Artificial general intelligence (AGI) promises to unlock unbelievable new capabilities, from AI that can reason across domains to the potential for runaway self-improvement. This video explores the rise of AGI, visions of the singularity, and the long-term implications of advanced AI systems that may one day far surpass human-level intelligence.
We define AGI and consider predictions about when it could emerge, from futurists like Ray Kurzweil who foresee the singularity as early as the 2030s. But perhaps more importantly, what ethical precautions should guide AGI development? How can we ensure advanced AI aligns with human values and avoids existential catastrophe?
This video delves into the possibilities and perils of merging biological and nonbiological intelligence, and whether we could ever fully align an AI's goals with our own complex values. We contemplate whether uncontrolled AGI could view humanity as atoms to be used for a different purpose. But with diligence and wisdom, perhaps we can harness AI's potential as a force for good, ending disease, hunger, and environmental destruction.

Video Title: Are We Ready for Artificial General Intelligence? The Coming Of AGI

#agisimplyexplained #whatisagi #understandingagi #artificialgeneralintelligenceexplained #agideinition #agiexplained #agiconcept #agifuture #agitechnology #agibenefits #agirisks

As we stand at the threshold of superintelligent machines, we must thoughtfully shape the institutions that will guide the next phase of our civilization. Join us for an expansive look at artificial general intelligence and technological singularity. How humanity navigates this transition may determine our destiny across the stars.

Disclaimer: We do not accept any liability for any loss or damage which is incurred by you acting or not acting as a result of watching any of my publications. You acknowledge that you use the information I provide at your own risk. Do your own research.

Copyright Notice:
Video clips used here under fair use for educational purposes.
Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.

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✅ Other Videos You Might Be Interested In Watching:

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👉 Meet Ameca: Humanlike Perfection Using Stable Diffusion And Generative AI
https://www.youtube.com/watch?v=kUUjMzVGXpE&t=12s

👉 Ameca's Mind-blowing Drawing Skills Revealed! OpenAI's Neo Robot Launched
https://www.youtube.com/watch?v=XC9jiCOCU3o

=============================

✅ About AI Tech Academy.

Welcome to AI Tech Academy!

We are your go-to source for all the latest news, trends and insights into the world of Artificial Intelligence and Technology. Our mission is to make AI and technology more accessible to everyone. We create content to educate, inform, and entertain viewers on the topics of AI and tech. Our videos cover everything from AI tutorials to tech product reviews. We also discuss the implications and potential of AI in the future.

Our goal is to make AI and technology more understandable and accessible to everyone. Through our videos, we hope to empower viewers to become more informed about the potential of AI and tech and to become active participants in shaping its future.

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎) : https://www.edureka.co/devops-....certification-traini
This Edureka Git Full Course video will help you understand and learn the fundamentals of Git . This Git Tutorial is ideal for both beginners as well as professionals who want to master the fundamentals of Git. Below are the topics covered in this git full course tutorial for beginners :
00:00:00 Introduction
00:01:00 Agenda
00:02:26 What is Git
00:18:31 Git features
00:24:10 Git Installation & Setup
00:26:56 Git Operations & Commands
00:54:48 Introduction to SSH Keys
01:14:18 Git Basic Commands
01:20:21 Git Branching
01:27:15 WOrking with Remote Repositories
01:32:02 Advanced Git Commands
01:44:32 GitHub Basics
01:44:08 What is GitHub
01:46:22 Getting Started with GitHub
01:53:32 Creating a New Repository
01:58:55 Creating a Branch
02:09:07 Case study
02:11:07 GitHub Workflow
02:15:55 GitHub Flow
02:22:58 GitBash
02:27:43 How to Install GitBash in Windows
02:46:29 GitHub Repository
03:11:21 Compare Remote Repos
03:13:23 Compare the Local Git branch with remote
03:19:22 Pull request
03:20:55 Creating a pull request from a fork
03:24:07 GitLab CI/CD Pipeline
03:26:50 CI-CD Pipeline
03:32:02 Why use GitLab
03:39:49 Git Branching and Stashing
03:42:02 what is Branching
03:44:02 Git storage strategy
03:58:59 Merge Conflict
04:04:44 Stashing
04:13:03 Git WOrkflow
04:26:09 Centralized WOrkflow
04:35:17 Git Rebase
04:39:51 Golden Rule of Git Rebase
04:44:27 Rebase Commands
04:46:19 Rebase Configuration Options
04:52:44 Difference between merge and Rebase
04:56:38 What is Jenkins
05:09:38 What are webhooks
05:11:26 How to build a webhook
05:17:35 What are GitOps
05:27:03 Giw GitOps Works
05:30:59 Git Beginners interview questions
05:42:37 Git Intermediate Interview Questions
05:56:38 Git Advanced Interview Questions

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🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
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🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
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🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Professional Certificate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 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
NIT Warangal: http://bit.ly/3OuZ3xs

📢📢 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
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌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.

