🔥AWS Training: https://www.edureka.co/aws-certification-training
This Edureka Live tutorial on ‘AWS Machine Learning Tutorial’ will introduce you to the nitty-gritty of Cloud Computing, Machine Learning and help you build an ML model using AWS.

🔹Amazon AWS Video Tutorial Playlist https://goo.gl/9fQX6J

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

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


How it Works?
1. This is a 5 Week Instructor led Online Course.
2. The 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, a 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

Who should go for this course?

This course is designed for students and IT professionals who want to pursue a career in Cloud Computing. The course is the best fit for:
1. Professionals interested in managing highly-available and fault-tolerant enterprise and web-scale software deployments.
2. Professionals who want Project Experience in migrating and deploying cloud-based solutions.
3. DevOps professionals.

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.

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

Are you confused about What are Large Language models (LLMs)?
Which LLM to use according to your problem statement?
Which LLM is affordable and Which LLM is Open Source?
What are Top LLMs in Market today 2023?

Then this video is your solution!, Join me on an exciting journey into the world of Large Language Models (LLMs) and their impact on Artificial Intelligence. In this video, we delve deep into the capabilities of cutting-edge LLMs, their applications in Generative AI, and how they are transforming the fields of Content Generation, Software Development, Data Science, and many more domains. Discover the power of language generation, natural language processing, and creative AI. Stay up-to-date with the latest advancements in AI and explore the endless possibilities with Large Language Models. Don't miss this opportunity to expand your knowledge and explore the limitless potential of AI-driven language technologies.

🚀 Follow me on Medium for the latest blogs and projects - https://bit.ly/3JGXqwc

🗂️ To get the Source Code, Follow me on GitHub - https://bit.ly/3gg07Uc
🔖 Book your call with me at topmate.io and learn how to harness the latest technologies' power and speed up your learning process.
📲 Book your call at - https://bit.ly/43TLDCD

🤖 Playlists that make you skilled up -
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Chat GPT for Programming by simplilearn is dedicated for aspiring software developers and web developers to understand the fundamentals of Programming Using ChatGPT. This ChatGPT For Beginners by simplilearn, is a roadmap for creating a compelling YouTube description for a channel focused on programming with ChatGPT can enhance your visibility and engagement.

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

#ChatGPTForProgramming #Coding #ChatGPT #ChatGPT4 #ChatGPTTutorial #OpenAI #AI #Simplilearn

⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

➡️ 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
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- And Many More…

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

High Quality HDR 12K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 16k sensor and one of the sharpest lenses in the world Zeiss Otus set in addition of HDR brings image to life! You can use this collection of Hight Resolution clips in your Tv For The Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG Qled TV, Samsung Oled TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation and more.

⭐ Note: To view at 8K 60P you will need to use Chrome & opera.
⭐All Videos was shot, edited & color graded by me.
THESE 8K VIDEOS ARE FOR TV'S FOR DEMO AND TEST THE QUALITY OF ALL 8K TV'S.
⭐I have done High color correction, Color changing, Raw Videos editing, HDR color Setting, merge files & 8K Export file etc.

Editing Video by
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This video created for entertainment informative, educational purposes and Film & Animation.

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Copyright
🎦 All The footage Was Edited And Color Corrected By Me.
🎦 Video Footage Copyright Under License.

( Galineers Cob Horse, Malagasy giant chameleon, Sri Lankan axis deer, Common mormon, Macaw, wild tiger, horse, monkey, Northern goshawk, Steller's sea eagle & Beagle Dog )

All other rights reserved.



#12khdr #DolbyVision #60fps

Can a computer really think like a human? It can at least try, with deep learning. Watch to learn what deep learning is and how it works.

Deep learning, also known as deep neural networking, is a type of machine learning and artificial intelligence that imitates the way humans gain knowledge. Computers are able to "learn" to recognize and identify abstract objects, sometimes in the same manner as humans. Deep learning can be thought of as automated predictive analytics. Unlike traditional machine learning, deep learning algorithms are stacked in a hierarchy that increases in complexity.

Deep learning comes in handy especially for data scientists, who are tasked with collecting, analyzing, and interpreting large amounts of data. It can also be used for image recognition tools, natural language processing, and speech software. Deep learning has been implemented in a variety of fields from businesses to medical research to industrial factories, even to the military.

Does your business utilize deep learning? Let us know in the comments and be sure to give this video a like.


