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Generative AI
2,976 Views · 3 years ago

🔥Digital Marketing Specialist Program (Discount code - YTBE15): https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=DMFCSep13-2rHNDhc586Q&utm_medium=DescriptionFirstFold&utm_source=youtube
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In this digital marketing course, we'll talk about what is digital marketing, SEO, and its various concepts, social media marketing, Facebook ads, Instagram marketing, YouTube ads, content marketing, email marketing, affiliate marketing, and much more!

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#DigitalMarktingCourse #DigitalMarketingFullCourse #DigitalMarketingTutorialForBeginners #DigitalMarketing #LearnDigitalMarketing #DigitalMarketingForBeginners #DigitalMarketingTools #WhatIsDigitalMarketing #DigitalMarketingCourse #Simplilearn

About Simplilearn Digital Marketing course:
The Digital Marketing Certified Associate (DMCA) course is designed to help you master the essential disciplines in digital marketing, including search engine optimization (SEO), social media, pay-per-click (PPC), conversion optimization, web analytics, content marketing, email and mobile marketing. Digital marketing is one of the world’s fastest-growing disciplines, and this certification will raise your value in the marketplace and prepare you for a career in digital marketing.

What skills will you learn from this Digital Marketing course?
This course will enable you to:
1. Gain an in-depth understanding of the various digital marketing disciplines: search engine optimization (SEO), social media marketing, pay-per-click (PPC), website conversion rate optimization, web analytics, content marketing, mobile marketing, email marketing, programmatic buying, marketing automation, and digital marketing strategy
2. Master digital marketing execution tools: Google Analytics, Google Ads, Facebook Marketing, Twitter Advertising, and YouTube Marketing
3. Become a virtual digital marketing manager for an e-commerce company with Mimic Pro simulations included in our course. Practice SEO, SEM, Website Conversion Rate Optimization, email marketing, and more.
4. Gain real-life experience by completing projects using Google Analytics, Google Ads, Facebook Marketing, and YouTube Marketing

Who should take this Digital Marketing course?
Anyone who is looking to further his or her career in digital marketing should take this course, especially those seeking leadership positions. Any of these roles can benefit from the Digital Marketing Specialist training:
1. Marketing Managers
2. Digital Marketing Specialists
3. Marketing or Sales Professionals
4. Management, Engineering, Business, or Communication Graduates
5. Entrepreneurs or Business Owners

🔥Learn more at: https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=DMFCSep13-2rHNDhc586Q&utm_medium=Description&utm_source=youtube

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Generative AI
3,318 Views · 3 years ago

🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=TableauTraining-Wh4sCCZjOwo&utm_medium=Description&utm_source=youtube
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This video is an updated and complete Tableau Full Course In 8 Hours. This Tableau Tutorial is designed to guide you right from the introduction. The video includes the Business Intelligence fundamentals, Charts in Tableau, Calculated fields, and other crucial segments and finally, you will also learn to design and customize your own Tableau Dashboard that provides you with real-time interactive data visualization. The Tableau Training For Beginners video includes the following topics.

🔥Free Tableau Course: https://www.simplilearn.com/learn-tableau-online-free-course-skillup?utm_campaign=TableauTraining&utm_medium=Description&utm_source=youtube

