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** Data Science Certification Training: https://www.edureka.co/data-science **
This Edureka's live session on "Introduction To Machine Learning" will help you understand the basics of Machine Learning and how it can be used to solve real-world problems. The following topics are covered in this session:
01:50 Need For Machine Learning
07:17 What is Machine Learning?
09:32 Machine Learning Definitions
11:58 Machine Learning Process
18:42 Types Of Machine Learning
26:11 Type Of Problems Solved Using Machine Learning
29:32 Demo
Blog Series: http://bit.ly/data-science-blogs
Data Science Training Playlist: http://bit.ly/data-science-playlist
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#edureka #edurekaMachineLearning #machineLearning #machineLearningBasics #machineLearningForBeginners #machineLearningTraining #machineLearningCourse
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About the Course
Edureka's Data Science course will cover the whole data lifecycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.
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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. Analyze 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. Analyze 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
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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.
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For online Data Science training, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.
Learn about JavaScript functions in this full course for beginners. Functions are a fundamental building block of programming, and they're a great way to make your code more readable and maintainable.
✏️ Course developed by @tapasadhikary
We will cover the following:
✅ What and Why JavaScript Functions
✅ Clarifying Terminologies(function vs methods, parameter vs arguments, and many more!)
✅ Function Declarations
✅ Function Executions
✅ Default Parameter
✅ Rest Parameter
✅ Call Stack
✅ Arrow Function
✅ Nested Function
✅ Function Scope
✅ Closure
✅ Callback Function
✅ Higher-Order Function
✅ Pure Function
✅ IIFE
✅ Recursion
⭐️ Contents ⭐️
(0:00:00) Welcome to JavaScript Function Crash Course
(0:01:52) How To Take This Course?
(0:03:10) What Are JavaScript Functions? Let Me Tell You a Story.
(0:07:04) Learn JavaScript Functions Visually.
(0:10:49) JavaScript Terminologies You Must Know
(0:12:02) How To Declare a Function?
(0:23:03) How To Return From a Function?
(0:27:14) Default Parameters For JavaScript Functions
(0:30:20) Rest Parameters For JavaScript Functions
(0:33:48) JavaScript Arrow Functions
(0:38:30) Nested Functions in JavaScript
(0:41:17) Understanding JavaScript Function Scope
(0:49:35) Mastering JavaScript Closure With Easy Guide
(0:59:27) What are Callback Functions in JavaScript?
(1:06:03) What are Higher Order Functions(HOF) in JavaScript?
(1:12:32) What is a Pure Function in JavaScript?
(1:16:34) What is an IIFE In JavaScript?
(1:21:30) Learn JavaScript Call Stack(Function Execution Stack)
(1:27:25) What is Recursion in JavaScript?
(1:35:16) Closing Notes and What's From Here?
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Learn how to use Next 3 in this full tutorial for beginners. Nuxt.js is a progressive JavaScript framework for building user interfaces on the web. Nuxt makes it easy to create server-rendered applications, static websites, and single-page applications.
✏️ Course developed by @codewithguillaume
Contents
⌨️ (0:00:00) Intro
⌨️ (0:02:51) Create an App
⌨️ (0:11:07) Pages
⌨️ (0:22:37) Components
⌨️ (0:32:10) Layouts
⌨️ (0:37:47) Assets
⌨️ (0:48:40) Composables
⌨️ (0:55:00) Plugins
⌨️ (1:00:43) Middlewares
⌨️ (1:07:36) Modules
⌨️ (1:12:57) State Management
⌨️ (1:23:28) Server
⌨️ (1:33:42) Nitro
⌨️ (1:38:17) Rendering modes
⌨️ (1:52:04) useFetch
⌨️ (2:02:27) useAsyncData
⌨️ (2:08:16) SEO & Metas
⌨️ (2:18:57) Hooks
⌨️ (2:22:02) Nuxt.config.ts
⌨️ (2:30:14) Nuxt Content
⌨️ (2:41:29) Build Docs and API
🎉 Thanks to our Champion and Sponsor supporters:
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👾 Oscar Rahnama
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐲𝐒𝐐𝐋 𝐃𝐁𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/mysql-dba (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on 'SQL Basics for Beginners will help you understand the basics of SQL and also SQL queries which are very popular and essential. In this SQL Tutorial for Beginners, you will learn SQL from scratch with examples. The following topics have been covered in this SQL tutorial:
00:00:00 Introduction
00:00:32 Agenda
00:00:54 Introduction to SQL
00:02:26 Features of SQL
00:03:41 Data & Database
00:07:55 Table
00:11:02 Basic SQL Queries
00:11:46 SELECT
00:12:33 WHERE
00:13:06 AND, OR, NOT
00:15:04 INSERT INTO
00:16:06 AGGREGATE FUNCTIONS
00:18:53 GROUP BY, HAVING, ORDER BY
00:21:26 NULL
00:22:57 UPDATE & DELETE
00:24:26 IN & BETWEEN OPERATORS
00:25:51 ALIASES IN SQL
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This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same!
