🔥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.
Topics covered in this session:
00:00 Introduction
00:40 Agenda
01:18 What is Amazon Sagemaker
04:28 Create Your AWS Account
06:52 Create your first Notebook Instance
12:56 Download and Explore Dataset
17:44 Train Your Model
24:43 Deploy Your Model
26:42 Evaluate Your Model
29:09 Case Study

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#Edureka #DeployAnMlModelUsingAmazonSagemaker #AWSTutorial #AWSCertification #AWSTraining #AWSMachineLearning #AWSMLDeployment #MachineLearningOnCloud #CloudComputing #AWS
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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.

🔥AI Engineer Specialist: https://l.linklyhq.com/l/1yhn3
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=EnsembleLearning&utm_medium=Descriptionff&utm_source=youtube
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=23AugustTubebuddyExpPCPAIandML&utm_medium=DescriptionFF&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=EnsembleLearning&utm_medium=Descriptionff&utm_source=youtube

Ensemble Learning is a popular machine learning technique for building models. This video on Ensemble Learning covers the basics of Ensemble Learning Methods. You will learn about the Adaboost and Gradient boosting algorithm. You will get an understanding of the Xgboost technique. The video will make you learn how to create a model using Ensemble Learning. Finally, you will look into the model selection and cross-validation skills.

1. Ensemble Learning
2. Overview
3. Ensemble Learning Methods: Part a
4. Ensemble Learning Methods: Part B
5. Working with Adaboost
6. Adaboost Algorithm and Flowchart
7. Gradient Boosting
8. Xgboost
9. Xgboost Parameters: Part a
10. Xgboost Parameters: Partb
11. Demo: Pima Indians Diabetes
12. Model Selection
13. Common Splitting Strategies
14. Demo: Cross Validation
15. Key Takeaways

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

⏩ Check out the Artificial Intelligence training videos: https://bit.ly/2Li4Rur

#EnsembleLearning #EnsembleLearningInMachineLearning #WhatIsEnsembleLearning #EnsembleLearningMethod #MachineLearningTutorial #Simplilearn

Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.

🔥Free Machine Learning Course: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=EnsembleLearning&utm_medium=Description&utm_source=youtube

➡️ 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
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=EnsembleLearning&utm_medium=Description&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=EnsembleLearning&utm_medium=Description&utm_source=youtube

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

🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=Live-11Sep2024GenAI&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=Live-11Sep2024GenAI&utm_medium=DescriptionFF&utm_source=youtube
🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=Live-11Sep2024GenAI&utm_medium=DescriptionFirstFold&utm_source=youtube
About the Webinar
Unlock the transformative power of artificial intelligence with our Applied Generative AI Specialization in partnership with Purdue University.

Join us on April 18th, 09:00 PM, for an exclusive insight into our Applied Generative AI Specialization. Discover the cutting-edge curriculum, hands-on projects, and unique features of this program designed to prepare you for success in developing and deploying AI-driven solutions.

👉Know more about the upcoming Live and Interactive Webinars here: https://sites.google.com/simplilearn.net/webinars/home?utm_campaign=Live-11Sep2024GenAI&utm_medium=Description&utm_source=youtube

✅Subscribe to our Channel to learn more about the top Technologies: https://www.youtube.com/user/Simplilearn

⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

#ArtificialIntelligence #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #MachineLearningTutorial #AITutorial #AIAndML #Simplilearn

Topics Covered:

In this enlightening session, we will explore key components of our Applied AI Course, including:

✅ Foundational AI Concepts
✅ Developing AI Applications
✅ AI in Practice
✅ AI Governance
✅ Interactive Q&A Session

About Applied Generative AI Specialization

Master Generative AI with this cutting-edge program delivered collaboratively by Purdue University Online and Simplilearn. Explore concepts like prompt engineering, large language models, attention mechanisms, and LLM fine-tuning. Learn in-demand tools and shape the future of intelligent systems.