Below topics are explained in this Tableau tutorial video:
0:00 Tableau - Introduction
00:50 Business Intelligence
01:51 Tableau
01:55 Why Tableau?
02:29 Tableau Products
05:42 Excel vs Tableau Summary
05:51 Tableau Installation
05:54 Installation of Tableau
06:46 Tableau Interface
10:48 [Demo: Dimensions and Measures]
15:38 Visualization - Chart - Average by Region
01:00:53 Donut Chart - Pie Chart
01:12:08 Dashboards- Worksheets
01:25:32 Dashboards -Sales
01:40:12 Profit version of the dashboard
01:53:54 Linking overall dashboard to sales dashboard
02:02:15 Segment Dashboard
02:06:48 Top Customers by Sales
02:14:50 Difference between live connection and extract connection
02:32:29 Actions in Tableau - Sales by Category Stacked
02:44:23 Reference Bands and Lines
02:54:58 Analysis -Delays: Profit Waterfall
03:08:46 Population Dashboard
03:32:48 Health Dashboard
03:53:57 Economy Dashboard
04:07:02 Dashboard - Ease of Business
04:28:24 What is Tableau?
04:29:01 Why is it important?
04:30:09 Joins
04:32:49 Dimensions & Measures
04:33:19 Dashboard Designing
04:44:18 Win percent based on Toss Decision
04:55:04 Dashboard - Batsman Performance
05:56:45 Dashboard -Bowler Performance
06:22:10 Tableau Interview Questions
06:22:16 What are the data types supported in Tableau?
06:22:56 What do you understand by Dimensions and Measures?
06:23:48 What do you understand by Discrete and Continuous in Tableau?
06:25:51 What are the filters? Name the different filters in Tableau.
06:29:07 What are the different joins in Tableau?
06:30:49 What is the difference between Join and Blending?
06:32:59 What is the difference b/w Live and Extract?
06:34:31 What is a Calculated Field? How will you create one?
06:37:00 How can you display the top five and last five sales in the same view?
06:39:10 Is there any difference between Sets and Groups, in Tableau?
06:42:49 What is a Parameter in Tableau? Give an example.
06:44:34 What is the difference between Treemaps and Heat maps?
06:48:27 What is the difference between b/w .twbx and .twb? and .two?
06:49:30 Explain the difference b/w Tableau worksheet, dashboard, story, and workbook?
06:51:56 What do you understand by Blended Axis?
06:53:29 What is the use of dual-axis? How do you create one?
06:56:06 What will the following function return? Left(3, "Tableau")
06:57:13 How do you handle Null and other special values?
07:02:00 Find the customer with the lowest overall profit. What is his/her profit ratio?
07:03:33 What is the Rank function in Tableau?
07:07:42 How can you embed a webpage in a dashboard?
07:09:38 Design a view to show region wise profit and sales?
07:11:03 How can you optimize the performance of a dashboard?
07:12:20 Which visualization will be used in the given scenarios:
07:15:05 What will you do if some country/province
07:16:42. What is LOD expression?
07:19:17 How can you calculate the daily profit measure using LOD?
07:22:57 How can you schedule a workbook in Tableau after publishing it?

Dataset Link - https://drive.google.com/drive..../folders/18BFipLUm5p

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#Tableau #TableauTraining #TableauCertification #TableauDeskTop10 #BusinessAnalytics #DataScience #Simplilearn

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Generative AI
2,758 Views · 3 years ago

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In this video on " Build a Game Using Python and ChatGpt", we will learn how to make a tic-tac-toe and snake game using chatgpt. We will be using only the code generated by OpenAI's newest creation, ChatGPT. Below are the topics covered in this game using the chatgpt video:

00:00 Build a Game Using Python and Chatgpt
02:40 What is Chatgpt
04:30 Tic-Tac-Toe game
16:20 Snake Game

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#GameUsingChatGPT #ChatGPTForGaming #SnakeGame #TicTacToe #ArtificialIntelligence #AI #TopCertifications #BestCoursesOnline #Simplilearn

About Post Graduate Program In AI And Machine Learning Course:

A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:
1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

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Generative AI
4,052 Views · 3 years ago

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on Bayesian statistics, regularization, digression-online learning, and the applications of machine learning algorithms.

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

Generative AI
3,423 Views · 3 years ago

Bryan Catanzaro, Vice President, Applied Deep Learning Research, NVIDIA, shares how #generativeAI (GA) enables businesses to develop better products and services and deliver original content tailored to the unique needs of customers and audiences.

Watch this full #GTC23 session at https://bit.ly/45aQTSW.

Generative AI
3,484 Views · 3 years ago

Patreon: https://www.patreon.com/daveshap (now includes Discord!)
GATO Framework: https://www.gatoframework.org/

GitHub: https://github.com/daveshap
LinkedIn: https://www.linkedin.com/in/dave-shap-automator/
Twitter: https://twitter.com/d_shap_autom8r

Relevant Subreddits:
Artificial Sentience: https://www.reddit.com/r/ArtificialSentience/
Heuristic Imperatives: https://www.reddit.com/r/HeuristicImperatives/
Autonomous AI: https://www.reddit.com/r/Autonomous_AI/

DISCLAIMER: This video is not medical, financial, or legal advice. This is just my personal story and research findings. Always consult a licensed professional.

