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This Artificial Intelligence tutorial video will help you understand what is Artificial Intelligence, the types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not.

The topics covered in this Artificial Intelligence Tutorial are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case - Predicting if a person has diabetes or not

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To learn more about Artificial Intelligence, subscribe to our YouTube channel: youtube.com/c/SimplilearnOfficial

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You can also go through the slides here: https://goo.gl/ApsL6g

#ArtificialIntelligence #AI #WhatIsArtificialIntelligence #WhyArtificialIntelligence #AIIn10Minutes #MachineLearning #DeepLearning #Simplilearn

What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing.

We've partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here - https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=Aritificial-Intelligence-Tutorial-FWOZmmIUqHg&utm_medium=Tutorials&utm_source=youtube

Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.

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.

You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:


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

Generative AI refers to artificial intelligence algorithms that enable using existing content like text, audio files, or images to create new plausible content. In other words, it allows computers to abstract the underlying pattern related to the input, and then use that to generate similar content. The video explains how Generative AI can be used for distinct purposes.

For More Information Visit: https://www.analyticsinsight.net/

#AnalyticsInsight

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In this DevOps Course video, you will learn What is DevOps, How DevOps Works, the Importance of DevOps, Why do we need DevOps, What is GIT, GIT is Architecture, DevOps Tools like Puppet, Nagios, Jenkins, Terraform, Ansible, and a lot more. In this DevOps Full Course video, you will also get an overview of How to Start Your Career in DevOps. We also have a special segment where we are also discussing DevOps Interview Questions and Answers which will help you ace your interviews.

👇👇The following are covered in this video:
00:00:00 - Introduction to DevOps Course
00:01:21 - Why DevOps?
00:11:21 - How DevOps works?
00:23:12 - DevOps Tools
00:30:14 - Introduction to GIT
00:32:15 - Common GIT commands
01:20:20 - Problems before Docker
01:27:18 - What is Docker?
01:33:12 - Docker vs Virtual Machine
01:40:27 - Docker Container Lifecycle
01:43:21 - Common Docker Operations
01:57:45 - Creating a Docker Hub Account
02:19:26 - What is DockerFile?
02:55:57 - What is a Monolithic Application?
03:01:17 - What are Microservices?
03:06:59 - What is Docker Compose?
03:29:26 - What is a Service?
03:36:52 - What is Kubernetes?
04:09:55 - YAML Files
04:42:28 - What is Puppet?
05:32:46 - What is Ansible?
09:15:59 - Introduction to the world of SDLC
09:24:40 - DevOps vs Agile
09:42:11 - How to Become a DevOps Engineer & Interview Questions
10:04:45 - Virtualization and Containerization

👉In this DevOps Course video, you will learn everything about DevOps from basic to advance level. This video includes an introduction to DevOps, DevOps tools, DevOps git, DevOps docker, Kubernetes tutorial, DevOps project, Ansible tutorial for beginners & DevOps Jenkins with the complete hands-on explanation. This is a must-watch session for everyone who wishes to learn DevOps and make a career in the cloud domain.
#DevOpsCourse #DevOpsTraining #DevOpsTools #DevopsFullCourse #LearnDevOps #DevOpsForBeginners #Intellipaat

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📕Read the complete DevOps tutorial here: https://intellipaat.com/blog/t....utorial/devops-tutor

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If you’ve enjoyed this DevOps Full course video, Like us and Subscribe to our channel for a more similar informative video.
Got any questions about DevOps Tools? Ask in the comment section below.
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This Support Vector Machine (SVM) tutorial video will help you understand the basics of the Support Vector Machine algorithm, where and when to use the SVM algorithm, and how Support Vector Machine works. You will learn about hyperplanes and support vectors, how distance margin helps in optimizing the hyperplane, kernel functions in SVM for data transformation and advantages of the SVM algorithm.

Below topics are explained in this Support Vector Machine Tutorial:
00:00 - 01:03 Applications and Agenda
01:04 - 01:58 What is Machine Learning?
01:58 - 03:39 Why support vector machine?
03:39 - 07:59 What is a support vector machine?
07:59 - 09:15 Advantages of support vector machine
09:15 - 26:42 Use Case in Python


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#SupportVectorMachine #SVMMachineLearning #SupportVectorMachineInMachineLearning #SVM #SVMAlgorithmInMachineLearning #SupportVectorMachines #SVMAlgorithm #MachineLearningTutorial #MachineLearning #Simplilearn

What is a Support Vector Machine?
Support Vector Machines are powerful supervised learning algorithms for both classification and regression. It is a discriminative classifier that is formally defined by a separating hyperplane. So given labelled training data, the algorithm outputs an optimal hyperplane that categorizes new examples.

