🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐓𝐚𝐛𝐥𝐞𝐚𝐮 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/tableau....-certification-train (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on "Data Blending in Tableau" talks about a method for combining data when there is related data in multiple data sources, which you want to analyze together in a single view. Tableau has two inbuilt data sources named Sample-superstore and Sample coffee chain.mdb which will be used to illustrate data blending.
We shall discuss the following topics:
00:00:00 Introduction
00:01:10 Objective of data blending
00:03:53 Introduction to Data Blending
00:04:12 Joining vs Blending
00:07:12 Blending in Tableau
00:10:13 Limitations of Data Blending

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https://www.youtube.com/c/Veri....tasiumenespañol?sub_

La transformación rápida de Fourier es usada en todas partes y tiene una fascinante historia de origen que pudo haber terminado la carrera por las armas nucleares. Este video es patrocinado por "80,000 Hours". Dirígete a http://80000hours.org/veritasium para suscribirte a su tablero de noticias y recibir una copia gratis de su guía de carreras a profundidad.

Muchas gracias al Dr. Richard Garwin por tomarse el tiempo de hablar con nosotros.
Gracias al Dr. Steve Brunton de la universidad de Washington por su ayuda en el entendimiento de la transformación rápida de Fourier.

gracias al Dr. Cliff Thurber de la Universidad de Wisconsin-Madison, Dr. Paul Richards de la Universidad de Columbia y al Dr. Steven Gibbons de Instituto Geotécnico de Noruega por su colaboración.

Referencias:

Kristensen, H.M., Korda, M. (2022). Status of World Nuclear Forces. Federation of American Scientists (FAS). https://ve42.co/Stockpile2022

Barth, K. H. (1998). Science and politics in early nuclear test ban negotiations. Physics Today, 51(3), 34-39. - https://ve42.co/Barth1998

Schmalberger, T. (1991). In pursuit of a nuclear test ban treaty - https://ve42.co/Schmalberger1991

Bowers, D., & Selby, N. D. (2009). Forensic seismology and the comprehensive nuclear-test-ban treaty. Annual Review of Earth and Planetary Sciences, 37, 209-236 - https://ve42.co/Bowers2009

Incorporated Research Institutions for Seismology (IRIS). (2022). How Often Do Earthquakes Occur? https://ve42.co/IRIS2022

Kimball, D. (2022). The Nuclear Testing Tally. Arms Control Association. https://ve42.co/TestTally2022

Kværna, T., & Ringdal, F. (2013). Detection capability of the seismic network of the International Monitoring System for the Comprehensive Nuclear Test Ban Treaty. Bulletin of the Seismological Society of America, 103(2A), 759-772 - https://ve42.co/Kvrna2013

Sykes, L. R., & Evernden, J. F. (1982). The verification of a comprehensive nuclear test ban. Scientific American, 247(4), 47-55 - https://ve42.co/Sykes1982

Peterson, J., & Hutt, C. R. (2014). World-wide standardized seismograph network: a data users guide (p. 82). US Department of the Interior, US Geological Survey. - https://ve42.co/Peterson2014

Richards, P. G., & Kim, W. Y. (2009). Monitoring for nuclear explosions. Scientific American, 300(3), 70-77 - https://ve42.co/Richards2009

Jacobsen, L. L., Fedorova, I., & Lajus, J. (2021). The seismograph as a diplomatic object: The Soviet–American exchange of instruments, 1958–1964. Centaurus, 63(2), 277-295 - https://ve42.co/Jacobsen2021

Schwartz S. I. (1998). The Hidden Costs Of Our Nuclear Arsenal: Overview Of Project Findings. The Brookings Institution - https://ve42.co/Schwartz1998

Ricón, J.L. (2016). The Soviet Union: Military Spending. Nintil - https://ve42.co/Nintil2016

Heideman, M. T., Johnson, D. H., & Burrus, C. S. (1985). Gauss and the history of the fast Fourier transform. Archive for history of exact sciences, 265-277 - https://ve42.co/Heideman1985