I work to better myself and the rest of humanity.

Generative AI
3,010 Views · 3 years ago

Training Chat GPT with your business information involves providing the model with data specific to your business domain so that it can learn and generate relevant responses. Here are the steps to prepare a note on your business and insert it into the chat area to train Chat GPT:

Prepare a note that contains information about your business, such as its products, services, policies, and procedures. You can write the note in a document or note-taking application.

Identify the keywords and phrases that are relevant to your business and highlight them in the note. These keywords and phrases will help Chat GPT to learn and generate relevant responses.

Open the chat area where you want to train Chat GPT, such as a chatbot or messaging platform.

Copy and paste the note into the chat area. Chat GPT will analyze the text and use it to train its language model.

Interact with Chat GPT by asking it questions related to your business domain. Chat GPT will use its trained model to generate responses based on the information you provided.

Monitor the responses generated by Chat GPT and provide feedback to help it learn and improve. You can also update the note with new information to expand Chat GPT's knowledge base.

Repeat the process of training and interacting with Chat GPT until it can provide accurate and relevant responses to a wide range of questions related to your business domain.
#howto #train #chatgpt #chatgptbot #chatgpttutorial #chatgpthowtouse #chatgptexplained #chatgptprompts

Video Title: How to Train Chat GPT On Your Business | Training Chat GPT on Your own.

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Generative AI
4,038 Views · 3 years ago

This ChatGPT Tutorial is a Crash Course on Chat GPT for Beginners. With the increase in popularity, ChatGPT is still unknown to many people. In this video, I will provide a crash course on different ways to use ChatGPT.

⭐ New - Teach Me OpenAI Digital Book ⭐
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I've put together a easy to understand book with ~60 pages about OpenAI and GPT with how to get started to integrate it into projects, code examples, and much more!

Try the OpenAI Template - Starter Kit I've made
https://enhanceui.gumroad.com/....l/chatgpt-starter-te
This is new and ready for those looking to kickstart their own app or website using the OpenAI GPT models. I've built it on MERN it should save you over 100 hours if you want to build or test your own ideas! This also supports the channel if you have found these videos of benefit!

New - ChatGPT Starter Kit
https://enhanceui.gumroad.com/....l/chatgpt-template-s

00:00 - Introduction
00:17 - Signup
02:27 - ChatGPT Details
06:52 - How to use Prompts
12:28 - Shopping List
14:55 - JavaScript
18:04 - Errors with ChatGPT
19:13 - Short Story
20:41 - Text Video Game
21:42 - Legal and Copyright Templates
22:59 - Jokes and Humour
24:31 - Cover Letters and Resumes
27:28 - Summarization and Keyword Extraction
29:34 - Blogging Articles and Editing
33:46 - Conclusion

You can access OpenAI ChatGPT signup here:
https://chat.openai.com/

#chatgpt #openai #ai

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Generative AI
4,064 Views · 3 years ago

🔥 Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=3June2023IsPythonReallyDead&utm_medium=DescriptionFirstFold&utm_source=youtube
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In this Is Python Really Dead? video, we tackle the question, "Is Python Really Dead?" We explore the concerns and criticisms surrounding Python, such as its performance in demanding tasks and the division between Python 2 and 3. However, we also highlight Python's resilience and adaptability, discussing its continuous development, strong community, and relevance in various industries. We delve into the enduring popularity of Python in fields like data science and machine learning. Whether you're a Python enthusiast or curious about programming trends, this video provides valuable insights on the future of Python. Join the conversation and share your thoughts in the comments.

Here in this Is Python Really Dead? video, we start with:

00:00

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➡️ Post Graduate Program In AI And Machine Learning
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Generative AI
1,558 Views · 3 years ago

🔥Digital Marketing Specialist Program (Discount Code - YTBE15): https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=DMWeekDay1&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Professional Certificate Program In Digital Marketing: https://www.simplilearn.com/pgp-digital-marketing-certification-program?utm_campaign=DMWeekDay1&utm_medium=DescriptionFirstFold&utm_source=youtube

In this digital marketing 101 video, we'll talk about what is digital marketing, SEO, and its various concepts, social media marketing, Facebook ads, Instagram marketing, YouTube ads, content marketing, email marketing, affiliate marketing, and much more! We will cover all the basics needed to start your Digital Marketing career.

