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Ensemble Learning is a popular machine learning technique for building models. This video on Ensemble Learning covers the basics of Ensemble Learning Methods. You will learn about the Adaboost and Gradient boosting algorithm. You will get an understanding of the Xgboost technique. The video will make you learn how to create a model using Ensemble Learning. Finally, you will look into the model selection and cross-validation skills.

1. Ensemble Learning
2. Overview
3. Ensemble Learning Methods: Part a
4. Ensemble Learning Methods: Part B
5. Working with Adaboost
6. Adaboost Algorithm and Flowchart
7. Gradient Boosting
8. Xgboost
9. Xgboost Parameters: Part a
10. Xgboost Parameters: Partb
11. Demo: Pima Indians Diabetes
12. Model Selection
13. Common Splitting Strategies
14. Demo: Cross Validation
15. Key Takeaways

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#EnsembleLearning #EnsembleLearningInMachineLearning #WhatIsEnsembleLearning #EnsembleLearningMethod #MachineLearningTutorial #Simplilearn

Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.

🔥Free Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=EnsembleLearning&utm_medium=Description&utm_source=youtube

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

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

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: https://www.edureka.co/ai-deep....-learning-with-tenso (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
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.
00:00:00 Agenda
00:01:28 Introduction to Deep Learning
00:08:24 What is Deep Learning
00:13:02 NLP using RNN
00:15:59 Scaling up NLP task
00:16:49 Transformers Walkthrough
00:19:51 Top Language Models

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔥 Prompt Engineering Course: https://www.edureka.co/prompt-....engineering-generati
This informative video on Prompt Engineering for Code Generation will help you understand prompt engineering for code generation, its principles, and a few practical questions. Gain insights into how prompt engineering for code generation is shaping various industries and staying ahead in the dynamic field of artificial intelligence. In this informative video of Prompt Engineering For Code Generation, we will cover essential topics such as:

✅ 00:00 - Introduction
✅ 00:58 - Prompt engineering for code generation
✅ 01:32 - Principles of Prompt Engineer
✅ 05:15 - Prompt engineering for coding practical examples

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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

About Prompt Engineering Course
A streamlined curriculum covering fundamental engineering concepts in physics, electronics, and mathematics is provided by the Prompt Engineering Course. Through projects and assessments, it places a strong emphasis on experiential learning, preparing students for careers in entry-level engineering or for further study.
- - - - - - - - - - - - - -

Who should go for this course?
The Prompt Engineering Course is appropriate for people who want to work in engineering or related fields and need a structured introduction to basic ideas and practical experience. It serves both novices and those seeking to reinforce their grasp of fundamental engineering concepts.

- - - - - - - - - - - - - -
What are the Prerequisites for this course?
Although there are no formal prerequisites for the Prompt Engineering Course, it usually helps to have a basic understanding of mathematics and physics. It is intended for people who want to learn the fundamentals of engineering in order to pursue careers or further education in engineering-related fields.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#edureka #edurekatraining #promptengineer #code generation #prompt #promptcodegeneration #edurekacourse"

This is the 1st video in a series on using large language models (LLMs) in practice. I introduce LLMs and three levels of working with them.

▶️ Series Playlist: https://www.youtube.com/playli....st?list=PLz-ep5RbHos
📰 Read more: https://towardsdatascience.com..../a-practical-introdu

Music by Me
https://soundcloud.com/shawhin....-talebi/letsalljustt
https://www.youtube.com/@shawhin-music

--
Homepage: https://shawhintalebi.com/

Intro - 0:00
What is an LLM? - 1:13
Zero-shot Learning - 3:36
How do LLMs work? - 5:44
3 Levels of Using LLMs - 7:52
Level 1: Prompt Engineering - 8:22
Level 2: Model Fine-tuning - 11:00
Level 3: Build your own - 13:13

Are you confused about What are Large Language models (LLMs)?
Which LLM to use according to your problem statement?
Which LLM is affordable and Which LLM is Open Source?
What are Top LLMs in Market today 2023?

Then this video is your solution!, Join me on an exciting journey into the world of Large Language Models (LLMs) and their impact on Artificial Intelligence. In this video, we delve deep into the capabilities of cutting-edge LLMs, their applications in Generative AI, and how they are transforming the fields of Content Generation, Software Development, Data Science, and many more domains. Discover the power of language generation, natural language processing, and creative AI. Stay up-to-date with the latest advancements in AI and explore the endless possibilities with Large Language Models. Don't miss this opportunity to expand your knowledge and explore the limitless potential of AI-driven language technologies.

