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Generative AI
23 Views · 2 years ago

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This Machine Learning vs Deep Learning vs Artificial Intelligence video will help you understand the differences between ML, DL, and AI, and how they are related to each other. The tutorial video will also cover what Machine Learning, Deep Learning, and Artificial Intelligence entail, how they work with the help of examples, and whether they really are all that different.

This Machine Learning Vs Deep Learning Vs Artificial Intelligence video will explain the topics listed below:
Start (0:00)
1. Artificial Intelligence example ( 00:29 )
2. Machine Learning example ( 01:29 )
3. Deep Learning example ( 01:44 )
4. Human vs Artificial Intelligence ( 03:34 )
5. How Machine Learning works ( 06:11 )
6. How Deep Learning works ( 07:09 )
7. AI vs Machine Learning vs Deep Learning ( 12:33 )
8. AI with Machine Learning and Deep Learning ( 13:05 )
9. Real-life examples ( 15:29 )
10. Types of Artificial Intelligence ( 17:50 )
11. Types of Machine Learning ( 20:32 )
12. Comparing Machine Learning and Deep Learning ( 22:46 )
13. A glimpse into the future ( 25:46 )

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

📚ML vs DL vs AI Article: https://bit.ly/3fh6HIP

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You can also go through the Slides here: https://goo.gl/cdQ7uy

#SimplilearnMachineLearning #SimplilearnAI #SimplilearnDeepLearning #Artificialintelligence #MachineLearningTutorial

➡️ 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.

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- Post Graduate Program certificate and Alumni Association membership
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👉 Learn More At:




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Machine Learning
13 Views · 2 years ago

"🔥Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai?

🔥Google I/O 2024, the annual developer conference held by Google, delivered a multitude of groundbreaking announcements and innovative advancements that are set to shape the future of technology. Held virtually and in-person, this year's event was a blend of immersive experiences, keynote presentations, and hands-on demos that captivated the global tech community. Do watch this video to know the key highlights from Google I/O 2024.

✅ 00:00 - Google I/O 2024
✅ 01:36 - GOOGLE WORKSPACE WITH GEMINI 1.5 Pro
✅ 02:14 - GOOGLE PHOTOS
✅ 03:24 - AI AGENTS
✅ 03:41 - PROJECT ASTRA
✅ 04:31 - Gemini 1.5 Flash
✅ 05:03 - VEO
✅ 05:16 - Google Search with AI
✅ 05:56 - Gems in Gemini 1.5 pro
✅ 06:25 - AI IN ANDROID
✅ 06:47 - Gemma Open Models
✅ 07:14 - Responsible AI


"
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- - - - - - - - - - - - - -

What is Generative AI?

Generative AI is a branch of artificial intelligence that focuses on producing or creating fresh content, such as images, text, audio, or even videos, that closely resembles data generated by humans. In contrast to conventional AI models that learn to identify patterns or make decisions based on existing data (discriminative models), generative AI models are trained to produce new data that mirrors the original training data.
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What is Prompt Engineering?‎
Prompt engineering involves optimizing artificial intelligence engineering for multiple purposes. It includes refining large language models (LLMs) using specific prompts and recommended outputs. Additionally, it focuses on enhancing input to different generative AI services to make text or images. With advancements in generative AI tools, prompt engineering becomes crucial for generating diverse content, such as robotic process automation bots, 3D assets, scripts, robot instructions, and various digital artifacts.
How can I get started with Generative AI?
- - - - - - - - - - - - - -
To get started with Introduction to Generative AI, you can:
Enroll in the Introduction to Generative AI Learning Path course.
Read research papers and books on Generative AI.
Experiment with open-source code repositories and frameworks.
Join online communities and forums to learn from others and seek advice.