Ford, D. (2004). Richard Garwin - Session IV. American Institute of Physics (AIP). - https://ve42.co/Ford2004

Aaserud, F. (1986). Richard Garwin - Session I. American Institute of Physics (AIP). - https://ve42.co/Aaserud1986

Goldstein, A. (1997). James W. Cooley, an oral history. IEEE History Center, Piscataway, NJ, USA - https://ve42.co/Goldstein1997

Cooley, J., Garwin, R., Rader, C., Bogert, B., & Stockham, T. (1969). The 1968 Arden House workshop on fast Fourier transform processing. IEEE Transactions on Audio and Electroacoustics, 17(2), 66-76 - https://ve42.co/Cooley1969

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Créditos:
Filmado por Derek Muller y Raquel Nuno
Animado por Ivy Tello, Jakub Misiek, Alex Drakoulis, and Fabio Albertelli
Editado por Albert Leung & Derek Muller
Asistente de investigación: Katie Barnshaw
Videos/fotos adicionales provistas por Pond5 y Getty Images
Música de Epidemic Sound
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

Video en Inglés del Canal @Veritasium:https://www.youtube.com/watch?v=nmgFG7PUHfo

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❓Comentarios o sugerencias de traducción: [email protected]

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#veritasiumenespañol

Вероятно, многие из вас не раз пытались «начать новую жизнь» с первого января: давали себе обещания, ставили большие цели, хотели кардинально что-то изменить. Столь же вероятно, что у вас это не получалось или, по крайней мере, было очень тяжело. Не отчаивайтесь, этой проблеме посвящено не одно исследование, и Дерек Маллер сделал целое видео о том, как, используя научный подход, пообещать себе что-нибудь на Новый год и сдержать данное самим себе слово.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Озвучка: Вадим Казанцев
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Эльдар Нургалиев

Спасибо за поддержку на https://www.patreon.com/VertDider.
Озвучки Vert Dider выходят с вашей помощью:

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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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#Edureka #PyhtonEdureka #Supportvectormachineinpython #pythonprojects #pythonprogramming #pythontutorial #PythonTraining #PythonEdureka learn #withme


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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)

📘Artificial Intelligence Career Guide (Free) - https://l.linklyhq.com/l/1ybM6
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=18JulMLFCLive&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=18JulMLFCLive&utm_medium=DescriptionFF&utm_source=youtube
🔥AI Engineer Masters Program (Discount Code - YTBE15)https://l.linklyhq.com/l/1yhn3
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=18JulMLFCLive&utm_medium=DescriptionFirstFold&utm_source=youtube

In this Machine Learning Full Course 2024 video by Simplilearn, We will begin with the fundamentals of machine learning and walk you through the advanced machine learning concepts and algorithms used in the process. we'll cover some of the essential topics like linear vs logistic regression. This Machine Learning Course for Beginners will give you a practical explanation of statistics and probability. At the end of this video, we will be discussing the essential interview questions and answers of machine learning to help every individual crack an interview.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4

#MachineLearningCourse #MachineLearningFullCourse #MachineLearningWithPython #MachineLearningWithPythonFullCourse #MachineLearningTutorial #MachineLearningTutorialForBeginners #MachineLearning #MachineLearningTraining #Simplilearn

Dataset Link -https://drive.google.com/drive..../folders/15lSrc4176J

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

👉 Learn More At: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=18JulMLFCLive&utm_medium=Description&utm_source=youtube
Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=qkj5gqOSX0o&utm_medium=DescriptionFF&utm_source=youtube
🔥IIT Kanpur Professional Certificate Course In Data Analytics (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=qkj5gqOSX0o&utm_medium=DescriptionFF&utm_source=youtube
🔥Caltech Data Analytics Bootcamp(US Only): https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=qkj5gqOSX0o&utm_medium=DescriptionFF&utm_source=youtube
🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=qkj5gqOSX0o&utm_medium=DescriptionFF&utm_source=youtube

