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This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

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

00:00:00 - Introduction to Gen AI Full Course 2025
00:00:45 - What is Gen AI
00:11:24 - Roadmap Gen AI
01:16:27 - What is Machine Learning
01:23:26 - Deep Learning
01:24:50 - Introduction to LLM
01:47:32 - What are Gen AI Agents
02:24:34 - Agentic AI
03:21:06 - Machine Learning Tutorial
05:26:29 - Reinforcement Learning
05:42:34 - Deepseek r1
05:53:47 - Install Deepseek
06:44:30 - Hugging Face and its tutorial
06:52:47 - Search GPT
06:55:02 - Langchain
07:51:37 - Generative Adversarial Tutorial
09:21:57 - Introduction to agentic workflow
09:31:19 - What are Gans
09:32:20 - Transformers in AI
09:44:49 - LSTM
10:04:40 - CHatgpt analyse
10:15:36 - Openai sora
10:24:29 - LLM Benchmarkeing
10:39:53 - Open ai chatgpt o1 model
10:48:16 - Google Quantam AI
10:53:49 - Majorana
10:58:58 - Gen ai tools for job interview
12:59:19 - Deep learning Interview questions
13:05:13 - Claude 3 sonnet

✅ 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

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➡️ 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.

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

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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

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
This is the ultimate AI full course for absolute beginners who want to understand and start building with Artificial Intelligence — step by step and from scratch.
💡 What You’ll Learn:
✅ What is AI and how it works in 2026
✅ Difference between AI, Machine Learning & Deep Learning
✅ Real-world use cases of AI (ChatGPT, Automation, Robotics, etc.)
✅ Hands-on beginner AI projects (no coding experience required)
✅ Free AI tools and platforms you can start using today
✅ How to build a career in AI
💼 Perfect for:
Students | Beginners | Developers | Entrepreneurs | Anyone curious about Artificial Intelligence
00:00:00 Introduction
00:01:48 What is Artificial Intelligence?
00:04:02 Types Of Artificial Intelligence
00:14:16AI vs Machine Learning vs Deep Learning
00:28:00 What is Deep Learning?
00:39:13 What is LLM? (Large Language Model)
00:55:43 What is AI Ethics?
01:04:19 What is Responsible AI?
01:12:33 Artificial Intelligence with Python
02:51:29 Artificial Neural Network
03:23:17 Recurrent Neural Networks
03:52:09 Convolutional Neural Network
04:12:44 Introduction to TensorFlow
04:36:21 OpenAI o3-mini Model
04:43:33 Introduction to Midjourney
05:02:05 How to use Midjourney?
05:09:48 GitHub Copilot
05:27:07 What is Vibe Coding?
05:36:17 Top 5 AI Frameworks
05:51:02 How AI is Transforming Studio Ghibli-Style Animation?
05:56:29 AI in Web Development
06:21:40 AI in Healthcare
06:30:22 AI in Retail
06:36:31 AI in Automotive
06:46:26 AI for Marketing
06:59:02 AI for Business
07:04:29 AI in Finance
07:13:06 AI for HR
07:19:28 AI in Manufacturing
07:25:55 AI in Cybersecurity
07:35:44 AI for Startup
07:44:17 AI for Testing
07:49:43 AI for Ethical Hacking
07:54:37 AI on Microsoft Azure
08:07:02 AI and Industry 4.0
08:12:03 AI Engineer Learning Path 2025
08:19:15 Top 15 AI Skills You Need to Know
08:27:35 Build AI Applicant Tracking System (ATS)
08:43:09 Artificial Intelligence Interview Questions & Answers

🚀 Subscribe for more free AI & Tech tutorials!
👍 Like this video and comment your favorite part!

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This video on what is Power BI will help you learn why Power BI is important, the various features of Power BI, and the components of Power BI. Then, you will learn how the architecture of Power BI works and the Power BI service. You will get an idea about how to build dashboards in Power BI. Finally, you will learn how Meijer solved its business problems using Power BI and perform a demo using Power BI. Now, let's dive into learning Power BI in detail.