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

Generative AI
13 Views · 9 months ago

MIT 3.020 Thermodynamics of Materials, Spring 2021
Instructor: Rafael Jaramillo

View the complete course: https://ocw.mit.edu/courses/3-....020-thermodynamics-o
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This first class session introduces entropy and spontaneous processes, molecular interactions, and enthalpy, as well as the scope and use of thermodynamics.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

Generative AI
10 Views · 2 months ago

This course, from Rola Dali, PhD, provides a comprehensive overview of agentic AI, defining agents as software entities that use LLMs to perceive environments, make decisions, and execute actions to achieve specific goals. It explores the critical distinction between static workflows and dynamic agentic systems, emphasizing how LLMs serve as a reasoning "brain" to decompose tasks at runtime. Through practical Python demonstrations, the course covers essential components like system prompts, tools, and memory, while also comparing architectural patterns such as Supervisor and Swarm. Finally, the session addresses the future of technology by discussing emerging interoperability protocols like MCP and the shifting paradigms of software development in an AI-driven world.

Slides and Labs: https://github.com/rdali/ML105_Agents

Profile: https://www.linkedin.com/in/roladali/

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

⭐️ Contents ⭐️
- 0:00:00 Introduction and Speaker Background
- 0:01:15 A Brief History of Artificial Intelligence (1940s–Present)
- 0:05:43 Traditional Machine Learning vs. Generative AI
- 0:06:35 The Three Pillars of AI: Algorithms, Data, and Compute
- 0:11:08 Specific Tasks vs. General Task Execution
- 0:14:41 Defining Agency and the Spectrum of Autonomy
- 0:18:00 Agentic Milestone Timeline (2017–2026)
- 0:20:31 What is a Generative AI Agent?
- 0:23:04 Agents vs. Workflows: Dynamic Flow vs. Static Paths
- 0:26:18 Pros and Cons of Agentic Systems
- 0:29:59 Patterns and Anti-patterns: When to Use Agents
- 0:32:36 The Core Components of an Agent
- 0:34:55 Choosing the Right LLM for Your Agent
- 0:37:38 Crafting Identity with System Prompts
- 0:39:00 Understanding Memory: Intrinsic, Short-term, and Long-term
- 0:41:26 Enhancing Capabilities with Tools and Actions
- 0:43:09 Hands-on Implementation: From Single LLM Call to Python Agent
- 0:52:18 Adding Memory and History to Your Custom Agent
- 0:54:53 Building Agents with Frameworks (LangChain)
- 0:57:17 The Evolving Landscape of Models and Frameworks
- 1:00:15 Agentic Architectural Patterns: Supervisor vs. Swarm
- 1:01:41 Case Study: Single Agent vs. Supervisor Architecture
- 1:04:48 Deep Dive: Swarm Architecture Performance
- 1:06:08 When to Choose Multi-agent Systems
- 1:09:05 Interface Protocols: MCP, A2A, and AGUI
- 1:12:06 How to Evaluate Agentic Systems (LLM vs. System vs. App)
- 1:13:53 Evaluation Methods: Code-based, LLM-as-a-Judge, and Human
- 1:15:25 Current Challenges: Hallucinations, Cost, and Debugging
- 1:18:15 Real-world Incidents and the AI Incident Database
- 1:21:28 Career Impact: Which Jobs are Most at Risk?
- 1:23:41 Software 3.0: The Evolution of Development Paradigms
- 1:29:00 Weathering the Storm: Strategies for the Future
- 1:33:40 Beyond LLMs: World Models and the Future of AMI
- 1:37:15 Recommended Resources and Closing Thoughts

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Machine Learning
10 Views · 2 months ago

In this step-by-step tutorial, I'll show you how to create a powerful AI agent using Microsoft Copilot Studio in Microsoft Copilot 365, with absolutely no code required! This is Part 1 of our AI agent series with Microsoft Copilot Studio.

We'll build "PoochPal," a friendly AI assistant for our demo dog grooming business, "Pooch Haven Spa." You'll learn how to train your bot with your own website data and documents, customize its personality, and set rules for how it responds to customers.

