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Visitamos la Armada de los Estados Unidos para probar los mejores anteojos de visión nocturna del mundo. Dirígete a https://brilliant.org/veritasium para comenzar tu prueba gratuita de 30 días, y las primeras 200 personas obtendrán un 20% de descuento en una suscripción premium anual.

Si estás buscando un kit de modelado molecular, visita https://ve42.co/SnatomsV para probar Snatoms, un kit que inventé donde los átomos se unen magnéticamente.

Un agradecimiento enorme al Dr. Ben Conley y a todo el equipo del Centro de Guerra Naval Surface, División Crane. Puedes conocer más sobre su trabajo aquí: https://www.navsea.navy.mil/Home/Warf...


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Referencias del video:
Tyson, J. (2001). Cómo funciona la visión nocturna. How Stuff Works. - https://ve42.co/HSWNightVision
Montoro, H. P. Intensificación de imágenes: la tecnología de la visión nocturna. Photonics. - https://ve42.co/PhotonicsTech
Brain Stuff - HowStuffWorks a través de YouTube - https://ve42.co/HSWVideo
Photonis a través de YouTube - https://ve42.co/Photonis
Operator Drewski a través de YouTube - https://ve42.co/NVGaming
Dispositivo de visión nocturna a través de Wikipedia - https://ve42.co/NVWiki
Intensificador de imagen a través de Wikipedia - https://ve42.co/Intensifier
Lodriguss, J. Cómo funcionan las cámaras digitales. AstroPix. - https://ve42.co/AstroPix
Kinka-Byo. (2019). ¿Cuál es la causa física del aumento de ruido a ISO alto? StackExchange. - https://ve42.co/PhotoISO
Macias, A. (2015). Las NVG secretas que usó el SEAL Team Six en la incursión contra Bin Laden. Business Insider. - https://ve42.co/BINightVision
Van Dommelen, L. Emisión termoiónica. Mecánica cuántica para ingenieros. - https://ve42.co/Thermoionic
Nave, R. (2016). Radiación de cuerpo negro. HyperPhysics. - https://ve42.co/BlackBody
Terminología de visión nocturna - Generaciones. ModArmory. - https://ve42.co/ModArmory
NASA (2018). Detectores de rayos X - Detección de corriente eléctrica. - https://ve42.co/NASAXRay

Imágenes y videos:
Informe de Osama Bin Laden, a través de CNN en YouTube - https://ve42.co/CNNOBL
Escena de incursión nocturna de Sicario, a través de Movieclips en YouTube - https://ve42.co/Sicario
Metraje de Splinter Cell, a través de Ubisoft en YouTube - https://ve42.co/SplinterCell
Escena de visión nocturna de Step Brothers, a través de masusockvevo en YouTube - https://ve42.co/StepBrothers
Informe de Ucrania, a través de CNN en YouTube - https://ve42.co/CNNUkraine
Metraje de la cámara de imagen térmica FLIR K2, a través de Teledyne FLIR en YouTube - https://ve42.co/FLIRK2
Imágenes del Observatorio de rayos X Chandra, a través de la NASA - https://ve42.co/NASAChandra

▀▀▀
Agradecimientos especiales a nuestros seguidores de Patreon:
Adam Foreman, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Chris Harper, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, John H. Austin, Jr., John Kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, Max Maladino, Meekay, Meg Noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

▀▀▀
Dirigido por Emily Zhang
Escrito por Emily Zhang y Derek Muller
Editado por Trenton Oliver
Animado por Mike Radjabov, Fabio Albertelli e Ivy Tello
Filmado por Trenton Oliver, Emily Zhang, Derek Muller y Raquel Nuno
Producido por Emily Zhang y Derek Muller

Miniatura por Ren Hurley
Video/fotos adicionales proporcionados por Getty Images y Pond5
Música de Epidemic Sound

Video en Inglés del Canal @Veritasium: https://youtu.be/UAeJHAFjwPM

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🕹 Este canal de Youtube es administrado por: https://www.unilingo.tv/
❓Comentarios o sugerencias de traducción: [email protected]

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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.