Below topics are explained in this Power BI tutorial:
0:00 Introduction
0:49 Why Power BI?
02:06 What is Power BI?
02:22 Features of Power BI
03:20 Components of Power BI
04:59 Power BI Service
06:15 Power BI Dashboard
06:50 Create and publish reports in Power BI Dashboard
07:22 Power BI Architecture
07:53 Power BI demo

🔥Free PowerBI Course: https://www.simplilearn.com/learn-power-bi-basics-free-course-skillup?utm_campaign=PowerBI&utm_medium=Description&utm_source=youtube

Below topics are explained in this Power BI tutorial:
1. Why Power BI? 00:45
2. What is Power BI? 01:57
3. Features of Power BI 02:18
4. Components of Power BI 03:15
5. Architecture of Power BI 07:22
6. Power BI Service 04:59
7. Power BI Dashboard 06:14
8. Power BI Case Study 07:53
9. Power BI Demo 08:59

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

To access the slides, click here: https://www.slideshare.net/Sim....plilearn/what-is-pow

Watch more videos on Power BI: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#WhatIsPowerBI #PowerBI #PowerBITutorial #PowerBITraining #PowerBISimplilearn #PoerBiIntroduction #PowerBIForBeginners #PowerBiTutorialForBeginners #Simplilearn

➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- 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 Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

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

If you're an absolute beginner in web development, you can learn the basics of HTML here. This video covers setting up an HTML file, and the basic HTML tags and what they mean.

Download the website files to follow along with this tutorial:
https://coder-coder.com/cu-basic-website-html/

Read the blog post version here:
https://coder-coder.com/how-to....-make-simple-website

-

Learn to code for free and get a developer job: https://www.freecodecamp.com

Read hundreds of articles on programming: https://medium.freecodecamp.com

👉 GET $500 IN FREE CREDITS (first 500 people only):
https://www.hyperagent.com/vaibhav

👉 GRAB EVERY PROMPT AND BUILD ALONG (FREE):
https://links.stayingahead.com/YT67

━━━━━━━━━━━━━━━━━━━━━━

Millions of AI agents are already working right now — and almost nobody outside
of tech knows how to build one. In this video you'll build 3 no code AI agents
in 15 minutes, including one that builds and manages an entire army of AI agents
for you. Zero coding. Nothing to install. Total cost: under $10.

Everyone learned ChatGPT and Claude. Almost nobody learned what came after it.

Here's the difference. Today you open a tab, ask a question, get an answer, close
it and tomorrow you start from zero. An AI agent doesn't work like that. You
build it once, it remembers you, and it keeps working long after you've shut the
laptop.

This is a complete no code AI agent tutorial for beginners. No developer
background needed, no terminal, no API keys pasted from a doc you don't
understand. Everything runs in your browser, on whatever laptop you already own.

WHAT YOU'RE BUILDING:

Level 1 — Your first AI agent. The simplest working version there is.
Level 2 — An AI agent that builds and manages an army of other AI agents,
running multiple jobs at the same time.
Level 3 — A fully autonomous agent that runs on its own every morning and has
a report waiting for you before you wake up.

We're using Hyperagent, built by the founder of Airtable. A normal AI forgets
everything about you the second you close the tab. This one remembers your whole
setup and keeps working on its own — less like a chatbot you re-explain yourself
to every time, more like an employee you hire once.

People are already selling agent builds like these for a couple thousand dollars.
This one cost under ten dollars to make. That's what a one person business looks
like in 2026.

━━━━━━━━━━━━━━━━━━━━━━

⏱ TIMESTAMPS
0:00 Everyone learned ChatGPT. Nobody learned this
0:40 The real question: how AI makes money
1:04 The tool that makes this possible
1:21 Free credits + all prompts
1:38 BUILD 1: The offer that brings money in
2:29 Building the wedding decor agent
3:38 One photo, three decorated venues
4:12 Saving it as a reusable agent
4:44 The pricing page that sells itself
5:16 What it actually cost: $11
5:39 BUILD 2: The agent that builds a whole company
6:53 Setting up the startup team
7:37 How it saves money mid-task
7:54 The research report
8:19 The builder and the brand
9:03 Finding 7 real customers, live
9:22 Turning it into reusable skills
9:42 Plugging into Gmail, Slack, GitHub
9:58 BUILD 3: The agent that runs it all
10:20 Setting up your always-on analyst
11:52 The agent that grades itself
12:12 Your daily report, built automatically
12:45 The whole one person business
13:01 Claim your credits

━━━━━━━━━━━━━━━━━━━━━━

❓ QUESTIONS PEOPLE ASK

Do I need to know coding to build an AI agent?
No. Every build in this video is no code. Nothing gets installed and nothing runs
locally.

