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We provide a small introduction to cybersecurity, followed by explainers regarding the career scope in this domain and the job roles offered. After covering a few cybersecurity skills, we will learn about ethical hacking and network masking techniques like VPNs and Proxies. Further, we delve into various attacks like DDoS attacks, SQL injection, and cross-site scripting with live demonstrations that you can carry out on your own system for practice.

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#CyberSecurityFullCourse #WhatIsCybersecurity #IntroductionToCybersecurity #Cybersecurity #BasicsOfCybersecurityForBeginners #CyberSecurity #CybersecurityCareer #Cyber_Security #CybersecurityCourse #Cybersecurity #Simplilearn

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J. Robert Oppenheimer forever changed the course of history. He may be the most important physicist to have ever lived. Part of this video is sponsored by Wren. Offset your carbon footprint on Wren: ​https://www.wren.co/start/veritasium1 For the first 100 people who sign up, I will personally pay for the first month of your subscription!

If you want to learn more about Oppeheimer, I strongly recommend the book “American Prometheus” By Kai Bird and Martin Sherwin. It is a remarkable book, very much deserving of the Pulitzer prize it received.

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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A huge thank you to Dr. Martin Rohde and Dr. Antonia Denkova from the TU Delft for proofreading the script and providing valuable feedback.

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References:

Bird, K., & Sherwin, M. J. (2021). American Prometheus: the triumph and tragedy of J. Robert Oppenheimer. Atlantic Books.

Smith, A. K., & Weiner, C. (1980). Robert Oppenheimer: letters and recollections. Bulletin of the Atomic Scientists, 36(5), 19-27. - https://ve42.co/Smith1980

Combes, J. M., Duclos, P., & Seiler, R. (1981). The born-oppenheimer approximation. Rigorous atomic and molecular physics, 185-213. - https://ve42.co/Combes1981

Rhodes, R. (2012). The making of the atomic bomb. Simon and Schuster.

Oppenheimer, J. R., & Volkoff, G. M. (1939). On massive neutron cores. Physical Review, 55(4), 374. - https://ve42.co/Oppenheimer1939b

Oppenheimer, J. R. (1927). Bemerkung zur Zerstreuung der α-Teilchen. Zeitschrift für Physik, 43(5-6), 413-415. - https://ve42.co/Oppenheimer1927

Oppenheimer, J. R. (1927). Zur quantenmechanik der richtungsentartung. Zeitschrift für Physik, 43(1-2), 27-46. - https://ve42.co/Oppenheimer1927b

Born, M., & Oppenheimer, R. (1927). Zur Quantentheorie der Molekeln Annalen der Physik, v. 84. - https://ve42.co/Born1927

Oppenheimer, J. R. (1928). Three notes on the quantum theory of aperiodic effects. Physical review, 31(1), 66.

Oppenheimer, J. R. (1928). On the quantum theory of the capture of electrons. Physical review, 31(3), 349.

Oppenheimer, J. R. (1931). Note on light quanta and the electromagnetic field. Physical Review, 38(4), 725.

Furry, W. H., & Oppenheimer, J. R. (1934). On the theory of the electron and positive. Physical Review, 45(4), 245. - https://ve42.co/Oppenheimer1934

Oppenheimer, J. R. (1935). Note on charge and field fluctuations. Physical Review, 47(2), 144. - https://ve42.co/Oppenheimer1935

Oppenheimer, J. R., & Snyder, H. (1939). On continued gravitational contraction. Physical Review, 56(5), 455. - https://ve42.co/Oppenheimer1939

Oppenheimer, J. R., & Phillips, M. (1935). Note on the transmutation function for deuterons. Physical Review, 48(6), 500. - https://ve42.co/Oppenheimer1935b

Malik, J. (1985). Yields of the Hiroshima and Nagasaki nuclear explosions (No. LA-8819). Los Alamos National Lab.(LANL), Los Alamos, NM (United States). - https://ve42.co/Malik1985

Ignition of the atmosphere with nuclear bombs -- https://ve42.co/Konopinski46

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Special thanks to our Patreon supporters:
Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Benedikt Heinen, Bernard McGee, Bill Linder, Blake Byers, Burt Humburg, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

