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A Database is a collection of data. With the help of Database Management Systems, this data can be updated, retrieved, or deleted. In this video on Introduction to DBMS, we learn about what is a database, what really is a database management system and how it replaced the flat file system, then we will go through the components of DBMS and their applications and will have a look at the popular database management systems.

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🔥Edureka Linux Certification Training Course (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/linux-admin
This Edureka Linux Full Course video will help you understand and learn the fundamentals of Operating Systems and Linux in Particular. This Linux Tutorial is ideal for both beginners as well as professionals who want to master the fundamentals of Linux.

Below are the topics covered in this Linux full course video:

00:00:00 Introduction
00:00:32 Agenda
00:02:18 Fundaentals of Linux
00:16:05 Linux's Features
00:39:00 Working with Directories
01:04:23 Working with Commands
02:15:35 Working with files and Directories
02:21:18 Working with user permission
02:44:18 Working with Tar files
02:55:41 Regular Expression
03:07:57 Processess
03:40:41 Different shells iin Linux
04:05:15 Linux Directory Commands
04:20:47 Linux File Content Commands
04:41:15 Frequently used commands
05:41:49 Shell Script Basics
05:54:54 What is Linux File system?
05:58:11 File System Architecture
06:21:06 RPM- Red Hat Package
MAnager
06:31:44 RPM and YUM
06:38:17 Demo:YUM
06:42:22 Package Initial from directory
06:53:01 What is DNS?
07:06:06 Confifuring BIND DNS Server
07:49:29 Command Line Essentials
07:51:56 Shell Script Basic
07:57:40 Using Variables
08:07:29 Basics Operators
08:27:57 Use Case
08:43:01 Shell Scripting Interview Questions and Answer
09:03:57 Shell Scripting Interview question and answer intermediate level
09:39:44 Linux vs Window
09:56:20 Which OS is for you?
10:03:42 Unix Limitations
10:07:47 Linux interview Questions and Answers


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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/digital-marketing
This Edureka Live Session will tell you "How To Become A Digital Marketing Influencer". It will talk about the various skills you should have in order to become one.
00:00:00 Introduction
00:00:27 Agenda
00:00:53 Introduction to Digital Marketing
01:59 Digital Marketing Influence
00:04:20 Statistics
00:06:36 Reasons For brands to Collaborate with influencer

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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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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

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

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐲𝐛𝐞𝐫 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/cyberse....curity-certification 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
Cryptography is essential to protect the information shared across the internet. This video on What is cryptography explains you the fundamental concepts along with various encryption techniques. Below are the topics covered in this tutorial:
1. What is Cryptography?
2. Classification of Cryptography
3. How various Cryptographic Algorithm Works?
4. Demo: RSA Cryptography

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
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📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/


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

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐲𝐛𝐞𝐫 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/cyberse....curity-certification 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on "Cybersecurity Interview Questions and Answers" consists of 50 questions from multiple cybersecurity domains which will help you in preparation of your interviews. Watch it now!!
0:00 Introduction
0:35 What do you mean by Cybersecurity?
1:42 What do you have on your home network?
3:12 Tell me the difference between Symmetric and Asymmetric Encryption
3:47 What is CIA triad?
5:16 How do you report Risks?
6:14 What do you know about Cybersecurity Frameworks?
6:58 What is Weak Information Security?
7:31 What's the better approach of setting up a firewall?
9:30 What are Salted Hashes?
10:02 How identity theft could be prevented?
11:26 State differences between encoding, hashing and encryption
12:34 What steps will you take to secure a server?
13:41 Why do you need DNS monitoring?
14:25 What is a three-way handshake?
14:51 What are the Black hat, white hat and grey hat hackers?
16:05 How often should you perform Patch management?
16:25 What do you know about application security?
16:46 Differentiate between penetration testing and software testing?
18:02 Tell me about some common Cyber Threats
20:09 What are different Ost layers? What is the job of Network layer?
21:02 How would you reset a password-protected BIOS configuration?
22:18 What is data protection in transit vs data protection at rest?
23:21 Tell me the differences between Cybersecurity and Network Security?
24:41 What is an ARP and how does it work?
25:30 What is 25A and how can it be implemented for the public websites?
26:07 What techniques can be used to prevent brute force login attack?
26:36 What is Cognitive Cybersecurity?
27:01 What is port blocking within LAN?
27:20 What is the difference between VPN and VLAN?
27:52 What protocols falls under TCP/IP internet layer?
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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