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In this live session we'll read and discuss two papers:
The illusion of thinking - by Apple
The illusion of the illusion of thinking - by Anthropic
Come join for a fun chat!

This video introduces the syllabus and organization of the "Introduction to Deep Learning and Generative Modeling" course.

Link to the slides: https://sebastianraschka.com/p....df/lecture-notes/sta

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This video is part of my Introduction of Deep Learning course.

Next video: https://youtu.be/6VbtJ9nn5ng

The complete playlist: https://www.youtube.com/playli....st?list=PLTKMiZHVd_2

A handy overview page with links to the materials: https://sebastianraschka.com/b....log/2021/dl-course.h

-------

If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka

Welcome to the first video in my Deep Learning With Pytorch playlist!

In this video I'll talk a little bit about what a Neural Network is, and give you a little bit of background history on Pytorch vs. Tensorflow.

Then we'll set up a development environment using Google Colab, and create a first notebook and push it to a Github repository.

#pytorch #codemy #JohnElder

Timecodes

0:00​​ - Introduction
1:12 - Pytorch vs. Tensorflow
2:32 - What is a Neural Network?
4:10 - How Much Math Do You Need?
7:14 - Pytorch Documentation
7:37 - Development Environment Google Colab
9:09 - Use GPU Runtime
10:24 - Check Latest Version of Pytorch
12:04 - Set Up Github Repository
13:36 - Authorize Colab In Github
14:35 - Push Notebook To Github
16:09 - Conclusion

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By 2030, the biggest wave of new jobs isn't going to reward people who can chat with AI. It's going to reward people who can build with it.

Right now most people are still typing prompts one at a time, while a small group is quietly building AI agents that run their businesses in the background.

In this video, I show you exactly how I went from doing the work to directing it, and how you can build your first AI agent this week even if you've never touched code.

Watch until the end and you'll walk away with a repeatable way to think about every future agent you build.

Prompts from the video:

Identity files prompt:
"I want to build an AI agent that runs my inbox [your AIM from previous Step]. Create its three identity files: a SOUL file, an IDENTITY file, and a USER file (about me). Ask me any questions you need to fill these in accurately, then write all three."

Manager agent prompt:
"You are my Manager agent. You never do any task yourself. When a job comes in, your only move is to spin up a dedicated sub-agent for that one job, hand it the task, and let it run. One agent, one lane. If a job touches on multiple areas, split it into separate sub-agents, one per area. You coordinate and report back to me."

Specialist agent prompt:
"Your one job is my inbox — nothing else. You never step outside the inbox."

Email voice study prompt:
"Connect to my email and read my last 50 sent messages. Study how I actually write — my tone, my greetings and sign-offs, how long my sentences are, the phrases I use the most. Then write a style guide that captures my voice and tone. To test it: draft a reply to my newest unread email as me, and I'll tell you what's off so you can tighten it."


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In this video, I break down a complete AI automation full course for beginners in 2026, explaining what is AI automation and how it works. You’ll learn the fundamentals in this practical AI automation tutorial, including how AI agents fit into modern automation workflows and exactly how to get started with AI automation. Whether you're looking for a step-by-step AI automation guide or want to master AI automation for beginners, this covers everything you need to get started.

00:00 - Intro: Stop Wasting Time on Repetitive Work
00:33 - Building Your First AI Automation Agent Step by Step
01:31 - Free Base44 AI Agent Masterclass
01:55 - Chatbots vs AI Agents: The Key Difference
04:09 - Build 1: Automated Email Management Agent
06:49 - Giving Your AI Agent Custom Business Knowledge
09:41 - Build 2: Instant Lead Follow-Up Agent
10:33 - Connecting Google Sheets for Lead Data
12:22 - Build 3: Weekly Sales Reporting Agent
13:52 - Sending Automated AI Reports to Telegram
15:06 - Why Traditional Automation Builders Fail Beginners
16:40 - Integrations: Connecting Gmail, Calendar & Analytics
18:50 - Build 4: Personal AI Travel Planning Agent
20:09 - Build 5: Automated Customer Support Agent
23:22 - Advanced Features: Adding Memory to AI Agents
25:05 - Adding Conditional Logic & Decision-Making
27:09 - Conclusion: Scaling Your Automation Workflows

For inquiries: Mikey (at) ytmedia.group

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Two years ago, I taught myself how to build no-code AI automations with zero technical background. Today, I’ve built multiple AI businesses, generated over $5M in revenue and helped companies, from startups to NBA teams, integrate powerful AI systems. In only 100 minutes, I break down what AI Automations are, how they work and the most popular tools to develop them. You'll find some of the most sold use cases like AI lead qualifiers, voice agents, and proposal generators. This is the exact course I wish existed when I started.

