnQ&redir_token=659XFg6LdOuhcg9MgOOwI7cHP3d8MTU5MDAwODI5MkAxNTg5OTIxODky&q=http%3A%2F%2Fwww3.northern.edu%2Fwild%2Fth100%2Ftv.htm
http://www.classictvinfo.com

Música de https://www.epidemicsound.com "Seaweed" "Capture a Picture 1" "Colorful Animation 4"

Video en Inglés del Canal @veritasium :
https://www.youtube.com/watch?v=rjDX5ItsOnQ
------------------------------------------------------------------------
🕹 Este canal de Youtube es administrado por: https://www.unilingo.tv/
❓Comentarios o sugerencias de traducción: [email protected]
------------------------------------------------------------------------
#veritasiumenespañol

Помощь проекту: https://www.patreon.com/VertDider

Скорпионы светятся под ультрафиолетовой лампой, и долгие годы никто не знал, зачем им эта способность. Может быть, она и вовсе не нужна, а просто осталась со стародавних времён. Карл Клук выдвинул несколько гипотез и пришёл к выводу, что, похоже, флуоресценция помогает скорпионам решать, стоит ли выходить на охоту или лучше остаться дома.

Перевод: Алексей Малов
Редактура: Елена Смотрова
Научная редактура: Евгений Момотюк
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider
Озвучки Vert Dider выходят с вашей помощью:

Maria Zvereva, Pavel Dunaev, Oleksii Leonov, Yegor Barakovskiy, Mikhail Stolpovskiy, Illarion Petrov, Andrew Dzhur, Евгений Колмаков, Andrey Chizh, Linar Khusnullin, Дмитрий Глазнев, Кирилл Л, Anton Borkovski, Ilya, smiler, Антон Малинин, Roman Inflianskas, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Евгений Сельменев, Alex Afalex, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Katoto Chan, Anton Makiievskyi, mol9ko, Taleh Zaliyev, Аддон, Irina Slavgorodskaya, Arthur Skobara, 666.13FM, Andrew Rumyantsev, Marianna Sumina, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Дмитрий, Julia, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Лиля Малкова, Natalie Kulinicheva, Ilya Afanasyev, Marat Bakirov, Ирина Завтонова, Anastasia, Andrew Rumak, Andrey Istomin, Марина Малинкина, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, Юрий Медведев, Анна Троссман, Serj Skidan, L Marchenko, Nadia Kilgishova, Andrey Rusanov, Inna Klymenko, Dmitriy Lashtaba, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Otto Kester, Claudia Barzaeva, Lirin Alex, Konstantin Pesyakov, Denis Titusov, Viktoria, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky

#VertDider #Veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/f-Nr2z5X7Rs

✅ 𝗔𝗚𝗢𝗥𝗔 𝗘𝗨 𝗧𝗘𝗡𝗛𝗢 𝗨𝗠 𝗖𝗨𝗥𝗦𝗢 😍
▸ Olha que massa que ficou: https://curso.dev/

✅ALURA COM 10% DE DESCONTO: https://www.alura.com.br/promocao/news-deschamps

✅ÍNDICE:

01 - Diferença entre todos os termos: https://www.youtube.com/watch?v=ccZ2pyr3YDw&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=2
02 - Introdução ao Python: https://www.youtube.com/watch?v=Gojqw9BQ5qY&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=2
03 - Introdução a Data Science: https://www.youtube.com/watch?v=F608hzn_ygo&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=3
04 - Introdução a Machine Learning: https://www.youtube.com/watch?v=JyGGMyR3x5I&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=4
05 - Introdução a Data Visualization: https://www.youtube.com/watch?v=qLiEDvs57nk&list=PLMdYygf53DP7YZiFUtGTWJJlvynRyrna-&index=5

Este é o primeiro vídeo de uma playlist SENSACIONAL sobre Inteligência Artificial e que conta com o apoio da Alura e o seu co-fundador Guilherme Silveira.

Este vídeo serve para dar uma visão macro de todos os termos geralmente relacionados ao tópico "Inteligência Artificial" como por exemplo Machine Learning (Aprendizado de Máquina), Data Science (Cientista de Dados), Deep Learning e até coisas como Data Visualization. Chegou a hora de clarearmos na nossa cabeça esses termos e inclusive colocar a mão na massa!!!

Alura, muito obrigado pelo apoio ao canal, tanto por trazer um conteúdo que vai mudar a vida de muita gente quanto por garantir o emprego a longo prazo de todo mundo que seguir essa playlist!

Se você também quiser apoiar a Alura, confira os cursos deles com 10% de desconto no link abaixo:

✅ CURSOS COM 10% DE DESCONTO: https://www.alura.com.br/promocao/news-deschamps


✅ 𝗚𝗢𝗦𝗧𝗔 𝗗𝗘 𝗡𝗢𝗧𝗜𝗖𝗜𝗔𝗦 𝗦𝗢𝗕𝗥𝗘 𝗧𝗘𝗖𝗡𝗢𝗟𝗢𝗚𝗜𝗔?

▸ Então você vai pirar nisso: https://filipedeschamps.com.br/newsletter


✅ 𝗢𝗟𝗛𝗔 𝗤𝗨𝗘 𝗠𝗔𝗦𝗦𝗔!

