Learn about Stanford's online artificial intelligence professional and graduate programs:
https://stanford.io/3CDAIOV

Stanford Online Graduate and Professional AI programs provide the foundational and advanced skills you need to accelerate your career in AI, including machine learning, reinforcement learning, neural networks, and natural language processing and understanding. Learn about the differences between the programs in this video.

#artificialintelligence #machinelearning #deeplearning #reinforcementlearning #neuralnetworks #naturallanguageprocessing

Check out the latest (and most visual) video on this topic! The Celestial Mechanics of Attention Mechanisms: https://www.youtube.com/watch?v=RFdb2rKAqFw

This is the second of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.

Video 1: The attention mechanism in high level https://youtu.be/OxCpWwDCDFQ
Video 2: The attention mechanism with math (this one)
Video 3: Transformer models https://www.youtube.com/watch?v=qaWMOYf4ri8

If you like this material, check out LLM University from Cohere!
https://llm.university

00:00 Introduction
01:18 Recap: Embeddings and Context
04:46 Similarity
11:09 Attention
20:46 The Keys and Queries Matrices
25:02 The Values Matrix
28:41 Self and Multi-head attention
33:54: Conclusion

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This video, titled "What is RPA?" gives a basic overview of RPA and its ideas. We learn about what RPA is, why it is being widely used across industries, how it works, the results of using RPA, and finally, its growth estimates over the last few years. So, let's jump right in.
0:00 - Start
0:50 - What is RPA?
1:51 - Working of RPA
2:46 - Advantages of RPA
3:29 - Applications of RPA
3:42 - Future of RPA
4:23 - Quiz


Don't forget to take the quiz at 04:24! Comment below what you think is the right answer, to be one of the 3 lucky winners who can win Amazon vouchers worth INR 500 or $10! (Depending on your location). What are you waiting for? Winners will be announced on May 27th, 2020.

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#RPA #RoboticProcessAutomation #RPADeveloper #WhatIsRPA? #RPAExplained #RPATutorialForBeginners #Simplilearn #WorkingofRPA #RPAtools #RPAApplications

What is RPA?
Robotic Process Automation (RPA) is the use of software with Artificial Intelligence and Machine Learning capabilities to handle high-volume, repetitive tasks that previously required humans to perform. Some of these tasks include addressing queries, making calculations, maintenance of records, and performing transactions.

If you want to expand your expertise in advanced intelligent applications, then this Introduction to Robotic Process Automation (RPA) course will put you on the fast track. RPA is one of the hottest and fastest-growing technologies for improving real-time business operations and processes. This course will give you an overview of RPA concepts, the value-add it brings with relevant business use cases and tools understanding.

What are the benefits of this course?
Robotic Process Automation (RPA) is an advanced technology that automates huge quantities of redundant tasks by applying artificial intelligence (AI). RPA can be used for processing transactions, manipulating data, triggering responses and communicating with other digital systems. RPA has applications in a plethora of industries including insurance claims processing, invoice processing, customer feedback analysis, onboarding of employees, HR operations, and much more. More on the RPA market:
- The global market for RPA software and services is expected to grow to $1.2 billion by 2021 at a compound annual growth rate of 36 per cent.
- One wine producer increased its order accuracy from 98% to 99.7% while reducing costs There are 3000+ RPA job postings in India and the US.

What are the course objectives?
The primary objective of this Introduction to RPA training course is to give you a glimpse into the bright and exciting future of Robotic Process Automation and to give you an overview of the fundamental methodologies and tools that will help you employ RPA on the job. You’ll learn the key RPA tools and workflows used in intelligent automation, steps for implementing RPA in your enterprise and case studies that will provide innovative best practices.

Upon successful completion of our Introduction to Robotics Process Automation online training course, you will gain a fair understanding of RPA and related business applications. By the end of the course, you will be able to understand-
1. RPA and it's business applications
2. The impact that RPA creates with significant ROI
3. Various tools available in the market and their right fit
4. Organization and management of a real-life workflow automation project

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Simplilearn’s Introduction to Robotic Process Automation course is best suited for:
1. CXOs
2. Team Leads
3. Business Analysts
4. Solution Architects

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A complete guide to the mathematics behind neural networks and backpropagation.

In this lecture, I aim to explain the mathematical phenomena, a combination of linear algebra and optimization, that underlie the most important algorithm in data science today: the feed forward neural network.