The number 37 is on your mind more than you think. Head to https://brilliant.org/veritasium to start your free 30-day trial and get 20% off an annual premium subscription.

Huge thanks to Tom Magliery for sharing his 37 collection with us. Support http://thirty-seven.org by sharing your own 37 sightings to [email protected]!
Thanks to Dr. Todd Landman, the Academic Magician, for sharing his footage of the 37 Force. - https://www.todd-landman.com/

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Special thanks to our Patreon supporters! Join the community to help us keep our videos free, forever: https://ve42.co/PatreonDE

Sam Lutfi, Lee Redden, Juan Benet, Richard Sundvall, Paul Peijzel, Gnare, Michael Krugman, Meekay, Ubiquity Ventures, Marinus Kuivenhoven, Bill Linder, Evgeny Skvortsov, Burt Humburg, Dave Kircher, Diffbot, john kiehl, Blake Byers, Stephen Wilcox, John H. Austin, Jr., Josh Hibschman, TTST, Orlando Bassotto, Anton Ragin, David Johnston, KeyWestr, Tj Steyn, meg noah, Chris Harper, Adam Foreman, Max Paladino, Balkrishna Heroor, I. H., Garrett Mueller, Bertrand Serlet, Kyi, wolfee, Matthias Wrobel

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

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References:
Simon, W. E. (1972). “Blue Seven Phenomenon” in Elementary and Jr. High Children. Psychological Reports - https://ve42.co/Simon1972
Trueman, J. (1979). Existence & Robustness of Blue Seven Phenomena. The Journal of General Psychology - https://ve42.co/Trueman1979
Saito, M. (1999). “Blue and Seven Phenomena” in Japanese Students. Perceptual & Motor Skills - https://ve42.co/Saito1999
Philbrick, J. L. (1976). Blue seven in East Africa: Preliminary report. Perceptual & Motor Skills - https://ve42.co/Philbrick1976
Hargreaves, S. (2009). The psychology of randomness. - https://ve42.co/Hargreaves2009
The 37 Force via The Magician’s Forum - https://ve42.co/37Force1
Fulves, K. (1979) Self-Working Mental Magic. Dover Publications, Inc. - https://ve42.co/Fulves1979
Random numbers via The Jargon File at catb.org - https://ve42.co/Jargon
Random Number Survey by MahoganyForest via Reddit - https://ve42.co/RedditRndm
Prime number theorem via Wikipedia - https://ve42.co/WikiPNT
Grossack, C. (2023). A truly incredible fact about the number 37. Grossack.site - https://ve42.co/Grossack2023
Least prime factor of n via oeis.org - https://ve42.co/LeastPrime
Fry, H. (2017). When should you settle down? ideas.ted.com - https://ve42.co/Fry2017
Choosing Toilets by Numberphile - https://www.youtube.com/watch?v=XIOoCKO-ybQ
Seaton, R. (2014). The Secretary Problem Explained: Dating Mathematically. rs.io - https://ve42.co/Seaton2014

Images & Video:
Just 37 by Tom Magliery - https://ve42.co/Just37
R4000 Processor via Molecular Expressions - https://ve42.co/micro37
The “37” Cluster by Noel Carboni - https://ve42.co/NGC2169
Charles Fleischer via Wikimedia - https://ve42.co/Fleischer

▀▀▀
Directed by Emily Zhang
Written by Emily Zhang and Derek Muller
Edited by Peter Nelson
Asst edited by Luke Molloy
Animated by Fabio Albertelli, Ivy Tello, and Leigh Williamson
Illustrated by Jakub Misiek
Filmed by Emily Zhang, Casper Mebius, Derek Muller, Michael Cimpher, and David Szasz
Additional research by Gregor Čavlović
Produced by Emily Zhang, Giovanna Utichi, Han Evans, and Emily Taylor

Thumbnail contributions by Ignat Berbeci, Ren Hurley, and Peter Sheppard
Additional video/photos supplied by Getty Images and Storyblocks
Music from Epidemic Sound

The world's strongest magnet is a million times stronger than Earth's magnetic field. Learn more about sustainability and Google’s efforts at sustainability.google. Part of this video was sponsored by Google.

