In this video we learn about a very important object detection metric in Mean Average Precision (mAP) that is used to evaluate object detection models. In the first part of the video we try to understand how this method works and then move on to PyTorch to implement this from scratch.

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0:00 - Introduction
0:09 - Explanation of mAP
8:19 - Implementation in PyTorch

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Bayesian Deep Learning and a Probabilistic Perspective of Model Construction
ICML 2020 Tutorial

Bayesian inference is especially compelling for deep neural networks. The key distinguishing property of a Bayesian approach is marginalization instead of optimization. Neural networks are typically underspecified by the data, and can represent many different but high performing models corresponding to different settings of parameters, which is exactly when marginalization will make the biggest difference for accuracy and calibration.

The tutorial has four parts:

Part 1: Introduction to Bayesian modelling and overview (Foundations, overview, Bayesian model averaging in deep learning, epistemic uncertainty, examples)

Part 2: The function-space view (Gaussian processes, infinite neural networks, training a neural network is kernel learning, Bayesian non-parametric deep learning)

Part 3: Practical methods for Bayesian deep learning (Loss landscapes, functional diversity in mode connectivity, SWAG, epistemic uncertainty, calibration, subspace inference, K-FAC Laplace, MC Dropout, stochastic MCMC, Bayes by Backprop, deep ensembles)

Part 4: Bayesian model construction and generalization (Deep ensembles, MultiSWAG, tempering, prior-specification, posterior contraction, re-thinking generalization, double descent, width-depth trade-offs, more!)

Slides: https://cims.nyu.edu/~andrewgw/bayesdlicml2020.pdf
Associated Paper: "Bayesian Deep Learning and a Probabilistic Perspective of Generalization" (NeurIPS 2020)
https://arxiv.org/pdf/2002.08791.pdf


Thanks to Kevin Xia (Columbia) for help in preparing the video.

The GPT3 model from OpenAI is a new AI system that is surprising the world by its ability. This is a gentle and visual look at how it works under the hood -- including how the model is trained, and how it calculates its predictions.


Introduction & GPT-3 Demos (0:00)
GPT-3 Inputs and Outputs (2:06)
Training the GPT-3 model (2:48)
The scale of GPT-3 and its 175 billion parameters (6:37)
The order of GPT-3 token processing (7:58)
"Deep" learning: looking inside a layer stack (9:00)
Input prompts and priming examples (11:00)
Fine-tuning: the best is yet to come (11:56)


Twitter: https://twitter.com/JayAlammar
Blog: https://jalammar.github.io/
Mailing List: https://jayalammar.substack.com/

More videos by Jay:
Jay's Visual Intro to AI
https://www.youtube.com/watch?v=mSTCzNgDJy4

Making Money from AI by Predicting Sales - Jay's Intro to AI Part 2
https://www.youtube.com/watch?v=V4-lXSs3jrk

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About the Webinar
IIM Indore invites you to join us for a career information session about general management. You’ll see how the Executive Certificate Program in General Management prepares you to advance in your management career in just six months. And you’ll receive an exclusive bonus just for attending the webinar!

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Prof. Manoj Motiani from IIM Indore will share the following:

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Seema Sahay

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With IIM Indore's General Management program, you will gain an understanding of domains including Operations, HR, Business Strategy, and digital disruption. Understand the fundamentals of how business works and leverage it to support your organization’s strategy. Move from a functional strategy role to a business strategy role with thorough knowledge of the business environment and the new fundamentals of business strategy with this general management program from IIM Indore.

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✅ General Management certificate from IIM Indore
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✅ Induction Session for IIM Indore General Management Program
✅ EC GM - Foundations of Management
✅ EC GM - Economics for Business
✅ EC GM - Accounting and Financial Management
✅ EC GM - Ops & SCM
✅ EC GM - Marketing Management
✅ EC GM - HR
✅ EC GM - Business Analytics
✅ EC GM - Management & Leadership
✅ EC GM - Business Strategy
✅ EC GM - Design Thinking
✅ EC GM - Digital Disruption & Innovation
✅ EC GM - Capstone Project