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
This Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐫𝐚𝐬𝐡 𝐂𝐨𝐮𝐫𝐬𝐞 will explain what ChatGPT is all about. In this ChatGPT tutorial, you will learn about how ChatGPT works and the language model that ChatGPT uses.

ChatGPT is an artificial intelligence chatbot developed by OpenAI and launched in November 2022. It is built on top of OpenAI's GPT-3 family of large language models and has been fine-tuned using both supervised and reinforcement learning techniques.

⏩ Edureka ChatGPT Explained Playlist: http://bit.ly/3HGRy3G

#ChatGPTCrashCourse #edureka #chatgptexplained #chatgpt #openai #chatgpttutorial #chatgpt3 #ai #nlp #artificialintelligence

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 Artificial and Machine Learning PGD with E&ICT Academy
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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

🔵 About Edureka ChatGPT Certification Training Course

Edureka’s ChatGPT Certification Training Course will teach you about ChatGPT architecture, GPT models, methodology, and real-world applications. The ChatGPT certification training program is an excellent choice for individuals and organizations seeking to improve their language processing and AI skills and knowledge.

🔵 Why take up the Online ChatGPT Certification Course?

Interested individuals can opt for the Online ChatGPT Certification course as this course provides:

Comprehensive knowledge: The course provides a comprehensive understanding of ChatGPT, including its architecture, training methodology, and real-world applications.

Career advancement: The certification demonstrates an individual's expertise and competence in working with ChatGPT, making them a valuable asset to any organization.

Stay ahead of the curve: ChatGPT is a rapidly growing field, and with the certification, one can stay ahead of the curve and stay updated with the latest advancements in the industry.

Enhance skills: The course provides practical skills and knowledge that can be applied to various areas and industries.

🔵 Who should take up this ChatGPT Certification Course?

The ChatGPT Certification Course is suitable for a wide range of individuals, including:

AI professionals: This course is ideal for AI professionals who want to gain expertise in ChatGPT and expand their knowledge in the field of AI.

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➡️ 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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In this beginner-friendly crash course, I’ll show you how to use real-world data with Python to create something cool from scratch.

Timeline:

00:00 - Getting Started
0:54 - What is Machine Learning
3:19 - Machine Learning Pipeline
7:18 - Popular ML Libraries & Tools
12:42 - Importing Data
20:17 - Jupyter Shortcuts
25:16 - A Real Machine Learning Problem
29:13 - Preparing the Data
32:34 - Learning & Predicting
37:28 - Calculating Model Accuracy
44:10 - Persisting Models
48:32 - Visualizing Decision Trees

Playlist Link: https://www.youtube.com/watch?v=rE9XJGakAUM&list=PLNIQLFWpQMRVKC_zohdgl3pjDk4rlN3jc

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Was this video on Python using Machine Learning helpful? Let me know your thoughts in the comments.

#python #artificialintelligence #machinelearning

How does AI learn? Is AI conscious & sentient? Can AI break encryption? How does GPT & image generation work? What's a neural network?
#ai #agi #qstar #singularity #gpt #imagegeneration #stablediffusion #humanoid #neuralnetworks #deeplearning

I used this to create neural nets:
https://alexlenail.me/NN-SVG/index.html

More info on neural networks
https://youtu.be/aircAruvnKk?si=Go9XAXR8TqmhX-5m

How stable diffusion works
https://youtu.be/sFztPP9qPRc?si=aF-doepEiaiDrG6z

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Latent Dirichlet Allocation is a powerful machine learning technique used to sort documents by topic. Learn all about it in this video!

This is part 1 of a 2 video series.
Video 2: https://www.youtube.com/watch?v=BaM1uiCpj_E

For information on my book "Grokking Machine Learning": https://www.manning.com/books/....grokking-machine-lea
Discount code (40%): serranoyt

0:00 Introduction
0:11 The problem
3:47 Machine that generates documents
5:13 Blueprint for the LDA machine
5:49 Probability of a document
9:22 Quiz: Which one for topics?
11:06 A distribution of distributions
11:30 More topics? More dimensions
12:20 In More dimensions
12:55 Quiz: Where to put the topics?
14:05 Two Dirichlet distributions
14:22 Latent Dirichlet Allocation
22:05 Best settings on the machine
22:37 The winning arrangements
25:28 Series of two videos
25:48 Acknowledgements
26:30 Thank you!

Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 1 of that workshop.