This video by Simplilearn is based on SQL Tutorial For Beginners. This SQL Full Course 2024 by Simplilearn is designed and curated in collaboration with real-time industry experts with Data analytics knowledge and expertise. This SQL Tutorial for beginners will cover the basics of SQL from the code syntax to all the advanced concepts in SQL like, Sub Queries, Joins, and CTEs in SQL. After completing this course, you can become an expert in SQL Fundamentals or if you are a professional, you can brush up your SQL skills and for beginners, you can proceed with building your personal data analysis portfolio to begin with your training or internship for Real-time operations and job opportunities.

00:00:00 Introduction to SQL Full Course
00:01:08 What is DBMS
00:12:45 Database Vs Data Warehouse
00:31:24 Data Analyst Roadmap
00:33:28 Data Science Vs Data Analyst
00:47:08 What is SQL
03:13:33 SQL Tutorial For Beginners
03:14:22 Business Intelligence Terms For data analyst
03:30:13 Normalization in SQL
03:33:37 Descriptive Analysis Vs Stat
03:51:09 What is ETL
07:16:37 SQL FC
07:30:47 Joining Tables in SQL
07:53:01 Views in SQL
07:55:39 POstgreSQL
09:37:05 SQL CTE(Common Table Expressions
10:40:24 SQL Project for data analysis
11:29:25 EDA(Exploratory Data Analysis) with Python
11:29:35 Data Analytics using Artificial Intelligence
12:02:19 Data Cleaning in Data Mining
12:17:56 Chatgpt and Excel with Data Analytics
12:54:38 SQL Interview Questions and Answers

✅Subscribe to our Channel to learn more about the top Technologies:

⏩ Check out the SQL training videos: https://www.youtube.com/watch?v=pFq1pgli0OQ&list=PLEiEAq2VkUUKL3yPbn8yWnatjUg0P0I-Z

#sql #sqlcourse #sqlcourseforbeginners #sqlforbeginners #sqlfullcourse #sqlfunctions #sqlfundamentals #simplilearn #2024

What is SQL?
SQL stands from Structured Query Language. It is used to communicate with several relational databases such as MySQL, Oracle and MS SQL Server. Using SQL queries, you can fetch, update, delete and manipulate data that is stored in the form of rows and columns. SQL commands are divided into different types, such as data manipulation language (DML), data definition language (DDL), transaction control language (TCL), and data query language (DQL).

➡️ About Post Graduate Program In Data Analytics
Boost your career with this Data Analytics Course, in partnership with Purdue University & in collaboration with IBM, which features master classes and follows an applied learning model designed with real-life projects and business case studies.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

✅ Learning Path
- Induction Session for Purdue Data Analytics Program
- PG DA - Business Analytics with Excel
- PG DA - SQL
- PG DA - Programming foundation and Data Analytics with Python
- PG DA - R programming for Data Science
- PG DA - Data Analytics with R
- PG DA - Tableau Training
- PG DA - Data Analytics Capstone
Electives:
- PL-300 Microsoft Power BI Certification Training
- Academic Masterclass by Purdue University Online
- Industry Master Class – Data Analytics
- Generative AI Masterclass

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=qkj5gqOSX0o&utm_medium=Description&utm_source=youtube

🔥 Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai?qId=67374d0f-63a8-491e-95e5-3c24926d8968&index_name=prod_search_result_courses&objId=2674&objPos=1
🔥 Generative AI course Masters programme : https://www.edureka.co/masters....-program/generative-
🔥 ChatGPT Training Course: Beginners to Advanced: https://www.edureka.co/openai-....chatgpt-training-cou

In this video, we dive into what NVIDIA is, exploring the company's innovative products. We’ll then cover NVIDIA’s latest news, highlighting recent announcements and advancements, followed by an exploration of core breakthroughs in technology that are driving industry-wide progress. Next, we’ll look at NVIDIA's newly released large language models, which are pushing the boundaries of AI applications, and wrap up with insights from the recent AI Summit, showcasing the latest in NVIDIA’s journey of AI leadership.

