🔥Become Data Analytics Expert Today: https://taplink.cc/simplilearn_data_analytics
This video on "Best Data Analyst Certification in 2023" will show data analyst certification courses. Certifications have become an essential benchmark for professional growth and recognition in the dynamic field of data analytics. They validate your expertise and open doors to exciting new career opportunities. And regarding top-notch certifications, Simplilearn has established itself as a trusted provider. So, let's embark on a journey to discover the Best Data Analyst Certifications available for you!"

00:00 - Best Data Analyst Certification in 2023
00:46 - Post Graduate Program In Data Analytics
05:07 - Caltech Data Analytics Bootcamp(US Only)
07:24 - Professional Certificate Course In Data Analytics (India Only)

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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- Post Graduate Program certificate and Alumni Association membership
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- Data Analytics
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In this full Scrum Master course, we will explain the most important concepts of the Scrum Methodology. We'll tell you about what scrum is, the components of the scrum process, the role of a scrum master, the scrum methodology, how scrum meetings work, how scrum and kanban are different from one another, interview questions, and much more!

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What is Scrum
Agile Scrum Master Training
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Scrum Meeting
Scrum Vs. kanban
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➡️ About Certified ScrumMaster® (CSM) Certification Training Course

This CSM certification course is focused on providing an improved understanding of Scrum methodologies and their implementation. It helps you become a Certified ScrumMaster®, a designation offered by Scrum Alliance to practitioners who have successfully completed a CSM certification course & demonstrate their understanding by passing the exam.

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- 2 Days of Online Virtual Class
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- Complimentary access to 15 courses* worth INR 25,000

✅ Skills Covered

- Scrum and Agile methodologies
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- Distributed Scrum

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In this Instagram Marketing Full Course video, we'll be covering some of the major concepts of marketing your brand, products or services on the platform. We'll cover topics like how to create Instagram videos, how to increase Instagram followers, some marketing strategies, and how it compares with Facebook.
So, without further ado, let's jump right in!

00:00:00 How To Create Instagram Videos
00:17:52 How To Increase Followers On Instagram
00:54:01 Instagram Marketing Strategy 2020
01:04:32 Facebook vs Instagram: Which One Should You Choose? Why?

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➡️ About Post Graduate Program In Digital Marketing:
Get a hands-on Live Interactive Learning experience with this Digital Marketing Course. Learn via fundamental and advanced material, preparing you for your Digital Marketing Career. Get a Meta Certified Digital Marketing Associate exam voucher worth USD $99 to showcase your skills.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
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- Meta Certified Digital Marketing Associate exam voucher worth USD $99
- 5 Capstone problem statements and 15+ course-end projects
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✅ Skills Covered
- Website Creation
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- Content Strategy
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- Analytics ROI and Evaluation
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/python-....programming-certific (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka video on 'Arrays in Python' will help you establish a strong hold on all the fundamentals in python programming language. Below are the topics covered in this video:
00:01:15 What is an array?
00:02:53 Is python list same as an array?
00:03:48 How to create arrays in python?
00:07:19 Accessing array elements
00:09:59 Basic array operations
00:10:33 Finding the length of an array
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00:18:32 Array concatenation
00:20:59 Slicing
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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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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

IQ is supposed to measure intelligence, but does it? 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, 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 Emeritus Professor Cecil R. Reynolds and Dr. Stuart J. Ritchie for their expertise and time.

Also a massive thank you to Prof. Steven Piantadosi and Prof. Alan S. Kaufman for helping us understand this complicated topic. As well as to Jay Zagrosky from Boston University's Questrom School of Business for providing data from his study.

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References:
Kaufman, A. S. (2009). IQ testing 101. Springer Publishing Company.

Reynolds, C. R., & Livingston, R. A. (2021). Mastering modern psychological testing. Springer International Publishing.

Ritchie, S. (2015). Intelligence: All that matters. John Murray.