Trends insights for the past year are based on Google Trends data from 2/10/2022 - 2/10/2023, U.S.

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Thanks to the entire NHMFL team - especially Tim, Stephen, Caroline, Kristin, Sam, Lance, and everyone who helped with the demos - for the great visit.
The NHMFL is funded by the National Science Foundation and the State of Florida.

Special thanks to Henry from Minutephysics for lending his magnet animations from our magnet collaboration: https://youtu.be/hFAOXdXZ5TM

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References:
Liu, Y., Zhu, D. M., Strayer, D. M., & Israelsson, U. E. (2010). Magnetic levitation of large water droplets and mice. Advances in Space Research, 45(1), 208-213.

Simon, M. D., & Geim, A. K. (2000). Diamagnetic levitation: Flying frogs and floating magnets. Journal of applied physics, 87(9), 6200-6204.

Berry, M. V., & Geim, A. K. (1997). Of flying frogs and levitrons. European Journal of Physics, 18(4), 307.

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Special thanks to our Patreon supporters:
Tj Steyn, Meg Noah, Bernard McGee, James Sanger, Elliot Miller, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin Jr., Eric Sexton, John Kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi

▀▀▀
Written by Derek Muller
Edited and Motion Graphics by Trenton Oliver
Coordinated by Emily Zhang and Derek Muller
Filmed by Derek Muller, Trenton Oliver, Raquel Nuno and Emily Zhang
Additional video/photos supplied by Pond5 & Getty Images
Music from Epidemic Sound
Thumbnail by Ignat Berbeci
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

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شكر خاص للدكتور ستيفن ستاينر وطاقم العمل في ايروجيل للتكنولوجيا. للمزيد من المعلومات أو لشراء مادة الإيروجل:
http://www.aerogeltechnologies.com/

شكر للدكتور ستيفن جونز والدكتور ميهايل بيتكوف من مختبر ناسا للدفع النفاث.

وشكرا لـ "فلير" لإعارتنا هذه الكاميرا الحرارية عالية الدقة. كانت نتيجة التصوير مذهلة!
https://www.flir.com

ميزات مادة الإيروجل الاستثنائية هي بشكل كبير نتيجة لهيكلية المادة. بالرغم من أن مادة الإيروجل تعتبر صلبة هي اسفنجية على مستوى لمقياس النانو، والمسامات الهيكلية الاسفنجية على صغر 20 نانو متر تقريبا. هذا الذي يجعل سيليكا الإيروجل خفيف جدا وشفاف ومادة ماصة أيضا (اعتبرت سابقا أخف صلب في العالم لكن حل محلها الآن مادة الجرافين ايروجيل).

حبة إيروجل بحجم مكعب ثلج لديها مساحة سطحية داخلية تقارب نصف ملعب كرة قدم. تستخدم مادة الأيروجيل في المتاحف لتنظيم مستوى الرطوبة. إضافةً تساعد في الحفاظ على الهواء داخل مقياس الزلازل المستخدم على كوكب المريخ - تمتص الرطوبة والغازات المتصاعدة الأخرى التي تخرج من المكوك الفضائي. مقترحات اخرى لاستخدامها تتضمن استعمالها كمبيد جسدي للحشرات لتجفيف الحشرة كبديل للمبيدات الكيميائية والسامة.

التصوير من بول جراماجليا.
صورة الفيديو من إجنات بيربيسي.
الرسوم المتحركة من كاثرين شولجيان

الموسيقى من
https://epidemicsound.com

هذا فيديو تعليمي

الفيديو الأصلي باللغة الإنجليزي:
https://www.youtube.com/watch?v=GcdB5bFwio4
اسم الفيديو الأصلي باللغة الإنجليزية:
I Waterproofed Myself With Aerogel!
@veritasium

إدارة القناة:
http://www.getunilingo.com
ستوديو الدبلجة
Racti Art Production
مدير القناة: وسام الشيخ حسن
[email protected]

Донат на «Гнів Пречистий» ➡️ https://send.monobank.ua/jar/7MgRmb8MyE

Переклав: Vladee Flava.
Озвучили: Vladee Flava, Юрій Чеков, Олексій Великий та Валерія-Анастасія Пришляк.