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#DigitalMarkting101 #DigitalMarktingCourse #DigitalMarketingFullCourse #DigitalMarketingTutorialForBeginners #DigitalMarketing #LearnDigitalMarketing #DigitalMarketingForBeginners #DigitalMarketingTools #WhatIsDigitalMarketing #DigitalMarketingCourse #Simplilearn

About Simplilearn Digital Marketing course:
The Digital Marketing Certified Associate (DMCA) course is designed to help you master the essential disciplines in digital marketing, including search engine optimization (SEO), social media, pay-per-click (PPC), conversion optimization, web analytics, content marketing, email and mobile marketing. Digital marketing is one of the world’s fastest growing disciplines, and this certification will raise your value in the marketplace and prepare you for a career in digital marketing.

What skills will you learn from this Digital Marketing course?
This course will enable you to:
1. Gain an in-depth understanding of the various digital marketing disciplines: search engine optimization (SEO), social media marketing, pay-per-click (PPC), website conversion rate optimization, web analytics, content marketing, mobile marketing, email marketing, programmatic buying, marketing automation and digital marketing strategy
2. Master digital marketing execution tools: Google Analytics, Google Ads, Facebook Marketing, Twitter Advertising, and YouTube Marketing
3. Become a virtual digital marketing manager for an e-commerce company with Mimic Pro simulations included in our course. Practice SEO, SEM, Website Conversion Rate Optimization, email marketing and more.
4. Gain real-life experience by completing projects using Google Analytics, Google Ads, Facebook Marketing, and YouTube Marketing
5 Create the right marketing messages tailored for the right audiences

Who should take this Digital Marketing course?
Anyone who is looking to further his or her career in digital marketing should take this course, especially those seeking leadership positions. Any of these roles can benefit from the Digital Marketing Specialist training:
1. Marketing Managers
2. Digital Marketing Specialists
3. Marketing or Sales Professionals
4. Management, Engineering, Business, or Communication Graduates
5. Entrepreneurs or Business Owners
6. Marketing Consultant

Learn more at: https://www.simplilearn.com/advanced-digital-marketing-certification-training-course?utm_campaign=DMWeekDay1&utm_medium=Description&utm_source=youtube


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Generative AI
1,739 Views · 3 years ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/python-....programming-certific
This Edureka session on Python OOPS concepts (Python OOPs Blog: http://bit.ly/2JlVhFJ) will help you understand Python Classes and Objects with examples. It will also explain the concept of OOPS in Python
00:00:00 Introduction
00:00:45 Agenda
00:01:05 Classes and Objects
00:03:56 Classes in Python
00:05:30 Hands-On in classes
00:18:58 OOPS Concept in Python
00:19:07 Inheritance
00:20:03 Hands-On in inheritance
00:26:36 Encapsulation
00:27:57 Abstraction

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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

Generative AI
11 Views · 3 years ago

*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️
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This video on the "Artificial Intelligence full course" video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.
Below are the topics covered in this AI and ML full course:

00:00:00 Artificial Intelligence Full Course 2022
00:01:45 Artificial Intelligence Basics
00:14:46 Top 10 AI Technologies 2022
00:24:47 Top 10 AI Companies for 2022
00:53:10 Machine Learning Algorithms
00:53:23 Linear Regression
01:02:08 Decision Tree
01:10:26 SVM
01:38:48 Clustering
01:39:31 K-means Clustering
02:09:11 Logistic Regression
02:35:34 KNN
05:04:16 Perceptron
07:19:27 RNN
08:13:01 Keras
09:25:19 CNN classification
10:06:38 Sequential Model

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What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves.

What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

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Generative AI
6 Views · 3 years ago

Learn advanced C# programming concepts. This course is designed to elevate your programming proficiency, delving into intricate aspects like delegates, events, generics, async/await tasks, and LINQ, plus you'll learn about .NET. With detailed code examples and best practice guidelines, you'll explore design patterns, user actions, queries, operators, C# attributes, and more.