Skills Covered
✅ General Management
✅ Economics
✅ Accounting
✅ Financial Management
✅ Operations
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In this course, you will learn how to use Rust to create an authentication server. The course provides a comprehensive guide on user data management, structure, and token-based authentication. Special attention is given to error handling, JWT issues, and practical solutions for common challenges. Concluding with a hands-on demo, viewers will gain a thorough understanding of token creation and user management in modern applications

✏️ Course created by @AkhilSharmaTech

0:00:00 Introduction and setup
0:06:42 Admin and user authentication
0:15:53 User data handling and roles
0:28:54 Introduction to user structures and attributes
0:45:41 Token management and claims analysis
1:01:48 Deep dive into roles and tokens
1:05:03 Error handling and permissions
1:14:58 Advanced error insights and JWT issues
1:29:19 Code analysis and issue resolution
1:31:24 Final touches and RS file exploration
1:34:50 Demo review and token creation


🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐖𝐒 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/aws-certification-training
This "Cloud Computing Tutorial for Beginners" video will give you an introduction to the cloud computing world. We will also look at why cloud computing is better along with the advantages of cloud computing. Later, we will look at the types of cloud computing models, and how the lifecycle for developing a cloud based solution occurs. At the very end, we have a demo in which we will use AWS services to help a normal business transition to cloud. This video is ideal for those who want to become an AWS Certified Solutions Architect.

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

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In this video on What Is LangChain,we will cover what LangChain is, why we need LangChain, how does LangChain work, and some applications of LangChian and at last we will see the demo part in which we covered how you chain your outside resources using LLM's (OpenAI Chatgpt). LangChain is an open-source framework that allows you to build applications using LLMs (Large Language Models).

Below are the topics covered in this LangChain tutorial:

00:00 LangChain Explained in 14 Minutes
00:04 Introduction to LangChain
02:48 What is LangChain ?
03:43 Why do we need LangChain?
04:34 How does LangChain Work?
05:43 Use cases of LangChain
07:13 LangChain Demo Explained

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#LangChain #AITrainingforBeginners #AITraining #AI #ArtificialIntelligence #Simplilearn

➡️ 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.

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- Simplilearn's JobAssist helps you get noticed by top hiring companies
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- Ensemble Learning
- Computer Vision

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🔥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.
The following topics are covered in this 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 Tutorial video:
00:00:00 Introduction to ChatGPT
00:01:03 About OpenAI
00:01:40 What is ChatGPT
00:01:58 Risks of ChatGPT
00:02:18 How to use ChatGPT
00:03:10 ChatGPT Interface
00:05:12 Using prompts in ChatGPT
00:07:31 Tricking ChatGPT to give wrong answers!
00:08:00 Conversation threads in ChatGPT
00:08:46 Shopping List using ChatGPT
00:10:36 ChatGPT for Coding
00:12:35 Using ChatGPT for Writing Content
00:13:43 Conclusion

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
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📌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: 18338555775 (toll-free) for more information.

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=-v9PiM6cqLM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=-v9PiM6cqLM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=-v9PiM6cqLM&utm_medium=DescriptionFirstFold&utm_source=Youtube

The Generative AI Full Course 2025 by Simplilearn starts with an introduction to Generative AI, covering beginner tutorials and the AI career landscape in 2025. It delves into the Gen AI engineer roadmap, the top AI technologies, and Deepseek R1. Learners explore deep learning, GANs, transformers, and LLMs, along with Search GPT and Langchain. The course provides a strong foundation in machine learning, reinforcement learning, and benchmarking LLMs. Practical applications include ChatGPT analysis, OpenAI Sora, and Hugging Face tutorials. The course concludes with AI tools for job interviews, Agentic AI, Google Quantum AI, and deep learning interview questions.

Following are the topics covered in the Gen AI Full Course 2025:

00:00:00 Introduction to Gen AI Full Course 2025
00:04:37 What is Gen AI ?
00:05:22 Generative AI Tutorial For Beginners
00:16:24 AI Careers in 2025
00:24:33 Gen AI Engineer Roadmap
00:33:40 Top 10 AI Technologies in 2025
00:57:46 Introduction to Deepseek r1
01:04:45 Deep Learning Tutorial
01:13:02 What is Search GPT
01:15:17 Langchain Tutorial
02:11:52 Generative Adversarial Tutorial
02:21:14 What are GANS?
02:22:15 Transformers in AI
02:34:44 LSTM Tutorial
02:36:08 Introduction to LLM
03:37:21 What is Machine Learning?
04:33:53 Machine Learning Tutorial
06:39:16 Reinforcement Learning
06:59:07 ChatGPT Analyze
07:10:03 Openai sora
07:18:56 LLM Benchmarking
08:09:39 Hugging Face Tutorial
08:25:03 OpenAI ChatGPT o1 model
08:30:12 Gen AI Tools for Job Interview
09:07:14 Agentic AI Tutorial
09:15:37 Google Quantum AI
11:15:58 Deep learning Interview questions and Answers