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

🔥Edureka CompTIA Security+ Certification Training: https://bit.ly/3nxeVRl
This Edureka video on "Cybersecurity Fundamentals" will introduce you to the world of cybersecurity and talks about its basic concepts. Below is the list of topics covered in this session:
0:59 - Need for cybersecurity
4:32 - What is cybersecurity
6:42 - Fundamentals of cybersecurity
11:35 - Cyberattack Incident

CyberSecurity Certification Training : https://www.edureka.co/cyberse....curity-certification

🔵 PGP in Cybersecurity with NIT Rourkela: http://bit.ly/2ShE6v7

Subscribe to our channel to get video updates. Hit the subscribe button above.

About Edureka Cyber Security Training

Cybersecurity is the combination of processes, practices, and technologies designed to protect networks, computers, programs, data and information from attack, damage or unauthorized access.

Edureka’s Cybersecurity Certification Course will help you in learning about the basic concepts of Cybersecurity along with the methodologies that must be practiced ensuring information security of an organization. Starting from the Ground level Security Essentials, this course will lead you through Cryptography, Computer Networks & Security, Application Security, Data & Endpoint Security, idAM (Identity & Access Management), Cloud Security, Cyber-Attacks and various security practices for businesses.

------------------------------------------------

Why Learn Cyber Security?

Cybersecurity is the gathering of advances that procedures and practices expected to ensure systems, PCs, projects and information from assault, harm or unapproved get to. In a processing setting, security incorporates both cybersecurity and physical security, it is imperative since cyberattackers can without much of a stretch take and obliterate the profoundly grouped data of governments, defense offices and banks for which the results are huge so it is essential to have an appropriate innovation which an avoid digital wrongdoings.

---------------------------------------------------

Objectives of Edureka Cyber Security Course

• This course is designed to cover a holistic & a wide variety of foundational topics of the cybersecurity domain which will be helpful to lead freshers as well as IT professional having 1 to 2 years of experience, into the next level of choice such as ethical hacking/ audit & compliance / GRC/ Security Architecture and so on
• This course focuses mainly on the basics concepts of Cyber Security
• In this course, we are going to deal with Ground level security essentials cryptography, computer networks & security, application security, data & endpoint security, idAM (identity & access management), cloud security, cyber-attacks and various security practices for businesses
• This course will be your first step towards learning Cyber Security
--------------------------------------

Who Should go for this Training?

Anyone having the zeal to learn innovative technologies can take up this course. Especially, students and professionals aspiring to make a career in the Cybersecurity technology. However, Cybersecurity Certification Course is best suited for the below mentioned profiles:-
• Networking Professionals
• Linux Administrators
-----------------------------------------------

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

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#IntroductionToDataAnalytics #DataAnalyticsForBeginners #DataAnalyticsTutorial #DataAnalyticsForBeginners #DataAnalysis #DataAnalytics #2023 #Simplilearn

➡️ 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.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered

- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

✅ Enroll Course Now: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=15Nov2023IntroductionToDataAnalytics&utm_medium=Description&utm_source=youtube

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

👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=15Nov2023IntroductionToDataAnalytics&utm_medium=Description&utm_source=youtube

🔥 MySQL DBA Certification Training: https://www.edureka.co/mysql-dba
This Edureka video on 'MySQL vs MongoDB' we can understand both MySQL and MongoDB along with their comparison with each of its special features and their popularity.
The topics covered in this video are:
00:00:00 Agenda
00:01:18 Introduction to Databases
00:07:21 What is MySQL?
00:12:34 What is MongoDB?
00:16:02 Differentiating in terms of features
00:18:39 Which is better to choose?

