SUSCRÍBETE para ver todos nuestros videos: @VeritasiumES

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...


▀▀▀
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

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

🕹 Este canal de Youtube es administrado por: https://www.unilingo.co/
❓Comentarios o sugerencias de traducción: info@unilingo.co

------------------------------------------------------------------------
#veritasiumenespañol

Support the artist that made this song!: https://audiojungle.net/item/f....irefly-in-a-fairytal
Back: http://www.youtube.com/watch?v=hfkyTKdPIjA

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

Изобретать колесо, вроде как дело бесполезное, но что ещё остается, когда нужно отправить ровер на другую планету, а привычные нам колёса не выдерживают суровых условий: камеры лопаются, резина замерзает, да и весят они слишком уж много. Дерек Маллер с канала Veritasium заглянул в гости к специалистам из НАСА, которые как раз ищут решение этих проблем. Они работают с нитинолом — металлом с памятью формы и ещё несколькими уникальными свойствами, благодаря которым есть надежда создать колёса, готовые проехать по любому инопланетному бездорожью.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов, Лиза Чабан, Алексей Никитин
Монтаж звука: Андрей Фокин
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, Ira Kozlovskaya, Amir, Dmitrii Komarevtsev, Pavel Parpura, Мikhail Samin, Roman Inflianskas, Oleg Zingilevskiy, opperatius, Alena, Aleksandr P., Ника Калмыкова, Vitaliy Vachynyuk, Куляш, Anatoly Ressin, Anton Bolotov, JIukaviy, Katoto Chan, Eugene Tsaplin, Anpat, angel, Victor Cazacov, Timur Sattarov, Kirill Zaslavskii, Janis Riekstins, Ihar Marozau, Artem Amirbekov, Dzmitryi Halyava, Aleksei Shabalin, Vladyslav Sokolenko, Vadim Velicodnii, Kseniya Stukova, Irina Shakhverdova, POD666, Alex Kulakov, Stanislav Obrazcoff, Sergey P, Павел Приступа, Anna Ostrovskaya, Oleksandr Hrebeniuk, Leonid Steinberg, Ilya, Alexander Goida, Katya Ma, Morock_D, Evgeny Vrublevsky, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Roman Gelingen, Сергей Клопов, Rashn, Nikrodol, Rincewind, Lexx, Alexander Lebedev, Sonra44, Шурик Самара, Ranis Zaripov, Alexey Tyurnin, Anastasiya Zotova, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, MaximML , Timophey Popov, Иван Новиков, Арс Ник, Никита Омельницкий, Rekvet, Илья Зверев, Точка Зрения, Artem Sobolenkov, Artem Piskarev, Timur Rahmatulin, Тимур Абдуллин, Timur Rahmatulin, Глеб Кочергин, Адам Шифф, Василий , Никита Омельницкий, Alexey Sklyar.

#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/vSNtifE0Z2Q

SUSCRÍBETE para ver todos nuestros videos:
https://www.youtube.com/c/Veri....tasiumenespañol?sub_
El acertijo de los 100 prisioneros parece completamente imposible incluso cuando se conoce la respuesta.

Video en Inglés del Canal @veritasium : https://www.youtube.com/watch?v=iSNsgj1OCLA


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

🕹 Este canal de Youtube es administrado por: https://www.unilingo.tv/
❓Comentarios o sugerencias de traducción: info@unilingo.tv

------------------------------------------------------------------------
#veritasiumenespañol

