🔥Intellipaat Salesforce Training: https://intellipaat.com/salesforce-training/
In this salesforce full-course video, you will learn salesforce from scratch to the most advanced concepts. This salesforce training video for beginners has covered everything you need to know about salesforce to become a salesforce developer. We have added salesforce interview questions also at the last so that you can prepare for the job interview as well.
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🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐌𝐚𝐬𝐭𝐞𝐫 𝐏𝐫𝐨𝐠𝐫𝐚𝐦(𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎): https://www.edureka.co/masters....-program/machine-lea
This Edureka video will provide you with a detailed and comprehensive knowledge of Naive Bayes Classifier Algorithm in python. At the end of the video, you will learn from a demo example on Naive Bayes. Below are the topics covered in this tutorial:
00:00:00 Introduction
00:00:25 Agenda
00:01:35 What is Machine Learning
00:13:47 Introduction to Classification
00:17:28 Classification Algorithms
00:18:30 What is Naïve Bayes
00:31:36 Mathematical Working of Naïve Bayes
00:39:24 Example

📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

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⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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About the Machine Learning with Python Training
Edureka’s Machine Learning Certification Training using Python is designed to make you grab the concepts of Machine Learning. This Machine Learning Certification 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, in this Machine Learning with Python Training, you will be taught 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 this Machine Learning online course, we will be discussing various practical use cases of Machine Learning with Python programming language to enhance your learning experience. Edureka offers the best Machine Learning Training online for those who want to be the best in Python. Enroll now with Edureka's online Machine Learning Certification to get trained with industrial experts.

What are the pre-requisites for this Machine Learning Certification Training ?
The pre-requisites for the Machine Learning Training include development experience with Python. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous.

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+ Generative Adversarial Networks / GANs (PyTorch): https://bit.ly/3RHQiRj


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Please note that I may earn a commission for purchases made at the above sites! I strongly believe in the material provided; I only recommend what I truly think is great. If you do choose to make purchases through these links; thank you for supporting the channel, it helps me make more free content like this!

Sebastian's books: https://sebastianraschka.com/books/
The lecture slides are available at: https://github.com/rasbt/stat4....53-deep-learning-ss2

Covers some of the basics of recurrent neural networks. In particular, this lecture covers

RNNs and Sequence Modeling Tasks: 00:00
Backpropagation Through Time: 20:23
Long-short term memory (LSTM): 31:42
Many-to-one Word RNNs: 45:16
Generating Text with Character RNNs: 50:45
Attention Mechanisms and Transformers: 1:00:09

** Python Certification Training: https://www.edureka.co/data-sc....ience-python-certifi **
This Edureka tutorial on "Python Tutorial for Beginners" (Python Blog Series: https://goo.gl/nKQJHQ) covers all the basics of Python. It includes python programming examples, so try it yourself and mention in the comments section if you have any doubts. Following are the topics included in this video:
00:00 Agenda
01:01 Introduction to Python
05:49 Reasons to choose Python
07:12 Installing and running Python
08:35 Development Environments
09:05 Compiling v/s interpreting
09:48 Basics of Python Programming
09:55 Expressions
10:59 Math Commands
12:05 Variables
13:00 Basic Datatypes
14:22 Whitespaces
15:07 Comments
15:52 Assignment
17:10 Naming rules & conventions
21:22 Starting with code
25:10 Python Operators
30:52 Python Lists
38:27 Python Tuples
42:44 Python Sets
48:31 Python Dictionaries
54:45 Conditional Statements
59:46 Looping in Python
01:10:38 Python Functions
01:14:42 Python Arrays
01:17:20 Classes and Objects (OOP)
01:17:20 Conclusion

Subscribe to our channel and hit the bell icon to get video updates: https://goo.gl/6ohpTV

PG in Artificial Intelligence and Machine Learning with NIT Warangal : https://www.edureka.co/post-gr....aduate/machine-learn

Post Graduate Certification in Data Science with IIT Guwahati - https://www.edureka.co/post-gr....aduate/data-science-
(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

Instagram: https://www.instagram.com/edureka_learning/
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#Edureka #PythonEdureka #PythonTutorial #PythonTraining #PythonProgramming

Check out our Python Tutorial Playlist: https://goo.gl/WsBpKe

How it Works?
1. This is a 5 Week Instructor-led Online Course,40 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 be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The 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 Python programming language. Furthermore, you will be taught 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 Python programming language to enhance your learning experience.