➡️ Watch Part 2: https://youtu.be/sBapFKSwJ6Q
➡️ Learn more about M365 Copilot: https://youtu.be/j5xQn8Pi_Gw

In this video, you'll learn:
🔹 The difference between Copilot Studio in M365 and the full Copilot Studio.
🔹 How to create your first AI agent with a simple prompt.
🔹 How to add knowledge sources like websites and documents (PDF, Word).
🔹 How to customize your agent's icon, tone, and instructions.
🔹 How to test your AI bot to ensure it's accurate and helpful

0:00 Intro: Build Your Own AI Bot
0:45 Accessing Microsoft 365 Copilot
1:31 Difference between Copilot Studio in M365 vs. Copilot Studio
2:03 Create Your First AI Agent with a Simple Prompt
3:20 Add a custom icon to your agent
4:10 Customize Your Agent's Personality & Rules
5:02 Add Knowledge Sources (Websites & Documents)
6:17 Adjust agent capabilities and suggested prompts
6:48 Test Your AI Bot for Accuracy
7:56 Publish and share your agent

Generative AI
2,130,501 Views · 4 years ago

The third iteration of my attempts at upscaling this game's cutscenes, featuring a new frame interpolation model that's MUCH better than Twixtor Pro (That ACTUALLY INTERPOLATES FRAMES instead of doing a 50% opacity merge then giving up).
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Become a member! (If you want): https://www.youtube.com/channe....l/UCngaLL0QDbsAGYj7z
Check out my Patreon! https://www.patreon.com/DyllonStej
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Twitter: https://www.twitter.com/DStejGaming
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Generative AI
3,733 Views · 3 years ago

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What is data structure?
The data structure aims to store the elements in a way that allows it to perform a specified activity. It requires the least amount of memory capacity, allows for faster execution, and aids in data organization to improve accessibility. Data structures are the most convenient way to handle, retrieve, store, and organize data.

What is an Algorithm?
The algorithm is a step-by-step procedure or set of instructions to be followed to perform certain tasks.

What is a pointer?
A pointer is a variable that holds the address of another variable to be executed which can be of data type int, char, array, etc…

What is an Array?
An array is a homogenous collection of elements of the same data type; That means similar types of elements are stored under one name called an array name. And also the array of elements, stored in a consecutive block of memory.

What is a linked list?
A linked List is a linear data structure consisting of nodes. Each node in a linked list is divided into two sections that hold data and the address of the successive node, stored at the random address in the memory.

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Generative AI
2,963 Views · 3 years ago

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00:34:53 What is Scrum?
01:10:23 Agile Scrum Master
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03:12:31 How to Become a Certified Scrum Master

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Generative AI
3,937 Views · 3 years ago

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his lecture on learning theory by discussing VC dimension and model selection.

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
1,595 Views · 3 years ago

🔥Enroll for Free Cyber Security Course & Get Your Completion Certificate: https://www.simplilearn.com/learn-cyber-security-basics-skillup?utm_campaign=Top5CyberSecuritySkillsShorts&utm_medium=ShortsDescription&utm_source=youtube

This Simplilearn video will acquaint you with the top 5 cybersecurity skills that will help you get into the field of cybersecurity. Today, a cybersecurity career is highly promising. Let's begin this cybersecurity shorts video!

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What Is Cyber Security?
Cyber Security involves techniques that help in securing various digital components, networks, data, and computer systems, from unauthorized digital access. There are several ways to implement cybersecurity, depending on the kind of network you are connected to and the type of cyberattacks you are prone to. A few ways to implement cybersecurity are defining clear boundaries, using network security control devices like Firewalls and IDS.