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

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=MXzW_snCLAk&utm_medium=Description&utm_source=Youtube

Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 2 of that workshop.

In this, we cover the following four aspects:

1. 00:00 Recap of part 1: data pre-processing, tokenization, input-output pairs
2. 10:55 Building blocks of the SLM architecture
3 01:08:34 Attention Mechanism Explained

If you want to get access to the detailed lecture notes, register here: https://vizuara.ai/courses/bui....ld-slm-from-scratch-

Welcome to this comprehensive SQL tutorial course. This course covers the basics of relational databases and SQL, including setting up MySQL, inserting data, and working with aggregation, grouping, and pagination in SQL queries. It also covers advanced topics such as combining tables using joins, executing SQL queries using Python and SQL Alchemy, and solving technical interview questions. By the end of this course, you'll have the knowledge and confidence to excel in SQL.

✏️ Course created by@jovianhq

Important Links
🔗 Relational Databases notebook - https://jovian.com/aakashns/re....lational-databases-a
🔗 Advanced SQL Aggregation & Joins notebook - https://jovian.com/aakashns/ad....vanced-sql-aggregati
🔗 SQL data file: https://raw.githubusercontent.....com/harsha547/Classi

A database is an organized collection of structured information, typically stored in the form of tables (rows & columns). Relational databases allow storing and retrieving different kinds of related information e.g. products, customers, and orders for an online shopping site. Structured Query Language or SQL (pronounced "sequel") is the most widely used language for interacting with relational databases, and is an essential skill for Data Science professionals.

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:28) Relational Databases & SQL
⌨️ (0:03:05) Setting up MySQL
⌨️ (0:29:23) Inserting Data into the Table
⌨️ (0:56:32) Practice Exercises
⌨️ (1:22:12) Aggregation, grouping & pagination in SQL queries
⌨️ (2:23:17) Mapping and Arithmetic Functions
⌨️ (2:54:53) Working with Dates
⌨️ (3:12:16) Combining Tables using Joins
⌨️ (3:30:14) Executing SQL queries using Python and SQL Alchemy
⌨️ (4:11:06) 3 step approach to Interview Questions
⌨️ (4:36:58) Interview Q - Apple
⌨️ (4:38:59) Interview Q - Linkedin
⌨️ (4:43:09) Interview Q - Meta
⌨️ (4:50:41) Interview Q - Uber
⌨️ (4:59:18) Interview Q - Amazon
⌨️ (5:07:27) Interview Q - Google

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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Learn to code for free and get a developer job: https://www.freecodecamp.org

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🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=StatisticsForDataScience-Lv0xcdeXaGU&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootcamp?utm_campaign=StatisticsForDataScience-Lv0xcdeXaGU&utm_medium=DescriptionFirstFold&utm_source=youtube

Statistics is a branch of applied mathematics, that is the study and manipulation of data, including ways to gather, review, analyze, and draw conclusions. This is why statistics still holds a very important place in today’s data science and business intelligence world. In this statistics tutorial, you will learn all about statistics, including, percentile in statistics, what is normal distribution, Central Limit Theorem, and probability density function. Start learning the statistics tutorial now.


Statistics is primarily an applied branch of mathematics, which tries to make sense of observations in the real world. Statistics is generally regarded as one of the pillars of data science.

