This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same!

In this SAS Tutorial video you will understand:

1) Why Data Analytics?
2) What is Data Analytics?
3) Data Science Analytics Tools
4) Why SAS?
5) What is SAS?
6) What SAS Solves?
7) Components of SAS
8) How can we practice Base SAS?
9) Demo

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

Check our complete SAS Training playlist here: https://goo.gl/MMLyuN

#SASTraining #SASTutorial #SASCertification

How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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

About the Course

The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros.

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

Why Learn SAS?

The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts.

SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.

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

Who should go for this course?

This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for:

1. Analytics professionals who are keen to migrate to advanced analytics
2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist
3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics
4. Testing professionals to move towards creative aspects of data analytics
5. Mainframe professionals
6. Software developers and architects
7. Graduates aiming to build a career in Big Data as a foundational step

Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information.

Website: https://www.edureka.co/sas-training
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Customer Reviews:

Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"

Concrete = cement + sand + gravel. Cement is the most important man-made material on Earth. Offset your carbon footprint on Wren: https://wren.co/veritasium . For the first 100 people who sign up, I will personally pay for the first month of your subscription!

▀▀▀
A huge thank you to Nevada Ready Mix for being willing to bury me in concrete, especially Elu Chavez and Mike Sherwood. https://www.nevadareadymix.com

And to Brandon Birchak of Six Foot Productions for providing the big fish bowl, safety equipment, planning and filming: https://www.sixfootcreations.com

▀▀▀
References:
Instant stone (just add water), Roots of Progress, https://rootsofprogress.org/in....stant-stone-just-add
https://rootsofprogress.org/cement-redux

Cement Chemistry and Sustainable Cementitious Materials
https://www.youtube.com/@cemen....tchemistryandsustain

Ahmad, S., Lawan, A., & Al-Osta, M. (2020). Effect of sugar dosage on setting time, microstructure and strength of Type I and Type V Portland cements. Case Studies in Construction Materials, 13, e00364. – https://ve42.co/Ahmad2020

Seymour, L. M., Maragh, J., Sabatini, P., Di Tommaso, M., Weaver, J. C., & Masic, A. (2023). Hot mixing: Mechanistic insights into the durability of ancient Roman concrete. Science advances, 9(1), eadd1602. -- https://ve42.co/Seymour2023

▀▀▀
Special thanks to our Patreon supporters:
Emil Abu Milad, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., Eric Sexton, john kiehl, Anton Ragin, Benedikt Heinen, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi.

▀▀▀
Written by Derek Muller
Edited by Trenton Oliver
Filmed by Raquel Nuno, Austin Bradley and Bryson
Animated by Ivy Tello & Mike Radjabov
Additional video/photos supplied by Getty Images & Pond5
Music from Epidemic Sound & Jonny Hyman: the Bill Wurtz inspired ‘Skyscrapers are made of sea shells’
Produced by Derek Muller, Petr Lebedev, & Emily Zhang

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This "Python Full Course for Beginners" video provides a comprehensive overview of Python programming. This Python tutorial for beginners has foundational concepts such as variables and data types to advanced topics like functions, modules, and object-oriented programming. This Python for Beginners video offers a step-by-step approach with explanations, examples, and interactive exercises. It's the perfect starting point for individuals eager to dive into Python programming from scratch.

00:00:00 Introduction to Python Full Course
00:01:04 Agenda of Python Full Course
00:03:14 Why use Python
00:46:28 What are comments in Python?
00:49:42 Types of Comments
00:56:44 What is an Operator?
01:19:17 What is A Tuple in Python?
01:27:31 Tuple Methods
01:32:56 When to use Sets in Python?
01:35:38 Finding the length of a Set
01:37:15 Adding Elements to a set
01:45:21 Difference of Sets
01:47:31 Why Use A Python dictionary?
01:48:03 Dictionary Vs Lists
01:49:08 How to Implement Dictionary in Python?
01:56:42 Operation in Python Dictionary
01:59:24 Use Case
02:03:11 Why to Use Loops
02:21:01 Nested Loops
02:36:41 Why use Functions?
02:38:51 What are functions?
02:42:05 Functions
03:03:42 User-Defined Functions in Python
03:08:34 Python Lamba function
03:12:53 What are Python Lambda Functions?
03:17:13 Anonymous Function within user-defined Functions
03:24:14 Lambda within map()
03:32:20 Arrays in Python
03:59:54 Features
04:01:31 Python Salary Trends
04:20:58 Inheritance in python
04:34:29 Exception Handling in python
04:54:28 What is Python Requests?
05:01:30 Cookies and Headers
05:22:02 Regular Expression
05:57:09 E-mail Verification
06:02:33 Python File Handling
06:26:19 HOw to connect python with mysql DB?
06:50:38 What are Sockets?
07:12:47 Numpy V/s List
07:40:53 Pandas in python
08:43:01 Python Matplotlib
09:06:48 Histogram
09:19:46 Basic Operation with OpenCV
09:28:57 Face Detection using OpenCV
09:31:39 Capturinh video
09:47:19 Motion Detector
09:55:58 What is a ChatBot
10:18:07 The map() Function
10:21:54 The Filter() Function
10:24:36 The Reduce() Function
10:32:43 Introduction to SEABORN
10:33:47 Seaborn vs Matplotlib
10:52:10 Basic Python Interview Questions
11:28:54 Python Django Interview Questions