Spearman, C. (1961). " General Intelligence" Objectively Determined and Measured. - https://ve42.co/Spearman1904

Binet, A., & Simon, T. (1907). Le développement de l'intelligence chez les enfants. L'Année psychologique, 14(1), 1-94.. - https://ve42.co/Binet1907

Intelligence Quotient, Wikipedia - https://ve42.co/IQWiki

Radiolab Presents: G. - https://ve42.co/RadioLabG

McDaniel, M. A. (2005). Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence, 33(4), 337-346. - https://ve42.co/McDaniel2005

Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational achievement. Intelligence, 35(1), 13-21. - https://ve42.co/Deary2007

Lozano-Blasco, R., Quílez-Robres, A., Usán, P., Salavera, C., & Casanovas-López, R. (2022). Types of Intelligence and Academic Performance: A Systematic Review and Meta-Analysis. Journal of Intelligence, 10(4), 123. - https://ve42.co/Blasco2022

Kuncel, N. R., & Hezlett, S. A. (2010). Fact and fiction in cognitive ability testing for admissions and hiring decisions. Current Directions in Psychological Science, 19(6), 339-345. - https://ve42.co/Kuncel2010

Laurence, J. H., & Ramsberger, P. F. (1991). Low-aptitude men in the military: Who profits, who pays?. Praeger Publishers. - https://ve42.co/Laurence1991

Gregory, H. (2015). McNamara's Folly: The Use of Low-IQ Troops in the Vietnam War; Plus the Induction of Unfit Men, Criminals, and Misfits. Infinity Publishing.

Gottfredson, L. S., & Deary, I. J. (2004). Intelligence predicts health and longevity, but why?. Current Directions in Psychological Science, 13(1), 1-4. - https://ve42.co/Gottfredson2004

Sanchez-Izquierdo, M., Fernandez-Ballesteros, R., Valeriano-Lorenzo, E. L., & Botella, J. (2023). Intelligence and life expectancy in late adulthood: A meta-analysis. Intelligence, 98, 101738. - https://ve42.co/Izquierdo2023

Zagorsky, J. L. (2007). Do you have to be smart to be rich? The impact of IQ on wealth, income and financial distress. Intelligence, 35(5), 489-501. - https://ve42.co/Zagorsky2007

Strenze, T. (2007). Intelligence and socioeconomic success: A meta-analytic review of longitudinal research. Intelligence, 35(5), 401-426. - https://ve42.co/Strenze2007

Deary, I. J., Pattie, A., & Starr, J. M. (2013). The stability of intelligence from age 11 to age 90 years: the Lothian birth cohort of 1921. Psychological science, 24(12), 2361-2368. - https://ve42.co/Deary2013

Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological bulletin, 101(2), 171. - https://ve42.co/Flynn1987

Why our IQ levels are higher than our grandparents' | James Flynn, TED via YouTube - https://www.youtube.com/watch?v=9vpqilhW9uI

Duckworth, A. L., Quinn, P. D., Lynam, D. R., Loeber, R., & Stouthamer-Loeber, M. (2011). Role of test motivation in intelligence testing. Proceedings of the National Academy of Sciences, 108(19), 7716-7720. - https://ve42.co/Duckworth2011

Kulik, J. A., Bangert-Drowns, R. L., & Kulik, C. L. C. (1984). Effectiveness of coaching for aptitude tests. Psychological Bulletin, 95(2), 179. - https://ve42.co/Kulik1984

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Special thanks to our Patreon supporters:
Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Benedikt Heinen, Bernard McGee, Bill Linder, Burt Humburg, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, MaxPal, 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 Derek Muller, Casper Mebius, & Petr Lebedev
Edited by Trenton Oliver
Filmed by Derek Muller, Han Evans, & Raquel Nuno
Animation by Fabio Albertelli & Ivy Tello
Additional video/photos supplied by Getty Images & Pond5
Music from Epidemic Sound
Produced by Derek Muller, Casper Mebius, & Han Evans

This is the biggest, brightest, hottest video there is about the science of fireworks. This video is brought to you by Kiwico – go to https://kiwico.com/veritasium for your first month free!