In this SAS Tutorial video you will understand:
1) Why Data Analytics?
2) What is Data Analytics?
3) Data Science Analytics Tools
4) Why SAS?
5) What is SAS?
6) What SAS Solves?
7) Components of SAS
8) How can we practice Base SAS?
9) Demo
Subscribe to our channel to get video updates. Hit the subscribe button above.
Check our complete SAS Training playlist here: https://goo.gl/MMLyuN
#SASTraining #SASTutorial #SASCertification
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!
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About the Course
The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros.
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Why Learn SAS?
The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts.
SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.
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Who should go for this course?
This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for:
1. Analytics professionals who are keen to migrate to advanced analytics
2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist
3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics
4. Testing professionals to move towards creative aspects of data analytics
5. Mainframe professionals
6. Software developers and architects
7. Graduates aiming to build a career in Big Data as a foundational step
Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information.
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Customer Reviews:
Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"
When will we have AGI, or human-level AI? That's the question on everyone's minds, and in this video I gathered together predictions from various experts to try to come up with an answer.
The temptation as humans is to look at progress in the past when predicting progress in the future. But this assumes a linear technological progress, which is not the case. Technology advances exponentially. Creating predictions that take this exponential growth into account is very difficult, especially because each individual technology advances through an S-curve and eventually levels out, giving way to newer technologies.
Hence, a lot of predictions are going to be too high because they assume linear progress. The trick is to exclude the predictions that are too high while not jumping to the most optimistic predictions immediately. At the end of the video, I make my own prediction about the arrival of AGI.
Scaling up learning across many different robot types
https://deepmind.google/discov....er/blog/scaling-up-l
How Soon is Now? Predicting the Expected Arrival Date of AGI- Artificial General Intelligence
https://papers.ssrn.com/sol3/p....apers.cfm?abstract_i
"AGI within 18 months" explained with a boatload of papers and projects
https://www.youtube.com/watch?v=YXQ6OKSvzfc
Alan’s conservative countdown to AGI
https://lifearchitect.ai/agi/
7 AI-Experts Predicting Short Timelines… Is Life-Changing AI Months Away, Not Years?
https://www.linkedin.com/pulse..../7-ai-experts-predic
When will the first general AI system be devised, tested, and publicly announced?
https://www.metaculus.com/ques....tions/5121/date-of-a
Shane Legg (DeepMind Founder) - 2028 AGI, Superhuman Alignment, New Architectures
https://www.youtube.com/watch?v=Kc1atfJkiJU
Google AI Chief Says There’s a 50% Chance We’ll Hit AGI in Just 5 Years
https://futurism.com/google-deepmind-agi-5-years
OpenAI CEO: When will AGI arrive? | Sam Altman and Lex Fridman
https://www.youtube.com/watch?v=ZgN7ZYUxcXM
#agi #ai #singularity
0:00 Intro
0:23 Contents
0:28 Part 1: Definitions
0:58 AGI is about generality
1:29 Adversarial definitions of AGI
2:12 S-curves of technological progress
2:58 Hype cycle
3:22 Can LLMs take us all the way to AGI?
4:22 Part 2: Historical attitudes
4:44 LLMs changed people's predictions
5:03 Linear view of history
5:39 Example: one year before the singularity
6:03 Discounting linear predictions
6:40 Timeline: Metaculus average
7:05 Timeline: Oxford economic modeling
7:54 Wisdom of crowd says 2032, 2041...