Post Graduate Program in Cyber Security:
This Post Graduate Program in Cyber Security is designed to equip you with the skills required to become an expert in the rapidly growing field of Cyber Security. This cyber security course aims to help you stay abreast all the latest trends in cyber security as well. This Post Graduate Program in Cyber Security will help you learn comprehensive approaches to protecting your infrastructure and securing your data, including risk analysis and mitigation, cloud-based security, and compliance. You will receive foundational to advanced security skills through industry-leading certification courses that are part of the program.


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✅ Simplilearn Post Graduate Certificate
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✅ Capstone project in 3 domains
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Generative AI
14 Views · 3 years ago

*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️
🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=PowerBIFullCourseFeb6&utm_medium=DescriptionFirstFold&utm_source=youtube
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🔥Data Analyst Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=PowerBIFullCourseFeb6&utm_medium=DescriptionFirstFold&utm_source=youtube
This video, " Power BI Full Course 2023" by Simplilearn, will help you learn the basics of Power BI and the reasons to learn it. In this Power BI tutorial for beginners, you will understand the different components of Power BI, how to use Dax functions to derive value from your data, and how to publish dashboards on to the power bi service.
Below are the topics we will be discussing in this Power BI Course:

00:00:00 Introduction to Power BI
00:05:00 What is Power BI
00:05:20 Why Power BI?
00:06:23 Features of Power BI
00:07:48 Componentsof Power Bi
00:09:30 Power Bi Service
00:10:48 Power Bi Dashboard
00:11:50 Power Bi Architecture
00:12:25 Power Bi Use case
00:34:00 How to become a Business analyst
00:34:14 Who is a business analyst
00:34:35 Roles and responsibilities of a business analyst
00:37:00 Business analyst skills
00:41:10 Business Analyst Roadmap
00:42:30 Salary of a business analyst
00:43:00 Companies hiring Business analyst
00:48:50 Connecting data sources
00:57:00 Data Models in Power Bi
01:03:10 DAX functions
01:05:39 Types of DAX Functions
01:06:04 Project in Power Bi
05:05:00 Power BI Dashboard

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

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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.

✅ 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.
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- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered

- Data Analytics
- Statistical Analysis using Excel
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- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
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👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=PowerBIFullCourseFeb6&utm_medium=Description&utm_source=youtube
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Generative AI
16 Views · 3 years ago

Improve your cybersecurity and Linux skills by solving challenges in the Bandit Wargame from OverTheWire. This video is a walk through of how to solve the challenges—but make sure to try each on your own before watching the solution!

🔗 Start the game here: https://overthewire.org/wargames/bandit/

✏️ Tutorial from Sabyasachi Paul. Check out his channel: https://www.youtube.com/channe....l/UCF6DLMsBz6AdX4Wk1
🔗 Sabyasachi's Linktree: https://linktr.ee/h0tPlug1n

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:02:11) Level 0
⌨️ (0:04:06) Level 0 - Level 1
⌨️ (0:05:11) Level 1 - Level 2
⌨️ (0:06:18) Level 2 - Level 3
⌨️ (0:07:56) Level 3 - Level 4
⌨️ (0:09:11) Level 4 - Level 5
⌨️ (0:11:57) Level 5 - Level 6
⌨️ (0:14:51) Level 6 - Level 7
⌨️ (0:17:06) Level 7 - Level 8
⌨️ (0:18:37) Level 8 - Level 9
⌨️ (0:21:08) Level 9 - Level 10
⌨️ (0:22:45) Level 10 - Level 11
⌨️ (0:24:10) Level 11 - Level 12
⌨️ (0:27:11) Level 12 - Level 13
⌨️ (0:35:22) Level 13 - Level 14
⌨️ (0:37:01) Level 14 - Level 15
⌨️ (0:38:45) Level 15 - Level 16
⌨️ (0:41:35) Level 16 - Level 17
⌨️ (0:50:46) Level 17 - Level 18
⌨️ (0:53:07) Level 18 - Level 19
⌨️ (0:55:28) Level 19 - Level 20
⌨️ (0:58:23) Level 20 - Level 21
⌨️ (1:02:33) Level 21 - Level 22
⌨️ (1:07:47) Level 22 - Level 23
⌨️ (1:11:54) Level 23 - Level 24
⌨️ (1:26:39) Level 24 - Level 25
⌨️ (1:32:53) Level 25 - Level 26
⌨️ (1:43:25) Level 26 - Level 27
⌨️ (1:47:18) Level 27 - Level 28
⌨️ (1:52:10) Level 28 - Level 29
⌨️ (1:56:36) Level 29 - Level 30
⌨️ (2:00:17) Level 30 - Level 31
⌨️ (2:05:31) Level 31 - Level 32
⌨️ (2:10:34) Level 32 - Level 33
⌨️ (2:14:45) Level 33 - Level 34