Read more about deep learning: https://searchenterpriseai.techtarget.com/definition/deep-learning-deep-neural-network/?utm_source=youtube&utm_medium=description&utm_campaign=bDAyquF-BrQ&offer=video-bDAyquF-BrQ

Subscribe to Eye on Tech for more videos covering the latest in business technology, including security, networking, AI, DevOps, enterprise strategy, storage, devices and more:
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#DeepLearning #MachineLearning #AI #EyeOnTech

What if you want to leverage the power of GPT-3, but don't want to wait for Open-AI to approve your application? Introducing GPT-Neo, an open-source Transformer model that resembles GPT-3 both in terms of design and performance.In this video, we'll discuss how to implement and train GPT-Neo with just a few lines of code.

We'll use Happy Transformer to implement GPT-Neo. Happy Transformer is an open-source Python library build on top of Hugging Face's Transformer library to allow programmers to implement state-of-the-art NLP models with just a few lines of code.

Thank you Eleuther AI for creating and training GPT-Neo.

New Course on how to create a web app to display GPT-Neo: https://www.udemy.com/course/n....lp-text-generation-p

Article: https://www.vennify.ai/gpt-neo-made-easy/

Colab: https://colab.research.google.....com/drive/1Bg3hnPOoy

Website: https://www.vennify.ai/

LinkedIn business: www.linkedin.com/company/69285475

LinkedIn personal: https://www.linkedin.com/in/ericfillion/

Support Happy Transformer by giving it a star: https://github.com/EricFillion/happy-transformer

Happy Transformer's website: https://happytransformer.com/

Read my latest content, support me, and get a full membership to Medium by signing up to Medium with this link: https://medium.com/@ericfillion/membership

Music: www.bensound.com

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞 : https://www.edureka.co/data-sc....ience-python-certifi (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
Every domain today leverages Data Science and its findings to further its cause. Therefore, it is very important to understand what is Data Science and how can it add value to your business, hence, the future of this technology and professionals associated with it.
Following are the topics covered in this session:
Introduction to Data Science
Applications of Data Science
Getting a Job in Data Science
Meeting the Requirement
Scope of Data Science

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

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🌕 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
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#statistics #statisticsfordatascience #datascience #edureka

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).

** RPA Training: https://www.edureka.co/robotic....-process-automation- **
This session on UiPath Studio will give you an overview of UiPath Studio and its components.
Below are the topics covered in the video:
1:00 What is RPA?
3:05 RPA Tools
3:35 Introduction To UiPath Studio
4:09 UiPath Studio Installation
6:35 Projects in UiPath
10:47 UiPath Studio Components
11:32 Ribbon Components
21:03 Activity Components
25:13 Demo

RPA Playlist: https://bit.ly/2B53HLe
RPA Blog Series: https://bit.ly/2Ay1bzG

Subscribe to our Edureka YouTube channel to get video updates: https://goo.gl/6ohpTV

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Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

How does it work?

1. This is a 4 Week Instructor-led Online Course, 25 hours of assignment and 20 hours of project work
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 have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate!

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About the Robotic Process Automation Course

Edureka’s RPA training helps you to understand the concepts around Robotic Process Automation using the leading RPA tool named ‘UiPath’. Robotic Process Automation is the automation of repetitive and rules-based human tasks working with the software applications at the presentation/UI level i.e. no software integrations are needed at middleware, server or database levels. In this course, you will learn about the RPA concepts and will gain in-depth knowledge on UiPath tool using which you will be able to automate real-world processes at the enterprise level such as Insurance Claims Processing, Accounts Payable / Purchase Orders Processing, Invoice Processing, Complaints Management, Customer Feedback Analysis, Employee Onboarding, Compliance Reporting, and many more.

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

What are the Objectives of our Robotic Process AutomationTraining?

After completing this course, you will be able to:

1. Know about Robotics Process Automation and their working
2. Assess the key considerations while designing an RPA solution
3. Work proficiently with the leading RPA tool ‘UiPath
4. Have practical knowledge on designing RPA solutions using UiPath
5. Perform Image and Text automation
6. Learn Data Manipulation using variables and arguments
7. Create automation with applications running in Virtual Environments
8. Debug and handle exceptions in workflow automation

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Why learn Robotic Process Automation?

Robotic Process Automation (RPA) is an automation technology for making smart software by applying intelligence to do high volume and repeatable tasks that are time-consuming. RPA is automating the tasks of a wide variety of industries, hence reducing the time and increasing the output.
Some of the facts about RPA include:

1. A 2016 report by McKinsey and Co. predicts that the robotic process automation market could be worth $6.7 trillion by 2025
2. A major global wine business, after implementing RPA, increased the order accuracy from 98% to 99.7% while costs reduced to Rs. 5.2 Crore
3. A global dairy company used RPA to automate the processing and validation of delivery claims, reduced goodwill write-offs by Rs. 464 Million

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What are the pre-requisites for this course?