8:19 Part 3: Timeline predictions
8:28 Geoffrey Hinton: godfather of AI (under 20 years)
9:03 Ray Kurzweil: futurist, studies advancement of technology (2029)
9:33 David Shapiro: YouTuber and researcher (2024)
10:12 Sam Altman: CEO of OpenAI (under 10 years)
10:53 Shane Legg: DeepMind founder (2025/2028)
11:23 Dario Amodei: CEO of Anthropic (2025-2026)
11:46 Dr Alan D. Thompson: countdown to AGI (2024-2025 maybe 2026)
12:44 Measuring stepping stones to AGI
13:15 Dr Waku prediction!
14:05 Conclusion
14:38 Outro
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This Introduction to Artificial Intelligence Full Course by Simplilearn provides a complete roadmap to mastering AI. It begins with an introduction to artificial intelligence, its future, and essential concepts like machine learning, deep learning, and generative AI. You’ll explore AI careers, the AI engineer roadmap, and how to land a job in this field. Dive into practical tutorials on using AI for coding, creating digital products, and building websites. Advanced topics include transformers, reinforcement learning, Q-learning, and LangChain. You’ll learn about AI bias, multimodal AI, and concepts like LLMs, benchmarking, and running models privately. The course also covers prompt engineering, data analytics with AI, and AI-powered tools like Cursor AI. Additionally, you’ll get hands-on with projects for beginners, including machine learning and AI, and explore top hackathons in India. Finally, you’ll gain insights into interview preparation and how to earn money using tools like ChatGPT.
00:00:00 Introduction To Artificial Intelligence Full Course
00:08:08 Introduction To Artificial Intelligence
00:17:14 Future Of Artificial Intelligence
00:24:13 Deep Learning Tutorial For Beginners
00:36:17 Best Artificial Intelligence Coding tools
00:45:55 Top 10 Technologies To Learn
00:52:37 Artificial Intelligence Careers Tutorial
01:04:31 How Create And Sell Digital Products Using AI
01:05:16 What Is Generative AI
01:15:48 Artificial Intelligence Engineer Roadmap
01:30:53 How To Get A Job In Artificial Intelligence
02:27:30 What Is Machine Learning
02:33:11 AI Bias
02:38:53 Open AI Strawberry
02:45:04 Difference between Artificial Intelligence, Machine Learning, And Deep Learning
02:46:11 Run Lama Privately
02:54:55 Introduction To LLM
03:08:24 LLM Benchmarkeing
03:14:01 Mutimodel Artificial Intelligence
03:33:52 Chatgpt Analyse Tutorial
03:34:53 Transformers In Artificial Intelligence
06:59:07 Reinforcement Learning
06:59:57 Q Learning
07:22:58 Langchain Explained
07:37:26 What Is Prompt Engineering
07:59:49 Data Analytics Using Artificial Intelligence
08:01:31 Cursor AI
10:17:41 Recurrent Neural Network
10:35:26 Machine Learning Projects For Beginners
11:01:07 Build Website With Artificial Intelligence
11:19:18 Confusion Matrix In Machine Learning
11:27:32 Top Hackathons In india
11:40:51 Artificial Intelligence Projects With Source Code For Beginers
11:46:00 Generative AI Tools For Job Interview
13:41:50 Artificial Intelligence and Deep learning Interview Questions
13:42:50 How To Earn Money Using ChatGPT
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https://www.reddit.com/r/Simpl....iLearn/comments/1bpr
#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #Simplilearn
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✅ Key Features
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We visited the US Navy to test the best night vision goggles in the world. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.
If you’re looking for a molecular modeling kit, head to https://ve42.co/SnatomsV to try Snatoms – a kit I invented where the atoms snap together magnetically.