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Written by Petr Lebedev & Derek Muller
Edited by Trenton Oliver & Katrina Jackson
Filmed by Derek Muller
Animation by Fabio Albertelli, Ivy Tello, & Mike Radjabov
Illustration by Jakub Misiek and Celia Bode
Additional video/photos supplied by Getty Images & Pond5
Music from Epidemic Sound

YES, THIS IS A REUPLOAD. The original was age-restricted and demonetized. To support the channel directly, you can buy Snatoms: https://ve42.co/snatoms1 https://ve42.co/amzn or support on Patreon: https://ve42.co/p

Fritz Haber is the scientist who arguably most transformed the world.
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A huge thanks to Dan Charles for writing a fantastic biography of Fritz Haber, for taking the time to talk to us about it, and providing valuable feedback. This video would not be what it is without his contributions. http://site.danielcharles.us https://ve42.co/Charles

Thanks to Tom de Prinse from Explosions and Fire for helping us with the chemistry of explosives. If you like explosions and/or fire, you will love his channel. https://www.youtube.com/c/ExplosionsFire2

Thanks to Michael Kuiper of CSIRO for the animation of the composition of air - https://www.youtube.com/watch?v=j9JvX58aRfg

Special thanks to Sonya Pemberton, Karl Kruszelnicki, Mary Dobbie, Olivia McRae, and the patreon supporters for giving us feedback on the earlier version of this video.

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References:

The primary reference used is Vaclav Smil’s excellent book, Enriching The Earth –
Smil, V. (2004). Enriching the earth: Fritz Haber, Carl Bosch, and the transformation of world food production. MIT press. – https://ve42.co/Smil

Mastermind: The Rise and Fall of Fritz Haber, the Nobel Laureate Who Launched the Age of Chemical Warfare, by Dan Charles – https://ve42.co/Charles

Stoltzenberg, D. (2004). Fritz Haber: Chemist, Nobel Laureate, German, Jew. Chemical Heritage Foundation. – https://ve42.co/Stoltzenberg

Postgate, J. R. (1982). The fundamentals of nitrogen fixation. CUP Archive. – https://ve42.co/postgate

Miles, A. G. (1992). Biological nitrogen fixation. – https://ve42.co/Miles

Friedrich, B., & Hoffmann, D. (2017). Clara Immerwahr: A life in the shadow of Fritz Haber. In One Hundred Years of Chemical Warfare: Research, Deployment, Consequences(pp. 45-67). Springer, Cham. – https://ve42.co/Friedrich2017

Da Silva, G. (2020). What is ammonium nitrate, the chemical that exploded in Beirut. Sci Am, 5. – https://ve42.co/Silva

Rodrigues, P., & Micael, J. (2021). The importance of guano birds to the Inca Empire and the first conservation measures implemented by humans. – https://ve42.co/rodrigues

Allison, F. E. (1957). Nitrogen and soil fertility. Soil, the, 85-94. – https://ve42.co/Allison

Crookes, W. (1898). Address of the President before the British Association for the Advancement of Science, Bristol, 1898. Science, 8(200), 561-575. – https://ve42.co/Crookes

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Special thanks to Patreon supporters: RayJ Johnson, Brian Busbee, Jerome Barakos M.D., Amadeo Bee, Julian Lee, Inconcision, TTST, Balkrishna Heroor, Chris LaClair, Avi Yashchin, John H. Austin, Jr., OnlineBookClub.org, Matthew Gonzalez, Eric Sexton, john kiehl, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Dumky, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Timothy O’Brien, Mac Malkawi, Michael Schneider, jim buckmaster, Juan Benet, Ruslan Khroma, Robert Blum, Richard Sundvall, Lee Redden, Vincent, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi, Ron Neal

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Written by Petr Lebedev, Derek Muller, Felicity Nelson and Kovi Rose
Edited by Trenton Oliver
Animation by Jakub Mistek, Fabio Albertelli, Ivy Tello, Alex Drakoulis, Nils Ramses Kullack, and Charlie Davies
SFX by Shaun Clifford
Filmed by Petr Lebedev, Derek Muller and Raquel Nuno
Photo of nitrogen deficiency in rice from https://ve42.co/rice
Additional video/photos supplied by Getty Images
Music from Epidemic Sound: https://ve42.co/music

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐀𝐧𝐲𝐰𝐡𝐞𝐫𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/automat....ion-anywhere-certifi (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
Automation Anywhere is one of the leading tools in the RPA market. This session on What is Automation Anywhere will explain the basics of Automation Anywhere.