✅ 00:00 - Introduction
✅ 01:52 - What is Nvidia?
✅ 03:03- What is the news from Nvidia
✅ 04:10- What is the breakthrough all about?
✅ 04:58- Nvidia New LLM release
✅ 07:14 - What happened in AI Summit
✅ 07:53 - Nvidia worth around the world


✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝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

🔴 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


🔴 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

📌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/

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Why Become Generative AI Engineer?

Generative AI Engineer explores state-of-the-art technologies and make contributions to the field of artificial intelligence. It allows professionals to create models capable of producing authentic content, including images, text, and audio. This role is a combination of technical skills, continuous upskilling, and the prospect of implementing generative AI in various domains, ranging from art and design to healthcare and natural language processing.
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Why should I enroll in Generative AI Course?

We have created the Generative AI Certification Course after thorough research and recommendations from industry experts, along with hands-on experience of tools and systems used by industry experts. Edureka will be by your side throughout the learning journey—we're Ridiculously Committed.

Python
Data Science
Artificial Intelliegence
Natural Language Processing
Generative AI
Prompt Engineering
Large Language Models
ChatGPT, etc.

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For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

In this video, learn how to build your own Small Language Model (SLM) from scratch using Python, PyTorch, and Hugging Face datasets. We’ll walk through every step — from data collection and preprocessing to tokenization, transformer architecture, and model training.

You’ll discover how a compact 10–15 million parameter model can still generate coherent and meaningful text, using concepts inspired by GPT models. This tutorial simplifies complex AI topics like embedding layers, attention mechanisms, loss computation, and next-token prediction — all explained clearly with working code examples.

🔹 Topics Covered:

What are Small Language Models (SLMs)?

Using the TinyStories dataset from Hugging Face

Tokenization with OpenAI’s tiktoken library

Creating .bin training files for efficient processing

Building a Transformer architecture step-by-step

Implementing GPT-like attention blocks

Training configuration and hyperparameter tuning

Generating text from your trained SLM

🎯 Perfect for AI researchers, ML engineers, and enthusiasts who want to understand how GPT-style models actually work under the hood — without requiring massive GPUs or billion-parameter setups.

#SmallLanguageModel #BuildLLM #GPT2Tutorial #TransformerModel #PyTorch #AIML #DeepLearning #NLP #HuggingFace #TrainYourOwnGPT #SLM #LanguageModel #MachineLearning #ArtificialIntelligence #NanoGPT #AIProjects #PythonCoding #AICoding #OpenSourceAI #generativeai

Learn how to build smart AI workflows with N8N: automate tasks, connect apps, and deploy AI agents.

Hostinger: https://jsm.dev/n8n-hostinger + Use code JAVASCRIPTMASTERY
Site24x7: https://jsm.dev/n8n-site24x7

⭐ Join JS Mastery Pro: https://jsm.dev/n8n-jsm
💎 Become a Top 1% Next.js Developer: https://jsm.dev/n8n-nextjs

The Complete Testing Course is LIVE. 🔥
Master Next.js 16 and learn how to ship bug-free apps with production-ready testing.✨ https://jsm.dev/n8n-testing

📁 FREE Video Kit (Code, Figma, Assets, Etc.): https://jsm.dev/n8n-kit
‼ If the links aren’t working for you, please try using a VPN (e.g., in Nigeria)

📗 GSAP Pro Course (includes GTAVI Website): https://jsm.dev/n8n-gsap
📕 Three.js 3D Pro Course: https://jsm.dev/n8n-threejs
📙 JavaScript Pro Course: https://jsm.dev/n8n-cpjsm
🚀 Launch Your SaaS Pro Course: https://jsm.dev/n8n-saas