Huge thanks to Dr. Ben Conley and the entire team at the Naval Surface Warfare Center, Crane Division. You can check out more of their work here: https://www.navsea.navy.mil/Ho....me/Warfare-Centers/N
Or their YouTube channel here: https://www.youtube.com/NSWCCraneDivision
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Video References:
Tyson, J. (2001). How Night Vision Works. How Stuff Works. – https://ve42.co/HSWNightVision
Montoro, H. P. Image Intensification: The Technology of Night Vision. Photonics. – https://ve42.co/PhotonicsTech
Brain Stuff - HowStuffWorks via YouTube – https://ve42.co/HSWVideo
Photonis via YouTube – https://ve42.co/Photonis
Operator Drewski via YouTube – https://ve42.co/NVGaming
Night-vision device via Wikipedia – https://ve42.co/NVWiki
Image intensifier via Wikipedia – https://ve42.co/Intensifier
Lodriguss, J. How Digital Cameras Work. AstroPix. –https://ve42.co/AstroPix
Kinka-Byo. (2019). What is the physical cause of increasing noise at high ISO? StackExchange. – https://ve42.co/PhotoISO
Macias, A. (2015). The secret NVGs SEAL Team Six wore on the Bin Laden raid. Business Insider. – https://ve42.co/BINightVision
Van Dommelen, L. Thermionic Emission. Quantum Mechanics for Engineers. – https://ve42.co/Thermoionic
Nave, R. (2016). Blackbody Radiation. HyperPhysics. – https://ve42.co/BlackBody
Night Vision Terminology - Generations. ModArmory. – https://ve42.co/ModArmory
NASA (2018). X-ray Detectors - Electrical Current Detections. – https://ve42.co/NASAXRay
Images & Video:
Osama Bin Laden report, via CNN on YouTube - https://ve42.co/CNNOBL
Sicario Night Raid Scene, via Movieclips on YouTube - https://ve42.co/Sicario
Splinter Cell footage, via Ubisoft on YouTube - https://ve42.co/SplinterCell
Step Brothers Night Vision Scene, via masusockvevo on YouTube - https://ve42.co/StepBrothers
Ukraine report, via CNN on YouTube - https://ve42.co/CNNUkraine
FLIR K2 Thermal Imaging Camera footage, via Teledyne FLIR on YouTube - https://ve42.co/FLIRK2
Chandra X-ray Observatory imagery, via NASA - https://ve42.co/NASAChandra
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Special thanks to our Patreon supporters:
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
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Directed by Emily Zhang
Written by Emily Zhang and Derek Muller
Edited by Trenton Oliver
Animated by Mike Radjabov, Fabio Albertelli, and Ivy Tello
Filmed by Trenton Oliver, Emily Zhang, Derek Muller, and Raquel Nuno
Produced by Emily Zhang and Derek Muller
Thumbnail by Ren Hurley
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound
To kickstart your business or online store with a free trial of Shopify, go to http://shopify.com/veritasium
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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Huge thanks to Carlo Rovelli: https://t.co/FF5ohRQB8R
And Geraint Lewis: https://www.geraintflewis.com/
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Images and references:
Holographic wormhole, via Nature - https://ve42.co/Holographic
‘Did physicists create a wormhole in a quantum computer?’ by Davide Castelvecchi, via Nature - https://ve42.co/NatureWormhole
Traversable Holographic Wormhole by Sarag Wells, via Vice - https://ve42.co/ViceWormhole
‘Quantum teleportation opens a ‘wormhole in space–time’’ by Martijn Boerkamp, via Physics World - https://ve42.co/PWTeleportation
‘Physicists Create a Holographic Wormhole’ by Natalie Wolchover, via Quanta - https://ve42.co/QuantaWormhole
‘the Smallest, Crummiest Wormhole You Can Imagine’, via The New York Times - https://ve42.co/NYTWormhole
‘How Physicists Created a Holographic, via Quanta - https://ve42.co/QuantaYTWormhole
Quantum computer imagery, via Quantumai - https://ve42.co/Quantumai
‘Nuclear fusion breakthrough’, via Sky News - https://ve42.co/SkyWormhole
‘NASA scientist explains why images from new telescope astounded him’, via CNN on YouTube - https://ve42.co/CNNWormhole