Through a plethora of examples, geometrical intuitions, and not-too-tedious proofs, I will guide you from understanding how backpropagation works in single neurons to entire networks, and why we need backpropagation anyways.

It's a long lecture, so I encourage you to segment out your learning time - get a notebook and take some notes, and see if you can prove the theorems yourself.

As for me: I'm Adam Dhalla, a high school student from Vancouver, BC. I'm interested in how we can use algorithms from computer science to gain intuition about natural systems and environments.

My website: adamdhalla.com
I write here a lot: adamdhalla.medium.com
Contact me: [email protected]

Two good sources I recommend to supplement this lecture:

Terence Parr and Jeremy Howard's The Matrix Calculus You Need for Deep Learning: https://arxiv.org/abs/1802.01528

Michael Nielsen's Online Book Neural Networks and Deep Learning, specifically the chapter on backpropagation http://neuralnetworksanddeeple....arning.com/chap2.htm

ERRATA----
I'm pretty sure the Jacobians part plays twice - skip it when you feel like stuff is repeating, and stop when you get to the part about the "Scalar Chain Rule" (00:24:00).

And, here are the timestamps for each chapter mentioned in the syllabus present at the beginning of the course.

PART I - Introduction
--------------------------------------------------------------
00:00:52 1.1 Prerequisites
00:02:47 1.2 Agenda
00:04:59 1.3 Notation
00:07:00 1.4 Big Picture
00:10:34 1.5 Matrix Calculus Review
00:10:34 1.5.1 Gradients
00:14:10 1.5.2 Jacobians
00:24:00 1.5.3 New Way of Seeing the Scalar Chain Rule
00:27:12 1.5.4 Jacobian Chain Rule

PART II - Forward Propagation
--------------------------------------------------------------
00:37:21 2.1 The Neuron Function
00:44:36 2.2 Weight and Bias Indexing
00:50:57 2.3 A Layer of Neurons

PART III - Derivatives of Neural Networks and Gradient Descent
--------------------------------------------------------------
01:10:36 3.1 Motivation & Cost Function
01:15:17 3.2 Differentiating a Neuron's Operations
01:15:20 3.2.1 Derivative of a Binary Elementwise Function
01:31:50 3.2.2 Derivative of a Hadamard Product
01:37:20 3.2.3 Derivative of a Scalar Expansion
01:47:47 3.2.4 Derivative of a Sum
01:54:44 3.3 Derivative of a Neuron's Activation
02:10:37 3.4 Derivative of the Cost for a Simple Network (w.r.t weights)
02:33:14 3.5 Understanding the Derivative of the Cost (w.r.t weights)
02:45:38 3.6 Differentiating w.r.t the Bias
02:56:54 3.7 Gradient Descent Intuition
03:08:55 3.8 Gradient Descent Algorithm and SGD
03:25:02 3.9 Finding Derivatives of an Entire Layer (and why it doesn't work well)

PART IV - Backpropagation
--------------------------------------------------------------
03:32:47 4.1 The Error of a Node
03:39:09 4.2 The Four Equations of Backpropagation
03:39:12 4.2.1 Equation 1: The Error of the last Layer
03:46:41 4.2.2 Equation 2: The Error of any layer
04:03:23 4.2.3 Equation 3: The Derivative of the Cost w.r.t any bias
04:10:55 4.2.4 Equation 4: The Derivative of the Cost w.r.t any weight
04:18:25 4.2.5 Vectorizing Equation 4
04:35:24 4.3 Tying Part III and Part IV together
04:44:18 4.4 The Backpropagation Algorithm
04:58:03 4.5 Looking Forward

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This *Machine Learning Full Course* is a comprehensive program that provides learners with the skills and expertise required to excel in machine learning. In this course, we will gain proficiency in programming languages like Python and libraries such as TensorFlow and PyTorch. Through a combination of theory and hands-on practice, explore key concepts such as supervised and unsupervised learning, neural networks, and model optimization.