➡️ Data scientist Masters Program
What are the course objectives?
This course will enable you to:
1. Gain a foundational understanding of business analytics
2. Install R, R-studio, and workspace setup. You will also learn about the various R packages
3. Master the R programming and understand how various statements are executed in R
4. Gain an in-depth understanding of data structure used in R and learn to import/export data in R
5. Define, understand and use the various apply functions and DPLYP functions
6. Understand and use the various graphics in R for data visualization
7. Gain a basic understanding of the various statistical concepts
8. Understand and use the hypothesis testing method to drive business decisions
9. Understand and use linear, non-linear regression models, and classification techniques for data analysis
10. Learn and use the various association rules and Apriori algorithm
11. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering

Who should take this course?
There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training, especially for the following professionals:
IT professionals looking for a career switch into data science and analytics
Software developers looking for a career switch into data science and analytics
Professionals working in data and business analytics
Graduates looking to build a career in analytics and data science
Anyone with a genuine interest in the data science field
Experienced professionals who would like to harness data science in their fields

Who should take this course?
There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training, especially for the following professionals:
1. IT professionals looking for a career switch into data science and analytics
2. Software developers looking for a career switch into data science and analytics
3. Professionals working in data and business analytics
4. Graduates looking to build a career in analytics and data science
5. Anyone with a genuine interest in the data science field
6. Experienced professionals who would like to harness data science in their fields

🔥 Learn More: https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=StatisticsForDataScience&utm_medium=Description&utm_source=youtube

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

This demo shows how to run large AI models from #huggingface on a Single GPU without Out of Memory error. Take a OPT-175B or BLOOM-176B parameter model .These are large language models and often require very high processing machine or multi-GPU, but thanks to bitsandbytes, in just a few tweaks to your code, you can run these large models on single node.

In this tutorial, we'll see 3 Billion parameter BLOOM AI model (loaded from Hugging Face) and #LLM inference on Google Colab (Tesla T4) without OOM.

This is brilliant! Kudos to the team.

bitsandbytes - https://github.com/TimDettmers/bitsandbytes
Google Colab Notebook - https://colab.research.google.....com/drive/1qOjXfQIAU

** Tableau Certification Training: https://www.edureka.co/tableau....-certification-train **
"Level of Detail" is a new syntax which, both, simplifies and extends Tableau’s calculation language by making it possible to address level of detail questions directly. In this Edureka tutorial, you’ll gain insights into how LOD Expressions work, along with a more in-depth look at the different types of LOD Expressions and their respective use cases.

01:18 Introduction to LOD
06:12 Include Calculation
06:46 Exclude Calculation
07:12 Fixed Calculation
08:21 Aggregation & LOD
11:14 Nesting in LOD
12:16 Data Sources Supported by LOD
12:26 How to Create LOD Expressions
17:00 Level of Detail vs Table Calculations
18:04 Limitations of LOD

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

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Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
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--------------------------------------------------------------------------------------------

Tableau playlist here: https://goo.gl/NTpehs
Tableau Blog Series: http://bit.ly/2Hv6LsR

#edureka #tableaulod #levelofdetailtableau #tableaututorial #tableaucertification #tableaudataanalysis #tableauvisualization #tableau

How it Works?
This is a 5 Week Instructor-led Online Course, 25 hours of assignment and 20 hours of project work
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.
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!

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

About the Course

Edureka's Tableau Certification training is designed to help you become a top Tableau Professional. During this course, our expert Tableau instructors will help you:
Understand the need for visualization
Make advance insightful visuals
Perform scripting
Create comprehensive dashboards
Connect with multiple sources
Integrate Tableau with R
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Who should go for this course?

The following professionals can go for this course :
Data Scientists
Business Analysts
Statisticians and Analysts
Project Managers
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Why learn Tableau?

Tableau is a leader in Gartner's magic quadrant in BI & Data analytic field. Being used in various leading domains like Business Intelligence, Marketing, Big Data Hadoop, etc., Tableau is one skill set most professional wish to carry ahead in their career. As per Indeed.com, the mean salary of Tableau professional is $ 100,000.

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

For Tableau Training and Certification, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥Edureka Tensorflow Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"):
https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka "𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐄𝐱𝐩𝐥𝐚𝐢𝐧𝐞𝐝" video will help you in understanding why we need Transformers and what exactly it is. It also explains few issues with training a Recurrent Neural Network and how to overcome those challenges using Transformers.

