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This course is a detailed introduction to system design for software developers and engineers.
Building large-scale distributed systems like Google, Facebook, Amazon, and Twitter requires an in-depth understanding of computer science principles. This allows systems to handle millions of users concurrently despite hardware failures.
We discuss the fundamental concepts of system design in this course like requirement selection, API design, Database Design, Network protocols, Fault-tolerance, design trade-offs, solution tradeoffs, and low-level design.
Gaurav Sen created this course. Check out his channel: @gkcs
You can learn about distributed systems and system design using the following resources:
Designing Data-Intensive Applications by Martin Kleppmann: https://amzn.to/3SyNAOy
System Design Simplified: https://interviewready.io
Let us know your thoughts and suggestions in the comments!
⭐️ Contents ⭐️
⌨️ (0:00:00) What is System Design
⌨️ (0:02:27) Design Patterns
⌨️ (0:04:07) Live Streaming System Design
⌨️ (0:07:42) Fault Tolerance
⌨️ (0:08:32) Extensibility
⌨️ (0:09:49) Testing
⌨️ (0:10:32) Summarizing the requirements
⌨️ (0:11:27) Core requirement - Streaming video
⌨️ (0:14:52) Diagramming the approaches
⌨️ (0:17:12) API Design
⌨️ (0:20:02) Database Design
⌨️ (0:22:32) Network Protocols
⌨️ (0:29:07) Choosing a Datastore
⌨️ (0:32:57) Uploading Raw Video Footage
⌨️ (0:34:37) Map Reduce for Video Transformation
⌨️ (0:39:24) WebRTC vs. MPEG DASH vs. HLS
⌨️ (0:41:55) Content Delivery Networks
⌨️ (0:42:27) High-Level Summary
⌨️ (0:44:48) Introduction to Low-Level Design
⌨️ (0:47:00) Video Player Design
⌨️ (0:49:17) Engineering requirements
⌨️ (0:50:32) Use case UML diagram
⌨️ (1:02:32) Class UML Diagram
⌨️ (1:06:27) Sequence UML Diagram
⌨️ (1:11:49) Coding the Server
⌨️ (1:24:23) Resources for System Design
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How to use Chat GPT Secrets when writing with it. These are very useful commands and tips that you can use to your advantage when writing with Chat GPT. Chat GPT is an artificial intelligence tool that can generate text, write essays, answer questions, classify and compare text, explain or write codes. It is fluent in almost every language. This chat bot is most advanced AI to date and it's made by Open AI.
User friendly version: https://chat.openai.com/chat
Advanced playground version: https://beta.openai.com/playground
How to use it: https://youtu.be/rtqD3ne7GzA
How to write essay: https://youtu.be/JW2VcCmRed8
More tips: https://youtu.be/hXAgRYKTpqE
More tips: https://youtu.be/5vVuk-D0h-E
Video about Chat GPT:https://youtu.be/mH2zN_S1q2c
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CHAPTERS
00:00 Intro
00:17 Advanced prompts
01:03 Research
01:35 Improve vocabulary
02:14 Rewrite - Rephrase
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This video on the "AI course For Beginners 2023" video covers all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Companies In 2023.
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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
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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:
https://ve42.co/PatreonDEB
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 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.
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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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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
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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 US Navy has an indoor ocean that can simulate any wave in the world. 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.
Special thanks to our Patreon supporters! Join the community to help us keep our videos free, forever:
https://ve42.co/PatreonDEB
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Thanks to Kelley Stirling and the Naval Surface Warfare Center, Carderock Division for the visit.
Thanks to Miguel Quintero and Capt. Todd E. Hutchison for talking to us about the important work going on in the Maneuvering and Seakeeping Basin.
Thanks to Dr. Georgy Manucharyan at the University of Washington for his help in understanding ocean waves.
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References:
Webb, P. (2017). Introduction to Oceanography. Chapter 10: Waves. Online OER textbook. – https://ve42.co/Webb2017
Stewart, R. (2008). Introduction to Physical Oceanography. – https://ve42.co/Stewart2008
van den Bremer, T. S. & Breivik, Ø. (2018). Stokes drift. Phil. Trans. R. Soc. A. – https://ve42.co/Bremer2017
Monismith, S. (2020). Stokes drift: Theory and experiments. Journal of Fluid Mechanics, 884, F1. – https://ve42.co/Monismith2020
Young, I. R. (1999). Wind Generated Ocean Waves. Elsevier. p. 83. – https://ve42.co/Young1999
Wright, P. Island Physics. 4.2 Formation of Waves – https://ve42.co/IslandPhysics
American Bureau of Shipping. (2016). Guidance Notes on Selecting Design Wave by Long Term Stochastic Method. – https://ve42.co/ABS2016
James, S. & Stull, R. (2019). Wave Characteristics. UBC ATSC 113 - Weather for Sailing, Flying & Snow Sports. – https://ve42.co/James2019
Garrison, T. (2009). Oceanography: An Invitation to Marine Science (7th ed). – https://ve42.co/Garrison2009
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James Sanger, Louis Lebbos, Elliot Miller, Brian Busbee, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin Jr., OnlineBookClub.org, Matthew Gonzalez, Eric Sexton, John Kiehl, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Mike Schneider, John Bauer, Jim Buckmaster, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi
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Written by Derek Muller & Emily Zhang
Edited by Fabio Albertelli
Animation by Ivy Tello & Mike Radjabov
Filmed by Derek Muller & Emily Zhang
Additional video/photos supplied by Pond5 & Getty Images
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, and Emily Zhang
🔥 Edureka Digital Marketing Course (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/digital-marketing
This video given you an introduction to digital marketing and it will take you through the BEST way to get started with digital marketing
This video contains the following topics:
00:00 Introduction
00:45 What is Digital Marketing?