00:00:00 Introduction
00:01:45 What is Machine learning?
00:18:19 Types of Machine Learning Models
00:25:54 Mathematics for Machine Learning
02:08:35 Machine Learning Algo
02:30:28 How to select the correct predictive modeling techniques?
02:42:37 Linear Regression Algorithm
02:50:02 Logistic Regression Algorithm
03:37:12 Linear Regression Vs Logistic Regression
03:40:42 Decision Tree Algorithm
04:26:16 Random Forest
04:51:31 KNN Algorithm
05:23:54 Naive Bayes Classifier
05:45:36 Support Vector Machine
06:11:07 K- Means Clustering Algorithm
06:34:26 Hierarchical Clustering
06:40:48 Apriori Algorithm Explained
06:58:18 Introduction to TensorFlow
07:21:54 Azure Machine Learning
07:48:13 AWS Machine Learning
08:28:41 Top Machine Learning Tools & Frameworks
08:38:37 MLOps for Beginners
08:51:04 How to Become a Machine Learning Engineer?
09:00:34 Machine learning Engineer Skills
09:08:43 Machine Learning Roadmap
09:18:34 Machine Learning Tips
09:25:14 Machine Learning Interview Question & Answers

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🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Mathematics for Machine Learning' teaches you all the math needed to get started with mastering Machine Learning. It teaches you all the necessary topics and concepts of Linear Algebra, Multivariate Calculus, Statistics, and Probability and also dives into the actual implementation of these topics.

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#edureka #machinelearningedureka #MathematicsforMachineLearning #MachineLearning #MachineLearningTraining #learnMachineLearning #withme

About the Course :

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience.
--------------------------------------
Why Learn Machine Learning with Python?

Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
--------------------------------------------
Who should go for this Course?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
--------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).

This short video on AWS will cover the basics of AWS in just 10 minutes. Watch complete AWS Tutorial For Beginners to learn more!
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This AWS tutorial video(Amazon web services) is designed to help you in understanding about AWS(Amazon web services) architectural principles and services - in just 10 minutes. You will learn how cloud computing is redefining the rules of IT infrastructure architecture, as well as how to design, plan, and scale your AWS Cloud implementation with best practices recommended by Amazon. This tutorial is ideal for beginners to learn what is AWS(Amazon web services) all about.

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-( 01:38 ) Why AWS(Amazon web services) is such a hit?
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-( 06:04 ) AWS Pricing(Amazon web services pricing)
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Tracklist:
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1:08:08 10 Michelle Ray, lost., Pop Mage - Apologize
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1:18:43 Zelli King, lost., Pop Mage - Love Is Gone
1:21:40

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contact me: https://t.me/locxiaolin
SunSet Mood © Magic Music Group LLC 2022. We own rights to all content uploaded. Any reproduction of this content will result in a Content ID claim.
Usage Policy: https://magicmusicllc.com/

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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his lecture about support vector machines, including soft margin optimization and kernels.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

LangChain is a framework for developing applications powered by large language models (LLMs).
code github: https://github.com/krishnaik06/Updated-Langchain

LangChain simplifies every stage of the LLM application lifecycle:
Development: Build your applications using LangChain's open-source building blocks and components. Hit the ground running using third-party integrations and Templates.
Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
Deployment: Turn any chain into an API with LangServe.

Timestamp

00:00:00 Introduction
00:00:46 Introduction To Langchain Ecosystem
00:09:09 Chatbot application Usinjg Langchain
00:35:36 Chain As Api For Deployment
01:02:16 Complete Basic Rag Pipeline
01:32:07 Advanced Rag Pipeline
01:51:34 Advanced RAG Pipeline With Multiple Data Source
02:16:10 End To End LAngchain Project USing Groq Inference Engine
02:44:07 Hugging Face With Langchain

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Support me by joining membership so that I can upload these kind of videos
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Fresh Langchain Playlist: https://www.youtube.com/watch?v=KmQOlg5YfU0&list=PLZoTAELRMXVOQPRG7VAuHL--y97opD5GQ
►LLM Fine Tuning Playlist: https://www.youtube.com/watch?v=Vg3dS-NLUT4&list=PLZoTAELRMXVN9VbAx5I2VvloTtYmlApe3
►AWS Bedrock Playlist: https://www.youtube.com/watch?v=2maPaQutcWs&list=PLZoTAELRMXVP8-wzKPtrRST3jNCprvMZj
►Llamindex Playlist: https://www.youtube.com/watch?v=1eym7BTnuNg&list=PLZoTAELRMXVNOWh1SDXt5NFujQMOt-CWy

►Google Gemini Playlist: https://www.youtube.com/watch?v=it0l6lx3qI0&list=PLZoTAELRMXVNbDmGZlcgCA3a8mRQp5axb&pp=gAQBiAQB
►Langchain Playlist: https://www.youtube.com/watch?v=4O1rs7mrNDo&list=PLZoTAELRMXVORE4VF7WQ_fAl0L1Gljtar&pp=gAQBiAQB
►Data Science Projects:
https://www.youtube.com/watch?v=S_F_c9e2bz4&list=PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG&pp=iAQB