What is an AI agent, in simple terms?
A normal AI answers one question and forgets you. An agent is set up once, keeps
your context, and keeps working on its own without being prompted again.

Is Hyperagent free?
No, it's a paid tool. The first 500 people through the link get $500 in credits,
which covers everything built in this video.

Can I sell AI agents I build?
People are charging a couple thousand dollars for builds like these. The video
shows exactly what goes into one.

━━━━━━━━━━━━━━━━━━━━━━

#AIAgents #NoCodeAI #AIAutomation #AITutorial #Hyperagent

--------

To Know More,
Follow Vaibhav Sisinty On ⤵︎

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MIT Introduction to Deep Learning 6.S191: Lecture 3
Convolutional Neural Networks for Computer Vision
Lecturer: Alexander Amini
** New 2025 Edition **

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

🌟 Build Your Command Center in Notion - https://www.pressplay.cc/link/s/F8236D6B

Create your first AI agent in three simple steps using n8n! This tutorial shows you how to create an automated subscription tracker that processes natural language input and updates Google Sheets automatically.

You'll learn to configure the agent's brain (chat model and memory), connect tools like Google Sheets, and write system prompts that control agent behavior. Perfect for non-technical users ready to transition from using AI tools to actually building with them.

*TIMESTAMPS*
00:00 Build Your First AI Agent
00:29 Refresher on AI Agents
01:20 Getting Started on n8n
02:54 Why Bother?
03:32 Step 1: Building the Brain
08:21 Step 2: Connecting the Tools
10:38 Step 3: Activating the Brainstem
12:21 Testing our AI Agent
14:56 Beyond the Basics

*RESOURCES MENTIONED*
OpenAI API Setup: https://platform.openai.com/
ChatGPT System Prompt Template: https://www.jeffsu.org/build-y....our-first-ai-agent-i
Notion Command Center System: https://www.pressplay.cc/link/s/F8236D6B

*BUILD A POWERFUL WORKFLOW*
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*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
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This Video on Artificial Intelligence Full Course is a complete tutorial to understanding AI concepts, tools, and applications. It begins with what Artificial Intelligence is, the future of AI, and the AI engineer roadmap to help learners build their careers. You’ll explore AI careers, essential AI projects, and generative AI (Gen AI), including hands-on Gen AI projects. The course provides practical insights into how to get a job in AI and covers key topics such as machine learning (ML), AI bias, and deep learning, along with the differences between AI, ML, and DL. Advanced concepts like ML algorithms, reinforcement learning, Q-learning, and transformers in AI are also explained. You’ll learn about running Llama privately, prompt engineering, and LLM benchmarking, with an overview of multimodal AI and tools like LangChain and Cursor AI. Practical sessions include data analytics using AI, building websites with AI, creating and selling digital products using AI, and exploring tools like Notion for beginners and Gen AI tools for job interviews. Finally, topics like confusion matrix in ML, recurrent neural networks, and practical AI applications ensure you gain both theoretical knowledge and real-world skills to excel in AI.

Following are the topics covered in this AI Full Course For Beginners:

00:00:00 Introduction to Artificial Intelligence Full Course
00:08:08 What is Artificial Intelligence
00:17:14 Future of AI
00:18:34 AI Engineer Roadmap
00:33:15 AI Carrers
00:46:34 AI Projects
00:47:19 What is Gen AI
01:05:37 Gen AI Projects
01:12:43 How to get Job in AI
02:09:20 What is ML
02:15:01 AI Bias
02:20:43 Open AI Strawberry
02:27:42 Deep Learning
02:33:53 Difference between AI ML and DL
02:46:11 Machine learning algorithms
03:03:56 ML Projects for Beginners
03:05:03 Run Lama Privately
03:13:47 Introduction to LLM
03:23:34 What is Prompt Engineering
03:32:27 LLM Benchmarkeing
03:38:04 Mutimodel AI
03:57:55 CHatgpt analyse
07:15:52 Reinforcement Learning
07:16:42 Q Learning
07:39:25 Transformers in AI
07:47:01 Langchain Explained
08:18:41 Data Analytics using AI
10:22:56 Recurrent Neural Network
10:48:37 Build Website with AI
11:00:31 Create and sell digital products using AI

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✅ Simplilearn's Job Assist helps you get noticed by top hiring companies

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A light intro to LLMs, chatbots, pretraining, and transformers.
Dig deeper here: https://www.youtube.com/playli....st?list=PLZHQObOWTQD
Technical details as a talk: https://youtu.be/KJtZARuO3JY
This was made for an exhibit at the Computer History Museum: https://computerhistory.org/
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support

No secret end-screen vlog for this one, the end-screen real estate was all full!