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

Правоохранительные органы США теперь умеют искать подозреваемых по образцам генетического материала с места преступления, даже если информации о найденной ДНК нет ни в одной базе. Если какой-нибудь дальний родственник сделал генетический тест и разрешил доступ к исходным данным — этого будет достаточно. Таким образом можно раскрывать страшные преступления, но сам метод вызывает серьёзные опасения у сторонников неприкосновенности личных данных. В том, где проводить границу между безопасностью и приватностью, пытается разобраться Дерек Маллер в новом видео.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Гор Гиноян
Озвучка: Дмитрий Чепусов, Юрий Катарманов, Алексей Никитин, Дмитрий Машкович, Алёна Соколова
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, Nick Denizhenko, Oleksii Leonov, Yegor Barakovskiy, Mikhail Stolpovskiy, Kirill Seleznev, Dmitrii komarevtsev, toshego, Sergey Skrypnyk, 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, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Katoto Chan, Anton Makiievskyi, Ivan Bondarenko, Kristopher Nolan, Alexander Kulikov, KIM TKHE SIK, Полина Маркина, Евгений, Сергей Андреев, Leonid Korobov, mol9ko, Аддон, Irina Slavgorodskaya, Arthur Skobara, 666.13FM, Andrew Rumyantsev, Marianna Sumina, Мария Баранова, Maxim Arkushin, Дмитрий, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Лиля Малкова, Natalie Kulinicheva, Marat Bakirov, Ирина Завтонова, Anastasia, Andrey Istomin, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, Анна Троссман, Serj Skidan, L Marchenko, Nadia Kilgishova, Andrey Rusanov, Inna Klymenko, Dmitriy Lashtaba, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ihar Marozau, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Otto Kester, Claudia Barzaeva, Lirin Alex, Konstantin Pesyakov, 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, angel

#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/KT18KJouHWg

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: info@unilingo.tv
------------------------------------------------------------------------
#veritasiumenespañol

Este es un compilado con nuestros tres videos sobre agujeros negros. En esta lista pueden ver los videos completos: https://www.youtube.com/playli....st?list=PLhEFGPjWw9F
Desde su descubrimiento teórico nos hemos preguntado ¿qué es un agujero negro?
Afortunadamente el 10 de abril de 2019 tuvimos la oportunidad de ver la primera foto de un agujero negro supermasivo en la galaxia M87 con una masa de 6.5 mil millones de veces la de nuestro sol. Esto fue posible gracias al increíble trabajo del equipo del proyecto colaborativo del Telescopio Event Horizon.

🕳SUSCRÍBETE para ver todos nuestros videos:
http://bit.ly/Suscribirse_Veritasium_en_español

Por otro lado el 22 de noviembre del 2014 se detectó una explosión de rayos X a través del sistema ASASSN. Lo que presenciamos fue cómo un agujero negro devoró a una estrella.
Un agujero negro pulsante en el centro de una galaxia distante esclarece un poco más nuestro conocimiento sobre los agujeros negros y la formación de galaxias.
En este video les presentamos una compilación del trabajo de Derek Muller acerca de los agujeros negros.

Los Misterios de los Agujeros Negros

Videos originales en inglés:
First Image of a Black Hole!: https://www.youtube.com/watch?v=S_GVbuddri8
How to Understand the Black Hole Image: https://www.youtube.com/watch?v=zUyH3XhpLTo
Spinning Black Holes: https://www.youtube.com/watch?v=fu3645D4ZlI

------------------------------------------------------------------------
🕹 Este canal de Youtube es administrado por: https://www.unilingo.tv/
❓Comentarios o sugerencias de traducción: info@unilingo.tv
------------------------------------------------------------------------
#veritasiumenespañol

Want to know how creative web applications are developed? Our video about Streamlit will help you to know about the same.

This video about Streamlit Tutorial by Intellipaat will take a deep dive into What is Streamlit. Furthermore, it will explore more about its uses and Installation, and not only this but will also help you to understand the basic functions of Streamlit, Input widgets, and will end with its Practical Implementation.

Let’s first understand its preliminaries,

🔵 What is Streamlit?
With the help of the free, open-source Streamlit framework, data scientists can quickly create interactive dashboards and Machine Learning web apps without any prior front-end web programming knowledge.

🔵 Why Streamlit is used?
It enables us to quickly develop web applications for data science and machine learning. Major Python libraries like Scikit-learn, Keras, PyTorch, SymPy (latex), NumPy, pandas, and Matplotlib are all compatible with it.

