To learn more about what EAGE has to offer on Machine Learning, please visit the EAGE calendar of events here:
https://www.eage.org/en/events/calendar-of-events

How and why can Deep Learning be used for seismic interpretation?

The machine learning technique called deep learning is revolutionizing the field of computer vision. A central part of deep learning is convolutional neural networks (CNN). This E-lecture gives a simple and intuitive introduction to CNNs in the context of seismic interpretation.

Github link:
https://github.com/waldeland/CNN-for-ASI

Paper link:
https://doi.org/10.3997/2214-4609.201700918

Paper link:
https://library.seg.org/doi/ab....s/10.1190/tle3707052

EAGE also offers Webinars on a range of geoscience and engineering topics. Learn more here:
https://prod.eage.org/sitecore..../content/learning-ge

Deep Learning in Life Sciences - Lecture 05 - Interpretable Deep Learning (Spring 2021)
6.874/6.802/20.390/20.490/HST.506 Spring 2021 Prof. Manolis Kellis
Deep Learning in the Life Sciences / Computational Systems Biology
Playlist: https://youtube.com/playlist?l....ist=PLypiXJdtIca5sxV
Latest slides and course today: http://compbio.mit.edu/6874
Spring 2021 slides and materials: http://mit6874.github.io/

0:00 Lecture outline
3:08 Interpretability: definition, importance
10:30 Interpretability: ante-hoc vs. post-hoc
18:26 Interpreting models: Weight visualization
22:20 Interpreting models: Surrogate model
24:14 Interpreting models: Activation Maximization / Data generation
34:26 Interpreting models: Example-based
39:36 Interpreting decisions
42:24 Interpreting decisions: Example based
45:39 Interpreting decisions: Attribution methods
1:01:17 Interpreting decisions: Gradient based
1:08:55 Interpreting decisions: Backprop-based
1:13:23 Evaluating attributions
1:14:15 Evaluating attributions: Coherence
1:15:30 Evaluating attributions: Class sensitivity
1:16:20 Evaluating attributions: Selectivity
1:19:45 Evaluating attributions: Remove and retrain/keep and retrain
1:21:15 Lecture summary

CNNs for deep learning
Included in Machine Leaning / Deep Learning for Programmers Playlist:
https://www.youtube.com/playli....st?list=PLZbbT5o_s2x

Convolution demo on real data:
https://youtu.be/vJiZqZRkIg8

In this video, we explain the concept of convolutional neural networks, how they're used, and how they work on a technical level. We also discuss the details behind convolutional layers and filters.

fast.ai lesson 4:
http://course17.fast.ai/lessons/lesson4.html

🕒🦎 VIDEO SECTIONS 🦎🕒

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How to Convert MBR to GPT During Windows 10/8/7 Installation.

Sometimes, when you are trying to install Windows on your PC, "Windows cannot be installed to this disk. the selected disk has an MBR partition table. On EFI system, Windows can only be installed to GPT disks" error message pops up and interrupts the installing process. Please note the conversion process will format/clean the drive as shown in the tutorial.

In this case, you are required to convert MBR to GPT to get the problem fixed. But how can you make it during Windows installation?

This tutorial will apply for computers, laptops, desktops,and tablets running the Windows 10, Windows 8/8.1, Windows 7 operating systems.Works for all major computer manufactures (Dell, HP, Acer, Asus, Toshiba, Lenovo, Samsung).

In this Python tutorial, We'll see how to create an AI Text Generation Solution with GPT-Neo from Eleuther AI.
We'll learn
1. About GPT-Neo
2. How to install the latest Hugging Face Transformers Package
3. Load Text Generation pipeline and Download Pre-trained GPT-Neo Models
4. Text Generation

Eleuther AI - https://www.eleuther.ai/
GPT-Neo on Hugging Face Model Hub - https://huggingface.co/EleutherAI/gpt-neo-1.3B
GPT-Neo - https://github.com/EleutherAI/gpt-neo
GPU Focused GPT-NeoX - https://github.com/EleutherAI/gpt-neox/
Colab Code - https://colab.research.google.....com/drive/1UByjdT5l_

Suddennagi Batti Ettre Enagutte | JRM Studio | Official 4K Video | JYOTHI RAO MOHITH

Concept-Screenplay-Dialogue-Direction JYOTHI RAO MOHITH

https://www.facebook.com/jothiraomohit.mohit

https://www.instagram.com/jothiraomohit/

Banner- JRM studios

Special thanks - Ramesh H (Dasaralli)
Sudhakar R gowda

Location _ VEERUS VILLAGE RESTURENT

Cinematography- Sumanth |Harshith gowda

BGM- RITVIK MURALIDHAR

Producer - JRM studios

Rehearsal and Workshop- Prakash Dance class

Cast- Vivek Gowda Ramesh, Payal Chengappa, Pratheek Shetty, Gowrav Shetty, Rashika Raj, Chethan Durga, Madhumathi, Anand Ninasum, Dimple Teju, Ajendra LG, Shreyas, Kuni Kumar