-------------------------------------

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----------------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬------------

🟣Full Stack Developer Masters Program: https://bit.ly/3dSY21q
🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Business Intelligence Masters Program: https://bit.ly/2BPLtn2


--------------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝐆𝐏 𝐂𝐨𝐮𝐫𝐬𝐞𝐬-------------

🔵Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1

-----------------------------------------

#edureka #EdurekaMySQLvsMongoDB #MySQLvsMongoDB #DifferencebetweenMySQLandMongoDB #DataBaseTraining #EdurekaTraining #edurekasql #edureka

-----------------------------------------------------------------
How does it work?

1. This is a 4 Week Instructor-led Online Course.

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.

3. At the end of the training, you will be working on a real-time project for which we will provide you with a Grade and a Verifiable Certificate!

--------------------------------------------------------------------
About The Course
MySQL is the most popular open-source database. This training is your first step towards gaining a strong foundation and hands-on experience in using and administering this open-source relational database.

You will gain an understanding of the core concepts and advanced tools and techniques to manage data and administer the MySQL Database. Through this training, you will gain the ability to create and administer your own MySQL Database and manage data.

----------------------------------------------------------------------
Who should go for this course?
This course can be beneficial for people having the below professional background:

• Database Developers

• Application Developers

• Database Designers

• Database Administrators

-----------------------------------------------------------------------
Why learn MySQL DBA?

Edureka's MySQL Administration training is based on the MySQL Database 5.6 version. This is your first step in getting to know this open-source relational database with extensive hands-on learning.

You will get a general understanding of relational databases and techniques to design an efficient database system. You will learn the powerful Structured Query Language (SQL) to build a database and manipulate data. You will also learn the various administration skills required to manage the database.

-----------------------------------------------------------------------

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.

🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=DoANDQMAmIg&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=DoANDQMAmIg&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in Data Analytics - https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DoANDQMAmIg&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - Data Analytics Bootcamp (US Only) - https://www.simplilearn.com/data-analytics-bootcamp?utm_campaign=DoANDQMAmIg&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitg-generative-ai-data-analytics-program?utm_campaign=DoANDQMAmIg&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Excel Full course video by simplilearn will help you learn Microsoft excel from basics to advanced concepts. This Introduction to Excel Full Course provides a detailed guide to learning Excel and related data analytics tools. Starting with what Microsoft Excel is, the course offers an Excel tutorial for beginners, teaching you the basics. You'll learn advanced features like Microsoft Power Query and how to use Copilot in Excel for enhanced productivity. The course covers 10 essential Excel formulas, explains the concept of DBMS, and explores data analytics using AI. It also compares Data Science vs. Data Analytics and outlines a roadmap to becoming a data analyst. Additionally, it introduces key BI terms every data analyst should know and demonstrates how to use ChatGPT to build an Excel dashboard. To solidify your skills, it concludes with the top 10 data analyst projects for your portfolio, providing practical insights to excel in your career.

00:00:00 Introduction to Excel Full Course
00:03:55 What is Microsoft Excel
05:42:00 Excel Tutorial For Beginners
06:03:24 How to use Microsoft power query
06:12:45 Copilot In EXCEL
06:36:31 10 important excel formulas
06:37:39 What is DBMS
06:48:32 Data Analytics using AI
07:12:59 Data Science Vs Data Analyst
07:31:40 Data Analyst Roadmap
07:32:29 Top BI Terms every data analyst know
08:09:23 How to use ChatGPT to built an Excel Dashboard
08:21:58 Top 10 Data Analyst Projects for your portfolio

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

#excelfullcourse #excelcourse #excel #exceldataanalytics #exceltraining #excelformulasandfunctions #exceldatavisualization #simplilearn #2024

➡️ 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.

Key Features
✅ Post Graduate Program certificate and Alumni Association membership
✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ 8X higher live interaction in live online classes by industry experts
✅ Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
✅ Master Classes delivered by Purdue faculty and IBM experts
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Resume preparation and LinkedIn profile building
✅ 1:1 mock interview
✅ Career accelerator webinars

Skills Covered
✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=DoANDQMAmIg&utm_medium=Description&utm_source=youtube

10 Hacks to take your ChatGPT prompting skills to the next level! 🔝

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► First Day to First Sale https://utm.io/ugCAE

––––––––––––––––––––––––––––––––––––––––––––
How to use ChatGPT like a pro!