►Learn In One Tutorials

Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz

End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's

Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n

Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n

►Learn In a Week Playlist

Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

NLP : https://www.youtube.com/watch?v=w3coRFpyddQ&list=PLZoTAELRMXVNNrHSKv36Lr3_156yCo6Nn
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Building a research multi agent system → https://goo.gle/41TYswp
Agent starter pack → https://goo.gle/4iZiz35
Human-in-the-Loop LangGraph app → https://goo.gle/4iyii7h

What is agentic AI and how can developers apply agentic AI in their applications? Welcome back to season 2 of Real Terms for AI with Googlers Aja Hammerly and Jason Davenport. In this video, Aja and Jason discuss agentic workflows, how agents are different from workflows, and when to use an agentic workflow. Follow along with code snippets in the Github link and help implement these concepts in many use cases.

Chapters:
0:00 - Intro
0:43 - What does agentic mean?
2:08 - Agentic workflow examples
3:28 - When to use agentic workflow or AI agent
4:33 - Wrap up

Watch more Real Terms for AI → https://goo.gle/AIwordsExplained
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech

#GoogleCloud #GenerativeAI

Speakers: Aja Hammerly, Jason Davenport
Products Mentioned: Gemini, Gemma

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Cloud computing is a popular practice involving the internet to store and manage your data on the internet. In this video on cloud computing, we'll take you through all of the basic concepts of cloud computing like what makes it unique, its different models, and more. So without further ado, let's jump right into cloud computing.

Don't forget to take the quiz at 05:03!

The following topics are covered in the video:
1) Differences between on-premises and cloud
2) What is cloud computing?
3) Cloud computing: Deployment Model
4) Cloud Computing: Service Model

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⏩ Check out the AWS training videos: https://bit.ly/2LtnprE

✅ About Post Graduate Program In Cloud Computing

This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

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- A bachelor's degree with an average of 50% or higher marks
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In this video on What Is Agile, we'll cover every concept you need to know to understand Agile.
In this video, we'll be covering concepts like:
00:00 Introduction
03:52 The Waterfall Model
07:05 What is Agile?
13:03 Agile Principles
22:24 What are the Advantages of Agile?
26: 25 Agile Methodologies
Without further ado, let's jump in and learn about Agile.

🔥Free ASM Course: https://www.simplilearn.com/agile-scrum-master-basics-skillup?utm_campaign=WhatisAgile-wmJfx7zAfQI&utm_medium=Description&utm_source=youtube

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

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

⏩ Check out the Agile Scrum training videos: https://bit.ly/3f9kzF3

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➡️ Certified ScrumMaster® (CSM) Certification Training Course
This CSM certification course is focused on providing an improved understanding of Scrum methodologies and their implementation. It helps you become a Certified ScrumMaster®, a designation offered by Scrum Alliance to practitioners who have successfully completed a CSM certification course & demonstrate their understanding by passing the exam.

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- 2 Days of Online Virtual Class
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- Complimentary access to 15 courses* worth INR 25,000

✅ Skills Covered
- Scrum and Agile methodologies
- Importance of Agile
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- Distributed Scrum

👉Learn More at: https://www.simplilearn.com/agile-and-scrum/csm-certification-training?utm_campaign=WhatisAgile-wmJfx7zAfQI&utm_medium=Descriptionff&utm_source=youtube

For more information about Simplilearn courses, visit:
- Facebook: https://www.facebook.com/Simplilearn
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Get the Android app: http://bit.ly/1WlVo4u
Get the iOS app: http://apple.co/1HIO5J0

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

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Накануне демонстрации первого реального снимка чёрной дыры на канале Veritasium вышло видео о том, что мы можем на нём увидеть. С теми изображениями, которые уже получены, более или менее всё понятно, но как бы выглядела чёрная дыра, будь у нас другой угол обзора, и почему? Ответы ищите в ролике.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Кирилл Циберкин
Озвучка: Вадим Казанцев
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*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️
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This Digital Marketing tutorial video will help you learn why Digital Marketing is important, what is Digital Marketing, what are the different types of Digital Marketing and customer lifecycle in Digital Marketing. Digital marketing is the act of promoting products or services with the help of digital devices or technology. In digital marketing, marketers can promote their campaigns on search engines, social media platforms, emails, mobile apps, etc. Now let's get started and learn digital marketing in details on how can someone use these channels to promote their products.