Dubbing Engineer- SEENU GOWDA

Editing- KIRAN KUMAR G

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Make Up- MURTHY

Hair Stylist- Mamatha

Sound Design & Final Mixing- B R NAVEEN KUMAR

Titles & Publicity designer- SEENU GOWDA

Dubbing, DI & vfx- AVATAR MEDIAS

Camera, Equipments & Main sponser- VCAMS

Direction Team- MAHENDAR

Camera Team- MH MANJUNATH, VENU GOPAL, G AJAY (V CAMS)

Subtitles: Ashwin Sriram

Digital Partner - Silly Monks Network

🔥Edureka DevOps Training: https://www.edureka.co/devops-....certification-traini
This Edureka "Jenkins Tutorial for Beginners" will help you understand what is Continuous Integration and why it was introduced. This Jenkins tutorial also explains how Jenkins achieves Continuous Integration in detail and includes a Hands-On session around Jenkins. By the end of this Jenkins tutorial you will learn how to pull code and compile a code that is present in GitHub, Review that code and run the test cases present and finally combine this code into an article file in a jar format. Following are the topics covered in this Jenkins tutorial for beginners:
00:00:00 Introduction
00:00:55 Why Continuous Integration?
00:04:08 What is Continuous Integration?
00:07:36 What is Jenkins?
00:16:04 Jenkins Installation, Setup and Demo
00:33:46 Summary

🔹Check our complete DevOps playlist here: http://goo.gl/O2vo13
🔹Check our Jenkins Tutorial Blog series here: https://bit.ly/3gfNuZr

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#Edureka #EdurekaJenkins #EdurekaDevOps #Jenkins #JenkinsTutorial #JenkinsPipeline #LearnJenkins #DevOpsTraining #DevOpsTutorial
--------------------------------------------------------------------------------------------
How it Works?
1. This is a 4 Week Instructor led Online Course.
2. Course consists of 24 hours of online classes, 25 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
Edureka’s DevOps online training is designed to help you master key tools of Devops lifecycle like Docker, Puppet, Jenkins, Nagios, GIT, Ansible, SaltStack and Chef used by a DevOps Engineer for automating multiple steps in SDLC. During this course, our expert DevOps instructors will help you:

1. Understand the concepts and necessities of DevOps
2. Understand the need for DevOps and the day-to-day real-life problems it resolves
3. Learn installation and configuration of common infrastructure servers like Apache, and Nginx for the Enterprise
4. Learn popular DevOps tools like Jenkins, Puppet, Chef, Ansible, SaltStack, Nagios and GIT
5. Implement automated system update, installations and deployments
6. Learn Virtualization Concepts
7. Configuration deployment and packaging, continuous integration using GIT
8. Fine tune Performance and set-up basic Security for Infrastructure
9. Manage server operations using Code which is popularly known as Infrastructure as a Code
10. Understand the need for and concepts of Monitoring and Logging.

Along with the above mentioned topics, to help you master the most popular DevOps tools, you will also receive 3 additional self-paced courses including presentations, class recordings, assignments, solutions for the following tools:

1: Ansible - Covers Introduction, Setup & Configuration, Ansible Playbooks, 37 Ansible Modules, Different Roles and Command Line usage. 2: Chef - Covers Introduction, Building the Cook Book, Node Object & Search, Data-bags, Chef environment, Roles, Deploying Nodes in Production and using the Open Source Chef Server.

3: Puppet - Covers Puppet Infrastructure & run-cycle, the Puppet Language, Environment defining Nodes and Modules, Provisioning a Web Server and Executing Modules Against A Puppet Master.

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

Who should go for this course?
DevOps practitioners are among the highest paid IT professionals today, and the market demand for them is growing rapidly. With emergence of new job roles around DevOps philosophy, anyone aspiring to get into these new roles, can take up this DevOps course. Some of these roles are:

1. DevOps Architect
2. Automation Engineer
3. Software Tester
4. Security Engineer
5. Integration Specialist
6. Release Manager

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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).

🔥 Python Developer Masters Program (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎): https://www.edureka.co/masters....-program/python-deve
This Edureka Live video on "𝐈𝐦𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 𝐔𝐬𝐢𝐧𝐠 𝐏𝐲𝐭𝐡𝐨𝐧" will provide you with a comprehensive and detailed knowledge of Image processing and how it can be implemented using OpenCV library. In this video, you will be working on Image processing with Python and also create a model using a convolutional neural network. Finally, we will build an end-to-end model to process and identify the handwritten images.