👉 AI Development Pro Course Waitlist: https://jsm.dev/n8n-aipro
👉 Backend Pro Course Waitlist: https://jsm.dev/n8n-backpro
👉 Tailwind Pro Course Waitlist: https://jsm.dev/n8n-tailwindpro
👉 React.js Pro Course Waitlist: https://jsm.dev/n8n-reactpro
👉 React Native Pro Course Waitlist: https://jsm.dev/n8n-nativepro

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Business Inquiries: [email protected]

Time Stamps:
00:00:00 — Introduction
00:02:57 — What's n8n?
00:04:44 — How to use it
00:12:42 — Core concepts
00:28:38 — Integrations
00:37:17 — AI Agents
00:39:06 — Inbox Manager overview
00:49:53 — Categorize new Emails
01:03:37 — Create issue tasks
01:22:38 — Generate draft replies

Learn more: https://bit.ly/4mVUPyF

Building effective Agentic AI systems is one of the most valuable skills in AI today.

Introducing Agentic AI, a new course from Andrew Ng, now available on DeepLearning.AI.

While most developers build AI that just responds to prompts, the most productive teams are building AI that executes multi-step workflows autonomously. 

In this course, you'll learn how to build 4 key agentic workflows using raw Python so that you'll see how each step actually works.

Skills you’ll gain: 

- Build agentic design patterns: reflection, tool use, planning, and multi-agent workflows
- Integrate AI with external tools: databases, APIs, web search, and code execution
- Evaluate and optimize AI systems: performance metrics, error analysis, and production deployment

Build everything from scratch in Python—no frameworks, no black boxes.

Agentic AI is available exclusively on DeepLearning.AI. With a Pro membership you get access to quizzes, code labs, and Professional Certifications along with early access to our available catalog of advanced AI courses.

Enroll in Agentic AI on DeepLearning.AI: https://bit.ly/4mVUPyF

Welcome to the ultimate Claude Code Full Course! 🤯 In this video, we are building a fully autonomous AI Marketing Officer completely from scratch.

If you are looking for a Claude Code Crash Course for Beginners NOW, this is it. This Claude Code tutorial works as a complete Claude Code beginners guide, walking you through how to setup Claude Code in VS Code (Visual Studio Code). By the end of this video, you'll have a system where you can type one sentence, and Claude will research the topic, draft a week's worth of content (including visuals), and schedule it across your social media platforms.

This isn't just a coding tutorial; it’s a guide on how to use AI to have leverage and scale yourself. Whether you are wondering about Claude Code vs n8n for automation or just want to Master Claude Code in a few hours, this build-along guide covers it all.

In this deep-dive tutorial, we cover:

Claude Code Setup: Installing Claude Code, VS Code, and handling permissions safely.

Skills: Creating custom skills to generate posts from YouTube videos.

Brand Voice: Teaching the AI to write like you (or like Alex Hormozi/Justin Welsh).

Quality Gates: Using hooks to automatically check for bad formatting or banned words.

Sub-Agents: Running parallel agents to post to Twitter and LinkedIn simultaneously.

Claude Code Tips: Essential tricks from 500+ hours of usage.

Don't start your Claude Code course without watching this practical example of building a real-world tool using the Blotato API.


Timestamps

00:00 - Claude Code Full Course Intro & Demo
00:49 - Course Outline: Building an AI Marketing Officer
03:15 - How to Install Claude Code & VS Code Setup
06:34 - Managing Permissions & Safe Mode Prompts
09:24 - Claude Code Modes: Plan Mode vs. Edit Mode
11:23 - Managing Context Windows & Models (Opus 4.6)
13:09 - Building Skill #1: The Social Media 'Post' Skill
16:46 - Integrating the Blotato API for Visuals
24:00 - Testing the Post Skill with a YouTube Video
27:10 - Debugging Live: Handling API Errors
30:39 - Generating Content from Perplexity Search
32:35 - Adding Brand Voice (Alex Hormozi & Justin Welsh Styles)
36:51 - Setting up Quality Gates & Hooks (Validating Posts)
42:19 - Creating Sub-Agents for Cross-Platform Publishing
45:08 - Testing Parallel Publishing (Twitter & LinkedIn)
49:57 - Building Skill #2: The 'Plan Week' Automation
53:38 - Setting up Scheduling Slots for Batch Content
59:00 - Analyzing a 2-Hour Video for Content Angles
01:02:00 - Reviewing the Full Weekly Content Plan
01:07:54 - Creating the CLAUDE.MD Documentation File
01:11:36 - Next Steps & Repurposing this Tool