🔵 Following topics are covered in this session:
00:00 - Introduction to Streamlit
1:59 - Uses of Streamlit
2:50 - Installation
5:01 - Streamlit Basic Functions
5:22 - Input Widgets
6:00 - Practical Implementation

🔵 Intellipaat Training courses: https://intellipaat.com/
Intellipaat is a global online professional training provider. We are offering some of the most updated, industry-designed certification training programs which includes courses in Big Data, Data Science, Artificial Intelligence and 150 other top trending technologies.
We help professionals make the right career decisions, choose the trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress and offer industry-recognized certifications. We also assist corporate clients to upskill their workforce and keep them in sync with the changing technology and digital landscape.

#streamlittutorial #whatisstreamlit #featuresofstreamlit #streamlit #streamlitpython #howtousestreamlit #streamlitdashboard #streamlitwebapp #intellipaat

📌 Do subscribe to Intellipaat channel & get regular updates on videos: https://goo.gl/hhsGWb

----------------------------
Intellipaat Edge
1. 24*7 Life time Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Course ware
6. Life time free Course Upgrade

------------------------------
For more information:
Please write us to sales@intellipaat.com or call us at: +91-7847955955

Website: https://intellipaat.com/

Facebook: https://www.facebook.com/intellipaatonline

Telegram: https://t.me/s/Learn_with_Intellipaat

Instagram: https://www.instagram.com/intellipaat

LinkedIn: https://www.linkedin.com/compa....ny/intellipaat-softw

Twitter: https://twitter.com/Intellipaat

🔥Intellipaat Splunk Course: https://intellipaat.com/splunk-training/
In this splunk tutorial for beginners video you will learn what is splunk, the various components of splunk and splunk architecture. You will also learn who are the various customers of splunk, splunk administration, how to deploy splunk, licensing, indexing and forward management in splunk. There is a use case of splunk as well and a demo on how to add data in splunk.
#splunktutorialforbeginners #splunktutorial #siemsplunk #splunktraining #splunkdashboardtutorial #whatissplunk #splunkadministrationtutorial #splunkforbeginners #splunkcourseforbeginners

📌 Do subscribe to Intellipaat channel & get regular updates on videos: http://bit.ly/Intellipaat

🔗 Watch splunk video tutorials here: https://goo.gl/Q8SGVR

📕 Read complete splunk tutorial here: https://intellipaat.com/tutorial/splunk-tutorial/

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

📝This splunk training for beginners video helps you to learn following topics:
What is Splunk? - 1:48
Components of Splunk - 4:02
Splunk Services - 5:47
Benefits of Splunk - 6:15
Splunk Customers - 6:55
Dominos-Use Case - 7:31
Hands-on - 8:47
Splunk Administration - 14:45
Forwarding and Receiving - 37:49
Deployment client - 52:09
Licensing - 1:04:05
Distributed Management Console - 1:08:12
Indexes and Volumes Instance - 1:26:08
Forwarder Management - 1:53:23
Access Controls - 2:02:57
Spark Trends - 2:11:14

Are you looking for something more? Enroll in our splunk Course and become a certified splunk Professional (https://intellipaat.com/splunk-training/). It is a 26 hrs instructor led splunk training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you’ve enjoyed this splunk tutorial for beginners , Like us and Subscribe to our channel for more similar splunk videos and free splunk tutorials.
Got any questions about splunk course or how to download splunk? Ask us in the comment section below.
----------------------------
Intellipaat Edge
1. 24*7 Life time Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Course ware
6. Life time free Course Upgrade
------------------------------
Why should you watch this Splunk Tutorial?

You can learn splunk much faster than any other technology and this splunk tutorial helps you do just that. splunk is one of the best technological advances that is finding increased applications for big data and in a lot of industry domains. We are offering the top splunk tutorial that has been created with extensive inputs from the industry experts so that you can learn splunk and apply it for real world scenarios.

Who should watch this Splunk Tutorial video?

If you want to learn splunk to become a software developer and system administrator expert or search analysts, database experts and administrators then this Intellipaat splunk tutorial is for you. The Intellipaat splunk video is your first step to learn splunk. Since this splunk education video with hands on can be taken by anybody, so if you are a beginner in technology then you can also watch other splunk tutorials to take your skills to the next level.