ChatGPT can do so much now. Even more than when it first launched.
Upon launching Chat GPT could give you business ideas but now? Now it can literally replace you CEO if you wanted. So imagine what ChatGPT could do next year.
So if you wanna save time and make your life easier, I’m gonna give you 10 really cool hacks that are literally mind blowing.

––––––––––––––––––––––––––––––––––––––––––––
-- TOOLS & RESOURCES –
► Shopify Blog https://utm.io/ugCAF
► Create Shopify Account https://utm.io/ugCAC
► How to Build a Shopify Store https://utm.io/ugCAG
► Learn with Shopify Shorts https://utm.io/ugCAK
► Shopify Podcast https://utm.io/ugCAI


––––––––––––––––––––––––––––––––––––––––––––

#ChatGPT #openai #aitools

Do odd perfect numbers exist? Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.

Special thanks to our Patreon supporters! Join this list to help us keep our videos free, forever:
https://ve42.co/PatreonDEB

A massive thank you to Prof. Pace Nielsen for all his time and help with this video.

A big thank you to Dr. Asaf Karagila, Pascal Ochem, Prof. Tianxin Cai, and Prof. William Dunham for their expertise and help.

To try GIMPS out yourself: https://ve42.co/GIMPS

These sources were particularly helpful:
Perfect numbers via MacTutor - https://ve42.co/MTPerfect
Cai, T. (2022). Perfect numbers and fibonacci sequences. World Scientific. - https://ve42.co/Cai2022
Dunham, W. (2022). Euler: The master of us all (Vol. 22). American Mathematical Society. - https://ve42.co/Dunham2022

▀▀▀
References:
https://www.youtube.com/watch?v=T0xKHwQH-4I&pp=ygUPcGVyZmVjdCBudW1iZXJz
https://www.youtube.com/watch?v=q8n15q1v4Xo&pp=ygUPcGVyZmVjdCBudW1iZXJz
Dickson, L. E. (1919). History of the Theory of Numbers.. (Vol. 1). Carnegie Institution of Washington.
Knill, O. (2007). The oldest open problem in mathematics. NEU Math Circle, December2. - https://ve42.co/Knill2007
Perfect number via Wikipedia - https://ve42.co/WikiPerfect
Introduction to Arithmetic via HalthiTrust - https://ve42.co/IntroArithmetic
Nicomachus of Gerasa via MacTutor - https://ve42.co/MTNicomachus
Sonja, B. (1988). The First Perfect Numbers and Three Types of Amicable Numbers in a Manuscript on Elementary Number Theory by Ibn Fellûs. Erdem, c. IV, 11. - https://ve42.co/Sonja1988
Ibn Fallus via Wikipedia - https://ve42.co/WikiFallus
Mersenne prime via Wikipedia - https://ve42.co/WikiMP
List of Known Mersenne Prime Numbers - https://ve42.co/ListOfMP
Marin Mersenne via MacTutor - https://ve42.co/MTMersenne
Leonhard Euler via Wikipedia - https://ve42.co/WikiEuler
Frank Nelson Cole via Wikipedia - https://ve42.co/WikiFNCole
GIMPS History via Mersenne.org - https://ve42.co/GIMPSHistory
EFF Cooperative Computing Awards via EFF - https://ve42.co/EFFAwards
Jonathan Pace via Primewiki - https://ve42.co/PWikiPace
Book with just one number sells out in Japan via BastillePost - https://ve42.co/PrimeBook
Predicted distribution of Mersenne primes via John D. Cook - https://ve42.co/JDCookMP
Euler’s Odd Perfect Numbers Theorem via Cantor's Paradise - https://ve42.co/EulerOPN
A Perfect (Math) Mystery via Medium - https://ve42.co/Machado2024
Brent, R. P., Cohen, G. L., & te Riele, H. J. (1991). Improved techniques for lower bounds for odd perfect numbers. Mathematics of Computation, 57(196), 857-868. - https://ve42.co/Brent1991
Ochem, P., & Rao, M. (2012). Odd perfect numbers are greater than 10¹⁵⁰⁰. Mathematics of Computation, 81(279), 1869-1877. - https://ve42.co/Ochem2012
Mathematicians Open a New Front on an Ancient Number Problem via Quantamagazine - https://ve42.co/QuantaSpoofs
Descartes number via Wikipedia - https://ve42.co/WikiDescartesNumber
Andersen, N., Durham, S., Griffin, M. J., Hales, J., Jenkins, P., Keck, R., ... & Wu, D. (2022). Odd, spoof perfect factorizations. Journal of Number Theory, 234, 31-47. - https://ve42.co/Andersen2022
Pomerance’s Heuristic that Odd Perfect Numbers are Unlikely via OddPerfect.org - https://ve42.co/Heuristic