Key Features
✅ Program completion certificate from Purdue University Online and Simplilearn
✅ Access to Purdue’s alumni association membership on program completion
✅ 50+ hours of core curriculum delivered in live online classes by industry experts
✅ Build Generative AI-enabled applications through hands-on projects
✅ Live online masterclasses delivered by Purdue faculty and staff
✅ Gain exposure to ChatGPT, OpenAI, Hugging Face, DALL-E 2 and other prominent tools
✅ Explore concepts like prompt engineering, attention mechanism, transformers, LLM application development, and LLM fine-tuning
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Earn official trophy and badges for ‘Microsoft Azure AI Fundamentals: Generative AI’ on the Microsoft Learn portal

Applied Gen AI Course Advantage
Gain a competitive edge with hands-on learning in the transformative arena of Generative AI. Master prompt engineering, LLMs, attention mechanisms, fine-tuning techniques, and LLM application development.

Applied Gen AI Course Details

Explore our Applied Generative AI program to deploy advanced techniques in real-world scenarios. Master GANs, VAEs, and prompt engineering, alongside tools like ChatGPT, DALL-E 2, OpenAI and Hugging Face. Develop LLM applications, fine-tuning skills, and explore governance principles.

Learning Path
✅ AGS: Program Induction
✅ AGS: Python Basics (Optional)
✅ AGS: Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ AGS: Advanced Generative AI - Models and Architecture
✅ AGS: Advanced Generative AI - Building LLM Applications
✅ AGS: Advanced Generative AI - Image Generation Capabilities
✅ AGS: Generative AI Governance
Electives:
✅ AGS: Microsoft Azure AI Fundamentals - Generative AI
✅ AGS: Academic Masterclass

Skills Covered
✅ Python Programming
✅ Explainable AI
✅ Prompt Engineering
✅ Variational Autoencoders VAEs
✅ Generative Adversarial Networks GANs
✅ Transformers
✅ LLM Architecture
✅ Attention Mechanism
✅ Langchain for Workflow Design
✅ GenAI Application Development
✅ LLM Fine Tuning
✅ LLM Benchmarking
✅ Stable Diffusion
✅ Generative AI Governance

Tools Covered

✅ Python
✅ ChatGPT
✅ OpenAI
✅ Hugging Face
✅ Bard
✅ Dall-E-2
✅ LangChain
✅ Gradio
✅ Chroma
✅ StreamLit

Industry Projects
✅ Project 1
Craft an AI Powered HR Assistant

✅ Project 2
Build a Creative Logo Designer

✅ Project 3
Conversational Chatbot for Document Interaction

👉Learn more at: https://www.simplilearn.com/applied-ai-course?utm_campaign=Live-11Sep2024GenAI&utm_medium=Description&utm_source=youtube

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

🔥Full Stack Java Developer Program (Discount Code - YTBE15) - https://www.simplilearn.com/java-full-stack-developer-certification?utm_campaign=mlyIXJiEJy8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Full Stack Developer - MERN Stack Program (Discount Code - YTBE15) - https://www.simplilearn.com/full-stack-developer-course-mern-certification-training?utm_campaign=mlyIXJiEJy8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - Post Graduate Program in Full Stack Web Development - https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=mlyIXJiEJy8&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech Coding Bootcamp (US Only) - https://www.simplilearn.com/coding-bootcamp?utm_campaign=mlyIXJiEJy8&utm_medium=DescriptionFirstFold&utm_source=Youtube

This video on Data Structures and Algorithms by Simplilearn introduces you to the fundamentals of programming, data structures, and algorithms. It begins with a foundational overview of data structures, helping you grasp the core concepts. The tutorial delves into essential algorithms like recursion, the Tower of Hanoi, the Knapsack problem, and Prim's Algorithm. You’ll explore various data structure types and learn how to select the most suitable one for specific scenarios. Additionally, it highlights the best AI coding tools to enhance efficiency and offers guidance on securing internships for hands-on experience. To reinforce your learning, the video presents the top 10 programming projects to improve your projects portfolio. By the end, you'll be well-prepared to tackle coding challenges and solve real-world problems with confidence.