🔥Post Graduate Program In DevOps: https://www.simplilearn.com/pgp-devops-certification-training-course?utm_campaign=DevOpsScribe&utm_medium=Descriptionff&utm_source=youtube
This video on DevOps will help you understand DevOps from scratch. You will come to know about the advent of DevOps, different stages in DevOps and what all tools are needed in those stages. You will understand the relationship between the Development team and the Operations team in the DevOps process. Later in the video you shall understand the applicability of DevOps and some tech giants that work on the DevOps culture. Towards the end we shall also have a quiz that will let you test your DevOps skills. So, with any further ado lets jump right in.

Don't forget to take the quiz at 03:33!

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Post Graduate Program in DevOps
This program, designed in collaboration with Caltech CTME, prepares you for a career in DevOps, bridging the gap between software developers and operations teams. Our unique Blended Learning combines live online classes, interactive labs and more, giving you hands-on experience and job-ready skills.This Post Graduate Program in DevOps will help you master the art and science of improving the development and operational activities of your entire team. You will build expertise via hands-on projects in continuous deployment, using configuration management tools such as Puppet, SaltStack, and Ansible.

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✅Caltech CTME Post Graduate Certification
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Get professionally certified in Product Management from SP Jain Global and become a part of their global Alumni network. This program involves 4 months of rigorous live training from SP Jain's top faculty across Australia, Dubai, and India, along with live sessions from top product leaders.

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✅ About Professional Certification In Product Management Program

The Professional Certification in Product Management by SP Jain School Of Global Management prepares you to become a Product Manager via an exhaustive curriculum covering all aspects of product management. This program educates you on the latest industry trends, advancements and related industry applications from Top Product Experts via Live Sessions.

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- Simplilearn's JobAssist helps you get noticed by top hiring companies
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🔥Professional Certificate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=ImageClassificationUsingCNN-Rmtr9SY-4VQ&utm_medium=Descriptionff&utm_source=youtube

This video, "Image Classification using CNN," is a project-based video by Simplilearn where you'll get to know how to create machine learning projects in python. In addition, you will also see how different python libraries like NumPy, TensorFlow, seaborn, matplotlib, and many more are used to create amazing projects for your portfolio. Below are the topics we are going to discuss in this machine-learning tutorial.

✅ 00:00 Image Classification using CNN
✅ 01:08 What is Image Classification?
✅ 01:40 What is CNN?
✅ 03:40 Hands-on Lab Demo

What is image classification?

The process of classifying an entire image is known as image classification. Images are anticipated to have just one class per image. Models for image classification take an image as input and produce a prediction of the class to which the image belongs.

We can utilize image classification models when we are not interested in individual instances of items with position information or their shape.

What is CNN?

Machine learning includes convolutional neural networks, also known as convnets or CNNs. It is a subset of the several artificial neural network models that are employed for diverse purposes and data sets. A CNN is a particular type of network design for deep learning algorithms that is utilized for tasks like image recognition and pixel data processing.

Numpy:

NumPy is a Python library used for working with arrays. It also has functions for working in the domain of linear algebra and matrices. It is an open-source project and you can use it freely. NumPy stands for Numerical Python.

Seaborn:

An open-source Python library based on matplotlib is called Seaborn. It is utilized for data exploration and data visualization. With data frames and the Pandas library, Seaborn functions with ease.

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✅ What is Deep Learning?

Deep learning can be defined as a subset of machine learning concerned with neural networks designed to imitate the human brain. Deep Learning Engineers are offered a great salary. The average salary of a Deep Learning Engineer in the United States is $140,000 per year.

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This video, " How to create video using ChatGPT" by Simplilearn, will take you through 2 different AI tools you can use to make engaging youtube videos. In this tutorial, you will see why using ChatGPT to make youtube videos is more easy and fun at the same time. In addition, you will also see how VEED is used to make engaging videos without giving much effort. Below are the topics we are covering in this ChatGPT tutorial.
00:00 How to create video using ChatGPT?
02:33 How to use ChatGPT for video script
06:10 Using ChatGPT to make youtube videos
09:25 Introduction to VEED
10:59 Using VEED to edit youtube videos

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🔵 What Is ChatGPT?
- ChatGPT is an advanced language model developed by OpenAI.
- It is based on the GPT-3.5 architecture, capable of generating human-like text.
- ChatGPT is trained on a vast amount of data and can provide conversational responses across a wide range of topics.