🔹Edureka Python Tutorial Playlist: https://goo.gl/WsBpKe
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#Edureka #PythonEdureka #PythonImageProcessing #ComputerVision #PythonProgramming #PythonTraining #PythonOpenCV #EdurekaTraining

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

🔵 DevOps Online Training: http://bit.ly/3qqcotZ
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----------------------------------------Edureka Post Graduate Courses-------------------------------------------

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

-------------------------------------------------------
About the Python Certification Training by Edureka

This Python course is live, instructor-led & helps you master various Python libraries such as Pandas, Numpy and Matplotlib to name a few, with industry use cases. Enroll now to learn Python online & be a certified Python professional with Edureka.

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

What will you learn in Edureka’s Python Training

Edureka’s Python Certification Training will help you to learn more about how to write code in python with examples. Along with that you will also learn more about python syntax, Python basics, python ide, and many more. Not just this, you’ll also learn about various other Python Fundamentals in this Python Online Training like:
Introduction to Python
Python Sequences and File Operations
Python Functions
Python OOP
Python Modules
Exception Handling in Python
Python Libraries like NumPy, Pandas, Matplotlib
Python GUI Programming
Computer Vision using Python OpenCV

---------------------------------------------------------------
Who should go for Python Training?

Edureka’s Python certification course is a good fit for the professionals like Programmers, Developers, Technical Leads, and Architects. Even the developers who are aspiring to be a ‘Machine Learning Engineer' or the Analytics Managers who are leading a team of analysts can learn Python Programming.

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

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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This video gives you a brief introduction to Amazon Polly. It also discusses the working and use-cases of Amazon Polly. The topics that we will cover in this session are as follows:
· What is Amazon Polly?
· Advantages
· How it works?
· Use cases
· Demo

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
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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
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📌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 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/microse....rvices-architecture- (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka's video on Microservices Security talks about the best practices to secure microservices.
Topics Covered:
00:00:00 Introduction
00:00:50 Agenda
00:01:16 What are Microservices?
00:03:02 Problems faced in microservices
00:06:45 Best practices to secure microservices

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

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🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 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

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/advance....d-artificial-intelli (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
In this Edureka video on “ Top 10 Generative AI tools”, you will learn about the top 10 Generative AI tools, I aim to show you what are the most trending Generative AI tools and how it is going to change our world. What do you think about these new AI Tools?

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🌕 Microservices Online Training: http://bit.ly/3gxYqqv
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

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🔴𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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

🔥Edureka AWS Architect Certification Training: https://www.edureka.co/aws-certification-training
This video is about the features and benefits of AWS Kinesis. It shows how AWS Kinesis can be effectively used for processing the streaming data. The topics that we will cover in this session are as follows:
· What is AWS Kinesis?
· Advantages
· Capabilities
· Use Cases
· Kinesis vs SQS
· How it works?
· Demo

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#edureka #EdurekaAWS #AWSKinesis #awstraining #cloudcomputing
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How does it work?
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
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Course Objectives

On completion of the AWS Architect Certification Training, the learner will be able to:
1. Design and deploy scalable, highly available, and fault-tolerant systems on AWS
2. Understand the 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
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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.
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If you are looking for live online training, write back to us at [email protected] or call us at the US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.

This Azure tutorial video will help you understand need of cloud computing, what is cloud computing, what is Azure, Azure services and more.
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Cloud infrastructure is set to dominate the IT space. Microsoft Azure is growing faster than any other cloud services provider with an incredible 154% YOY growth rate. The data is impressive and quite convincing as to why you could consider learning cloud technologies like MS Azure. The opportunities for Microsoft Azure certified aspirants have drastically multiplied in recent years. Cloud technologies like Azure are evolving at a rapid clip, outpacing the average rate of growth in the IT sector as a whole. Now, let us get started and understand what is Azure and how does it work along with the various Azure services.

Below topics are explained in this Azure tutorial for beginners:
1. Why cloud computing? ( 00:28 )
2. What is cloud computing? ( 01:39 )
3. What is Azure? ( 03:58 )
4. Azure services ( 05:41 )
5. Uses of Azure ( 09:16 )
6. Key takeaways ( 09:58 )

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📚 For a more detailed understanding on Azure, do visit: https://www.simplilearn.com/what-is-azure-article?&utm_medium=Description&utm_source=youtube
You will find in-depth content on Azure. Browse further to discover similar resources on related topics, made available to you as a learning path. Enjoy top-quality learning for FREE.

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➡️ Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

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In this video, you are going to learn about Hypothesis Testing in Statistics. We will discuss the null hypothesis, the alternate hypothesis, the statistical significance of a hypothesis test, and more. This video breaks down these concepts into easy-to-understand chunks so you can grasp their meaning and applications. We'll also go over a real-world example near the end to show how these concepts are applied.