Why Splunk is important?

Splunk is one of the most popular tool use to parse humongous machine-generated data to derive valuable insights from it. Taking the Intellipaat splunk training can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

Why should you opt for a Splunk career?

If you want to fast-track your career then you should strongly consider splunk. The reason for this is that it is one of the fastest growing technology. There is a huge demand for professionals in splunk. The salaries for splunk Professionals is fantastic.There is a huge growth opportunity in this domain as well. Hence this Intellipaat splunk tutorial, is your stepping stone to a successful career!
------------------------------
For more Information:
Please write us to sales@intellipaat.com, or call us at: +91- 7847955955

Website: https://intellipaat.com/splunk-training/

Facebook: https://www.facebook.com/intellipaatonline

LinkedIn: https://www.linkedin.com/in/intellipaat/

Twitter: https://twitter.com/Intellipaat

Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence. This course was originally recorded live.

Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy.

For course details, visit: https://ineuron.ai/course/gene....rative-ai-community-

⌨️ (00:00:00) DAY 1: Introduction to Generative AI Community Course
⌨️ (01:44:14) DAY 2: Introduction to OpenAI and understanding the OpenAI API
⌨️ (03:37:49) DAY 3: Introduction to LangChain
⌨️ (05:16:48) Day 4: Hugging Face API + Langchain
⌨️ (07:13:08) DAY 5: Memory in Langchain
⌨️ (09:07:53) DAY 6: LLM Generative AI Project using OpenAI & LangChain
⌨️ (11:03:29) DAY 7: LLM Generative AI Project & Deployment
⌨️ (13:09:02) DAY 8: Introduction to Vector Database for AI & LLM
⌨️ (14:52:41) DAY 9: Mastering Vector Databases with Pinecone
⌨️ (17:02:19) DAY 10: Mastering ChromaDB Vector Databases
⌨️ (19:04:25) DAY 11: Introducing Meta Llama 2
⌨️ (20:54:33) DAY 12: End to End Medical Chatbot Project, Part 1
⌨️ (22:36:05) DAY 13: End to End Medical Chatbot Project, Part 2
⌨️ (24:22:10) Generative AI: Everything You need to know about Gemini Pro LLM Models
⌨️ (26:16:33) End to End Gen AI Project using Google Gemini Pro
⌨️ (28:24:14) Webinar - Generative AI Revolution: The Future

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

--

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

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

What is generative AI? Not sure where to begin? Check out this short course! We'll take you through the basics of generative AI including common applications, model types, and the fundamentals of how you can use it. Discover the power behind this technology and see how it’s changing the way we solve problems, and tell stories. 🙌

Hop over to Google Cloud Skills Boost to enroll in this course for free! → https://goo.gle/3MdGgHs

Subscribe HERE: youtube.com/googlecloud

#GenerativeAI #cloudcomputing #googlecloudlearning

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") - https://www.edureka.co/power-b....i-certification-trai
This Edureka "Power BI Python Tutorial" video will help you to understand the value brought by the integration of the Python into Power BI Desktop and how it provides a powerful tool for transforming and presenting business intelligence data.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program: http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program: http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program: http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program: https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

🌕Advanced Certificate Program in Cybersecurity with E&ICT Academy, IIT Guwahati: https://bit.ly/3Pd2utG


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


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

🔥Edureka Cyber Security Course: https://www.edureka.co/cybersecurity-...
This Edureka "Phases in Cyber Security " video will give you an understanding of the basic concepts of Cybercrime & Types of Cybercrime.