#ClaudeCode #AIAutomation #n8n
--

I'm Sabrina Ramonov. I'm on a mission to teach 1 million people AI. I'm also the solo founder of Blotato.com. It's a SaaS app for creators/entrepreneurs to go viral faster with AI, just like me (0 to 500k+ in 6 months solo).

How I got here…

0: Born in Quezon City, Philippines 🇵🇭
22 yrs old: Graduated UC Berkeley with degrees in Computer Science and Physics... and $250k in student loans.
23 yrs old: Started Qurious, as Founder/CEO, doing natural language processing (AI) in healthcare.
25 yrs old: Closed pilots with billion-dollar pharmaceutical companies, but failed to reach product market fit.
26 yrs old: Pivoted Qurious a lot, then settled on real-time call guidance for sales and customer support, combining streaming speech recognition (AI) and natural language processing (AI).
28 yrs old: Made the Forbes 30 Under 30 list, while living in a living room of 2BR San Francisco apartment.
30 yrs old: Sold 100% of Qurious to Pegasystems (NASDAQ: Pega) in cash and stock deal ($10M+ total).
31 yrs old: Integrated Qurious with Pegasystems Customer Service to launch Pega Voice AI, now used by 1000s of support agents.
32 yrs old: Started angel investing in VC/seed funds, crypto, and passion areas 🍄 while recovering from burnout by hiking, skiing, and reading. Dropped 50 lbs to get back in shape.
33 yrs old: Started making free content to teach 1 million people AI.
34 yrs old: 0 to 500k+ followers in 6 months with $0 budget, 0 team, $0 paid ads, 0 masterminds.

Today: Started https://Blotato.com to distribute 100+ pieces of content per week. 1000s of creators & entrepreneurs use Blotato to go viral faster with AI.

Get FREE AI prompts, playbooks, and agents 👉 https://sabrina.dev/p/free

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

November 21, 2025
This lecture covers:
• LLM-as-a-judge overview
• Best practices and benefits
• Biases and pitfalls

To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/

Chapters:
00:00:00 Introduction
00:07:08 Inter-rater agreement metrics
00:18:24 Rule-based metrics
00:21:00 METEOR, BLEU ROUGE
00:28:00 LLM-as-a-judge
00:33:44 Structured outputs
00:36:48 Variants
00:38:47 Position, verbosity, self-enhancement bias
00:47:22 Best practices
00:54:06 Factuality
01:00:15 Agent evaluation
01:23:50 Benchmarks
01:25:12 Knowledge with MMLU
01:29:34 Reasoning AIME, PIQA
01:33:57 Coding with SWE-bench
01:36:15 Safety with HarmBench
01:40:51 Agents with Tau-Bench

Afshine Amidi is an Adjunct Lecturer at Stanford University.

Shervine Amidi is an Adjunct Lecturer at Stanford University.

View the course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

Sebastian's books: https://sebastianraschka.com/books/
The lecture slides are available at: https://github.com/rasbt/stat4....53-deep-learning-ss2

Covers some of the more advanced concepts behind convolutional neural networks. In particular, the topics are

- Inception architectures
- Transfer learning

Here are the links to the related, previous videos:
- Intro to CNNs Part 1 https://www.youtube.com/watch?v=7ftuaShIzhc
- Intro to CNNs Part 2 (1/2) https://www.youtube.com/watch?v=mZmyp0JjH6s