(** AWS Certified DevOps Engineer Training - https://www.edureka.co/aws-cer....tified-devops-traini **)
This Edureka session on ‘Running Docker In Production Using AWS ECS’ will help you get acclimatized with the fundamentals of AWS ECS and help running a container image on it.

Following is the list of content covered in this session:
1. What Is AWS?
2. What is Docker?
3. What is ECS?
4. Demo: Running Docker On ECS

Check out our Playlist: https://goo.gl/8qrfKU
Blog Series: https://goo.gl/dh71C9

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#Edureka #AWSDevOpsEdureka #DevOpsAWS

How it Works?


1. This Certification Training spans over a duration of 4 Weeks.

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

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

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



About The Course

This course covers industry recognized and widely used concepts such as Infrastructure-as-Code, CI/CD pipeline, Immutable Infrastructure, Deployment Strategies, Containers etc. and how to implement these principles on AWS platform using services such as Code-Suite services, CloudFormation, Elastic Beanstalk, Elastic Container Service, etc.



Edureka’s AWS certified DevOps engineer training is aligned with the AWS Certified DevOps Engineer – Professional course, which is structured around the 6 domains outlined in the AWS exam blueprint

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


Why should I enrol for this Program?
DevOps is a software development approach which involves continuous development, continuous integration, continuous testing, continuous deployment and continuous monitoring of software throughout its life cycle.



On the other hand, AWS is leading the pack in terms of Cloud Computing which provides a bunch of flexible services to reliably and rapidly, build and deliver products. So, DevOps with AWS is a potent combination to automate manual tasks, help teams manage complex environments at scale, and enable organizations to better serve their customers and compete more effectively in the market.


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

Who should go for this training?
The following professionals can go for this course:

· System Administrators

· Software Developers

· Cloud Professionals

· Solution Architects

· Project Manager

· Technical Lead
---------------------------------------------------------------------------------------------------------

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).

Learn full-stack development, React and more at Zero to Mastery: https://bit.ly/3t2R29a (affiliate) Use promo code FRIENDS10 for a 10% discount

Judging by my recent Codecademy review stats, developers on YouTube are apparently really interested, perhaps even obsessed with Codecademy. And that’s totally OK! I’ve been a member of this platform for years and have a lot to share! So today we’re going to look at Codecademy again... But this time specifically focus on how it compares to competitor platforms. In this video we're looking at:
✅ Codecademy vs freeCodeCamp
✅ Codecademy vs Datacamp
✅ Codecademy vs Udemy
✅ Codecademy vs Coursera

What platform is ideal for code newbies? What platform gets you the most bang for your buck? And is it really all about the data on Datacamp?
All this and more in today's video.

0:00 Intro
1:27 Codecademy vs freeCodeCamp
4:20 Codecademy vs DataCamp
6:29 Codecademy vs Udemy
7:57 Codecademy vs Coursera
10:18 Codecademy or freeCodeCamp for newbies?


=========================
⬇️ Cool stuff ⬇️
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐜𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/devops-....certification-traini (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This DevOps Tutorial on Git Commands ( Git Blog series: https://goo.gl/XS1Vux ) will explain all the basic Git commands. You will learn about the commands like git add, git init, git pull, git branch etc.
00:00 Introduction
00:19 Git Basic Commands
07:45 Branching
14:54 Working with Remote Respositories
19:42 Advanced Git Commands
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

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

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--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
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⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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About Course
What will you learn as a part of this DevOps course?
This DevOps training course is designed keeping in mind the latest trends in the industry. The course focuses on creating a strong base for various DevOps tools including Git, Jenkins, Docker, Ansible, Kubernetes, Prometheus and Grafana, and Terraform. The training is completely hands-on oriented and designed in a way that will help you in becoming a certified practitioner by providing you an intensified training for the best practices about Continuous Development, Continuous Testing, Configuration Management, including Continuous Integration and Continuous Deployment and finally Continuous Monitoring of the software throughout its development life cycle.

What are the skills that you will be learning with our DevOps course?
Upon completion of the DevOps training course, you will be able to:

Understand the DevOps Process and Lifecycle
Manage and keep a track of different versions of the source code using GIT
Use Jenkins and maven to build the application and integrate the CI/CD Pipeline
Manage your infrastructure using Ansible
Build and Deploy containers using Docker
Orchestrate your containerized environment with Kubernetes
Monitor and visualize your environment using Prometheus and Grafana
Provision new infrastructure using Terraform

🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=MachineLearning-NUXdtN1W1FE&utm_medium=Descriptionff&utm_source=youtube
🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootcamp?utm_campaign=MachineLearning-NUXdtN1W1FE&utm_medium=Descriptionff&utm_source=youtube

This Linear Regression Analysis video will help you understand the basics of linear regression algorithm. You will learn how Simple Linear Regression works with solved examples, look at the applications of Linear Regression and Multiple Linear Regression model. In the end, we will implement a use case on profit estimation of companies using Linear Regression in Python.