If you're looking for a molecular modeling kit, try Snatoms - a kit I invented where the atoms snap together magnetically: https://snatoms.com

Check out Gene’s channel here -- @PotatoJet

Massive thanks to Mike Tockstein from Pyrotechnic Innovations @PyroInnovations
and Will Scott from Las Vegas Display Fireworks Inc, for all your pyro knowledge and keeping us safe.

▀▀▀
Massive thanks to Gene Nagata from PotatoJet for filming this episode – check out his wonderful channel for more videos about cameras and FPV drones.

Thanks to Brandon Williams for helping with the chemistry and sourcing of materials.

Thanks to Matthew Tosh for the help with the chemistry conversation about fireworks.

Thanks to Simon Werrett for the help with the history of fireworks.

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Werrett, S. (2010). Fireworks: pyrotechnic arts and sciences in European history. University of Chicago Press

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In this video on Business Analyst Full Course, you will look at topics like the need for having a business analyst, business analyst roles & responsibilities, business analyst skills, business analysis knowledge areas, business analysis with excel, and business analyst vs data analyst. So, let's get started with this business analyst training for beginners!

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Machine Learning helps you build models that can make predictions and take decisions of their own. This video on Types of Machine Learning and Algorithms will make you understand what Machine Learning is and the various types of Machine Learning. You will learn about Supervised, Unsupervised, and Reinforcement learning. You will know how they work and how to choose the right Machine Learning algorithm. Finally, we'll implement a Machine Learning project/ hands-on demo using Python.

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This Edureka "AWS Config” video will help you get started with AWS Config Service and help you understand terminologies that are related to the service.

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

This is a video about the most famous problem in Game Theory, the Prisoner’s Dilemma. 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.

Special thanks to our Patreon supporters! Join the community to help us keep our videos free, forever:
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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


▀▀▀
A massive thank you to Prof. Robert Axelrod and Prof. Steven Strogatz for their expertise and time.

To read more about Prof. Axelrod’s Passion for Cooperation visit: https://ve42.co/Axelrod2023

A massive thanks to the wonderful Nicky Case. Nicky’s “The Evolution of Trust” game was a huge inspiration for this video. We highly recommend you play this excellent game yourself, over at: https://ncase.me/trust/

A huge thank you to those who helped us understand and fact check different parts of this topic - Dr. Christian Hilbe, Dr. Vincent Knight, Dr. Jelena Grujic, Prof. Andreas Diekmann, and Dr. Alexander Stewart.