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

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🔵 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


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

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐌𝐲𝐒𝐐𝐋 𝐃𝐁𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/mysql-dba (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on 'What is SQL?' will help you understand what exactly SQL is and also the problem faced by the traditional approach and the solution for it.

📢📢 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
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🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
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🌕 Microservices Online Training: http://bit.ly/3gxYqqv
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🔴 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
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🌕 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


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

An atom is mostly empty space, but empty space is mostly not empty. The reason it looks empty is because electrons and photons don't interact with the stuff that is there, quark and gluon field fluctuations.
It actually takes energy to clear out space and make a true 'empty' vacuum. This seems incredibly counter-intuitive but we can make an analogy to a permanent magnet. When at low energies, like at room temperature, there is a magnetic field around the magnet due to the alignment of all the magnetic moments of the atoms. But if you add some energy to it by heating it, the particles gain thermal energy, which above the Curie temperature makes their magnetic moments randomly oriented and hence destroying the magnetic field. So in this case energy is needed to clear out the field, just as in the quantum vacuum.

Special thanks to Professor Derek Leinweber, find out more about his research here: http://bit.ly/ZZTKFP

This is the second of a series of two videos on AI Agents.
In this video, we learn the architecture of agents, the agentic loop, memory, tools, planning, and much more! Including how to go from the static (automation) to the dynamic (autonomy).

First video - Strengths and Weaknesses of LLMs: https://www.youtube.com/watch?v=gGWufx8DTAo

Code labs:
RAG Wikipedia Agent
https://colab.research.google.....com/github/luisguise

Calculator Agent
https://colab.research.google.....com/github/luisguise

Math or Fact Agent
https://colab.research.google.....com/github/luisguise

★ WATCH MORE ★ https://www.youtube.com/playli....st?list=UUUwl2SRoZWt
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Learn #withme
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Join the fun on Peacock Kids where you can find an endless supply of laugh-out-loud jokes, lovable characters, life hacks, music, magic, gaming and more!

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About Jurassic World: From Universal Pictures and Amblin Entertainment, Jurassic World immerses audiences of all ages in a new era of wonder and thrills where dinosaurs and humankind must learn to coexist. Jurassic World is set against a global backdrop of diverse locations, with a sprawling story grounded in believable science and populated by distinctive dinosaurs, heroic humans, and cunning villains at both ends of the evolutionary spectrum. It is a larger-than-life destination for exploration, discovery, and epic adventure.

🔥Intellipaat AWS training: https://intellipaat.com/aws-ce....rtification-training
In this Intellipaat AWS solution architect certification course, you will get a glimpse of this exciting domain of cloud computing. You will also know how to learn cloud computing, which all course comes under AWS solutions architect, why are companies ready to pay top salaries to certified professionals and what is the importance of cloud computing.
Intellipaat is offering the industry-designed AWS solution architect certification course wherein you will work on real-world projects and upon completion of the certification you will be in a position to command top-notch salaries.
#AWSSolutionArchitectCertification #AWSTraining #Intellipaat
📌 Do subscribe to Intellipaat channel & get regular updates on videos: http://bit.ly/Intellipaat

🔗 Watch AWS video tutorials here: https://bit.ly/2YTNWmx

📕 Read complete AWS tutorial here: https://intellipaat.com/blog/t....utorial/amazon-web-s

📔 Get AWS cheat sheet here: https://intellipaat.com/blog/t....utorial/amazon-web-saws-cheat-sheet/

Are you looking for something more? Enroll in our AWS certified solution architect training & certification course and become a certified AWS certified solution architect (https://intellipaat.com/aws-ce....rtification-training). It is a 36 hrs instructor led AWS training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

If you've enjoyed this amazon aws training, Like us and Subscribe to our channel for more similar informative AWS tutorial and AWS videos.
----------------------------
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1. 24*7 Life time Access & Support
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Why AWS is important?