Images & Video:
Clip of Piergiorgio Odifreddi - https://www.youtube.com/watch?v=y0paHEA8-gA
Euclid’s Elements 1 via Claymath - https://ve42.co/CM1
Euclid’s Elements 2 via Claymath - https://ve42.co/CM2
Euclid’s Elements 3 via Claymath - https://ve42.co/CM3
Diophanti - https://ve42.co/Diophanti
Gauss book - https://ve42.co/GaussDis
Euler’s Archive 1 - https://ve42.co/Euler1
Euler’s Archive 2 - https://ve42.co/Euler2

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"🔥Data Analytics Masters Program: https://www.edureka.co/masters....-program/data-analys

In this video on Excel Tutorials for Beginners, you'll learn the fundamentals of working with Microsoft Excel. It covers the Excel interface, allowing you to get familiar with the ribbon, worksheets, and cells. Data entry techniques like typing values directly and using the AutoFill feature for repetitive data are demonstrated. The video guides you through basic calculations using formulas and functions for addition, subtraction, multiplication, and division. Formatting is also covered, showing you ways to enhance your data's appearance by changing font styles, colors, and number formats. Additionally, you'll learn how to transform your data into visuals like charts and graphs for better analysis and presentation. By the end, you'll have a solid understanding of essential Excel skills for organizing, calculating, and presenting data effectively, making it an ideal resource for Excel beginners.

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49:57 - Conditional Statements in Java
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02:24:01 - Static Members
02:43:23 - Method Overloading
02:54:26 - Variables by value or by reference
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03:30:44 - The Garbage Collector
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04:29:12 - Method Overriding
04:38:04 - Calling the Superclass's Constructors and Hidden Members
04:52:18- Type Casting
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🔥Edureka Machine Learning Certification Training: https://www.edureka.co/machine....-learning-certificat
This Edureka video on 'Top 10 Machine Learning Algorithms' covers the brief introduction of the top 10 algorithms used in Machine Learning. Following are the topics discussed

Why Machine Learning?
What is Machine Learning?
Why Machine Learning Algorithms
Top 10 Machine Learning Algorithms

Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm

----------------------------------------------------------------------------------------------------------
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----------------------------------------------------------------------------------------------------------

How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a 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 the 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 the python programming language to enhance your learning experience.

Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables 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.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
Who should go for this Machine Learning Certification Training using Python?

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

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
This Edureka video on "What is Machine Learning" (Machine Learning Blog: https://goo.gl/fe7ykh ) gives an introduction to Machine Learning and its various types.

🔹Check out our Playlist: http://bit.ly/2taym8X
🔹Blog Series: https://bit.ly/2PX5lIp
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-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
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🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
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-----------------------------------------Edureka PGP Courses---------------------------------------------------

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#edureka #machinelearningedureka #WhatisMachineLearning #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)

🔥PySpark Certification Training: https://www.edureka.co/pyspark....-certification-train
This Edureka "Machine Learning using Spark MLlib" video will help you to understand what is Machine Learning and what is Data Types. Learn and understand the kinds of problems that are solved using Machine Learning
00:00 Introduction
00:19 Agenda
06:01 What is Machine Learning
08:26 Features of Machine Learning '
13:56 Machine Learning Applications
15:02 Phases of Typical Machine Learning
18:02 Steps of Machine Learning
49:10 MLlib
53:43 Spark MLlib Tools


Edureka PySpark Playlist: https://goo.gl/pCym9F

🔴Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

------------------------------------Edureka Online Training and Certification---------------------------------

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🔵 AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
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🔵 Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
🔵 PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

🔵DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
🔵Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
🔵Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
🔵Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

---------------------------------------Edureka Post Graduate Courses-------------------------------------------

🔵 Artificial and Machine Learning PGD: https://bit.ly/3AylL0q

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#edureka #pysparkedureka #intorductiontosparkwithpython #pysparktutorial #pysparktraining #pysparkforbeginners #learnPyspark #withme

--------------------------------------------

About the Course

Edureka’s PySpark Certification Training is designed to provide you the knowledge and skills that are required to become a successful Spark Developer using Python and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout the PySpark Training, you will get an in-depth knowledge of Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, Spark MLlib and Spark Streaming. You will also get comprehensive knowledge of Python Programming language, HDFS, Sqoop, Flume, Spark GraphX and Messaging System such as Kafka.