📢📢 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
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44

🔴 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
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 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

🔴 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

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌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/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free) for more information.

🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=DataScienceSep182019&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In Data Science (India Only): https://www.simplilearn.com/ii....tk-professional-cert
🔥 Post Graduate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=DataScienceSep182019&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Data Scientist Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=DataScienceSep182019&utm_medium=DescriptionFirstFold&utm_source=youtube
🟡 Caltech AI & Machine Learning Bootcamp (For US Learners Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=DataScienceSep182019&utm_medium=DescriptionFirstFold&utm_source=youtube
Will cover all the below-given topics required for a complete Data Science Tutorial:
0. Introduction (0:00)
1. Data Science basics (01:28)
2. What is Data Science (05:51)
3. Need for Data Science (06:38)
4. Business intelligence vs Data Science (17:30)
5. Prerequisites for Data Science (22:31)
6. What does a Data Scientist do? (30:23)
7. Demand for Data Scientist (53:03)
8. Linear regression (2:30:10)
9. Decision trees (2:53:39)
10. Logistic regression in R (3:09:12)
11. What is a decision tree? (3:27:04)
12. What is clustering? (4:35:40)
13. Divisive clustering (4:51:14)
14. Support vector machine (5:17:21)
15. K-means clustering 96:44:13)
16. Time series analysis (7:33:05)
17. How to Become a Data Scientist (8:26:54)
18. Job roles in Data Science (8:30:59)
19. Simplilearn certifications in Data Science (8:33:50)
20. Who is a Data Science engineer? (8:34:34)
21. Data Science engineer resume (9:00:04)
22. Data Science interview questions and answers (9:04:42)

🔥 Enroll for FREE Data Science Course & Get your Completion Certificate: https://www.simplilearn.com/getting-started-data-science-with-python-skillup?utm_campaign=Skillup-DataScienceSep182019&utm_medium=DescriptionFirstFold&utm_source=youtube

To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

Download Datasets: https://drive.google.com/drive..../folders/1oa_hIIb4dn

Download the Data Science career guide to explore and step into the exciting world of data, and follow the path towards your dream career: https://www.simplilearn.com/data-science-career-guide-pdf?utm_campaign=DataScienceSep182019&utm_medium=Description&utm_source=youtube

Read the full article here: https://www.simplilearn.com/career-in-data-science-ultimate-guide-article?utm_campaign=DataScienceSep182019&utm_medium=Description&utm_source=youtube

Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #machinelearning

➡️ Advanced Certificate Program In Data Science
This Advanced Certificate Program in Data Science is designed for working professionals & covers job-critical topics like R, Python, Machine Learning techniques, NLP notions,& Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, corporate ready projects.

👉Learn More at: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=DataScienceSep182019&utm_medium=Description&utm_source=youtube

✅ Key features:
- Advanced Data Science certificate and Purdue alumni association membership
- 3 Capstone and 25+ Projects with industry data sets from Amazon, Uber, Walmart, Comcast, and many more
- Masterclasses delivered by Purdue faculty and IBM experts
- Exclusive hackathons and Ask Me Anything sessions by IBM
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars
- 8X higher engagement in live online classes by seasoned academics and industry professionals

✅ Skills covered:-
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model building and fine tuning
- Supervised and unsupervised learning
- Natural Language Processing
- Ensemble Learning

👉Learn More at: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=DataScienceSep182019&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥Edureka's Data Science Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka video on 'Support Vector Machine Tutorial For Beginners' covers A brief introduction to Support Vector Machine in Python with a use case to implement SVM using Python.
Topics covered in this session:
00:00:00 Introduction
00:00:25 Agenda
00:01:35 What is Machine Learning
00:13:47 Introduction to Classification
00:17:28 Classification Algorithms
00:18:30 What is Naïve Bayes
00:31:36 Mathematical Working of Naïve Bayes
00:39:24 Example