This Data Structures and Algorithms Full Course will cover the following topics:

00:00:00 Introduction to Data Structures Full Course
05:26:27 Data Structures Tutorial For Beginners
05:38:31 Best AI Coding tools
05:50:06 What is an Algorithm
06:01:10 What is recursion
06:12:33 tower of Hanoi algorithm
06:36:45 Knapsack algorithm
07:05:34 Prims Algorithm
10:41:28 Data Structure tutorial
10:48:59 How to get Internships
11:02:09 Top 10 Programming Projects

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

#datastructures #algorithm #datastructuresandalgorithms #queues #stack #linkedlist #cprogramming #cpp #programming #simplilearn #2025

➡️ About Post Graduate Program in Full Stack Web Development

This program will give you the foundation for building full stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is a perfect time to get started on your career as a full stack web developer!

Key Features
✅ Live sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
✅ Caltech CTME Post Graduate Certificate
✅ Attend Masterclasses from Caltech CTME instructors
✅ Online Convocation by Caltech CTME Program Director
✅ Receive up to 25 CEUs from Caltech CTME
✅ Caltech CTME Circle Membership
✅ Live virtual classes led by industry experts, hands-on projects and integrated labs
✅ 30+ in-demand tools and skills
✅ Capstone Project in 4 domains
✅ 20 lesson-end and 5 phase-end projects
✅ Build your own portfolio on GitHub

Skills Covered
✅ Agile
✅ JAVA
✅ Hibernate and JPA
✅ Spring Core 50
✅ DevOps
✅ HTML5 and CSS3
✅ AWS
✅ JavaScript ES6
✅ Servlets
✅ SOAP and REST
✅ JSP

Learning Path
✅ Induction for Caltech PGP Full Stack Web Development Program
✅ PG FSD: Planning and UI Design
✅ PG FSD: Backend and Database Development
✅ PG FSD: API End Points and Communication
✅ PG FSD: Integration and Deployment
✅ PG FSD: Full Stack Web Development Capstone Project
Electives:
✅ Caltech CTME Full Stack Development Master Class
✅ Generative AI Masterclass

Learn More: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=mlyIXJiEJy8&utm_medium=Description&utm_source=Youtube

A video about autoencoders, a very powerful generative model. The video includes:
Intro: (0:25)
Dimensionality reduction (3:35)
Denoising autoencoders (10:50)
Variational autoencoders (18:15)
Training autoencoders (23:36)

Github repo: www.github.com/luisguiserrano/autoencoders

Recommended videos:
Generative adversarial networks: https://www.youtube.com/watch?v=8L11aMN5KY8
Restricted Boltzmann machines: https://www.youtube.com/watch?v=Fkw0_aAtwIw
Matrix factorization: https://www.youtube.com/watch?v=ZspR5PZemcs
Singular value decomposition: https://www.youtube.com/watch?v=DG7YTlGnCEo
Neural networks: https://www.youtube.com/watch?v=BR9h47Jtqyw
Convolutional neural networks: https://www.youtube.com/watch?v=2-Ol7ZB0MmU
Recurrent neural networks: https://www.youtube.com/watch?v=2-Ol7ZB0MmU
Logistic regression: https://www.youtube.com/watch?v=jbluHIgBmBo
Shannon entropy: https://www.youtube.com/watch?v=9r7FIXEAGvs

Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

0:00 Introduction
0:13 Generative models
3:03 Variational autoencoders
3:45 Dataset of images
10:16 Denoising autoencoders
10:27 Linear methods
10:53 A friendly introduction to deep learning and neural networks
11:58 Mapping the real numbers to the interval (0,1)
12:23 Sigmoid function
12:41 Perceptron
15:02 Correct noise
18:20 Autoencoders as generators
20:16 Latent space
23:41 Training a neural network - loss function
25:18 Training an autoencoder
25:32 Training autoencoders
25:46 Reconstruction loss (Mean squared error)
26:31 Reconstruction loss (log-loss)
27:11 Training a variational auto encoder

Correction: At 30:05, the number in the middle of the red graph should be 0.4, not 0.3.