Lightbulbs might be the best idea ever – just not for light. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.

A huge thanks to David Lovett for showing me his awesome relay and vacuum tube based computers. Check out his YouTube channel @UsagiElectric

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References:
Herring, C., & Nichols, M. H. (1949). Thermionic emission. Reviews of modern physics, 21(2), 185. – https://ve42.co/Herring1949

Goldstine, H. H., & Goldstine, A. (1946). The electronic numerical integrator and computer (eniac). Mathematical Tables and Other Aids to Computation, 2(15), 97-110. – https://ve42.co/ENIAC

Shannon, C. E. (1938). A symbolic analysis of relay and switching circuits. Electrical Engineering, 57(12), 713-723. – https://ve42.co/Shannon38

Boole, G. (1847). The mathematical analysis of logic. Philosophical Library. – https://ve42.co/Boole1847

The world’s first general purpose computer turns 75 – https://ve42.co/ENIAC2

Dylla, H. F., & Corneliussen, S. T. (2005). John Ambrose Fleming and the beginning of electronics. Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films, 23(4), 1244-1251. – https://ve42.co/Dylla2005

Stibitz, G. R. (1980). Early computers. In A History of Computing in the Twentieth Century (pp. 479-483). Academic Press.

ENIAC’s Hydrogen Bomb Calculations – https://ve42.co/ENIAC3


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Могут ли закончиться места в отеле, где бесконечно много номеров? Звучит парадоксально, но могут, ведь некоторые бесконечности больше других. Об этом расскажет Дерек Маллер в новом видео Veritasium.

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Возможно ли доказать всё, что истинно? Поиски ответа на этот вопрос раскололи математическое сообщество, заставили нас пересмотреть своё представление о бесконечности, помогли выиграть Вторую мировую войну и создать устройство, на котором вы посмотрите это видео. Как именно, расскажет Дерек Маллер в новом видео от Veritasium.

Перевод: Алексей Лоскутов
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📌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 [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

Nikon Z 9による8K UHD/30p、H.265、10bit、N-logでの撮影動画を掲載します。

■主な使用機材
Nikon Z 9
NIKKOR Z 14-24mm f/2.8 S
NIKKOR Z 24-70mm f/2.8 S
NIKKOR Z 70-200mm f/2.8 VR S
NIKKOR Z 50mm f/1.2 S
NIKKOR Z 100-400mm f/4.5-5.6 VR S
ARCREST NDフィルター　ND8/ND16/ND32

■撮影
上田晃司(フォトグラファー/映像作家)

・コメント
Nikon Z 9の8K UHD/30pで上高地周辺を撮影した。Nikon Z 9とZレンズ群による美しいディテールの表現、立体感、シャープさを是非8Kで見ていただきたい。

8K収録時もすべてAF撮影を行い、シビアなピントが求められる8K撮影においても
Nikon Z 9のAFは答えてくれた。また、フォーカスブリージングの少なさにも是非注目してほしい。
ピントが自然に移動していくのでピントが動いていることすら感じない自然な表眼ができるのもNikon Z 9とZレンズのコンビネーションの良さと言えるだろう。

■Z 9 製品ページ　#Z9
https://www.nikon-image.com/pr....oducts/mirrorless/li

■Z 9スペシャルコンテンツページ
https://www.nikon-image.com/sp/z9/

■Zマウントレンズ製品ページ　#NIKKORZ
https://www.nikon-image.com/pr....oducts/nikkor/zmount

■レンズフィルター　ARCREST製品ページ
https://www.nikon-image.com/pr....oducts/accessory/nik
===========

ニコン製品は公式オンラインショップの
ニコンダイレクトからご購入いただけます。

https://shop.nikon-image.com/?cid=JDONS01245

ニコンの製品情報など動画を公開しています。
チャンネル登録をお願いします。

■ニコンイメージングジャパン公式YouTubeチャンネル
https://www.youtube.com/user/NikonImagingJapan

■ニコン　Facebookページ
https://www.facebook.com/NikonImagingJapan

■ニコンイメージングジャパン WEBページ
https://www.nikon-image.com

🔴 Title: THE DEAD RISE
🔴 Summary: Thanks to a devastating nuclear war, a group of people find themselves crammed together in a house in rural Texas, struggling to cope with radiation poisoning, grief and the locals. #horror #horrormovies

YOP 2014
Cast: C.J. Thomason, Monica Keena, Edward Furlong
Director Péter Engert
Writer Christian McDonald


🔴 Certificate: 16 (reedit safe)
🔴 Partner rating: S V F

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ATTENTION: All of the films uploaded are legally licensed, and we have the YouTube rights for specific territories. Any copyright inquiries should be sent to [email protected].

Tags: horror movies best movies 2022 english

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With IIM Indore's General Management program, you will gain an understanding of domains including Operations, HR, Business Strategy, and digital disruption. Understand the fundamentals of how business works and leverage them to support your organization’s strategy.

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✅ About Executive Certificate Program In General Management
Move from a functional strategy role to a business strategy role with thorough knowledge of the business environment and the new fundamentals of business strategy with this general management program from IIM Indore. The key features include Online Self Paced content by IIM Indore.

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- General Management
- Economics
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👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=27Apr2023IIMIndoreGeneralManagement&utm_medium=Description&utm_source=youtube

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🔥 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

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📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌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 [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

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

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

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


To learn more about Deep Learning, subscribe to our YouTube channel:
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Watch more videos on Deep Learning:
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We've partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here -
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Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you'll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks, and traverse layers of data abstraction to understand the power of data and prepare you for your new role as a deep learning scientist.

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

1. Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

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In this Data Analyst Bootcamp, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and perform analysis of data using Python and R. In addition to that; we will see the top 10 data analysis tools and understand the difference between a data scientist and a data analyst. Finally, we’ll see the top interview questions that will help you crack a data analyst interview.

Below are the topics covered in this Data Analyst Bootcamp:

00:00:00 Introduction - Data Analyst
00:02:52 What is Data Analytics
00:04:55 Who is a Data Analyst and its Career
00:37:59 Top 10 Data Analyst Skills
00:51:16 Top 10 Data Analyst Tools
01:12:27 Data Scientist vs Data Analyst
01:40:43 Data Analytics with Python
01:50:28 Microsoft Excel Tutorial
02:19:25 Pivot table in excel
02:47:37 Excel Dashboard
06:58:26 Data Analytics Using R
08:04:53 What is SQL?
09:42:13 Data Analyst Interview Questions

✅Why become Data Analyst?
The World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, the value of data analysts is continuing to grow, creating new job and career advancement opportunities.

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➡️ About Data Analytics Bootcamp
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View the Curriculum Design Sheets (these are very much a work in progress): https://docs.google.com/spread....sheets/d/1KXEJvgnAzi

If you're a math / CS professor or Data Science practitioner, we'd appreciate your feedback / ideas for this curriculum: https://docs.google.com/forms/....d/e/1FAIpQLScLiGgmYh

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