🔹Check out our Playlist: http://bit.ly/2taym8X
🔹Blog Series: https://bit.ly/2PX5lIp

🔴Please do 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 PGP Courses----------

🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1

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

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 #datascienceedureka #SupportVectorMachine #SVM #DataScience #MachineLearning #MachineLearningTraining #learnMachineLearning #withme

----------------------------------------
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.
--------------------------------------
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.
--------------------------------------------
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
--------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

El Machine Learning y el Deep Learning son clave para la evolución de la Inteligencia Artificial porque permiten que las máquinas puedan aprender y mejorar por sí mismas, logrando que estas máquinas puedan hacer tareas complejas y resolver problemas de manera autónoma. Pero, ¿qué es Machine Learning y Deep Learning exactamente? Te lo explicaremos en este nuevo video de EDteam.

Y si no lo sabías #LoAprendisteEnEDteam

🎉 ¡CURSOS NUEVOS DE LA SEMANA!
1. Curso: Android desde cero https://edy.to/android-yt
2. Curso: Desarrollo de apps con Vue 3 y TypeScript (Pre-venta) https://edy.to/vue-typescript-yt

Si quieres que EDteam de una conferencia gratis en tu institución, contáctanos aquí 👉 https://ed.team/conferencias

💻 Cursos recomendados:
- Carrera: Machine Learning e Inteligencia Artificial https://ed.team/especialidades/machine-learning
- Curso: Introducción al Machine Learning https://edy.to/ML-yt
- Curso: Introducción a las redes neuronales artificiales https://edy.to/redes-neuronales-yt
- Curso: Redes neuronales con TensorFlow https://edy.to/tensorflow-yt


📺 Videos recomendados
- ¿Qué es la Inteligencia Artificial y cómo está cambiando al mundo? https://www.youtube.com/watch?v=98-SzelNMzU
- ¿Qué es el Big Data? https://www.youtube.com/watch?v=M26iIqmqWkI&t=6s
- ¡Los peores errores de programación de la historia! https://www.youtube.com/watch?v=qi9nFs2caj4

⌚ Timeline:
00:00 - Introducción
00:59 - Que es Machine Learning
04:50 - Tipos de MAchine Learning
08:00 - Las Redes Neuronales
11:40 - El Deep Learning


- 🧑‍🎓👩‍🎓 ¿Eres estudiante? Postula a las becas de EDteam: https://edy.to/estudiantes-yt
- 🎁 ¡Accede a 9 cursos GRATIS de tecnología! https://edy.to/cursos-gratis-yt
- 🧑‍🏫 Dicta un curso en EDteam: https://edy.to/profesores-yt
- ⭐ Sube a premium y accede a cientos de cursos: https://edy.to/premium-yt
- 💻 Mira todos nuestros cursos en: https://edy.to/cursos-yt

-----
Síguenos en:
🔰 LinkedIn: https://edy.to/linkedin-yt
🔰 Instagram: https://edy.to/instagram-yt
🔰 TikTok: https://edy.to/tiktok-yt

Check out the latest (and most visual) video on this topic! The Celestial Mechanics of Attention Mechanisms: https://www.youtube.com/watch?v=RFdb2rKAqFw

This is the second of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.

Video 1: The attention mechanism in high level https://youtu.be/OxCpWwDCDFQ
Video 2: The attention mechanism with math (this one)
Video 3: Transformer models https://www.youtube.com/watch?v=qaWMOYf4ri8

If you like this material, check out LLM University from Cohere!
https://llm.university

00:00 Introduction
01:18 Recap: Embeddings and Context
04:46 Similarity
11:09 Attention
20:46 The Keys and Queries Matrices
25:02 The Values Matrix
28:41 Self and Multi-head attention
33:54: Conclusion

Correction: At 30:42 I write "X = Y". They're not equal, what I meant to say is "X and Y are identically distributed".

The variance is a measure of how spread out a distribution is. In order to estimate the variance, one takes a sample of n points from the distribution, and calculate the average square deviation from the mean.
However, this doesn't give a good estimate of the variance of the distribution. The best estimate, however, is obtained when dividing by n-1 instead of n.
WHY!?!?!?!?!?!?!?
In this video, we dig deeper into why the variance calculation should be divided by n-1 instead of by n. For this, we use an alternate definition of the variance, which doesn't use the mean in its calculation.

*[0:00] Introduction and Bessel's Correction*
- Introducing Bessel's Correction and why we divide by \( n-1 \) instead of \( n \) to estimate variance.

*[0:12] Introduction to Variance Calculation*
- Explaining the premise of calculating variance and introducing the concept of estimating variance using a sample instead of the entire population.