Dataset Link - https://drive.google.com/drive..../folders/1BNAsNI6cbw

Below topics are covered in this Linear Regression Analysis Tutorial:
1. Introduction to Machine Learning
2. Machine Learning Algorithms
3. Applications of Linear Regression
4. Understanding Linear Regression
5. Multiple Linear Regression
6. Usecase - Profit estimation of companies

What is Linear Regression Analysis?
Machine Learning is an application of Artificial Intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Linear regression is a statistical model used to predict the relationship between independent and dependent variables by examining two factors:
Which variables, in particular, are significant predictors of the outcome variable?
How significant is the regression line in terms of making predictions with the highest possible accuracy?

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

For a more detailed understanding of Linear Regression Analysis, do visit: https://bit.ly/2OsDxeA
You will find in-depth content on Machine Learning. 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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➡️ Advanced Certificate Program In Data Science
This Advanced Certificate Program in Data Science is designed for working professionals & covers job-critical topics like R, Python, Machine Learning techniques, NLP notions,& Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, corporate ready projects.

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

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 : https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka video on 𝐂𝐚𝐧𝐜𝐞𝐫 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, will help you understand how to develop models using Convolution Neural Networks. We will also have a discussion on improving model accuracy using pretrained models. Below are the topics covered in Cancer Detection Using Deep Learning video :
00:00:00 Introduction
00:00:52 Introduction to Deep Learning
00:02:57 Deep Learning General Intuition
00:05:43 Image Processing Using DL
00:16:54 Brain Tumor Detection Using Custom Model
01:07:43 Transfer Learning
01:11:21 CNN Architectures

🔴 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

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MIT Introduction to Deep Learning 6.S191: Lecture 1
*New 2023 Edition*
Foundations of Deep Learning
Lecturer: Alexander Amini

For all lectures, slides, and lab materials: http://introtodeeplearning.com/

Lecture Outline
0:00​ - Introduction
8:14 ​ - Course information
11:33​ - Why deep learning?
14:48​ - The perceptron
20:06​ - Perceptron example
23:14​ - From perceptrons to neural networks
29:34​ - Applying neural networks
32:29​ - Loss functions
35:12​ - Training and gradient descent
40:25​ - Backpropagation
44:05​ - Setting the learning rate
48:09​ - Batched gradient descent
51:25​ - Regularization: dropout and early stopping
57:16​ - Summary

Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/2ZB72nu

Lecture 2: Word Vectors, Word Senses, and Neural Network Classifiers
1. Course organization (2 mins)
2. Finish looking at word vectors and word2vec (13 mins)
3. Can we capture the essence of word meaning more effectively by counting? (8m)
4. The GloVe model of word vectors (8 min)
5. Evaluating word vectors (14 mins)
6. Word senses (8 mins)
7. Review of classification and how neural nets differ (8 mins)
8. Introducing neural networks (14 mins)

To learn more about this course visit: https://online.stanford.edu/co....urses/cs224n-natural
To follow along with the course schedule and syllabus visit: http://web.stanford.edu/class/cs224n/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

OpenAI's CEO, Sam Altman, reveals plans for GPT-5, promising improved memory, reasoning capabilities, unlimited message length and more, transcending the impressive features of its predecessor, GPT-4. Taking AI to a new level, OpenAI Academy, a project leveraging GPT-5, aims to revolutionize education. With competition fostering innovation, get ready for a transformative era in AI and chatbot sphere, pushing boundaries beyond GPT-4, and ushering us into a future designed by visionary Sam Altman.

Become a Member of the channel and Supporter of AI Revolution → https://www.youtube.com/channe....l/UC5l7RouTQ60oUjLjt

#openai #gpt5 #ai

In this comprehensive Rust course for beginners, you will learn about the core concepts of the language and underlying mechanisms in theory.

✏️ Course developed by @zubiarfan

🔗 Rust by Practice: https://practice.rs/
🔗 Code: https://github.com/3rfaan/cour....ses/tree/main/Rust/r

⭐️ Contents ⭐️
00:00:00 Introduction & Learning Resources
00:06:19 Variables
00:27:07 Numbers & Binary System
01:09:51 Chars, Bools & Unit Types
01:17:55 Statements & Expressions
01:24:50 Functions
01:32:53 Ownership
02:24:06 Borrowing
02:47:45 String vs. &str
03:17:59 Slices
03:31:35 Tuples
03:40:04 Structs
04:02:52 Enums
04:13:46 The "Option" Enum
04:21:32 Flow Control
04:44:43 Pattern Match
05:16:42 Methods & Associated Functions
05:31:50 Generics
06:06:32 Traits
06:47:15 Trait Objects
07:09:51 Associated Types
07:39:31 String
07:59:52 Vectors
08:29:00 HashMaps
08:52:45 Type Coercion
09:04:54 From & Into
09:36:03 panic!
09:44:56 Result
10:28:23 Cargo, Crates & Modules
11:08:28 Debug & Display
11:30:13 Lifetimes
12:14:46 Lifetime Elision
12:38:53 Closures
13:30:08 Iterators

Correction:
12:53:20 Because of the `move` keyword the closure actually takes ownership of the `movable` variable, not an immutable reference. The reason we can call the closure twice is because the `movable` variable INSIDE the closure is the owner of the data. Meaning we can call the closure any number of times.

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

React: Use State to Toggle an Element


#100DaysOfCode

React: Create a Controlled InputPassed


#100DaysOfCode