🔥Edureka Data Science Certification Training: https://www.edureka.co/data-sc....ience-python-certifi
This Edureka Live session on 'Linear Regression In Machine Learning' covers an introduction to Linear Regression with practical implementation using a custom data set. Following are the topics of discussion:

What is Regression In Machine Learning?
Types Of Regression
What is Linear Regression?
Linear Regression Terminologies
Advantages And Disadvantages
Linear Regression Use Cases
How To Implement Linear Regression Using Python

🔹Python Tutorial Playlist: https://goo.gl/WsBpKe
🔹Blog Series: http://bit.ly/2sqmP4s

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#edureka #edurekaMachineLearning #linearregressioninmachinelearning #linearregressioninpython #machinelearning #linearregression #mlalgorithms #machinelearningtraining
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How it Works?

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.

Why Learn Machine Learning using Python?

Data Science is a set of techniques that enables computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
Who should go for this Machine Learning Certification Training using Python?

Edureka’s Python Machine Learning Certification Course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free)

🔥Machine Learning Engineer Masters Program: https://www.edureka.co/masters....-program/machine-lea
This Edureka "How to become a Machine Learning Engineer" will first address who is a Machine Learning Engineer. Also, we will understand what a Machine Learning Engineer does. We will then talk about the skills needed to become a Machine Learning Engineer followed by the Roles & Responsibilities of a Machine learning Engineer. Moving on, we will discuss the salary & trends of a Machine Learning Engineer & then talk about the companies hiring Machine Learning Engineers. Finally, we will conclude this session by addressing the future of Machine Learning. Following are the topics covered in this Machine Learning Tutorial:
00:00 Introduction
01:27 Who is a Machine Learning Engineer?
02:02 What does an ML Engineer do?
02:50 Skills Needed to Become an ML Engineer
07:22 Roles & Responsibilities of an ML Engineer
08:41 Salary & Trends of an ML Engineer
09:21 Companies Hiring ML Engineers
09:47 Future of Machine Learning

🔹Check our Machine Learning Tutorial Playlist here: https://bit.ly/2NG9tK4
🔹Check our Machine Learning Tutorial Blog Series here: https://bit.ly/3gfNuZr
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-------------------------

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning. The Master's Program covers the following topics:

🔹Python Programming Certification Course - http://bit.ly/39g0R9u
🔸Machine Learning Certification Training using Python - http://bit.ly/2MPmCW1
🔹Graphical Models Certification Training - http://bit.ly/3nAuKpY
🔸Reinforcement Learning - http://bit.ly/2K4FG1F
🔹Natural Language Processing with Python Certification Course - http://bit.ly/2LAAcMq
🔸Deep Learning with TensorFlow 2.0 Certification Training - http://bit.ly/2XtbKzp
🔹Python Spark Certification Training using PySpark - http://bit.ly/39ljmcD

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

Prerequisites

There are no prerequisites for enrollment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

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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

🔥Machine Learning Training with Python: https://www.edureka.co/machine....-learning-certificat
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.

🔹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 Post Graduate Courses-------------------------------------------

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

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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 Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=24JunUSPriority&utm_medium=DescriptionFF&utm_source=youtube
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🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=29Dec2023PromptEngineeringTutorialForBeginners&utm_medium=DescriptionFirstFold&utm_source=youtube
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🚀 Welcome to our comprehensive tutorial on Prompt Engineering for Beginners! 🚀. Whether you're a coding enthusiast, a budding AI developer, or simply curious about the world of natural language processing, this tutorial is designed just for you! In this step-by-step guide, we'll walk you through the fundamentals of prompt engineering, a key concept in harnessing the capabilities of GPT-3.5. You'll gain hands-on experience crafting prompts that yield accurate and insightful responses from the model.

🔍 What you'll learn:
1️⃣ Understanding GPT-3.5: Get a brief overview of the GPT-3.5 language model, its capabilities, and how it processes information.