There are various upcoming companies who have leveraged AWS cloud solutions for their growth. AWS was the first company which started to provide cloud solutions on a large scale. It has consistently grown and developed itself to be at the top today. It is ranked as the foremost cloud provider by Gartner in terms of completeness of vision and ability to execute.

Why should you opt for an AWS career?

If you want to fast-track your career then you should strongly consider AWS. Today cloud computing is no longer optional but critical to the success of some of the biggest enterprises on earth. The Intellipaat AWS course is completely oriented towards the practical applications and hence gives you a clear advantage.
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LangChain is a framework for developing applications powered by large language models (LLMs).
code github: https://github.com/krishnaik06/Updated-Langchain

LangChain simplifies every stage of the LLM application lifecycle:
Development: Build your applications using LangChain's open-source building blocks and components. Hit the ground running using third-party integrations and Templates.
Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
Deployment: Turn any chain into an API with LangServe.

Timestamp

00:00:00 Introduction
00:00:46 Introduction To Langchain Ecosystem
00:09:09 Chatbot application Usinjg Langchain
00:35:36 Chain As Api For Deployment
01:02:16 Complete Basic Rag Pipeline
01:32:07 Advanced Rag Pipeline
01:51:34 Advanced RAG Pipeline With Multiple Data Source
02:16:10 End To End LAngchain Project USing Groq Inference Engine
02:44:07 Hugging Face With Langchain

-------------------------------------------------------------------------------------------------
Support me by joining membership so that I can upload these kind of videos
https://www.youtube.com/channe....l/UCNU_lfiiWBdtULKOw
-----------------------------------------------------------------------------------
Fresh Langchain Playlist: https://www.youtube.com/watch?v=KmQOlg5YfU0&list=PLZoTAELRMXVOQPRG7VAuHL--y97opD5GQ
►LLM Fine Tuning Playlist: https://www.youtube.com/watch?v=Vg3dS-NLUT4&list=PLZoTAELRMXVN9VbAx5I2VvloTtYmlApe3
►AWS Bedrock Playlist: https://www.youtube.com/watch?v=2maPaQutcWs&list=PLZoTAELRMXVP8-wzKPtrRST3jNCprvMZj
►Llamindex Playlist: https://www.youtube.com/watch?v=1eym7BTnuNg&list=PLZoTAELRMXVNOWh1SDXt5NFujQMOt-CWy

►Google Gemini Playlist: https://www.youtube.com/watch?v=it0l6lx3qI0&list=PLZoTAELRMXVNbDmGZlcgCA3a8mRQp5axb&pp=gAQBiAQB
►Langchain Playlist: https://www.youtube.com/watch?v=4O1rs7mrNDo&list=PLZoTAELRMXVORE4VF7WQ_fAl0L1Gljtar&pp=gAQBiAQB
►Data Science Projects:
https://www.youtube.com/watch?v=S_F_c9e2bz4&list=PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG&pp=iAQB

►Learn In One Tutorials

Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz

End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's

Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n

Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n

►Learn In a Week Playlist

Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

NLP : https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn
---------------------------------------------------------------------------------------------------
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It seems that not a day goes by without there being some news about generative AI that ranges from inspiring, to weird, to just plain terrifying. Unsurprisingly, the sheer volume of information has aspiring creators asking, "What's my place in an AI future?” This talk seeks to find a clear path through the noise. It presents an overview of what AI actually is in today's world, what it might look like in five years and how we can use it to make ourselves indispensable to future employers.

Speaker:
Shaun McCabe

Moderator:

For more information about Full Sail University visit our site: https://www.fullsail.edu/

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From Oscar and GRAMMY-winners, to animators, to creative directors and entrepreneurs, our Hall of Fame alumni have made significant contributions to their industries – as well as the Full Sail community. Every year, we celebrate their accomplishments through a weeklong event complete with educational panels, entertainment, and more.