To master the concept of RPA, you need to have a basic understanding of :

1.Basic programming knowledge of using if/else and switch conditions
2.Logical thinking ability

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).

Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on expectation-maximization in the context of the mixture of Gaussian and naive Bayes models, as well as factor analysis and digression.

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

🔥 Become A Data Scientist Today: https://taplink.cc/simplilearn_data_science

Data Science Course 2023 by simplilearn is dedicated to help aspiring data scientists with Data Science Full Course for Beginners 2023 that covers the major technical and theorotical data science concepts along side practical demonstrations to get a good learning experience. This Simplilearn video covers the following:

00:00:00 Data Science In 5 Minutes
00:04:14 Data Science Roadmap 2023
00:11:51 Data Science Life Cycle
00:28:53 Top 10 Data Science Certifications for 2022
00:40:40 Data Science Tutorial
01:22:35 AI vs ML vs DL vs Data Science - Difference Explained
01:28:46 Data Science With Python
02:21:50 Top 5 Python Libraries For Data Science
02:36:56 R Programming For Beginners
02:52:07 Statistics For Data Science
03:11:58 Probability Density Function With Example
03:35:49 Data Visualization In R
04:08:52 Population And Sample In Statistics Example
04:15:48 Types Of Distribution In Statistics
04:39:52 Mean Squared Error
04:44:40 Machine Learning Algorithms
05:54:10 Skewness And Kurtosis And Moments
05:59:18 Random Forest Algorithm - Random Forest Explained
06:43:20 Naive Bayes Classifier
07:24:45 Support Vector Machine - How Support Vector Machine Works
07:50:13 Bayes Theorem
07:54:59 What Is Anova?
08:02:27 What Is Correlation?
08:05:43 Types of Correlation
08:09:41 Correlation vs Regression
08:16:27 Data Science Interview Questions

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

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➡️ About Caltech Post Graduate Program In Data Science
This Post Graduation in Data Science leverages the superiority of Caltech's academic eminence. The Data Science program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Caltech PG program in Data Science completion certificate
- Earn up to 14 CEUs from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle membership
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Amazon, Walmart, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- Simplilearn’s Career Assistance to help you get noticed by top hiring companies
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
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NASA have made a wheel capable of withstanding tough Martian terrain, but just how indestructible is it? Head to https://hensonshaving.com/veritasium and enter code 'Veritasium' for 100 free blades with the purchase of a razor. Make sure to add both the razor and the blades to your cart for the code to take effect.

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A huge thanks to everyone at NASA Glenn Research Center for having us at the SLOPE Lab, showing their work on this indestructible tire, and helping with the science and animation.
A huge thanks to everyone at Smart Tire Co for showing us around their facility, teaching us about nitinol, and letting us flatten their tires.

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References:

Steel Rod Footage - https://ve42.co/SteelRod

H. Föll. 8.4.1 - Martensite. University of Kiel, Faculty of Engineering - https://ve42.co/Foell

Bhattacharya, K. (1998). Theory of martensitic microstructure and the shape-memory effect - https://ve42.co/Bhattacharya1998

Bhattacharya, K. (2003). Microstructure of martensite: why it forms and how it gives rise to the shape-memory effect (Vol. 2). Oxford University Press. - https://ve42.co/MartensiteBook

Shaw, J. A. (2008). Tips and tricks for characterizing shape memory alloy wire: part 1—differential scanning calorimetry and basic phenomena. Experimental Techniques - https://ve42.co/Shaw2008

Buehler, W. J., Gilfrich, J. V., & Wiley, R. C. (1963). Effect of low‐temperature phase changes on the mechanical properties of alloys near composition TiNi. Journal of applied physics, 34(5), 1475-1477.

Kauffman, G. B., & Mayo, I. (1997). The story of nitinol: the serendipitous discovery of the memory metal and its applications. The chemical educator, 2, 1-21. - https://ve42.co/Kauffman1997

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Written by Derek Muller, Katie Barnshaw, & Emily Zhang
Edited by Trenton Oliver
Animated by Mike Radjabov & Ivy Tello
Coordinated by Emily Zhang
Filmed by Derek Muller, Emily Zhang & Raquel Nuno
Additional video/photos supplied by Getty Images & Pond5
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Produced by Derek Muller, Petr Lebedev, & Emily Zhang
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