🔹Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
🔹Check our complete Deep Learning With TensorFlow Blog Series: http://bit.ly/2sqmP4s
🔴Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

00:00 Introduction
00:41 Introduction to Deep Learning
04:48 NLP Using RNN
06:16 Scaling up NLP Task
08:13 Transformers Walk Through
10:16 Top Language Models


📌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/
00:00 Agenda
01:28 Introduction to Deep Learning
08:24 What is Deep Learning
13:02 NLP using RNN
15:59 Scaling up NLP task
16:49 Transformers WalkThrough
19:51 Top Language Models

#Edureka #EdurekaDeepLearning #Transformersxplained #TransformerNeuralNetworks #DeepLearningLanguageModels #DeepearningTutorial #EdurekaTraining

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

🔵 DevOps Online Training: http://bit.ly/3qqcotZ
🌕 Python Online Training: http://bit.ly/3i7DiDD
🔵 AWS Online Training: http://bit.ly/39EOIv9
🌕 RPA Online Training: http://bit.ly/39t6MrE
🔵 Data Science Online Training: http://bit.ly/3bywuOu
🌕 Big Data Online Training: http://bit.ly/35ADG8L
🔵 Java Online Training: http://bit.ly/35Avwxb
🌕 Selenium Online Training: http://bit.ly/2Ltn4ZE
🔵 PMP Online Training: http://bit.ly/2LMP3mT
🌕 Tableau Online Training: http://bit.ly/38z4oR9
🔵 Microsoft Azure Online Training: https://bit.ly/3wsAhV4
🌕 Power BI Online Training: https://bit.ly/3zq1WHX

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

🔵 DevOps Engineer Masters Program: http://bit.ly/2MY1OMc
🌕 Cloud Architect Masters Program: http://bit.ly/2MY1OMc
🔵 Data Scientist Masters Program: http://bit.ly/3qaVZJA
🌕 Big Data Architect Masters Program: http://bit.ly/3qaVZJA
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3bxAhLG
🌕 Business Intelligence Masters Program: http://bit.ly/3byBhiS
🔵 Python Developer Masters Program: http://bit.ly/3nw4Rb2
🌕 RPA Developer Masters Program: http://bit.ly/3nw4Rb2

----------------------------------
How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

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

About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.

Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.

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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).

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

A friendly explanation of how computers predict and generate sequences, based on Recurrent Neural Networks.
For a brush up on Neural Networks, check out this video: https://www.youtube.com/watch?v=BR9h47Jtqyw

0:00 A friendly introduction to Recurrent Neural Networks
1:38 A friendly introduction to Deep Learning and Neural Networks
2:11 Vectors
5:22 Perfect Roommate
7:13 Simple Neural Network
7:54 Simple (Recurrent) Neural Network
10:03 Cooking Schedule
11:47 More Complicated RNN
12:06 Food
13:31 Weather
14:38 Add
16:02 Merge
20:53 Start with random weights
21:05 Use Gradient Descent
21:41 New Error Function

What exactly is Agentic AI? In this video, we will go through an extremely simple explanation of Agentic AI. We will compare Agentic AI systems with Workflows that use LLMs but are not agentic in nature.

00:00 Introduction
00:13 RAG Based AI System
01:06 Tool Augmented AI System
02:08 Agentic AI System
08:02 Agentic AI Apps with Code
09:31 Low Code Agentic AI
11:16 AI Agent vs Agentic AI
11:42 Gen AI vs Agentic AI

Anthropic agent guide: https://www.anthropic.com/engi....neering/building-eff
RAG and tool ammended AI system project 1: https://youtu.be/CO4E_9V6li0?si=4BhXW9c6HnPC2uww
RAG and tool ammended AI system project 2: https://youtu.be/jLM6n4mdRuA?si=oKer2d5eyixiTgF5
Agno reasoning agent: https://docs.agno.com/reasonin....g/reasoning-agents#r

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Redeem on new purchases before Feb 01, 2026

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
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📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
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🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

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

December 5, 2025
This lecture covers:
• Recap
• Trending topics
• Closing thoughts

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

Chapters:
00:00:00 Introduction
00:01:12 Transformer
00:06:35 Transformer-based models & tricks
00:11:17 Large Language Models
00:15:05 LLM training
00:24:09 LLM tuning
00:29:41 LLM reasoning
00:38:37 Agentic LLMs (RAG, tool calling)
00:44:09 LLM evaluation
00:48:57 Vision Transformer
01:04:02 Diffusion-based LLMs
01:23:38 Closing thoughts
01:50:16 Thank you!

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