🔵 What is VEED?
VEED.IO is an online video editing platform enhanced by artificial intelligence, enabling effortless and inclusive video creation for all users.

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➡️ Post Graduate Program In AI And Machine Learning
In collaboration with Purdue, our AI and ML Course will help you unlock your AI and ML potential. You'll study Machine Learning, Deep Learning, Computer Vision, NLP, Speech Recognition, and Reinforcement Learning with Simplilearn's AI ML course online.

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Generative Deep Learning, 2nd Edition [David Foster]
https://www.oreilly.com/librar....y/view/generative-de

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TOC:
Introducing Generative Deep Learning [00:00:00]
Model Families in Generative Modeling [00:02:25]
Auto Regressive Models and Recurrence [00:06:26]
Language and True Intelligence [00:15:07]
Language, Reality, and World Models [00:19:10]
AI, Human Experience, and Understanding [00:23:09]
GPTs Limitations and World Modeling [00:27:52]
Task-Independent Modeling and Cybernetic Loop [00:33:55]
Collective Intelligence and Emergence [00:36:01]
Active Inference vs. Reinforcement Learning [00:38:02]
Combining Active Inference with Transformers [00:41:55]
Decentralized AI and Collective Intelligence [00:47:46]
Regulation and Ethics in AI Development [00:53:59]
AI-Generated Content and Copyright Laws [00:57:06]
Effort, Skill, and AI Models in Copyright [00:57:59]
AI Alignment and Scale of AI Models [00:59:51]
Democratization of AI: GPT-3 and GPT-4 [01:03:20]
Context Window Size and Vector Databases [01:10:31]
Attention Mechanisms and Hierarchies [01:15:04]
Benefits and Limitations of Language Models [01:16:04]
AI in Education: Risks and Benefits [01:19:41]
AI Tools and Critical Thinking in the Classroom [01:29:26]
Impact of Language Models on Assessment and Creativity [01:35:09]
Generative AI in Music and Creative Arts [01:47:55]
Challenges and Opportunities in Generative Music [01:52:11]
AI-Generated Music and Human Emotions [01:54:31]
Language Modeling vs. Music Modeling [02:01:58]
Democratization of AI and Industry Impact [02:07:38]
Recursive Self-Improving Superintelligence [02:12:48]
AI Technologies: Positive and Negative Impacts [02:14:44]
Runaway AGI and Control Over AI [02:20:35]
AI Dangers, Cybercrime, and Ethics [02:23:42]

In this conversation, Tim Scarfe and David Foster, the author of 'Generative Deep Learning,' dive deep into the world of generative AI, discussing topics ranging from model families and auto regressive models to the democratization of AI technology and its potential impact on various industries. They explore the connection between language and true intelligence, as well as the limitations of GPT and other large language models. The discussion also covers the importance of task-independent world models, the concept of active inference, and the potential of combining these ideas with transformer and GPT-style models.

Ethics and regulation in AI development are also discussed, including the need for transparency in data used to train AI models and the responsibility of developers to ensure their creations are not destructive. The conversation touches on the challenges posed by AI-generated content on copyright laws and the diminishing role of effort and skill in copyright due to generative models.

The impact of AI on education and creativity is another key area of discussion, with Tim and David exploring the potential benefits and drawbacks of using AI in the classroom, the need for a balance between traditional learning methods and AI-assisted learning, and the importance of teaching students to use AI tools critically and responsibly.

Generative AI in music is also explored, with David and Tim discussing the potential for AI-generated music to change the way we create and consume art, as well as the challenges in training AI models to generate music that captures human emotions and experiences.

Throughout the conversation, Tim and David touch on the potential risks and consequences of AI becoming too powerful, the importance of maintaining control over the technology, and the possibility of government intervention and regulation. The discussion concludes with a thought experiment about AI predicting human actions and creating transient capabilities that could lead to doom.

Hello everyone! Today we well be going over how to fine tune OpenAI's Chat-GPT3 using either someone else's data set or out own. We'll first go over how to reformat your data into a Json file and then how to easily reformat it to make sure the AI accepts it and has your input data accepted. After that we'll go over how to use the model!

This is how you can use OpenAI Chat GPT to make $100,000 a year. Good luck!
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