▀▀▀
References:
Excellent game on the evolution of trust by Nicky Case - https://ve42.co/Case2023
Summary of Axelrod’s work by This Place - https://www.youtube.com/watch?v=BOvAbjfJ0x0
How to outsmart the Prisoner’s Dilemma by TED-Ed - https://www.youtube.com/watch?v=emyi4z-O0ls&pp=ygUScHJpc29uZXIncyBkaWxlbW1h
Tit for Tat by radiolab - https://ve42.co/T4T
The Golden Rule by radiolab - https://ve42.co/GoldenRule
Axelrod, R. (1984). The Evolution of Cooperation.
Dawkins, R. (2016). The selfish gene. Oxford university press.
Poundstone, W. (1992). Prisoner's Dilemma. William Poundstone.
Nowak, M. A., & Highfield, R. (2011). Supercooperators. Edinburgh: Canongate.
Binmore, K. (2007). Game theory: a very short introduction. OUP Oxford.
Northrup, L. & Rock, D. (1966). The Detection of Joe I. - https://ve42.co/JOE1
Prisoner’s dilemma, Wikipedia - https://ve42.co/WikiPD
Prisoner’s Dilemma, Stanford - https://ve42.co/StanfordPD
Flood, M. M. (1952). Some experimental games. - https://ve42.co/Flood1952
Historical nuclear weapons stockpiles, Wikipedia - https://ve42.co/WikiNWS
Goodwin, I. (1998). The Price of Victory in Cold War - https://ve42.co/Goodwin1998
Cold war: How it happened. - https://ve42.co/CW2014
Axelrod, R. (1980). Effective choice in the prisoner's dilemma. Journal of conflict resolution, 24(1), 3-25. - https://ve42.co/Axelrod1980a
Axelrod, R. (1980). More effective choice in the prisoner's dilemma. Journal of conflict resolution, 24(3), 379-403. - https://ve42.co/Axelrod1980b
Axelrod, R., & Hamilton, W. D. (1981). The evolution of cooperation. science, 211(4489), 1390-1396. https://ve42.co/Axelrod1981
Stanislav Petrov, Wikipedia - https://ve42.co/WikiSP
Wu, J., & Axelrod, R. (1995). How to cope with noise in the iterated prisoner's dilemma. Journal of Conflict resolution, 39(1), 183-189. - https://ve42.co/Wu1995
INF Treaty - https://ve42.co/INF
START Treaties - https://ve42.co/START
START I, Wikipedia - https://ve42.co/WikiSTART


Images & Video:
RAND Historical images via rand.org - https://ve42.co/RAND
Golden Balls - https://www.youtube.com/watch?v=S0qjK3TWZE8
Zotti, G., et al. (2021). The Simulated Sky: Stellarium for Cultural Astronomy Research - https://ve42.co/Stellarium
Newspapers from 1980s via Newspapers.com – https://ve42.co/Newspapers
Decommisioned nuke image via The Moscow Times - https://ve42.co/MT2012
Soviet inspection image via Bulletin of the Atomic Scientists - https://ve42.co/Krzyzaniak2019
Decommissioning nuclear weapon via ShareAmerica - https://ve42.co/Kaufman2014


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Special thanks to our Patreon supporters:
Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, 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


▀▀▀
Directed by Casper Mebius
Written by Casper Mebius, Derek Muller, Petr Lebedev, and Ashley Hamer
Additional research and fact checking by Gregor Čavlović and Will Wood
Edited by Peter Nelson
Animated by Fabio Albertelli, Ivy Tello and Alondra Vitae
Illustrations by Jakub Misiek
Filmed by Derek Muller
Produced by Casper Mebius, Derek Muller, Gregor Čavlović and Han Evans

Additional video/photos supplied by Getty Images
Music from Epidemic Sound
Thumbnail by Peter Sheppard

The attention mechanism is what makes Large Language Models like ChatGPT or DeepSeek talk well. But how does it work? One can see it as a mechanism that uses similarity to figure out what parts of the text to pay more or less attention to. For this, we use word embeddings.
I like to see word embeddings as words flying around in the universe, like planets and stars. In this case, the attention mechanism (the Keys, Queries, and Values matrices) define the fabric of this universe, and the laws of gravity, that resemble (yet in some ways are very different) to the laws of gravity that rule our universe.
Come join me in this celestial adventure in the universe of language!

See other videos in this LLM series
The attention mechanism in LLMs: https://www.youtube.com/watch?v=OxCpWwDCDFQ
The math behind attention mechanisms: https://www.youtube.com/watch?v=UPtG_38Oq8o
Transformer models: https://www.youtube.com/watch?v=qaWMOYf4ri8

Get the Grokking Machine Learning book!
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Discount code (40%): serranoyt
(Use the discount code on checkout)

01:55 Similarity
02:12 Embeddings
04:56 Attention
07:14 Dot product
09:29 Cosine similarity
11:10 The Keys and Queries matrices
14:19 Compressing and stretching dimensions
18:50 Combining dimensions
23:14 Asymmetric pull
40:57 Multi-head attention
45:14 The Value matrix
49:24 Summary

A few years ago Veritasium posted a video portraying 'molecular machines'. But is that really the right way to think about the inner workings of our cells? Are we all just running on molecular clockwork?