‘Neutrino Faster Than Speed of Light’, via Associated Press - https://ve42.co/APWormhole
‘Michio Kaku on Quantum Computing’, via PowerfulJRE - https://ve42.co/JRE
AskScience AMA Series, via r/askscience on Reddit - https://ve42.co/ClimateAMA
‘Professor Andrei Linde celebrates physics breakthrough’, via Stanford - https://ve42.co/AndreiLinde
‘Gravitational waves turn to dust’ by Ian Sample, via The Guardian - https://ve42.co/Waves2Dust
‘The First Room-Temperature Ambient-Pressure Superconductor’, Sukbae Lee, Ji-Hoon Kim, Young-Wan Kwon, 2023, via arXiv - https://ve42.co/Superconductor
‘What's the buzz about LK-99?’, via Global News - https://ve42.co/GlobalLK99
Meissner effect, via @andrewmccalip on Twitter - https://ve42.co/Meissner
‘Will LK99 Superconductor CHANGE THE WORLD?’, via Breaking Points on YouTube - https://ve42.co/BreakingPoints
‘Superconductor Breakthroughs’, via WSJ - https://ve42.co/WSJSuperconductor
LK99 claims forum post, via Spacebattles - https://ve42.co/KL99Forum
Copper graph, via Handbook of Electromagnetic Materials - https://ve42.co/CopperGraph
LK-99 Superconductor showing levitation - https://ve42.co/Levitation
‘Unreliable social science research’ by Cathleen O’Grady, via Science - https://ve42.co/SocialScience
Tiny Neutrinos article by Dennis Overbye, via The NYT - https://ve42.co/NYTNeutrinos
‘The Crisis in Cosmology’ by Astrophysics in Process, via Medium - https://ve42.co/CosmoCrisis
‘Some scientists speak of a “crisis in cosmology.”’ by Adam Frank, via Big Think - https://ve42.co/BigThinkCosmo
‘Why is there a 'crisis' in cosmology?’ by Paul Sutter, via Space - https://ve42.co/SpaceCosmo
‘Breakthrough in nuclear fusion, via PBS NewsHour on YouTube - https://ve42.co/PBSBreakthrough
DOE National Lab press conference, via U.S. Department of Energy on YouTube - https://ve42.co/DOEPress
‘Nuclear fusion breakthrough’ by Catherine Clifford, via CNBC - https://ve42.co/CNBCFusion
‘US officials announce nuclear fusion breakthrough’, via CNN - https://ve42.co/CNNFusion
Nuclear fusion article, via CNN - https://ve42.co/CNNNuclear
Climate catastrophe article by Robin McKie, via The Guardian - https://ve42.co/GuardianClimate
Nuclear fusion article by Nicola Davis, via The Guardian - https://ve42.co/GuardianFusion
Fusion breakthrough article, via Imperial College London - https://ve42.co/ImperialFusion
Wednesday briefing by Archive Bland, via The Guardian - https://ve42.co/GuardianBriefing
Sky Sport News Bulletin, via Sky Sport NZ on YouTube - https://ve42.co/SkyBulletin
Alien Probe Ignored Us article by Ed Maz - https://ve42.co/AlienProbe
Attempts to scan the mysterious Oumuamua 'comet' article by Shivali Best, via MailOnline - https://ve42.co/Oumuamua
‘Have Aliens Found Us?’ by Isaac Chotiner - https://ve42.co/NYTAliens
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Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Chris Harper, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, Jesse Brandsoy, 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
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Written by Derek Muller
Edited by Peter Nelson
Filmed by Derek Muller
Produced by Derek Muller
Additional video/photos supplied by Getty Images and Storyblocks
Music from Epidemic Sound
Thumbnail by Geoff Barrett
AWS S3 Tutorial | AWS S3 Bucket Tutorial | AWS S3 Tutorial For Beginners | AWS Tutorial |Simplilearn
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This video on AWS S3 tutorial covers all the important concepts and components from basics to advanced for beginners to give them a clearer picture of this concept. Also it covers all of the various aspects around it like what is its infrastructure and how it works, what are the benefits and features of AWS S3 and some of the very important components of AWS S3 like objects and buckets. There are proper demonstrations for every fold for your better and in depth understanding of the concept.
These are the topics we will be discussing in this video:
00:00 What is Cloud Computing?
03:23 What is AWS?
12:04 What is AWS S3?