Оригінал: https://youtu.be/6etTERFUlUI?si=UBOWuDfV8cDxt1wS

PROМОВА (ПРОЄКТ МОВА) - створений задля поширення та популяризації українськомовного контенту, основу каналу складають іноземні відео вперше озвучені українською мовою.

ПІДТРИМАЙТЕ ПРОЄКТ МОВА ФІНАНСОВО:
➡️ https://bmc.link/projektmova/membership - Buy Me A Coffee ☕
➡️ https://donatello.to/projektmova - Donatello 🐢
➡️ 4441 1144 6986 4571 - Monobank 💳

Дякую за підтримку: VALERII MARKUS, Галина Свиноус, Zagin Kinomaniv, Ярослав Характерник, Eugene Medvediev, Zhuk Orest, AirMaiden, Anastacia Lukashevych, Андрїй Молявчик, Дмитро Солов'янов, Олексій Іванчук, Bohdan Kvas, Pavlo, Dyka Olenka, Dmytro Savochkin, Vil Vilnyi, Oleksandr Karpov, v_omelianiuk, Danylo, Zergatul, Ihor Musikevych, Valentyn Solomko, Гогільчин Тарас, Ken Guru, vch_m, Pavlo Pravdiukov, Vladyslav Yevtiukhin, Yurii Selinnyi та іншим 🙏🏼

Окрема подяка: Анатолій Партика, Євгеній Домарєв, Раймонд Пермінов, Денис Мартиненко, Олександр Білецький 🔥

➡️ https://instagram.com/projektmova 📱
➡️ https://t.me/projektmova 📱

#VERITASIUM #ТЕМНАМАТЕРІЯ #ПРОЄКТМОВА

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

Перевод: Елена Смотрова
Редактура: Алексей Малов
Озвучка: Дмитрий Чепусов, Алексей Никитин, Владимир Курдов
Монтаж звука: Андрей Фокин, Александр Штанг
Монтаж видео: Джон Исмаилов
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, Mykola Korniichuk, Vitaliy Vachynyuk, Таисия, Eugene Tsaplin, Anatoly Ressin, Ника Калмыкова, Pavel Parpura, Anton Bolotov, Katoto Chan, Ihar Marozau, Irina Shakhverdova, Aleksei Shabalin, Kirill Zaslavskii, Oleksandr Hrebeniuk, Timur Sattarov, Victor Cazacov, VEG, Vladimir Sharich, Morock_D, Alexander Goida, Maxim Korotkov, Alex Kulakov, Anna Ostrovskaya, Leonid Steinberg, Lexx, Nikrodol, Rashn, Виктор Харламов, Шурик Самара, Artem Piskarev, Artem Sobolenkov, Being of Whiteout, Cyril Anonimov, MaximML , Timophey Popov, asdadasa, dv0, pervprog, Арс Ник, Глеб Кочергин, Дмитрий Казанов, 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
— http://coub.com/vertdider

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

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

🔥Purdue Post Graduate Program In Digital Marketing: https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=29Apr2024DigitalMarketing101&utm_medium=DescriptionFF&utm_source=youtube
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In this video on digital marketing, Digital Marketing combines the reach and accessibility of the internet to enable us to market our products across the world. In this video, join us on a journey as we tell you about what is digital marketing, the types of digital marketing, components of digital marketing like SEO, content creation, social media marketing, email marketing and so much more! So, without further ado, let's jump in!

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In this React Tutorial for beginners, you will learn everything about ReactJS from basic to advance level. This ReactJS course video includes DOM & Virtual DOM, the difference between Class, Functions, and Components, React hooks, ReactJS Bootstrap, Angular vs React, how to become ReactJS Developer, React Interview Questions, and lots of hands-on demos. This ReactJS for beginners video is a must-watch for everyone who wishes to learn ReactJS and make a career in it.