In this, we cover the following four aspects:

1. 00:00 Introduction to SLM
2. 40:15 Dataset loading
3. 53:36 Tokenization
4. 01:24:42 Creating input-output pairs

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

This video covers about Small Language Models with a cast study

⏱ Chapter Timestamps
====================
00:00 - Intro
00:28 - What is Small Language Model
02:31 - Need for SLMs?
03:00 - Case Study: Offline Applications
05:06 - SLMs in the market

Join this channel by contributing to the community:
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📌 Related Links
=============
🔗CoPilot+PCs - https://www.youtube.com/watch?v=5JmkWJNng2I

📌 Related Playlist
================
🔗 AI Primer Playlist - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring Boot Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring Cloud Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring Microservices Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring JPA Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Java 8 Streams - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
🔗Spring Security Primer - https://www.youtube.com/playli....st?list=PLTyWtrsGknY

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🎬 Video Editing: FCP

---------------------------------------------------------------
🔥 Disclaimer/Policy:
The content/views/opinions posted here are solely mine and the code samples created by me are open sourced.
You are free to use the code samples in Github after forking and you can modify it for your own use.
All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms.
#SmallLanguageModel #LLMs #RAG

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Want to build AI agents but think you need to code? Wrong. In this video, I show you exactly how to create production-ready AI agents from scratch using three platforms: OpenAI Agent Builder, Botpress, and Zapier AI Agents.

You'll see the full workflow—from blank canvas to live agent—including:
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✅ Cost comparison and scaling strategies

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• How to use ChatGPT to write agent prompts for you
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Gemini 3 is our most intelligent model yet that helps you bring any idea to life. In this video, you’ll learn how to build an AI Agent with Gemini 3 Pro and the Agent Development Kit (ADK). You’ll explore how to build a single agent with access to Google Search as its tool, and interact with it using a web UI. We will also learn how Gemini 3 Pro uses Thought Signatures and we will explore its chain of thought when the agent receives a prompt.


Resources:
Getting started with uv → https://goo.gle/4a7M7KG
ADK Google Search Tool docs → https://goo.gle/3LGFKUR
Github Repo for the AI Agent built with Gemini 3 Pro →
https://goo.gle/4pq0pep

Timestamps:
0:00 - Introduction to Gemini 3 Pro
0:32 - Initializing the Project & Installing ADK and GenAI libraries
1:25 - Setting up Google AI Studio’s API Key & Creating Agent Scaffolding with ADK Create
2:00 - Implementing the Google Search Tool
2:33 - Configuring the Gemini 3 Pro Model
3:14 - Deploying the Agent to ADK Web
4:29 - Testing the Agent
5:24 - Thought Signatures and Analyzing Chain of Thought
6:40 - Conclusion

Speaker: Smitha Kolan
Products Mentioned: Gemini, Google AI, Agent Development Kit (ADK)

Build your first AI agent without coding, check out Lindy: https://go.lindy.ai/ishan

In the past few months, the internet has been flooded with articles and videos about AI agents, highlighting how they simplify people's lives, maximize productivity, and even generate income.

I finally found a crazy AI tool that can help you build AI agents by just describing your idea through a simple text prompt. It has more than 1000 integrations, and it works with all your daily apps like Gmail, Google Calendar, Notion, Sheets, and even social media apps.

From email replier, meeting summariser, AI grammar assistant, to even writing social media posts for you, you can build agents for anything

It has lots of ready-to-use templates that you can try out and start building for free

The smartest people I know are already using AI agents like this to free up their time.

Watch the video till the end to learn about it in detail, and let me know in the comments what you are going to build with Lindy

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

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

CHAPTERS:-
00:00 - Introduction
01:34 - Lindy interface
02:06 - Flow editor
09:51 - AI agent
11:38 - Examples of AI agents
15:49 - Conclusion

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✨ Hashtags ✨
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🚀 Complete Claude Code Resources & Course: https://skool.com/scrapes
Don't miss the next build - https://www.youtube.com/@simon....scrapes?sub_confirma
Grab the full resources for this video here (free): https://scrapeshq.notion.site/....Every-Level-of-Claud

Think you're getting the most out of Claude Code? You're probably just scratching the surface. In this video, we break down the 7 levels of mastery, guiding you from basic prompting all the way to building fully autonomous systems. Stop the trial-and-error and start unlocking Claude Code's true potential today.

00:00 - Every Level of Claude Code Explained in 39 Minutes
00:41 - Level 1: The One Thing You Need To Know
03:25 - Level 2: Personalizing CLAUDE for better responses
10:25 - Level 3: Slash Commands, Skills & Hooks - Repeatability
21:21 - Level 4: Connecting Claude Code to Your Apps (MCPs)
26:18 - Level 5: Move from Executor to Supervisor
29:34 - Level 6: Agent Teams
35:57 - Level 7: Fully Autonomous Systems


#claudecodetutorial #masterclaudecode #claudecode