17:36 Benefits of AWS S3
21:20 Objects and Buckets in AWS S3
29:55 How does AWS S3 works
37:44 Features of AWS S3
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About Amazon S3:
Amazon S3 is an object storage service from Amazon that provides industry-leading scalability, data availability, security, and performance. It can be used to store and safeguard any quantity of data for a variety of applications, including data lakes, websites, mobile apps, backup and restore, archive, corporate apps, IoT devices, and big data analytics. It has simple management capabilities that allow you to organize your data and fine-tune access controls to match your specific commercial, organizational, and compliance needs.
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➡️ About Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.
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- Receive up to 30 CEUs from Caltech CTME
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- Live virtual classes led by industry experts, hands-on projects and integrated labs
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- 40+ Hands-On Projects and Integrated Labs
- Capstone Project in 4 Domains
- Caltech CTME Circle Membership
✅ Skills Covered
- Cloud Provider Selection
- Application Migration
- Performance Testing
- Cloud Workloads
- Identity Access Management
- Autoscaling
- Disaster Recovery
- Web Services and API
- Cloud Migration and Deployment
- Database Management
- MultiCloud Deployment
- Storage Services
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People have witnessed supernovae for millennia, but what threat do they pose to life on Earth? This video is sponsored by Brilliant. You can get started for free, or the first 200 people to sign up via https://brilliant.org/veritasium get 20% off a yearly subscription.
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A massive thanks to Prof. Hans-Thomas Janka for helping us with the physics of supernovae and GRBs. A massive thanks to Prof. Brian Thomas for all of his help with the terrestrial effects of supernovae and GRBs. This video would not have been possible without them. Also thanks to Dr. Luke Barnes for his initial help with the literature search.
Hydrogen bomb vs Supernova fact was taken from this great article by xkcd/Randall Munroe – https://what-if.xkcd.com/73/ (based on the calculation by Andrew Karam, 2002)
Cosmic bubble footage from
https://www.cfa.harvard.edu/ne....ws/1000-light-year-w
Neutrino driven SN explosion simulations from https://iopscience.iop.org/art....icle/10.1088/2041-82
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References:
Melott, A. et al. (2019). Hypothesis: Muon radiation dose and marine megafaunal extinction at the End-Pliocene supernova. Astrobiology, 19(6), 825-830. – https://ve42.co/Melott1
Thomas, B. C. et al. (2016). Terrestrial effects of nearby supernovae in the early Pleistocene. The Astrophysical Journal Letters, 826(1), L3 – https://ve42.co/Thomas1
Melott, A. L., & Thomas, B. C. (2019). From cosmic explosions to terrestrial fires?. The Journal of Geology, 127(4), 475-481. – https://ve42.co/Melott2
Fields, B. et al. (2019). Near-Earth supernova explosions: Evidence, implications, and opportunities. arXiv preprint arXiv:1903.04589. – https://ve42.co/Fields1
Thomas, B. C., Atri, D., & Melott, A. L. (2021). Gamma-ray bursts: not so much deadlier than we thought. Monthly Notices of the Royal Astronomical Society, 500(2), 1970-1973. – https://ve42.co/Thomas2
Melott, A. et al. (2004). Did a gamma-ray burst initiate the late Ordovician mass extinction?. International Journal of Astrobiology, 3(1), 55-61. – https://ve42.co/Melott3
Firestone, R. B. (2014). Observation of 23 supernovae that exploded less than 300 pc from Earth during the past 300 kyr. The Astrophysical Journal, 789(1), 29. – https://ve42.co/firestone1
Janka, H. T. (2017). Neutrino emission from supernovae. arXiv preprint arXiv:1702.08713. – https://ve42.co/Janka1
Janka, H. T., & Hillebrandt, W. (1989). Neutrino emission from type II supernovae-an analysis of the spectra. Astronomy and astrophysics, 224, 49-56. – https://ve42.co/Janka2
Janka, H. T. (2017). Neutrino-driven explosions. arXiv preprint arXiv:1702.08825. – https://ve42.co/Janka3
Karam, P. A. (2002). Gamma and neutrino radiation dose from gamma ray bursts and nearby supernovae. Health physics, 82(4), 491-499. – https://ve42.co/Karam1
Melott, A. L., Thomas, et al.. (2017). A supernova at 50 pc: effects on the Earth's atmosphere and biota. The Astrophysical Journal, 840(2), 105. – https://ve42.co/Melott4
Ludwig, P., et al. (2016). Time-resolved 2-million-year-old supernova activity discovered in Earth’s microfossil record. Proceedings of the National Academy of Sciences, 113(33), 9232-9237. – https://ve42.co/Ludwig1
Gritschneder, et al. (2011). The supernova triggered formation and enrichment of our solar system. The Astrophysical Journal, 745(1), 22. – https://ve42.co/Gritschneder1
Motizuki, Y., Takahashi, et al. (2009). An Antarctic ice core recording both supernovae and solar cycles. arXiv preprint arXiv:0902.3446. – https://ve42.co/Motizuki
Zucker, C. et al. (2022). Star formation near the Sun is driven by expansion of the Local Bubble. Nature, 601(7893), 334-337. – https://ve42.co/Zucker1
Hirata, K. et al.(1987). Observation of a neutrino burst from the supernova SN1987A. – https://ve42.co/Hirata1
Hayes, L. A., & Gallagher, P. T. (2022). A Significant Sudden Ionospheric Disturbance Associated with Gamma-Ray Burst GRB 221009A. Research Notes of the AAS, 6(10), 222.