Timestamps:
0:00 - Introduction
2:26 - Why Learn AI Automation?
4:49 - What is AI Automation?
9:21 - The AI Automation Landscape
12:10 - Anatomy of an Automation
15:48 - Exploring the Ecosystem
19:01 - Foundations Recap
23:45 - What We're Building
29:00 - Build #1
51:34 - Build #2
1:22:09 - Build #3
1:30:36 - Troubleshooting & Tips
1:36:55 - How to Sell AI Automations

Kaggle notebook with all the code: https://www.kaggle.com/wwsalmo....n/simple-mnist-nn-fr

Blog article with more/clearer math explanation: https://www.samsonzhang.com/20....20/11/24/understandi

▶Color graded with: https://bit.ly/3MTAeKf
▶Drone used: https://bit.ly/3kXi25Y

DJI Mini 3 Pro now shoots 4K60 in 10bit D-CineLike and in this video I wanted to try it's capabilities and push it to its limits when it comes to Color Grading. I used my Luts to color grade every single clip in this video (https://bit.ly/3MTAeKf) that were all shot in 4K 10bit D-CineLike.
I wish I had the ability to shoot 10bit videos back when I made the launch video for the DJI Mini 3 in May ;) as having such an amazing image quality in a 249g drone that easily fits in your pocket is just a game changer.
What do you all think about the video quality of the DJI Mini 3 Pro ?

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐚𝐧𝐝 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/program....ming-and-frameworks-
This Edureka video on Programming For Beginners will help you to Learn Programming basics with examples. This Programming for beginner video covers all the topics for all the three categories of learners - beginner, intermediate and experienced professionals.

Below are the programming languages covered in this Programming Full course video:

00:00:00 Introduction
00:01:30 Agenda
00:02:44 Pyhton Basics
00:04:27 Why use python?
00:25:09 Comparision Operators
00:43:16 range
00:48:26 Counter
00:55:20 Defaultdict
00:58:47 When to use Sets in python
01:01:23 Python set operations
01:12:35 What is an Array ?
01:14:19 How to create arrays in python
01:31:34 Slicing an array
01:34:09 Looping through an Array
01:37:36 Classes and objects in python
01:42:47 Python Classes
02:04:20 Java
02:10:00 Variables in /java
02:31:56 Operator in java
02:46:36 Loops in Java
02:59:32 Object Oriented Programming (OOPS)
03:03:51 OOPS Concept
03:27:13 OOPS Characteristics
03:34:54 Exception in java
03:46:07Exception Handling Methods
03:54:44 History of C
03:55:36 Features of C Language
04:00:46 Keywords
04:03:22 Strings
04:05:05 Identifiers
04:06:49 Rules for Identifier
04:09:46 Operators
04:14:34 Datatypes
04:16:18 Local Variable
04:21:28 PreProcessor Directives
04:27:31 Control Statement
04:45:37 Loops
04:55:58 Pointers
05:00:17 Functions
05:04:36 Rules for using Functions
05:06:19 How to use Functions
05:08:03 Data Structure
05:10:38 One-Dimensional Array
05:14:05 Lists
05:27:53 I+Undirected Graphs
05:31:20 Files
05:35:39 Strings
05:39:58 Structure
05:41:41 Union
05:43:25 Structure v/s Union
05:44:16 Memory allocations
05:48:35 Sorting algorithm
05:53:45 Insertion Algorithm
05:58:56 SelectionAlgorithm
06:01:31 Selection Algorithm
06:04:06 Features of C++ Language
06:04:58 Installation of C++ in windows
06:07:33 Structure of C++ Program
06:10:09 Identifers
06:11:52 Keywords
06:15:19 Arrays
06:22:13 Lists
06:36:01 Functions
06:42:55 Structure
06:43:47 Enumeration
06:47:14 Variable types
06:52:24 Modifiers
06:53:16 Type of Qualifiers
06:54:00 Types of operators
06:56:00 Control Statement
07:06:12 Loops
07:10:31 Features of OOPS
07:12:15 Encapsulation
07:20:00 Interface
07:21:44 Constructor
07:22:36 Destructor
07:28:38 Deallocation
07:30:21 Multithreading
07:33:48 Interview Questions
09:29:23 What is Javascript
09:33:42 Benefits of Javascript
10:18:31 Loops in Javascript
10:39:14 Javascript Array
10:41:50 Javascript Array Methods
11:03:23 Why Learn coding



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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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