Below topics will be covered in this Hypothesis Testing video:
00:00 What is Hypothesis Testing?
01:06 Research Question
02:22 Criteria for good hypothesis
03:37 Null hypothesis
04:31 Test Statistic
06:34 Hypothesis example
07:14 Significance level

🔥Free Data Science Course with Completion Certificate: https://www.simplilearn.com/data-science-free-course-for-beginners-skillup?utm_campaign=HypothesisTestingExplained&utm_medium=Description&utm_source=youtube

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#HypothesisTesting #HypothesisTestingInStatistics #HypothesisTestingExampleProblems #HypothesisTestingExplained #WhatIsHypothesisTesting #StatisticsBasics #LearnStatistics #Simplilearn

✅What is Hypothesis Testing?
Hypothesis Testing is a type of statistical analysis in which we put our assumptions about a population parameter to the test. It is used to estimate the relationship between 2 statistical variables. Whenever we want to make claims about the distribution of data or whether one set of results are different from another set of results in machine learning, we rely on hypothesis tests.


About Simplilearn Data Scientist Program:
This Data Science course, in collaboration with IBM, features exclusive IBM hackathons, masterclass, and Ask-me-anything sessions for the best training experience. This Data Scientist certification training provides hands-on exposure to key technologies including R, Python, Machine Learning, Tableau, Hadoop, and Spark via live interaction with practitioners, practical labs, and industry projects.

Learning Objectives of Simplilearn Data Scientist Program:
Data Scientist is one of the hottest professions. IBM predicts the demand for Data Scientists will rise by 28% by 2020. Simplilearn's Data Science certification course co-developed with IBM encourages you to master skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised, and unsupervised learning and more.


Key Features of Simplilearn Data Scientist Program:
✅ Exclusive Hackathons and Live interaction with IBM leadership (Includes live Master Classes and Ask me anything sessions)
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Big data is a field that has become immensely popular in the last decade. With vast amounts of data getting generated every second, companies are now looking for technologies to handle it efficiently. In this crash course video, you will learn a widely used big data technology, i.e., Hadoop and the different tools and frameworks. You will understand the various components of Hadoop, such as HDFS, MapReduce, and YARN. You will then learn about Sqoop, HBase, Hive, and Pig in detail, along with a hands-on demo for each of these tools.

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00:00:00 Big data basics
00:04:55 Cloudera Hadoop installation
00:25:06 Hadoop ecosystem
00:25:25 Why Hadoop
00:32:24 What is Hadoop
00:37:28 Hadoop HDFC
01:03:20 What is MapReduce
01:11:45 What is YARN
01:41:06 Demo on HDFC, MapReduce and YARN
02:11:53 What is Sqoop
02:11:33 Sqoop Import
02:16:30 Demo on sqoop
02:36:24 Flume
02:37:55 What is Pig
02:39:54 Demo on pig
02:53:54 Hive
02:55:37 Demo on HiveQL
03:20:15 Spark
03:31:50 Introduction to HBase
03:47:19 Demo on HBase

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This video will give you an introduction to the Salesforce CRM and talk tell you how & why Salesforce has emerged as one of the leading cloud computing companies today.
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In Photoshop 2023 Beta, the new Generative Fill and Contextual task Bar are the most advanced features Photoshop ever had! It uses artificial intelligence in the most effective way to give you unbelievably effective results!

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In this tutorial you will learn everything you need to fine tune (train) your GPT-2 Model. By training the model on specific texts you can improve the results quality by a large margin. Fine Tuning your GPT-2 Model is quite easy and can be done in a few simple steps.

First you need to download the repository from Github. After that you need to create a training.txt file including the data on which your model should be trained on. The next step is to convert the file into an npz format from which you can then train the model. After the GPT-2 model has been trained you can then copy the files into your final model and just run the sample code.


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ChatGPT-4 Prompt Engineering: The Tree of Thoughts Process

𝐅𝐢𝐧𝐝 𝐭𝐡𝐞 𝐏𝐫𝐨𝐦𝐩𝐭 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞 𝐇𝐞𝐫𝐞:
https://www.allabtai.com/the-t....ree-of-thoughts-prom

Paper:
https://arxiv.org/abs/2203.02155

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Explore how AI can mimic human-like problem-solving with the revolutionary Tree of Thoughts (ToT) approach. Traditional AI methods fall short - ToT is the future, considering multiple reasoning paths like exploring a forest, not just one trail.

Witness how Prompt Engineering with ToT tackles complex problems more efficiently than ever before.

00:00 ChatGPT-4 Prompt Engineering: ToT Intro
00:25 What is the Tree of Thoughts Prompt Approach?
01:36 The Brainstorming Phase
03:59 The Evaluation Phase
06:19 The Expansion Phase
07:59 The Decision Phase

#ai #chatgpt #lensa
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