*[1:01] Definition of Variance*
- Defining variance as a measure of how much values deviate from the mean and outlining the basic steps of variance calculation.

*[1:52] Introduction to Bessel's Correction*
- Discussing why we divide by \( n-1 \) when calculating variance and introducing Bessel's Correction.

*[2:35] Challenges of Bessel's Correction*
- Sharing personal challenges in understanding the rationale behind Bessel's Correction and discussing my research process on the topic.

*[3:20] Alternative Definition of Variance*
- Presenting an alternative definition of variance to aid in understanding Bessel's Correction and expressing curiosity about its presence in the literature.

*[4:45] Quick Recap of Mean and Variance*
- Briefly revisiting the concepts of mean and variance, demonstrating how they are calculated with examples, and explaining how variance reflects different distributions.

*[7:05] Sample Mean and Variance Estimation*
- Explaining the challenges of estimating the mean and variance of a distribution using a sample and discussing why sample variance is not a good estimate.

*[8:49] Bessel's Correction and Why \( n-1 \) is Used*
- Explaining how Bessel's Correction provides a better estimate of variance and why we divide by \( n-1 \) instead of \( n \). Emphasizing the importance of making a correct variance estimate.

*[10:51] Why Better Estimation Matters?*
- Discussing why the original estimate is poor and why making a better estimate is crucial. Explaining the significance of sample mean as a good estimate.

*[13:02] Issues with Variance Estimation*
- Illustrating the problems with variance estimation and demonstrating with examples why using the correct mean is essential for accurate estimates. Explaining the accuracy of estimates made using \( n-1 \).

*[15:04] Introduction to Correcting the Estimate*
- Discussing the underestimated variance and the need for correction in estimation.

*[15:57] Adjusting the Variance Formula*
- Explaining the adjustment in the variance formula by changing the denominator from \( n \) to \( n - 1 \).

*[16:22] Calculation Illustration*
- Demonstrating the calculation process of variance with the adjusted formula using examples.

*[16:57] Better Estimate with Bessel's Correction*
- Discussing how the corrected estimate provides a more accurate variance estimation.

*[18:24] New Method for Variance Calculation*
- Introducing a new method for calculating variance without explicitly calculating the mean.

*[20:06] Understanding the Relation between Variance and Variance*
- Explaining the relationship between variance and variance, and how they are related mathematically.

*[21:52] Demonstrating a Bad Calculation*
- Illustrating a flawed method for calculating variance and explaining the need for correction.

*[23:37] The Role of Bessel's Correction*
- Explaining why removing unnecessary zeros in variance calculation leads to better estimates, equivalent to Bessel's Correction.

*[25:08] Summary of Estimation Methods*
- Summarizing the difference between the flawed and corrected estimation methods for variance.

*[26:02] Importance of Bessel's Correction*
- Emphasizing the significance of Bessel's Correction for accurate variance estimation, especially with smaller sample sizes.

*[30:19] Mathematical Proof of Variance Relationship*
- Providing two proofs of the relationship between variance and variance, highlighting their equivalence.

*[35:24] Acknowledgments and Conclusion*

Thanks @mkan543 for the summary!

Get Hostinger VPS - https://www.hostinger.com/in/ishan

Coupon codes
10% off on 12 month plans - ISHAN
15% off on 24 month plans - ISHAN15

Live n8n workflow link: https://n8n.srv1219917.hstgr.c....loud/form/2c68eba8-4

Get Gemini Nano Banana Pro API: https://ai.studio/

Sign up for free on Apify and get $5 worth of free credits: https://apify.com/
YT Transcript API: https://apify.com/pintostudio/youtube-transcript-scraper
POST Method API Endpoint: https://api.apify.com/v2/acts/....faVsWy9VTSNVIhWpR/ru

Sign up on Cloudinary: https://cloudinary.com/

This is the ultimate, no-code guide to building and deploying your first AI agent in under 30 minutes using N8N!

In this step-by-step tutorial, you'll learn how to connect the world's best AI models with a powerful no-code automation platform (N8N) to create an agent that works for you 24/7.

What you will build:
- A completely automated AI Agent that can consume a long piece of content, like a YouTube video (or article/document), and instantly process it.
- We'll specifically create an agent that summarizes a video and generates polished infographics from the summary, all automatically!

You will learn:
- The no-code stack for building reliable AI agents.
- How to connect N8N to different AI models and APIs.
- The complete process from concept to deployment.

No coding is required. If you want to get ahead in the AI revolution, this is an in-depth guide that can help you.