🔴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 PGP Courses---------------------------------------------------

🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
🟣CyberSecurity PGP: https://bit.ly/3eHvI0h
🔵Digital Marketing PGP: https://bit.ly/38cqdnz
🟣Big Data Engineering PGP: https://bit.ly/3eTSyBC
🔵Data Science PGP: https://bit.ly/3dIeYV9
🟣Cloud Computing PGP: https://bit.ly/2B9tHLP

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

Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Instagram: https://www.instagram.com/edureka_lea...
Facebook: https://www.facebook.com/edurekaIN/
SlideShare: https://www.slideshare.net/EdurekaIN
Castbox: https://castbox.fm/networks/505?count...
Meetup: https://www.meetup.com/edureka/

#edureka #CyberSecurityEdureka #TypesofCyberThreats #CybersecurityThreats #Cybersecurity #learnCybersecurity #withMe
------------------------------------------------

About Edureka Cyber Security Training

Cybersecurity is the combination of processes, practices, and technologies designed to protect networks, computers, programs, data and information from attack, damage or unauthorized access.

Edureka’s Cybersecurity Certification Course will help you in learning about the basic concepts of Cybersecurity along with the methodologies that must be practiced ensuring information security of an organization. Starting from the Ground level Security Essentials, this course will lead you through Cryptography, Computer Networks & Security, Application Security, Data & Endpoint Security, idAM (Identity & Access Management), Cloud Security, Cyber-Attacks and various security practices for businesses.

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

Why Learn Cyber Security?

Cybersecurity is the gathering of advances that procedures and practices expected to ensure systems, PCs, projects and information from assault, harm or unapproved get to. In a processing setting, security incorporates both cybersecurity and physical security, it is imperative since cyberattackers can without much of a stretch take and obliterate the profoundly grouped data of governments, defense offices and banks for which the results are huge so it is essential to have an appropriate innovation which an avoid digital wrongdoings.

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

Who Should go for this Training?

Anyone having the zeal to learn innovative technologies can take up this course. Especially, students and professionals aspiring to make a career in Cybersecurity technology. However, Cybersecurity Certification Course is best suited for the below-mentioned profiles:-
Networking Professionals
Linux Administrators
-----------------------------------------------

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

** Data Science Master's Program: https://www.edureka.co/masters....-program/data-scient **
This Edureka "Data Science Training" video (Data Science Blog Series: https://goo.gl/1CKTyN) will help you understand all the concepts of Data Science. This tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts. Below are the topics covered in this tutorial:

1. What is Data Science?
2. Job Roles in Data Science
3. Components of Data Science
4. Concepts of Statistics
5. Power of Data Visualization
6. Introduction to Machine Learning using R
7. Supervised & Unsupervised Learning
8. Classification, Clustering & Recommenders
9. Text Mining & Time Series
10. Deep Learning

Subscribe to our channel to get video updates. Hit the subscribe button above.
Check our complete Data Science playlist here: https://goo.gl/60NJJS

#Datasciencetraining #Datasciencetutorial #Datasciencecourse #Datascience #Edureka

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

How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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

About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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

Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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

Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

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

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "

** Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat **

This Edureka video on 'Classification In Machine Learning ' covers the concept of classification in machine learning with various classification algorithms and a Use case to implement digit classification on MNIST data. Following are the topics discussed in this Machine Learning Tutorial:

What Is Classification in Machine learning
Classification Terminologies in Machine Learning
Classification Algorithms
Classifier Evaluation
Algorithm Selection
Use Case - MNIST Digit Classification

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

#Edureka #edurekaclassificationinmachinelearning #EdurekaMachinelearning #PythonTraining #PythonEdureka

Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

SlideShare: https://www.slideshare.net/EdurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

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


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 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 the python programming language to enhance your learning experience.

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 Using 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

-----------------------------------
Who should go for this Machine Learning Certification Training using Python?

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

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

( Data Science Training: https://www.edureka.co/data-sc....ience-r-programming- )
This "Machine Learning with R" video by Edureka will help you to understand the core concepts of Machine Learning followed by a very interesting case study on Pokemon Dataset in R. This tutorial will comprise of these topics:

1. Understanding Machine Learning
2. Applications of Machine Learning
3. Types of Machine Learning Algorithms
4. Case Study on the "Pokemon Dataset" to implement Machine Learning Algorithms

Subscribe to our channel to get video updates. Hit the subscribe button above.

Check our complete Data Science playlist here: https://goo.gl/60NJJS

#LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience

How it Works?
1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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

About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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

Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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

Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

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

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "