"🔥 Large Language Models (LLMs) Course with Generative AI : https://www.edureka.co/generative-ai-llms-course

In this video on ""Large Language Models Explained "", you'll gain a deep understanding of large language models (LLMs). We'll explore what LLMs are and how they function, providing clear examples along the way. You'll learn about the benefits of LLMs and discover the key differences between LLM development and traditional development methods. By the end of this video, you'll have a thorough grasp of LLM technology.

In this informative video of Large Language Models Explained, we will cover the essential topics such as:

✅ 00:00 - Introduction to Large Language Model
✅ 01:35 - What is LLMs?
✅ 02:20 - How LLMs works?
✅ 03:42 - Examples of LLMs
✅ 06:32 - Benefits of using LLMs
✅ 06:32 - Differentiate between LLM & Traditional development"
"✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 Large Language Models (LLMs) Course with Generative AI : https://rb.gy/fg3mdt
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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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

About Large Language Models (LLMs) Course with Generative AI

Edureka's course on Large Language Models with Generative AI offers a transformative journey into the intricacies of LLMs. Delve deep into content generation and application development, gaining the expertise to create innovative solutions. Enroll now to become a trailblazer in this rapidly evolving domain.
- - - - - - - - - - - - - -

Who should go for this course?
This course on Large Language Models is suitable for data scientists, software developers, and AI researchers aiming to advance their expertise in natural language processing and utilize LLMs in their projects. Additionally, professionals in content creation, marketing, and customer service seeking to leverage LLMs for text generation and analysis can benefit from this course.

- - - - - - - - - - - - - -
What are the Prerequisites for this course?
The prerequisites for this course on Large Language Models include a basic understanding of machine learning concepts, proficiency in programming languages such as Python, and familiarity with natural language processing fundamentals. Additionally, knowledge of deep learning frameworks like TensorFlow or PyTorch would be beneficial for participants.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#Edureka #largelanguagemodel #llm #llmmachinelearning #generativeai #edurekacourse"

🔥For 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 Visit: https://www.edureka.co/big-dat....a-hadoop-training-ce
Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎" to get 𝐅𝐥𝐚𝐭 𝟐𝟎% off on any training.
This Edureka video "𝐇𝐨𝐰 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫" will guide you through the steps to learn and have a successful career in Data Engineering. This video will help you to become a Data Engineer in 2024.

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⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🔵 Post Graduate 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

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📌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/


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

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=-ZH7K_f8IxU&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=-ZH7K_f8IxU&utm_medium=DescriptionFirstFold&utm_source=Youtube
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The Generative AI Full Course 2025 provides a structured learning path from fundamentals to advanced AI concepts. Begin with What is Gen AI?, the Evolution of AI, and AI Careers in 2025. Explore DeepSeek R1, Deep Learning, and the Generative AI Roadmap to understand key trends. Dive into Search GPT, LangChain, and GANs (Generative Adversarial Networks), along with Transformers, LSTM, and LLMs. Strengthen your foundation with Machine Learning & Reinforcement Learning Tutorials. Advanced topics include Recurrent Neural Networks (RNNs), ChatGPT Analysis, OpenAI Sora, LLM Benchmarking, and Hugging Face. Conclude with Agentic AI, Google Quantum AI, and Top AI Tools for Job Interviews, ensuring industry readiness.

Following are the topics covered in the Gen AI Full Course for 2025:

00:00:00 Introduction to Gen AI Full Course 2025
00:00:45 What is Gen AI
00:11:17 Evolution of AI
00:22:02 AI Careers in 2025
00:44:49 Deepseek r1
00:51:48 Deep Learning
00:53:15 Roadmap Gen AI
01:09:58 Search GPT
01:12:13 Langchain
02:08:48 Generative Adversarial Tutorial
02:18:10 What are Gans
02:19:11 Transformers in AI
02:31:40 LSTM
02:33:04 Introduction to LLM
03:34:17 What is Machine Learning
04:30:49 Machine Learning Tutorial For Beginners
06:36:12 Reinforcement Learning
08:05:51 Recurrent Neural Network
08:25:42 Chatgpt analyze
08:36:38 Openai sora
08:45:31 LLM Benchmarking
09:36:14 Hugging Face and its tutorial
09:51:38 Open ai chatgpt o1 model
09:52:19 Top 10 AI Technologies
10:05:29 Gen ai tools for job interview
10:42:31 Agentic AI
10:50:54 Google Quantum AI

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

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=-ZH7K_f8IxU&utm_medium=Description&utm_source=Youtube

Basically a full day AI course crammed into 18 mins of drawing & talking. Target audience: Everyone.
NEWS: Book is now available: https://leanpub.com/ainutshell
NEWS: Course is now available: https://www.ymnig.ai/courses/p....rompt-engineering-in

Covers questions like What is generative AI, how does it work, how do I use it, what are some of the risks & limitations. Also covers things like autonomous agents, the role of us humans, prompt engineering tips, AI-powered product development, origin of ChatGPT, different types of models, and some tips about mindset around this whole thing.

Here is the full drawing:
https://blog.crisp.se/wp-conte....nt/uploads/2024/01/g

Voice translations:
- Playlist with a bunch of AI voice translations: https://www.youtube.com/watch?v=ojLUcaqbLBM&list=PL-u8jDo3b1vnzUtiOfLliB2tbDLwVXiqb
- French: https://www.youtube.com/watch?v=AkPW3zWHA7w
- French: https://www.youtube.com/watch?v=nTFL-GzSrWo
- German: https://www.youtube.com/watch?v=Dgu5utapmk0
- Hindi: https://www.youtube.com/watch?v=gZdUcxqKCe4
- Kurdish (Sorani): https://www.youtube.com/watch?v=bvscuBrd3b0
- Ukrainian: https://www.youtube.com/watch?v=rUqIzty9hkM
- Urdu: https://www.youtube.com/watch?v=VFy6mvcOXoc

Would you like to make a voice translation? ElevenLabs can do really voice translation which even sounds like me :)
You can also do a manual dub with your own voice if you prefer. Whatever works best.
1. Check out https://elevenlabs.io/docs/dubbing/studio
2. Make the video & upload it to youtube or somewhere.
3. Make sure the description shows that this is an AI translation, and include a link to the original video.
4. Send a link to me (for example via a comment) and I'll add it above.

You can decide if you want to host it on your youtube channel or if I should host it.

If you have practical questions you can ask Stefan Kirschnick, he made the German dub and is happy to provide support. https://www.linkedin.com/in/stefankirschnick/

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=exNuMrqjBlE&utm_medium=Lives&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=exNuMrqjBlE&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=exNuMrqjBlE&utm_medium=Lives&utm_source=Youtube

The Gen AI Full Course 2025 By Simplilearn covers various concepts of Generative AI, starting with an Introduction to Artificial Intelligence and the concept of Generative AI. It outlines a roadmap to becoming a Gen AI Engineer, focusing on essential tools like OpenAI ChatGPT models and AI career options. The course dives deep into Deep Learning, Search GPT, LangChain, and OpenAI Sora. It includes tutorials on Generative Adversarial Networks (GANs), Transformers, LSTM, LLMs, and Machine Learning fundamentals. Advanced topics include Reinforcement Learning, Recurrent Neural Networks, ChatGPT analysis, LLM Benchmarking, and Open AI Strawberry. The course provides hands-on insights into GAN applications, Transformer models, and neural networks essential for Gen AI professionals.

Following are the Topics covered in this Gen AI Full Course 2025 By Simplilearn

00:00:00 Introduction to Gen AI Full Course
00:08:08 What is Artificial Intelligence
00:08:53 What is Generative AI
00:19:32 Roadmap to become a Gen AI Engineer
00:33:07 Gen ai tools for job interview
00:48:31 Open ai chatgpt o1 model
00:50:21 AI Careers to explore
01:04:02 Deep Learning Tutorial
01:12:19 Search GPT Tutorial
01:14:34 Langchain Tutorial
01:37:28 Openai sora Tutorial
02:22:05 Generative Adversarial Tutorial
02:31:27 What are GANS
02:32:28 Transformers in AI
02:44:57 LSTM Tutorial
02:46:21 Large Language Models Tutorial
03:47:34 What is Machine Learning
04:44:06 Machine Learning Tutorial
06:49:29 Reinforcement Learning Tutorial
10:12:12 Recurrent Neural Network Tutorial
10:32:03 ChatGPT analyse Tutorial
10:40:56 LLM Benchmarkeing Tutorial
10:46:38 Open AI Strawberry Tutorial

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

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ IITG AI: Program Induction
✅ IITG AI: Programming Fundamentals
✅ IITG AI: Python for Data Science (IBM)
✅ IITG AI: Applied Data Science with Python
✅ IITG AI: Machine Learning
✅ IITG AI: Deep Learning with TensorFlow (IBM)
✅ IITG AI: Deep Learning Specialization
✅ IITG AI: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ IITG AI: Advanced Generative AI
✅ IITG AI: Capstone
Electives:
✅ IITG AI: ADL & Computer Vision
✅ IITG AI: NLP and Speech Recognition
✅ IITG AI: Reinforcement Learning
✅ IITG AI: Academic Masterclass
✅ IITG AI: Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=exNuMrqjBlE&utm_medium=Lives&utm_source=Youtube

1 Sugar, Sugar - The Archies
2 Aquarius/Let the Sunshine In - The 5th Dimension
3 I Can't Get Next to You - The Temptations
4 Honky Tonk Women - The Rolling Stones
5 Everyday People - Sly & the Family Stone
6 Dizzy - Tommy Roe
7 Hot Fun in the Summertime - Sly & the Family Stone
8 I'll Never Fall in Love Again - Tom Jones
9 Build Me Up Buttercup - The Foundations
10 Crimson and Clover - Tommy James and the Shondells
11 One - Three Dog Night
12 Crystal Blue Persuasion - Tommy James and the Shondells
13 Hair - The Cowsills
14 Too Busy Thinking About My Baby - Marvin Gaye
15 Love Theme from Romeo and Juliet - Henry Mancini
16 Get Together - The Youngbloods
17 Grazing in the Grass - The Friends of Distinction
18 Suspicious Minds - Elvis Presley
19 Proud Mary - Creedence Clearwater Revival
20 What Does It Take (To Win Your Love) - Jr. Walker & The All Stars
21 It's Your Thing - The Isley Brothers
22 Sweet Caroline - Neil Diamond
23 Jean - Oliver
24 Bad Moon Rising - Creedence Clearwater Revival
25 Get Back - The Beatles with Billy Preston
26 In the Year 2525 - Zager & Evans
27 Spinning Wheel - Blood, Sweat & Tears
28 Baby, I Love You - Andy Kim
29 Going in Circles - The Friends of Distinction
30 Hurt So Bad - The Lettermen

Learn LaTeX in this full course for beginners. LaTeX is a typesetting system for creating professional-looking documents, commonly used in academia and scientific publishing, with a focus on content rather than appearance.

✏️ Michelle Krummel created this course. Check out her channel: https://www.youtube.com/michellekrummel

💻 Downloadable .tex files: https://www.dropbox.com/sh/lbr....coezrm7iskfk/AABpWmd
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Overleaf: https://www.overleaf.com/?r=b4398ca7&rm=d&rs=b
TexMaker: https://www.xm1math.net/texmaker/

⌨️ (0:00:00) Creating a LaTeX Document
⌨️ (0:34:34) Common Mathematical Notation
⌨️ (1:09:56) Brackets, Tables, and Arrays
⌨️ (1:51:36) Creating Lists
⌨️ (2:03:29) Text Document Formatting
⌨️ (2:25:58) Packages, Macros, and Graphics
⌨️ (2:56:17) Errors and Debugging
⌨️ (3:18:47) TeXmaker and Overleaf Tips
⌨️ (3:59:38) Calculus Notation

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This Machine Learning tutorial will help you understand why Machine Learning came into the picture, what is Machine Learning, and the types of Machine Learning., Machine Learning algorithms with a detailed explanation on linear regression, decision tree & support vector machine, and at the end you will also see a use case implementation where we classify whether a recipe is of a cupcake or muffin using SVM algorithm.

Dataset Link - https://drive.google.com/drive..../folders/1W7kaFk2vUk

Machine Learning Tutorial Part - 2: https://www.youtube.com/watch?v=_Wkx_447zBM

00:00 - 00:45 Why Machine Learning?
00:45 - 04:52 What is Machine Learning?
04:52 - 11:34 Types of Machine Learning
11:34 - 16:41 Machine Learning Algorithms
16:41 - 25:43 Linear Regression
25:43 - 34:00 Decision Trees
34:00 - 36:02 Support Vector Machine
36:02 - 01:02:40 Use case: Classify whether a recipe is of a cupcake or a muffin using SVM

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What is Machine Learning?
Machine learning is a core sub-area of artificial intelligence; it enables computers to get into a mode of self-learning without being explicitly programmed. When exposed to new data, these computer programs learn, grow, change, and develop by themselves.

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Lightbulbs might be the best idea ever – just not for light. 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.

A huge thanks to David Lovett for showing me his awesome relay and vacuum tube based computers. Check out his YouTube channel @UsagiElectric

▀▀▀
References:
Herring, C., & Nichols, M. H. (1949). Thermionic emission. Reviews of modern physics, 21(2), 185. – https://ve42.co/Herring1949

Goldstine, H. H., & Goldstine, A. (1946). The electronic numerical integrator and computer (eniac). Mathematical Tables and Other Aids to Computation, 2(15), 97-110. – https://ve42.co/ENIAC

Shannon, C. E. (1938). A symbolic analysis of relay and switching circuits. Electrical Engineering, 57(12), 713-723. – https://ve42.co/Shannon38

Boole, G. (1847). The mathematical analysis of logic. Philosophical Library. – https://ve42.co/Boole1847

The world’s first general purpose computer turns 75 – https://ve42.co/ENIAC2

Dylla, H. F., & Corneliussen, S. T. (2005). John Ambrose Fleming and the beginning of electronics. Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films, 23(4), 1244-1251. – https://ve42.co/Dylla2005

Stibitz, G. R. (1980). Early computers. In A History of Computing in the Twentieth Century (pp. 479-483). Academic Press.

ENIAC’s Hydrogen Bomb Calculations – https://ve42.co/ENIAC3


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Written by Petr Lebedev, Derek Muller and Kovi Rose
Edited by Trenton Oliver
Animated by Mike Radjabov, Ivy Tello and Fabio Albertelli
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Additional video/photos supplied by Getty Images & Pond5
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, & Emily Zhang
Thumbnail by Ignat Berbeci

🔥 𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟒 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://edrk.in/xK6MeNj
This Edureka video on "𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟒" video will introduce you to all the popular and trending IT certifications in the market which you should focus on in 2024 to get high paying job. These are the highest-paying certifications that you must bag in order to have a successful career in the year 2024. Let us know your list of Best IT Certifications For 2024 in the comment section below.

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00:00 Introduction to Top 10 Certifications For 2024
00:49 Cybersecurity Certifications
01:55 Cloud & DevOps Certifications
03:27 Project Management Certifications
04:21 Data Science Certifications
05:38 Scrum and Agile Certifications
06:28 Data Engineer Certifications
07:21 Business Intelligence Certifications
08:26 Automation and Testing Certifications
09:24 Full Stack Web Development Certifications
10:22 Digital Marketing Certifications

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Welcome to a captivating journey into the future! In this video, we'll explore the Top 10 Future Technologies that are poised to revolutionize the way we live, work, and interact with the world. From groundbreaking advancements in artificial intelligence to mind-boggling innovations in biotechnology, join us as we unveil the cutting-edge technologies that will shape the next era of human progress. Fasten your seatbelts as we embark on a thrilling exploration of the tech wonders that await us in the not-so-distant future.