----------------------------------------------

Spark Certification Training is designed by industry experts to make you a Certified Spark Developer. The PySpark Course offers:
Overview of Big Data & Hadoop including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator)
Comprehensive knowledge of various tools that falls in Spark Ecosystem like Spark SQL, Spark MlLib, Sqoop, Kafka, Flume and Spark Streaming
The capability to ingest data in HDFS using Sqoop & Flume, and analyze those large datasets stored in the HDFS
The power of handling real time data feeds through a publish-subscribe messaging system like Kafka
The exposure to many real-life industry-based projects which will be executed using Edureka’s CloudLab

---------------------------------------------------

Who should go for this course?

Developers and Architects
BI /ETL/DW Professionals
Senior IT Professionals
Mainframe Professionals
Freshers
Big Data Architects, Engineers and Developers
Data Scientists and Analytics Professionals

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There are no such prerequisites for Edureka’s PySpark Training Course. However, prior knowledge of Python Programming and SQL will be helpful but is not at all mandatory.

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For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free)

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Machine Learning is the most debated technology of the 21st century. In this machine learning crash course, you will learn about the basics of machine learning and the various applications of machine learning. You will understand the different machine learning algorithms with hands-on demo in Python and get an idea about a machine learning engineer's salary, roles, and responsibilities.

Below topics are explained in this Machine Learning tutorial:
00:00:00 Basics of machine learning python
00:08:42 Machine learning python vs Deep learning vs Artificial Intelligence
00:12:10 Human vs Artificial Intelligence
00:14:06 What is Machine learning python and Deep Learning all about?
00:26:22 Types of AI and Machine Learning
00:35:12 Application of machine learning
00:40:06 Machine learning Algorithms Classification
01:25:33 what is Clustering
01:26:19 K-means Clustering
01:55:55 Logistic Regression
02:21:26 what is a random forest
02:30:08 How does Random forest work?
03:00:07 Naive Bayes
03:42:35 Machine learning Engineer salary, Roles, and responsibilities
03:42:40 Who is a machine learning engineer
03:43:40 Responsibilities of a Machine Learning Engineer
03:48:03 Sills of a Machine Learning Engineer
03:54:06 Resume of a Machine Learning Engineer

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

⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=MachineLearningCrashCourse-NOJOYcmyDhM&utm_medium=Description&utm_source=youtube


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

🔥AI Engineer Specialist: https://l.linklyhq.com/l/1yhn3
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=UnsupervisedLearning-D6gtZrsYi6c&utm_medium=Descriptionff&utm_source=youtube
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Unsupervised learning is a machine learning technique to build models from unlabeled data. This video covers all the basics of unsupervised learning algorithms along with the applications. You will learn what clustering is and the different types of clustering, such as hierarchical and K Means Clustering. Finally, you will build clustering models in Python to solve business problems.

1. Learning Objectives - 00:15
2. Overview - 00:25
3. Examples and applications of unsupervised learning - 02:17
4. Clustering - 04:37
5. Hierarchical Clustering - 06:27
6. Hierarchical Clustering Example - 08:47
7. Demo: Clustering animals - 11:37
8. K Means Clustering - 16:27
9. Optimal Number of Clusters -18:17
10. Demo: Cluster Based Incentivization - 20:27
11. Key Takeaways - 28:17

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

⏩ Check out the Artificial Intelligence training videos: https://bit.ly/2Li4Rur

#UnsupervisedLearning #UnsupervisedLearningAlgorithms #WhatisUnsupervisedLearning #MachineLearningTutorial #Simplilearn

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.

🔥Free Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=UnsupervisedLearning&utm_medium=Description&utm_source=youtube

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=UnsupervisedLearning-D6gtZrsYi6c&utm_medium=Description&utm_source=youtube

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