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Written by Petr Lebedev & Derek Muller
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Filmed by Derek Muller
Additional Research by Kovi Rose & Katie Barnshaw
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In this R Tutorial For Beginners 2022 video, we'll learn about What is R, variables, and data types in R. This R Programming for Beginners is the ideal video for anyone starting with R Programming and Data Analysis. We'll Understand Data Handling, Manipulation, and Visualization in R. So, let's get started with this R Tutorial!
Dataset Link - https://drive.google.com/drive..../folders/1Wn2TRSbM2C
This R Programming Full Course Video Covers the following Topics:
00:00:00 What is R Programming R Tutorial For Beginners 2022
00:11:48 Variables and Data Types in R - R programming Tutorial For Beginners 2022
00:21:47 Logical Operators - R programming Tutorial For Beginners 2022
00:44:58 Vectors - R programming Tutorial For Beginners 2022
01:00:42 List - R programming Tutorial For Beginners 2022
01:14:41 Matrix - R programming Tutorial For Beginners 2022
01:25:58 Data Frame - R programming Tutorial For Beginners 2022
02:53:49 Flow Control - R programming Tutorial For Beginners 2022
03:17:37 Functions in R - R programming Tutorial For Beginners 2022
04:37:19 Data Manipulation in R- dplyr - R programming Tutorial For Beginners 2022
05:02:59 Data Manipulation in R- tidyr - R programming Tutorial For Beginners 2022
05:09:57 Data Visualization In R - R programming Tutorial For Beginners 2022
05:38:42 Time Series Analysis in R - R programming Tutorial For Beginners 2022
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➡️ About Post Graduate Program In Full Stack Web Development
This program will give you the foundation for building full-stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is the perfect time to get started on your career as a full-stack web developer!
✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 25 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Online Convocation by Caltech CTME Program Director
- 20 lesson-end and 5 phase-end projects
- Capstone Project in 4 domains
- Caltech CTME Circle Membership
- Build your own portfolio on GitHub
✅ Skills Covered
- Agile
- JAVA
- Hibernate and JPA
- Spring Core 50
- DevOps
- HTML5 and CSS3
- AWS
- JavaScript ES6
- Servlets
- SOAP and REST
- JSP
👉Learn more at: https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=DataAnalytics&utm_medium=Description&utm_source=youtube
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🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=SupervisedvsUnsupervisedvsReinforcement&utm_medium=Descriptionff&utm_source=youtube
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In this video, you will learn about Supervised vs Unsupervised vs Reinforcement Learning. You will understand the definition of each of these learning techniques and look at the various algorithms that are part of these methods. You will see the approach and the learning methods used in the training process. Finally, you will learn the various applications of Supervised, Unsupervised, and Reinforcement Learning.
Below topics are explained in this video:
0:00 Introduction
0:29 Types of Machine Learning
0:42 Definitions
02:27 Algorithms
04:54 Applications
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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.
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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=SupervisedvsUnsupervisedvsReinforcement&utm_medium=Description&utm_source=youtube
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In this Data Engineering Course, you will learn what is Data Engineering, How to
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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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