Dan's paper (must read!): https://philpapers.org/archive/NICITC.pdf

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CORRECTIONS:

6:11 - I should have said “parts of the ribosome” (certain ribosomal proteins) moonlight in the nucleus not the whole ribosome itself.

#veritasium #cell

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In this comprehensive data analysis full course, you will learn everything you need to know to become a data analyst, from the basics of data analysis to the most advanced techniques. This course is designed for beginners with no prior experience in data analysis.

We will begin this Data Analytics Course with an Introduction to Data Analytics, and then we will move on to Excel Dashboards. In addition to this, we will also learn about Fill Series, Referencing, Stat Functions, Text Functions, VLOOKUP, HLOOKUP, Data Validation, Pivots, Charts, Statistics, Probability, Probability Distributions, and Hypothesis Testing. Lastly, we will design projects related to data analytics like COVID-19, Netflix, and Census Income Projects, and prepare for interviews with some data analytics Interview Questions.

✅What do you learn in the data analytics course?
Data analysts are typically expected to be proficient in software like Excel and, in some cases, querying and programming languages like SQL, R, SAS, and Python. Analysts need to be comfortable using such tools and languages to carry out data mining, statistical analysis, database management and reporting.

✅ Is data analytics a good career?
Data analysts are in great demand across all industries and there is a good career path for those who want to move up the professional ladder. Many top organizations require data analysts to help them to make better use of their data or provide the right insights that will help them in their business activities.

✅Is the data analytics course easy to learn?
A: Learning data analytics can be challenging, especially if you're new to programming, statistics, and data manipulation. However, with dedication, the right resources, and a strategic approach, it's possible to overcome the challenges and become proficient in this field.

➡️ About the Course
Enroll in this advanced certification by IITM Pravartak (The Technology Innovation Hub of IIT Madras) and Intellipaat and learn under the expert guidance of the IIT Madras faculty. The program is designed by industry experts to help you master AWS, cloud computing, VPC, etc., through real-time hands-on projects.

➡️Who should take this course?
☑️Non-IT Professionals in HR, banking, marketing, sales, etc.
☑️BI Professionals
☑️Data Analytics Professionals
☑️Project Managers
☑️Software Developers
☑️Information Architects
☑️Freshers and Undergraduates can apply for the course

✅ Key Features
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Madras Faculty and Industry Practitioners
👉🏼One-on-one with Industry Mentors
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
👉🏼No-cost EMI Option

What’s Covered in This Program?
✅Data wrangling with SQL
✅Presto
✅Introduction to Data Science and Statistics
✅Business Problem Solving, Insights and Storytelling
✅Optimization Techniques
✅KNIME
✅Statistics and Machine Learning using R Programming
✅Predictive Modeling
✅Time-Series Forecasting
✅Feature Engineering
✅Advance Machine Learning Techniques
✅Data Science Execution Strategy
✅Business Case Studies
✅Visualization using Power BI
✅Data Science Capstone Project

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🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Mathematics for Machine Learning' teaches you all the math needed to get started with mastering Machine Learning. It teaches you all the necessary topics and concepts of Linear Algebra, Multivariate Calculus, Statistics, and Probability and also dives into the actual implementation of these topics.
0:00 Introduction
2:42 Why Mathematics in Machine Learning?
5:03 Linear Algebra - Scalars
6:20 Linear Algebra - Vectors
7:14 Linear Algebra - Vector Operations
11:22 Linear Algebra - Matrices
13:48 Linear Algebra - Matrix Operations
20:25 Linear Algebra - Vector as Matrix
22:35 Linear Algebra – Vector as Matrix
26:10 Linear Algebra - Eigen Vectors
27:42 Linear Algebra - Applications
30:18 Multivariate Calculus

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About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
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Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
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Who should go for this Course?

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