01:08 Branches in Digital Marketing
01:38 How to learn Digital Marketing?
02:34 Steps in Learning Digital Marketing
08:50 Advantages of learning Digital Marketing
📝Feel free to share your experience of How to learn Digital Marketing in the comment section below.📝
---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------
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This Edureka video on 'Predictive Analysis Using Python' covers the concept of making predictions based on data analysis and modeling using machine learning. Following are the topics discussed in this session:
00:00 - Introduction
00:53 - What is Predictive Analysis?
01:44 - Applications of Predictive Analysis
04:34 - Steps Involved in Predictive Analysis
08:54 - Predictive Analysis Using Python
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🔹Blog Series: http://bit.ly/2sqmP4s
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How it Works?
Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a 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 the python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.
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Why Learn Machine Learning using Python?
Data Science is a set of techniques that enables 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.
After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
Who should go for this Machine Learning Certification Training using Python?
Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
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For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)
🔥Edureka Python Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Support Vector Machine Tutorial' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.
🔷🔸About the Speaker🔸🔷
Name: Dr. Rajesh Kumar
Details:
◾Data Science Head at SCG Chemicals
◾Ex - Ernst & Young, Ex-Intel, Ex - Mercedes Benz
◾16 years of experience spanning across IT Services, Petrochemicals, Hi-Tech, Business Consulting, Supply Chain, and Automotive Industries.
◾A Ph.D. holder from the Indian Institute of Science
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How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:
1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?
Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.
Who should go for python?
Edureka’s Data Science certification course in Python is a good fit for the below professionals:
· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer'
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
· Information Architects who want to gain expertise in Predictive Analytics
· 'Python' professionals who want to design automatic predictive models
For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free)
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 is intended as a Crash Course on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for Beginners. 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 has been growing in popularity exponentially. But, 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 is still not known to many people. In this video, I aim to show you the different ways in which you can use 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 for yourself.
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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
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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.
When you don't always have the same amount of data, like when translating different sentences from one language to another, or making stock market predictions from different companies, Recurrent Neural Networks come to the rescue. In this StatQuest, we'll show you how Recurrent Neural Networks work, one step at a time, and then we'll show you their critical flaw that will lead us to understanding Long Short-Term Memory Networks.
English
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0:00 Awesome song and introduction
4:13 Basic anatomy of a recurrent neural network
5:59 Running data through a recurrent neural network
10:31 Shared weights and biases
11:23 The vanishing/exploding gradient problem.
#StatQuest #NeuralNetworks #Deeplearning #DubbedWithAloud
If you’re interested in using Machine Learning and LLMs at your organization, or just want some insight into best practices, this one is for you!
In this live session with Machine Learning Upgrade author Kristen Kehrer, you’ll learn about key concepts like MLOps, LLMs, ML Infrastructure, and how all of these things can fit together in a holistic, end-to-end system.
You’ll leave with a better understanding of cutting edge Machine Learning tech and organizational best practices so you can help forge the future in data.
What You'll Learn:
1) How LLMs are being used in the world of unstructured data
2) How you can leverage MLOps techniques when building LLM-powered applications
3) Best practices for prompt writing, prompt testing, and evaluating LLMs
This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.
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This Video on Data Analytics Full Course by Simplilearn will help you learn everything you need to know about data analysis. this data analytics full course covers the basics through What is Data Analytics and the Data Analyst Roadmap to advanced topics such as Data Analytics using AI and Data Analysis with Python. You'll learn key skills like Data Manipulation in R, Data Transformation, and SQL Introduction, including Normalization in SQL and SQL CTE. Understand the differences between Data Science vs Data Analyst and gain hands-on experience creating Power BI Dashboards in minutes. Additionally, explore DBMS, Top BI Terms every data analyst should know, and prepare for interviews with common Data Analytics Interview Questions. Finally, leverage ChatGPT and Excel with Data Analytics to enhance your learning.
00:00:00 Introduction to Data Analytics Full Course
00:04:02 What is Big Data
00:05:26 What is Data Analytics
00:07:30 Data Science Vs Data Analyst
00:21:34 Steps Involved in Data Analytics
00:29:52 Data Analyst Roadmap
00:31:00 What is DBMS
00:42:32 Top BI Terms every data analyst know
01:02:24 Create PowerBI Dashboard in minutes
01:47:39 Who is a Data Analyst till R or Python
03:26:56 Data Analysis with Python
03:30:20 Descriptive Analysis Vs Stat
03:47:52 What is ETL
04:02:56 Descriptive statistics using excel
04:19:17 Data Transformation
07:44:15 Data Manipulation In R
07:59:52 Chatgpt and Excel with Data Analytics
08:03:09 SQL Basics
08:33:44 Tableau Calculations and filters
09:18:37 SQL Server tutorial
09:18:47 Data Analytics using AI
09:53:08 Top 10 Data Analytics certifications
✅ What is Data Analytics?
Data analytics is the process of analyzing data to extract insights and make conclusions. It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.
⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU
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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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✅ Supervised Learning
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