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🔵 To subscribe to the Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

🔵 Read Intellipaat's tutorials here: https://intellipaat.com/blog/tutorials/

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Are you looking for something more? Enroll in our React js course and become a certified professional (https://intellipaat.com/react-....js-certification-tra). It is a 45 hrs training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this ReactJS Course video, Like us and Subscribe to our channel for a more similar informative video.
----------------------------
Intellipaat Edge
1. 24*7 Lifetime Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Courseware
6. Lifetime free Course Upgrade
------------------------------

🔵 Why should you learn React.JS?

React is a JavaScript library that specializes in helping developers build user interfaces or UIs. React on its own is a very functional, modular way to create expressive UI, and with its single responsibility mentality, it can be integrated with other systems as well as utilize its own ecosystem to develop full single page and multi-page apps.

------------------------------
🔵 For more information:
Please write us at [email protected] or call us at +91-7847955955

Website: https://intellipaat.com/react-....js-certification-tra

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🔵 Intellipaat Cloud Computing & DevOps course: https://intellipaat.com/cloud-....computing-certificat
In this video on ELK Stack Tutorial For Beginners, you will learn what is ELK, components of ELK (Elastic Search, Logstash and Kibana), ELK Flow, hands on demo : Single Node Installation with Elastic Search, Kibana and Logstash Beats, how to analyse Log Data, Filter Plugins.
This Elastic Stack Tutorial video is a must watch for everyone who wish to learn DevOps and make a career in it.

#ELKStackTutorialForBeginners #ElasticStackTutorial #ELK #ELKStack #DevOpsTutorial #DevOpsCourse #ELKTraining #ELKCourse #Intellipaat

🔵Following topics are covered in this video
00:00 - ELK Stack Tutorial For Beginners
00:52 - What is ELK?
17:49 - Components of Elastic
38:44 - The Beats Family
02:56:03 - Analysing Log Data
03:03:55 - Logstash
03:27:44 - The Logstash architecture

🔵 Watch the DevOps Training video here: https://www.youtube.com/watch?v=JHoy3lDZOfY

🔵 To subscribe to the Intellipaat channel & get regular updates on DevOps: https://goo.gl/hhsGWb

🔵 Read the complete DevOps tutorial here: https://intellipaat.com/blog/t....utorial/devops-tutor

🔵 Interested to learn DevOps still more? Please check similar what is DevOps blog here: https://intellipaat.com/blog/what-is-devops/

If you’ve enjoyed this ELK Stack Tutorial video like us and Subscribe to our channel for a more similar informative video.
Got any questions about ELK Stack? Ask us in the comment section below.
----------------------------
🔵 Why should you watch this DevOps course tutorial?

Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. We are offering the top DevOps tutorial that can be watched by anybody to learn DevOps.

🔵 Why DevOps is important?

DevOps implementation is going through the roof with most of the largest software organizations around the world invested heavily in its implementation. The core values of DevOps is effectively based on the Agile Manifesto but with one slight change which moves the focus from creating a working software to one that is more interested in the end-to-end software service mechanism and delivery.

🔵 Why should you opt for a DevOps career?

For very long times the development and the operations teams of any software enterprise have stayed at arm’s length. But this organizational cultural shift thanks to DevOps a lot of changes are happening in forward-thinking enterprises. Learning DevOps will help you master all the skills needed in order to successfully build, operate, monitor, measure, and improve the various processes in IT enterprises by better integrating development and operations. You will grab the best jobs in top MNCs after finishing this Intellipaat DevOps online training. The entire Intellipaat DevOps course is in line with the industry's needs. There is a huge demand for DevOps certified professionals.
------------------------------
For more information:
Please write us to [email protected], or call us at +91- 7847955955 US: 1-800-216-8930(Toll-Free)

Website: https://intellipaat.com/cloud-....computing-certificat

** Machine Learning Certification Training - https://www.edureka.co/machine....-learning-certificat **
** Machine Learning Podcast - https://castbox.fm/channel/id1832236 **

This Video covers the Different Trending Machine Learning Projects in the industry that are open source and are helpful to gain knowledge of machine learning and deep learning. This video also covers the practical implementation of Machine Learning in a few real-life scenarios.