2️⃣ Introduction to Prompt Engineering: Dive into the world of prompt engineering, learning how to craft effective prompts to elicit desired outputs.

3️⃣ Practical Examples: Follow along with practical examples as we demonstrate the art of constructing prompts for various tasks, from text generation to problem-solving.

4️⃣ Optimizing for Accuracy: Discover tips and tricks to fine-tune your prompts for optimal results, ensuring that GPT-3.5 understands and responds accurately.

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

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

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➡️ 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
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- And Many More…

👉 Enroll Now: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=29Dec2023PromptEngineeringTutorialForBeginners&utm_medium=Description&utm_source=youtube
🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688
✅ Inspiring Success Stories of Simplilearn's Learners: https://www.simplilearn.com/reviews?utm_campaign=29Dec2023PromptEngineeringTutorialForBeginners&utm_medium=Description&utm_source=youtube

5️⃣ Common Pitfalls and Best Practices: Learn about potential challenges in prompt engineering and adopt best practices to overcome them.

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐐𝐋 𝐂𝐨𝐮𝐫𝐬𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/microso....ft-sql-server-certif
This Edureka SQL Full Course video will cover all the topics of Structured Query Language (SQL) starting from scratch. This SQL tutorial for beginners is great for beginners who want to learn SQL and for professionals who want to brush up on their SQL skills.
00:00:00 Introduction
00:05:51 What is SQL?
00:18:02 SQL Operators
00:52:27 Normalization in SQL
01:03:55 Triggers In SQL
01:16:07 SQL Joins
01:38:20 SQL Functions
03:05:48 SQL vs MySQL
03:53:50 Basics of SQL
04:11:04 SQL vs NoSQL
04:16:34 SQL For Data Science
04:23:14 PostgreSQL
06:31:00 SQL Server
08:10:30 Introduction to SQLAlchemy
08:15:56 How to use SQLAlchemy with Python?
08:20:32 SQL Interview Questions and Answers
09:11:32 SQL Server Interview Questions and Answers


🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟒 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2024 - https://www.youtube.com/watch?v=vaLXPv0ewHU

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
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🔵 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
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
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🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

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🔵 Post Graduate 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

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Please write back to us at [email protected] or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

Check out the latest (and most visual) video on this topic! The Celestial Mechanics of Attention Mechanisms: https://www.youtube.com/watch?v=RFdb2rKAqFw

This is the last of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.

Video 1: The attention mechanism in high level https://www.youtube.com/watch?v=OxCpWwDCDFQ

Video 2: The attention mechanism with math https://www.youtube.com/watch?v=UPtG_38Oq8o

Video 3 (This one): Transformer models

If you like this material, check out LLM University from Cohere!
https://llm.university

Get the Grokking Machine Learning book!
https://manning.com/books/grok....king-machine-learnin
Discount code (40%): serranoyt
(Use the discount code on checkout)

00:00 Introduction
01:50 What is a transformer?
04:35 Generating one word at a time
08:59 Sentiment Analysis
13:05 Neural Networks
18:18 Tokenization
19:12 Embeddings
25:06 Positional encoding
27:54 Attention
32:29 Softmax
35:48 Architecture of a Transformer
39:00 Fine-tuning
42:20 Conclusion

Build your first app today with Mocha: https://www.getmocha.com?utm_source=matthew_berman

Download Humanities Last Prompt Engineering Guide (free) 👇🏼
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Links:
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Whatever your current skill level, this course will help you become an AI power user.

Learn to:

Find information: Get accurate, well-sourced answers using AI web search and deep research modes.

Brainstorm & Write: Use AI as a thought partner to get honest feedback and write natural-sounding text.

Create & Build: Generate images and build simple websites and apps with no coding required.

Taught by AI pioneer Andrew Ng, you’ll learn how to effectively use modern AI for the main things people use it for: finding information, brainstorming and writing, and working with multimedia and code.

If you want to get certified and access to course labs and quizzes, enroll here: https://bit.ly/4wFmOZl