Below are the topics we will be discussing in the video:
Intro 00:00
1. Why is Digital Marketing important? 00:18
2. What is Digital Marketing? 06:25
3. Types of Digital Marketing 07:58
4. Customer lifecycle in Digital Marketing 19:50

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi

📚 For a more detailed understanding on Digital Marketing, do visit: https://www.simplilearn.com/what-is-digital-marketing-article?&utm_medium=Description&utm_source=youtube

You will find in-depth content on Digital Marketing. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE.

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

Watch more videos on Digital Marketing: https://www.youtube.com/watch?v=xA_yMYN19ug&list=PLEiEAq2VkUULa5aOQmO_al2VVmhC-eqeI

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Get a hands-on Live Interactive Learning experience with this Digital Marketing Course. Learn via fundamental and advanced material, preparing you for your Digital Marketing Career. Get a Meta Certified Digital Marketing Associate exam voucher worth USD $99 to showcase your skills.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
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- Build your website & learn real-world hands-on digital marketing techniques
- Master sessions by Meta Blueprint trainer
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- 5 Capstone problem statements and 15+ course-end projects
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

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For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

October 28, 2025
This lecture provides walkthroughs of examples of AI projects and making day-to-day decisions in building AI systems.

To learn more about enrolling in this course, visit: https://online.stanford.edu/co....urses/cs230-deep-lea

To follow along with the course schedule and syllabus, visit: https://cs230.stanford.edu/syllabus/

More lectures will be published regularly.
View the playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r

NOTE: There was no class on November 4, 2025 (Lecture 7). The next lecture is Lecture 8.

Andrew Ng
Founder of DeepLearning.AI
Adjunct Professor, Stanford University’s Computer Science Department

Kian Katanforoosh
CEO and Founder of Workera
Adjunct Lecturer, Stanford University’s Computer Science Department

🔥Post Graduate Program In Cyber Security: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=FirewallScribe&utm_medium=Descriptionff&utm_source=youtube

This short animated video on What Is A Firewall? will help you understand what a firewall is, along with firewall configuration and how it enables you to prevent a cyberattack. This firewall explained Simplilearn video will help you understand the importance of a firewall, the types of firewalls and network security, and how it works. So, let's get started with this network security topic! Don't forget to take the quiz at 4.28!

The topics covered in this Firewall tutorial video are:
00:00 What Is a Firewall
00:44 Importance of Firewall Configuration
01:32 How Firewall Works
02:31 Types of Firewalls and Network Security
02:57 Packet Filtering Firewall
03:16 Stateful Inspection Firewall
03:35 Proxy Firewall
04:08 Applications of a Firewall
04:28 Firewall Quiz
04:51 Cybercrimes

🔥Enroll for Free Cyber Security Course & Get Your Completion Certificate: https://www.simplilearn.com/learn-cyber-security-basics-skillup?utm_campaign=FirewallScribe&utm_medium=Description&utm_source=youtube

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

⏩ Check out the Cyber Security training videos: https://www.youtube.com/watch?v=z5nc9MDbvkw&list=PLEiEAq2VkUUJfPOj5nRounXvf3n17PCft

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What is Network Security?
Most experts define network security as the policies and practices of taking protective measures for protecting network infrastructure from trespassing, illegal access, modification, abuse, change, destruction, or the unauthorized gathering and release of data.

What is Firewall?
If you picture your network as an exclusive nightclub, then the firewall would be the bouncer, working the door and keeping out undesirables. They filter network traffic based on predetermined policies, preventing unauthorized users from coming in. Anyone who’s tried to work remotely but were locked out of their company’s main systems due to not having the right authorization, has experienced first-hand the effectiveness of a firewall.

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- Industry case studies in cyber security
- Access to CEH Pro Version
- 25+ hands-on projects
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✅ Skills Covered

- Advanced Hacking Concepts
- Network Packet Analysis
- Ethical Hacking
- IDS Firewalls and Honeypots
- Security and Risk Management
- Network Security
- Software Development Security
- Cryptography OSI and TCPIP Models
- Identity and Access Management
- Security Assessment and Testing
- Trojans Backdoors and Countermeasures
- Mobile and Web Technologies

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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
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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
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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

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