Open Source Projects:

TensorFlow.JS: https://github.com/tensorflow/tfjs
Detectron: https://github.com/facebookresearch/Detectron
Denspose: https://github.com/facebookresearch/DensePose
Deep Painterly Harmonization: https://github.com/luanfujun/d....eep-painterly-harmon
Image Outpainting: https://github.com/bendangnuks....ung/Image-OutPaintin
AstroNet: https://github.com/google-research/exoplanet-ml
BERT: https://github.com/google-research/bert
Adanet: https://github.com/tensorflow/adanet
DeepMimic: https://github.com/xbpeng/DeepMimic

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-gr....aduate/machine-learn

Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-gr....aduate/data-science-
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

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

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 of 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.

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

Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables 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.

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

Objectives of the Course:

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

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

Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models

-------------------------------------------------------------------------------------
*** Machine Learning Podcast - https://castbox.fm/channel/id1832236 ***

Join Edureka’s Meetup community and never miss any event – YouTube Live, Webinars, Workshops, etc. https://bit.ly/2EfTXS1


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

🔥PySpark Certification Training: https://www.edureka.co/pyspark....-certification-train
This Edureka "Machine Learning using Spark MLlib" video will help you to understand what is Machine Learning and what is Data Types. Learn and understand the kinds of problems that are solved using Machine Learning
00:00 Introduction
00:19 Agenda
06:01 What is Machine Learning
08:26 Features of Machine Learning '
13:56 Machine Learning Applications
15:02 Phases of Typical Machine Learning
18:02 Steps of Machine Learning
49:10 MLlib
53:43 Spark MLlib Tools


Edureka PySpark Playlist: https://goo.gl/pCym9F

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

------------------------------------Edureka Online Training and Certification---------------------------------

🔵 DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
🔵 Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

---------------------------------------Edureka Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q

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

Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
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Facebook: https://www.facebook.com/edurekaIN/
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Castbox: https://castbox.fm/networks/505?count...
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#edureka #pysparkedureka #intorductiontosparkwithpython #pysparktutorial #pysparktraining #pysparkforbeginners #learnPyspark #withme

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

About the Course

Edureka’s PySpark Certification Training is designed to provide you the knowledge and skills that are required to become a successful Spark Developer using Python and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the PySpark Training, you will get an in-depth knowledge of Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will also get comprehensive knowledge of Python Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka.

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

Spark Certification Training is designed by industry experts to make you a Certified Spark Developer. The PySpark Course offers:
Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator)
Comprehensive knowledge of various tools that falls in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming
The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
The power of handling real time data feeds through a publish-subscribe messaging system like Kafka
The exposure to many real-life industry-based projects which will be executed using Edureka’s CloudLab

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

Who should go for this course?

Developers and Architects
BI /ETL/DW Professionals
Senior IT Professionals
Mainframe Professionals
Freshers
Big Data Architects, Engineers and Developers
Data Scientists and Analytics Professionals

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

There are no such prerequisites for Edureka’s PySpark Training Course. However, prior knowledge of Python Programming and SQL will be helpful but is not at all mandatory.

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Unsupervised learning is a machine learning technique to build models from unlabeled data. This video covers all the basics of unsupervised learning algorithms along with the applications. You will learn what clustering is and the different types of clustering, such as hierarchical and K Means Clustering. Finally, you will build clustering models in Python to solve business problems.

1. Learning Objectives - 00:15
2. Overview - 00:25
3. Examples and applications of unsupervised learning - 02:17
4. Clustering - 04:37
5. Hierarchical Clustering - 06:27
6. Hierarchical Clustering Example - 08:47
7. Demo: Clustering animals - 11:37
8. K Means Clustering - 16:27
9. Optimal Number of Clusters -18:17
10. Demo: Cluster Based Incentivization - 20:27
11. Key Takeaways - 28:17

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Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.

Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.

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➡️ 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
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✅ Skills Covered

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