Located in Winter Park, Florida, Full Sail University offers academic certificates, undergraduate programs, and graduate programs designed for the world of entertainment media and emerging technologies. Full Sail’s creative approach to education provides an immersive, fast-paced, and relevant learning experience that mirrors the workflow and collaboration found throughout today’s rapidly evolving industries.

#fullsailuniversity #fullsail #fullsailhof

🔥NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp

This Edureka video on Machine Learning Algorithms Explained shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!

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

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

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

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

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

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

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

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

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#edureka #MachineLearningEdureka #machineLearningAlgorithms #MachinelearningTutorial #machineLearningPython #LearnMachineLearning #withMe
----------------------------------------------
Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.
-----------------------------------------------
PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance
-----------------------------------------------
Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking
-----------------------------------------------
Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction
--------------------------------------------
Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

--------------------------------------------
For more information, Please write back to us at sales@edureka.in or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

( Data Science Training - https://www.edureka.co/data-sc....ience-r-programming- )

This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!

You can also check out this Machine Learning with Python video for more insights: https://youtu.be/nJKxWbQ1jaw

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

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

#Edureka #MachineLearningAlgorithms #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.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. "

🔥E&ICT Academy, NIT Warangal Post Graduate Program in AI & Machine Learning with Edureka: https://www.edureka.co/nitw-ai-ml-pgp
This video on Step by step Guide to learn Machine Learning and AI will give you a detailed plan to get started with AI and ML.

🔷🔸About the Speaker🔸🔷
Name: Mr. Sharath Chandra
Details:
1. Data Scientist and Digital Transformation lead with extensive experience of 15+ years.
2. Have developed several AI model prototypes in AWS Cloud involving Amazon Connect, Amazon Lex, and Alexa integration.
3. An Alumnus of IIT Kanpur

🔴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_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/

#edureka #artificialIntelligenceEdureka #MachineLearningEdureka #howtolearnAIML #learnAIML #withMe

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

Why Machine Learning & AI?

Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies. Hence these are poised to remain the most important technologies in the years to come.

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

PG Program in Machine Learning & AI

1. Ranked 4th among NITs by NIRF
2. Ranked among Top 50 Institutes in India
3. Designated as Institute of National Importance

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

Program Features

1. Mentorship from NITW faculty
2. Placement Assistance
3. Alumni Status
4. Industry Networking

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

Industry Projects

1. Building a Conversational ChatBot
2. Predictive Model for Auto Insurance
3. E-commerce Website - Sales Prediction

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

Mentors & Instructors

Dr. RBV Subramaanyam
Professor NITW

Dr. DVLN Somayajulu
Professor NITW

Dr. P. Radha Krishna
Professor NITW

Dr. V. Ravindranath
Professor JNTU Kakinada

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

Is this program for me?

If you’re passionate about AI & ML and want to pursue a career in this field, this program is for you. Whether you’re a fresher or a professional, this program is designed to equip you with the skills you need to rise to the top in a career in AI & ML.

Is there any eligibility criteria for this program?

A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

Will I get any certificate at the end of the course?

Yes, you will receive a Post-Graduate industry-recognized certificate from E & ICT Academy, NIT Warangal upon successful completion of the course.

For more information, Please write back to us at sales@edureka.in or call us at IND: +91-9606058418 / US: 18338555775 (toll-free).

🔥 Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!

Check our complete Data Science playlist here: https://bit.ly/2KEEFdf
-----------------------------------------------------------------
🔴Subscribe to our channel to get video updates. Hit the subscribe button above.
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

#Edureka #MachineLearningAlgorithms #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
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In Machine Learning, not all the data you collect is useful for analysis. In this video, you will learn about Feature Selection. You will understand the need for feature selection and what is feature selection. You will look at the various feature selection methods and get an idea about feature selection statistics. Finally, you will learn how to select features using a dataset and perform analysis in Python.

00:00:00 What's in it for you
00:00:32 Need for feature selection
00:01:53 What is Feature selection
00:02:55 Feature selection method
00:07:16 Feature selection stats
00:08:06 Demo

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