🎉 Thanks to our Champion and Sponsor supporters:
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Machine Learning
13 Views · 3 years ago

국소적으로 낮은 엔트로피 수준을 가진 시스템에 저장되었다가 높은 엔트로피 수준으로 퍼져간다는 표현이 좀 더 정확할 테지만 이해를 위해 쉽게 풀었습니다.

One of the most important, yet least understood, concepts in all of physics. 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.

If you're looking for a molecular modeling kit, try Snatoms - a kit I invented where the atoms snap together magnetically: https://snatoms.com

▀▀▀
A huge thank you to those who helped us understand different aspects of this complicated topic - Dr. Ashmeet Singh, Supriya Krishnamurthy, Dr. Jos Thijssen, Dr. Bijoy Bera, Dr. Timon Idema, Álvaro Bermejillo Seco and Dr. Misha Titov.

▀▀▀
References:
Carnot, S. (1824). Reflections on the motive power of heat: and on machines fitted to develop that power. - https://ve42.co/Carnot1890

Harnessing The True Power Of Atoms | Order And Disorder Documentaries, Spark via YouTube - https://ve42.co/OrderDisorder

A better description of entropy, Steve Mould via YouTube - https://ve42.co/Mould2016

Dugdale, J. S. (1996). Entropy and its physical meaning. CRC Press. - https://ve42.co/Dugdale1996

Schroeder, D. V. (1999). An introduction to thermal physics. - https://ve42.co/Schroeder2021

Fowler, M. Heat Engines: the Carnot Cycle, University of Virginia. - https://ve42.co/Fowler2023

Chandler, D.L. (2010). Explained: The Carnot Limit, MIT News - https://ve42.co/Chandler2010

Entropy, Wikipedia - https://ve42.co/EntropyWiki

Clausius, R. (1867). The mechanical theory of heat. Van Voorst. - https://ve42.co/Clausius1867

What is entropy? TED-Ed via YouTube - https://ve42.co/Phillips2017

Thijssen, J. (2018) Lecture Notes Statistical Physics, TU Delft.

Schneider, E. D., & Kay, J. J. (1994). Life as a manifestation of the second law of thermodynamics. Mathematical and computer modelling, 19(6-8), 25-48. - https://ve42.co/Schneider1994

Lineweaver, C. H., & Egan, C. A. (2008). Life, gravity and the second law of thermodynamics. Physics of Life Reviews, 5(4), 225-242. - https://ve42.co/Lineweaver2008

Michaelian, K. (2012). HESS Opinions" Biological catalysis of the hydrological cycle: life's thermodynamic function". Hydrology and Earth System Sciences, 16(8), 2629-2645. - https://ve42.co/Michaelian2012

England, J. L. (2013). Statistical physics of self-replication. The Journal of chemical physics, 139(12), 09B623_1. - https://ve42.co/England2013

England, J. L. (2015). Dissipative adaptation in driven self-assembly. Nature nanotechnology, 10(11), 919-923. - https://ve42.co/England2015

Wolchover, N. (2014). A New Physics Theory of Life, Quantamagazine - https://ve42.co/Wolchover2014