📸 Instagram: https://bit.ly/ishansharma7390ig

Join MarkitUpX Discord Server: https://discord.gg/fwSpTje4rh

CHAPTERS:-
00:00 Intro
00:24 Workflow
01:32 Setup Hostinger VPS
02:51 Creating nodes
04:18 On form submission
06:31 Extract YouTube transcript
10:35 Turn into Image
12:22 Prompt
15:30 Host image
17:46 Display Image
18:42 Publish workflow
20:52 Conclusion


😁 About Me: https://bit.ly/aboutishansharma
📱 Twitter: https://bit.ly/ishansharma7390twt
📝 LinkedIn: https://bit.ly/ishansharma7390li

🌟 Please leave a LIKE ❤️ and SUBSCRIBE for more AMAZING content! 🌟

3 Books You Should Read
📈Psychology of Money: https://amzn.to/30wx4bW
👀Subtle Art of Not Giving a F: https://amzn.to/30zwWbP
💼Rework: https://amzn.to/3ALsAuz

Tech I use every day
💻MacBook Air M1: https://amzn.to/2YWKPjG
📺LG 29' Ultrawide Monitor: https://amzn.to/3aG0p5p
🎥Sony ZV1: https://amzn.to/3ANqgDb
🎙Blue Yeti Mic: https://amzn.to/2YYbiNN
⽴Tripod Stand: https://amzn.to/3mVUiQc
🔅Ring Light: https://amzn.to/2YQlzLJ
🎧Marshall Major II Headphone: https://amzn.to/3lLhTDQ
🖱Logitech mouse: https://amzn.to/3p8edOC
💺Green Soul Chair: https://amzn.to/3mWIxZP

✨ Tags ✨
ishan sharma,how to build ai agents with n8n,how to build ai agents from scratch,n8n ai agents for beginners,n8n agent tutorial,n8n agent tutorial for beginners,how to build your first ai agent,n8n automation,how to setup n8n automations,ai agent building tutorial,n8n ai agent builder,n8n tutorial for beginners,how to build ai agents for free,how to build ai agents for your own business,Build AI Agents Effortlessly with N8N | Step-by-Step

✨ Hashtags ✨
#aiagents #ai #coding

Claude Code in 2026 is not what it was when it launched. After a year of building frameworks, custom setups, and elaborate systems to make AI coding work, we've come to a point now where... most of that is overkill.

In this video, I'll show you what building with pure vanilla Claude Code actually looks like in 2026. No frameworks. No custom rules. Just Claude Code with Opus 4.5 handling real professional development work.

I'll build a real feature in a real app, walking you through plan mode, the clarifying questions flow, and the native features that now do what frameworks used to do.

If you're just getting into AI-assisted development, or if you've been layering tools onto your workflow — this video will show you the simpler path forward.

👇 **Your Builder Briefing (free)**
https://buildermethods.com - Your free, 5-minute read to keep up with the latest tools & workflows for building with AI.

👇 **Build with Claude Code (course)**
https://buildermethods.com/pro/claude-code-course -- Launching in Feb 2026 For members of Builder Methods Pro. Early access workshop happening in January 2026.

▶️ Related videos:
AI skills that matter in 2026 https://youtu.be/7JBuA1GHAjQ
Design OS for AI-first design process https://youtu.be/2vu-6-lIhAs

💬 Drop a comment with your questions and requests for upcoming videos!

Chapters:

0:00 - The Claude Code scene in 2026
5:09 - Claude Code Ask User Questions tool
8:23 - What Changed for 2026
9:27 - Reviewing Claude Code's Build
11:13 - Core Features in Claude Code
11:52 - The Skill That Still Matters
12:49 - When Frameworks Still Help

Provides an intuitive explanation for what deep learning models are doing when they find an 'efficient feature representation'
Full course playlist here: https://www.youtube.com/playli....st?list=PLnrO0TOwDbu

🔥 Prompt Engineering with LLM Course: https://www.edureka.co/prompt-....engineering-generati
🔥Post Graduate Program in Generative AI and ML: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

Dive into the world of artificial intelligence with this comprehensive LLM Prompt Engineering Full Course by edureka! in collaboration with Veranda Enterprise. In this course, you'll learn how to effectively communicate with large language models like ChatGPT by mastering the art of prompt engineering. From the fundamentals of zero-shot and few-shot prompting to advanced techniques like chain-of-thought and structured prompting, this course is designed to equip you with the practical skills needed to build powerful AI-driven applications. Whether you're a developer, data scientist, or complete beginner, this full course provides real-world examples, hands-on demos, and expert tips to help you unlock the full potential of generative AI. Start your journey into prompt engineering and take your AI skills to the next level.

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 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
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 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

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌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/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.