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These animations are largely made using a custom Python library, manim. See the FAQ comments here:
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https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/

All code for specific videos is visible here:
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The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5

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3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.

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Summary:
AI Agents seem overwhelming, but in 2026, we've gotten to the point that any non-technical person can create and manage their own AI agents to accomplish tasks. I cover everything simply: what an agent actually is, what to automate, how to start, and build two agents step by step using two of the leading platforms. Then dive into common pitfalls and how to avoid them. This is everything you need to get started with building AI agents in 2026, no coding required.

Chapters
0:00 Intro
0:50 What is an agent?
1:37 Where we're at right now
2:08 What to automate first
4:58 How to start
7:01 Time to build
7:24 Build 1
14:04 Build 2
20:43 More complex agents
22:03 Zapier vs n8n
22:40 Common Pitfalls (and how to avoid them)
24:44 The real skill

The world is entering a new era of warfare, with cyber and autonomous weapons taking center stage. These technologies are making militaries faster, smarter, more efficient. But if unchecked, they threaten to destabilize the world.
DW takes a deep dive into the future of conflict, uncovering an even more volatile world. Where a cyber intrusion against a nuclear early warning system can unleash a terrifying spiral of escalation; where “flash wars” can erupt from autonomous weapons interacting so fast that no human could keep up.
Germany’s Foreign Minister Heiko Maas tells DW that we have already entered the technological arms race that is propelling us towards this future. “We’re right in the middle of it. That’s the reality we have to deal with.”
And yet the world is failing to meet the challenge. Talks on controlling autonomous weapons have repeatedly been stalled by major powers seeking to carve out their own advantage. And cyber conflict has become not just a fear of the future but a permanent state of affairs.
DW finds out what must happen to steer the world in a safer direction, with leading voices from the fields of politics, diplomacy, intelligence, academia, and activism speaking out.

Chapters
00:00 - Introduction
02:37 - The Cyber Nuclear Nightmare
17:05 - Flash Wars And Autonomous Weapons
30:12 - Trading Markets And Flash Crashes
31:45 - Time To Act

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This Decision Tree in the Machine Learning tutorial will help you understand all the basics of the Decision Tree and how the Decision Tree algorithm works. In the end, we will implement a Decision Tree algorithm in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.

Below topics are covered in this Decision Tree Algorithm Tutorial:
0. Intro (0:00)
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is a Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )

Dataset Link - https://drive.google.com/drive..../folders/1JybOOdRsMY

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What is a Decision Tree Algorithm?
A Decision Tree is a supervised machine learning algorithm for solving classification problems. Generally, a decision tree is drawn upside down with its root at the top and it is known as the Top-Down Approach. Decision trees are used for handling non-linear data sets effectively. The decision tree tool is used in real life in many areas, such as engineering, civil planning, law, and business.

➡️ 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.

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- Post Graduate Program certificate and Alumni Association membership
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- Simplilearn's JobAssist helps you get noticed by top hiring companies
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Learn how to fine tuning LLM models. This course will teach you fine tuning using using QLORA and LORA, as well as Quantization using LLama2, Gradient and the Google Gemma model. This crash course includes both theoretical and practical instruction to help you understand how to perform fine tuning.

💻 Code: https://github.com/krishnaik06/Finetuning-LLM

✏️ Course developed by @krishnaik06

⌨️ (0:00:00) Introduction
⌨️ (0:01:39) Quantization Intuition
⌨️ (0:34:03) Lora And QLORA Indepth Intuition
⌨️ (0:56:26) Finetuning With LLama2
⌨️ (1:20:35) 1 bit LLM Indepth Intuition
⌨️ (1:37:33) Finetuning with Google Gemma Models
⌨️ (1:59:45) Building LLm Pipelines With No code
⌨️ (2:20:33) Fine tuning With Own Custom Data

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These harmonies never fail to give us the chills. Welcome to MsMojo, and today we’re counting down our picks for the most epic, emotionally fulfilling instances of harmony in music. Our countdown includes “California Dreamin,’” “The Sound of Silence,” “Be My Baby,” and more! Which song gives YOU the chills? Let us know in the comments!

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