Lineweaver, C. H. (2013). The entropy of the universe and the maximum entropy production principle. In Beyond the Second Law: Entropy Production and Non-equilibrium Systems (pp. 415-427). Berlin, Heidelberg: Springer Berlin Heidelberg. - https://ve42.co/LineweaverEntropy

Bekenstein, J.D. (1972). Black holes and the second law. Lett. Nuovo Cimento 4, 737–740. - https://ve42.co/Bekenstein1972

Carroll, S.M. (2022). The Biggest Ideas in the Universe: Space, Time, and Motion. Penguin Publishing Group. - https://ve42.co/Carroll2022

Black hole thermodynamics, Wikipedia - https://ve42.co/BlackHoleTD

Cosmology and the arrow of time: Sean Carroll at TEDxCaltech, TEDx Talks via YouTube - https://ve42.co/CarrollTEDx

Carroll, S. M. (2008). The cosmic origins of time’s arrow. Scientific American, 298(6), 48-57. - https://ve42.co/Carroll2008

The Passage of Time and the Meaning of Life | Sean Carroll (Talk + Q&A), Long Now Foundation via YouTube - https://ve42.co/CarrollLNF

▀▀▀
Special thanks to our Patreon supporters:
Emil Abu Milad, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., john kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Sam Lutfi.

▀▀▀
Written by Casper Mebius, Derek Muller & Petr Lebedev
Edited by Trenton Oliver & Jamie MacLeod
Animated by Mike Radjabov, Ivy Tello, Fabio Albertelli and Jakub Misiek
Filmed by Derek Muller, Albert Leung & Raquel Nuno
Molecular collisions video by CSIRO's Data61 via YouTube: Simulation of air
Additional video/photos supplied by Getty Images, Pond5 and by courtesy of NASA, NASA's Goddard Space Flight Center, NASA Goddard Flight Lab/ CI Lab, NASA/SDO and the AIA, EVE, HMI, and WMAP science teams. As well as the Advanced Visualization Laboratory at the National Center for Supercomputing Applications, B. Robertson, L. Hernquist
Music from Epidemic Sound & Jonny Hyman
Produced by Derek Muller, Petr Lebedev, Emily Zhang, & Casper Mebius

Machine Learning
13 Views · 2 years ago

🔥Edureka AWS Training: https://www.edureka.co/aws-certification-training
This Edureka video on "Deploy an ML Model using Amazon Sagemaker" discusses what is Amazon Sagemaker and how you can build, train and deploy your Machine Learning Models in Amazon Sagemaker. These are the topics covered in the AWS Machine Learning Tutorial video:
00:00:00 Introduction
00:01:14 What is Amazon Sagemaker?
00:04:21 Create your AWS Account
00:06:46 Create your First Notebook Instance
00:17:39 Train your Model on AWS
00:24:37 Deploy your Model on AWS
00:26:33 Evaluate your Model on AWS
00:29:03 AWS SageMaker Case Study: Grammarly

🔹Check Edureka's complete DevOps playlist here: http://goo.gl/O2vo13
🔹Check Edureka's Blog playlist here: https://bit.ly/3gfNuZr

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#Edureka #DeployAnMlModelUsingAmazonSagemaker #AWSTutorial #AWSCertification #AWSTraining #AWSMachineLearning #AWSMLDeployment #MachineLearningOnCloud #CloudComputing #AWS
--------------------------------------------------------------------------------------------
How it Works?
1. This is a 5 Week Instructor led Online Course.
2. Course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. 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.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

- - - - - - - - - - - - - -
About the Course

AWS Architect Certification Training from Edureka is designed to provide in depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.

During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services : EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS

Course Objectives

On completion of the AWS Architect Certification training, learner will be able to:
1. Design and deploy scalable, highly available, and fault tolerant systems on AWS
2. Understand lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms

Pre-requisites

There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.

If you are looking for live online training, write back to us at [email protected] or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.




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