▸ Se essas conversas aqui estão fazendo você perceber coisas diferentes no seu código, ou na sua profissão de desenvolvedor, considera se tornar um Membro da Turma. É muito massa porque dá pra ter uma conversa muito mais próxima e discutir coisas bem diferentes e super importantes do nosso dia a dia: https://www.youtube.com/FilipeDeschamps/join


✅ 𝗢𝗦 𝗠𝗘𝗟𝗛𝗢𝗥𝗘𝗦 𝗩𝗜𝗗𝗘𝗢𝗦 𝗗𝗢 𝗖𝗔𝗡𝗔𝗟

▸ Preguiça: Descobri Como Consertar o Meu Maior Problema
https://youtu.be/rHANBi7E2cI

▸ 3 Técnicas Que Eu Uso Para Aprender a Programar Qualquer Coisa
https://youtu.be/ZtMzB5CoekE

▸ SOLID fica FÁCIL com Essas Ilustrações
https://youtu.be/6SfrO3D4dHM

▸ Eu fiz um dos melhores cursos de Programação do Mundo!
https://youtu.be/elIl48sZ3rA

▸ Desafio: 10 projetos rápidos para treinar Programação e conseguir um Emprego
https://youtu.be/fYR9L2ZmodM

In this video I walk through a general text generator based on a character level RNN coded with an LSTM in Pytorch in the application of generating new baby names.

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

GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning

✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson

❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI

✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc

▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson

PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf

If deep neural networks are so powerful, why aren’t they used more often? The reason is that they are very difficult to train due to an issue known as the vanishing gradient.

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

To train a neural network over a large set of labelled data, you must continuously compute the difference between the network’s predicted output and the actual output. This difference is called the cost, and the process for training a net is known as backpropagation, or backprop. During backprop, weights and biases are tweaked slightly until the lowest possible cost is achieved. An important aspect of this process is the gradient, which is a measure of how much the cost changes with respect to a change in a weight or bias value.

Backprop suffers from a fundamental problem known as the vanishing gradient. During training, the gradient decreases in value back through the net. Because higher gradient values lead to faster training, the layers closest to the input layer take the longest to train. Unfortunately, these initial layers are responsible for detecting the simple patterns in the data, while the later layers help to combine the simple patterns into complex patterns. Without properly detecting simple patterns, a deep net will not have the building blocks necessary to handle the complexity. This problem is the equivalent of to trying to build a house without the proper foundation.

Have you ever had this difficulty while using backpropagation? Please comment and let me know your thoughts.

So what causes the gradient to decay back through the net? Backprop, as the name suggests, requires the gradient to be calculated first at the output layer, then backwards across the net to the first hidden layer. Each time the gradient is calculated, the net must compute the product of all the previous gradients up to that point. Since all the gradients are fractions between 0 and 1 – and the product of fractions in this range results in a smaller fraction – the gradient continues to shrink.

For example, if the first two gradients are one fourth and one third, then the next gradient would be one fourth of one third, which is one twelfth. The following gradient would be one twelfth of one fourth, which is one forty-eighth, and so on. Since the layers near the input layer receive the smallest gradients, the net would take a very long time to train. As a subsequent result, the overall accuracy would suffer.

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code: "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/data-sc....ience-certification-
This Edureka "Statistics & PRobability For Data Science" video will introduce you to the concepts of statistics using Data Science. You will learn about Descriptive and Inferential statistics in detail with a demo. The following topics are covered in this Statistics for Data Science tutorial:
00:00:00 Introduction
00:01:11 Probability
00:02:13 Probability - Terminologies
00:03:33 Probability - Types of Events
00:04:46 Probability - Distribution
00:05:10 Probability - PDF
00:07:00 Probability - Normal Distribution
00:11:36 Probability - Central Limit Theorem
00:11:40 Probability - Types of Probability
00:12:01 Probability - Marginal Probability
00:12:48 Probability - Joint Probability
00:13:14 Probability - Conditional Probability
00:15:11 Probability - Bayes Theorem
00:16:30 Probability - Applications
00:17:12 Statistics
00:17:40 Statistics - Terminologies
00:19:12 Statistics - Sampling technique
00:21:30 Statistics - Types of Statistics
00:24:26 Statistics - Measures of Center
00:26:02 Statistics - Measures of Spread
00:32:22 Statistics - Hands-on
00:33:26 Statistics - Information Gain
00:38:32 Statistics - Inferential Statistics

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

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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In this video on Project Management Full Course, we shall begin learning the basics of project management. As we move forward, we shall verse ourselves with different project management concepts like project planning, project time, cost quality and communication management. We will learn about project manager roles and different project management tools. Finally, we shall see some Project Management interview questions to excel in any Project Management interview.
By the end of this course, you'll have everything you need to know about Project Management. So without further ado, let's jump in!

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What is Project Management?
Project management is the process of overseeing a team's work to complete all project objectives within the established parameters. The project documentation that is created at the start of the development process typically contains descriptions of this information. The three main restraints are budget, time, and scope. Optimizing the distribution of necessary inputs and using them to achieve pre-established goals is the secondary challenge.
Post Graduate Program in Project Management.
What is Project Planning?
Project planning, which involves using schedules like Gantt charts to plan and then report progress within the project environment, includes project planning. Using project management software or manually planning a project are both options.

Become a digital-age project leader with our Post Graduate Program in Project Management in partnership with the University of Massachusetts Amherst. Aligned with the Project Management Professional (PMP) certification, learn the frameworks, tools, and skills to drive transformational projects. The Post Graduate Program in Project Management focuses on managing quality, risk and complexity, delivering results, understanding strategy, and implementing best practices. This program aligns with the Project Management Institute standards and provides an opportunity to earn 146 PDUs required for renewal of multiple project management certifications.

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