00:00 Top 10 Future Technologies For 2024
Edge Computing
Quantum Computing
Artificial Intelligence in Cybersecurity
Blockchain Beyond Cryptocurrency
5G Networks and IoT
Augmented Reality (AR) for Business
Cybersecurity for AI and IoT
Robotic Process Automation (RPA)
Cybersecurity for Quantum Computing
Artificial General Intelligence (AGI)

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2024 brings focused cybersecurity for AI and IoT integration. Solutions will safeguard against AI algorithm vulnerabilities and protect IoT ecosystems from potential cyber threats.
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Bronze to Robotic Process Automation (RPA), the 2024 IT game-changer. It automates tasks, letting employees focus on creative work. RPA bots handle data entry to customer service, boosting efficiency across industries.

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At 2, cybersecurity adapts to quantum threats in 2024. Quantum-safe encryption and protocols emerge to safeguard data in the quantum computing era, countering the risk posed by traditional encryption vulnerabilities.

- Artificial General Intelligence (AGI)
2024's game-changer is Artificial General Intelligence (AGI). Revolutionizing industries from healthcare to finance, AGI automates complex decision-making, representing a monumental leap beyond specialized AI. Integration into various sectors, from healthcare diagnostics to financial analysis, is on the horizon.
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐇𝐚𝐝𝐨𝐨𝐩 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/big-dat....a-hadoop-training-ce (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Big Data Hadoop Tutorial For Beginners video will help you understand and learn Hadoop concepts in detail. This Big Data Hadoop Tutorial is ideal for both beginners as well as professionals who want to get started with the Hadoop Ecosystem.

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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Можно ли одной рукой поднять над головой гриф с диском весом 20 кг на конце? Если вы невероятно сильный, то можно. А если вы Дерек Маллер, то этот диск придется сначала очень быстро раскрутить.

Ответ: https://youtu.be/FasivFKE0Tc
Гироскопическая прецессия: https://youtu.be/uMQ85tOPSO4

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
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Обложка: Андрей Гавриков

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With their ability to generate human-like language and complete a variety of tasks, generative AI has the potential to revolutionise the way we communicate, learn and work. But what other doors will this technology open for us, and how can we harness it to make great leaps in technology innovation? Have we finally done it? Have we cracked AI?
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This KNN Algorithm in Machine Learningtutorial will help you understand what is KNN, why do we need KNN, and how KNN algorithm works using Python. You will learn how do we choose the factor 'K', when do we use KNN, with proper hands on demonstration to predict whether a person will have diabetes or not, using the KNN algorithm.

Below topics are explained in this K-Nearest Neighbor Algorithm (KNN Algorithm) tutorial:
00:00 Introduction to KNN(K Nearest Neighbor)
00:57 Why do we need KNN?
02:33 What is KNN?
03:51 How do we choose the factor 'K'?
05:46 When do we use KNN?
06:42 How does the KNN algorithm work?
09:19 Use case - Predict whether a person will have diabetes or not?


Dataset Link - https://drive.google.com/drive..../folders/1YylTjWxmkU

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When Do We Use the KNN Algorithm?
The KNN algorithm is used in the following scenarios:
✅Data is labeled
✅Data is noise-free
✅Dataset is small, as KNN is a lazy learner

Pros and Cons of Using KNN
✅Pros: Since the KNN algorithm requires no training before making predictions, new data can be added seamlessly, which will not impact the accuracy of the algorithm.
KNN is very easy to implement. There are only two parameters required to implement KNN—the value of K and the distance function (e.g. Euclidean, Manhattan, etc.)
✅Cons: The KNN algorithm does not work well with large datasets. The cost of calculating the distance between the new point and each existing point is huge, which degrades performance.
Feature scaling (standardization and normalization) is required before applying the KNN algorithm to any dataset. Otherwise, KNN may generate wrong predictions.

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