✏️ Course created by @GavinLon

🎥 C# for Beginners Playlist: https://www.youtube.com/watch?v=2pquQMSYk6c&list=PL4LFuHwItvKbneXxSutjeyz6i1w32K6di

⭐️ Contents ⭐️
⌨️ (0:00:00) Part 1 - Introduction
⌨️ (0:01:08) Part 2 - Overview of the Advanced C# Course
⌨️ (0:20:46) Part 3 - The Significants of the Release of .NET 5
⌨️ (0:33:17) Part 4 - Delegates - Introduction
⌨️ (0:47:47) Part 5 - Delegates - Create a Code Example
⌨️ (1:51:45) Part 6 - Delegates - Understanding Covariance and Contravariance
⌨️ (2:04:19) Part 7 - Delegates - Fund, Action and Predicate
⌨️ (2:24:26) Part 8 - Delegates - Asynchronous Method Calls
⌨️ (2:39:24) Part 9 - Events - Introduction
⌨️ (2:55:50) Part 10 - Events - Add/Remove Accessors
⌨️ (2:22:44) Part 11 - Events - User Actions & UWP
⌨️ (3:52:23) Part 12 - Events - The Observer Design Pattern
⌨️ (5:12:33) Part 13 - Generics - Introduction
⌨️ (5:27:30) Part 14 - Generics - Understanding Constraints
⌨️ (5:53:42) Part 15 - Generics - Generic Delegates and Events
⌨️ (6:34:56) Part 16 - Generics - The Factory Design Pattern
⌨️ (6:56:23) Part 17 - Async / Await Task - Introduction
⌨️ (7:35:36) Part 18 - Async / Await Task - Task.Run()
⌨️ (8:04:34) Part 19 - Async / Await Task - Best Practices
⌨️ (8:45:23) Part 20 - Async / Await Task - Cancelling Asynchronous Operations
⌨️ (9:13:47) Part 21 - LINQ - Introduction
⌨️ (9:50:14) Part 22 - LINQ - Queries
⌨️ (10:29:57) Part 23 - LINQ - Operators
⌨️ (11:16:51) Part 24 - LINQ - More Operators and Summary
⌨️ (12:18:46) Part 25 - C# Attributes
⌨️ (13:33:13) Part 26 - C# Reflection
⌨️ (14:34:53) Part 27 - .NET Framework and .NET Core
⌨️ (14:39:06) Part 28 - .NET 6
⌨️ (14:50:52) Part 29 - .NET 7

⭐️ Code ⭐️
Part 1
https://github.com/GavinLonDig....ital/SchoolHRAdminis
Part 3
https://github.com/GavinLonDig....ital/DelegateBasicEx
Part 4
https://github.com/GavinLonDig....ital/ClubMembershipA
Part 5
https://github.com/GavinLonDig....ital/CovarianceAndCo
Part 6
https://github.com/GavinLonDig....ital/FuncActionPredi
Part 7
https://docs.microsoft.com/en-....us/dotnet/standard/a
Part 8
https://docs.microsoft.com/en-....us/dotnet/standard/e
Part 9
https://github.com/GavinLonDig....ital/ThermostatEvent
Part 10
https://github.com/GavinLonDigital/EmployeeUWPApp
Part 11
https://github.com/GavinLonDig....ital/BuildingSurveil
Part 12
https://github.com/GavinLonDigital/GenericsBasics
Part 13
https://github.com/GavinLonDig....ital/GenericBubbleSo
Part 14
https://github.com/GavinLonDig....ital/HardwareWarehou
Part 15
https://github.com/GavinLonDig....ital/DigitalProductI
Part 16
-UWP Project
--------------------
https://github.com/GavinLonDig....ital/TestClientAsync
Web API Project
--------------------------
https://github.com/GavinLonDig....ital/TestTimeConsumi
Part 17
https://github.com/GavinLonDig....ital/FinancialTradin
Part 18
https://github.com/GavinLonDig....ital/FinancialTradin
Part 19
https://docs.microsoft.com/en-....us/dotnet/csharp/pro
Part 20
https://github.com/GavinLonDig....ital/ThePretendCompa
Part 21
https://github.com/GavinLonDigital/LINQExamples_1
Part 22
https://github.com/GavinLonDigital/LINQExamples_1
Part 23
https://github.com/GavinLonDigital/LINQExamples_2
Part 24
https://github.com/GavinLonDig....ital/AttributesExamp
Part 25
https://github.com/GavinLonDigital/TestHarness

🎉 Thanks to our Champion and Sponsor supporters:
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Generative AI
85 Views · 3 years ago

Linux has long been a favorite operating system for server administration because it’s a secure open-source O.S. that’s able to be both stable and flexible.

This course will teach you how to configure servers running the Linux operating system, including the boot process, kernel modules, network connection parameters, and localization groups.

Follow along with CBT Nuggets’ trainer Shawn Powers as he details every part of configuring, monitoring and supporting a server set-up that runs the Linux operating system.

⭐️ Course Contents ⭐️
(0:00:00) Introduction
(0:00:34) Explain Linux Kernel and Boot Concepts
(0:37:20) Configure and Verify Network Connections
(1:17:13) Manage Storage in a Linux Environment
(2:12:18) Install, Update, and Configure Software
(2:32:40) Manage Users and Groups
(3:02:32) Create, Modify, and Redirect Files
(3:51:20) Manage Local Services
(4:16:40) Summarize and Explain Server Roles
(4:49:50) Automate and Schedule Jobs
(5:06:30) Explain and Use Linux Devices

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--

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Data Analytics
3 Views · 3 years ago

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠: https://www.edureka.co/google-....cloud-architect-cert (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"
This Edureka video on '𝐖𝐡𝐚𝐭 𝐢𝐬 𝐆𝐨𝐨𝐠𝐥𝐞 𝐁𝐢𝐠𝐭𝐚𝐛𝐥𝐞' will give you an overview of cloud bigtable in Google Cloud Platform and will help you understand various concepts that concern GCP Bigtable.
Following pointers are covered in this Google Bigtable:
00:01:04 Why Google Bigtable?
00:04:39 What is Google Bigtable
00:05:20 Key Features
00:06:39 Architecture
00:07:48 Data Model
00:12:55 Use Cases

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

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

Data Analytics
16 Views · 3 years ago

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➡️ About Post Graduate Program In Data Analytics

This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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Data Analytics
4 Views · 2 years ago

Prepare to be Amazed: Shocking Changes After the AI Singularity: AGI Artificial General Intelligence!

Are you ready for a mind-bending journey into the future? Join us as we explore the incredible world that awaits us after the Singularity, where artificial general intelligence (AGI) reigns supreme. In this eye-opening video, we delve into the debate and fears surrounding Singularity, from the risk of human extinction to the emergence of a new superintelligent race.

But that's not all! We'll uncover the potential impacts of the Singularity, including economic collapse, loss of humanity, environmental disaster, and the erosion of our collective knowledge and history. Discover the driving factors propelling us closer to this technological tipping point, such as ever-increasing processing power, abundant labeled data, and groundbreaking approaches to AI training.

Hold on tight as we explore the groundbreaking applications of AGI, from virtual e-commerce assistants revolutionizing our daily lives to cutting-edge digital fraud detection systems. And we won't shy away from discussing the more controversial possibilities, including the potential enslavement of humanity, the specter of world war, and the mind-boggling concept of matryoshka brains.

As we peer into the future, we also consider the profound societal shifts ahead. Brace yourself for a potential economic collapse fueled by mass unemployment caused by AI automation. Transhumanism may detract from our humanity, challenging our very essence. And let's not forget the fear of World War III ignited by the conflict between humans and AI.

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Data Analytics
10 Views · 2 years ago

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Generative AI
13 Views · 2 years ago

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Data Analytics
3 Views · 2 years ago

Помощь проекту: https://vertdider.tv/to-support-us/

Мы настолько привыкли к свету, что даже не задумываемся о его природе. Но если бы более двух веков назад Томас Юнг не провёл свой знаменитый эксперимент, мы бы до сих пор гадали, что такое свет, волна или частица. Но благодаря ему всё решилось однозначно. Так ведь?

Перевод: Варвара Феофанова
Редактура: Алексей Малов
Озвучка: Вадим Казанцев, Андрей Антонов, Александр Пилипчак, Андрей Джис, Сергей Васильев, Лиза Тверская-Самойлова, Наталья Алейникова, Маргарита Корш, Алёна Соколова
Монтаж звука: Андрей Фокин
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Озвучки Vert Dider выходят с вашей помощью:

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