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 future, living the present

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Why learn Machine Learning with Python?

Data Science is a set of techniques that enable 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.

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

If you have access to GPT-4, Replit is one of the fastest places to start building with it.

We have new templates for Node.js and Python that support GPT-4 right out of the box.

Just create a Repl. Place your API key. Click run.

#shorts

Colab: https://colab.research.google.....com/drive/16TASxhPZ6
Github: https://github.com/Torantulino/Auto-GPT#-features

In this video, we look at the Auto-GPT an autonomous LLM system which does really well at task-driven generation and using tools and modules.

My Links:
Twitter - https://twitter.com/Sam_Witteveen
Linkedin - https://www.linkedin.com/in/samwitteveen/

🔥Edureka Microsoft Azure DevOps Solutions Certification: https://www.edureka.co/microso....ft-azure-devops-solu
This Edureka ”Azure Boards” session will give you a complete walkthrough to Microsoft Azure Boards and introduce to Agile Development on Azure Cloud platform.
Following are the offerings of this video:

00:55 What Is Azure DevOps?
05:04 Components Of Azure DevOps
07:03 Components Of Azure Boards
10:27 Demo: Azure Boards Walkthrough

Check out our Playlists: https://goo.gl/NsE8wC
Blog Series: https://goo.gl/8S5WFJ

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Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: https://goo.gl/6ohpTV

----------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠𝐬-----------

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#Edureka #EdurekaAZure #AzureBoards #AzureTraining #AzureDevOps #EdurekaTraining #CloudTraining

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About the Course

Edureka’s Microsoft Azure DevOps Solutions Certification (AZ-400) Course is curated by industry professionals as per the industry requirements and demands. The certification course gives you a solid foundation to appear for the Microsoft Certified: DevOps Engineer Expert Certification. The course will help you learn how to design and implement strategies for collaboration, source code management, security, compliance, continuous integration, delivery, and monitoring.

During this training, you'll learn:

-Introduction to Azure DevOps
-Implementing Continuous Integration
-Build Containers with Azure DevOps
-Designing a Dependency Management Strategy and Managing Artifact Versioning
-Setting up Release Management Workflow
Implementing Deployment Models and Services
Implement and Optimize Continuous Feedback Mechanism
Azure Tools: Infrastructure and Configuration, and Third-Party
Implementing Compliance and Security
Azure Case Studies

Course Objectives

On completion of the AWS Architect Certification training, learner will be able to:
-Demonstrate Git Version Controlling
-Understand Build Strategy and its Implementation
-Integrate Azure Pipelines
-Monitor AKS Cluster from Azure Monitor
-Deploy a multi-container application to AKS
-Migrate and consolidate artifacts
-Use WhiteSource to manage open-source security and license
-Use secrets in the pipeline with Azure Key Vault
-Release deployment control using Azure Monitor as release gate
-Configure Azure IaaS and PaaS
-Set up Azure Service Fabric
-Create Azure resources using ARM templates, Azure CLI, and Azure PowerShell
-Automate Infrastructure Deployment in the cloud with Terraform and Azure Pipelines
-Manage technical debt with Azure DevOps and SonarCloud
-Discern the importance of Azure using case studies

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 a best fit for:
● Professionals aspiring to clear the Microsoft Certified: DevOps Engineer Expert Exam
● Individuals looking to establish their credibility and value in the market as experienced

DevOps practitioners
● System Administrators
● Software Developers
● Cloud Professionals
● Solution Architects
● Project Manager
● Site Reliability Engineers
● Technical Leads

Pre-requisites
-Foundational knowledge of Cloud architecture
-Fundamentals of Cloud Computing
-Basic understanding of virtualization, networking & databases
-Proficiency in using Visual Studio IDE, PowerShell and Command-Line Interface Working

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

🔵 Intellipaat SQL course: https://intellipaat.com/micros....oft-sql-server-certi

#SQLCourse #SQLTraining #SQLCompleteCourse #SQLTutorial #SQLTutorialForBeginners #SQLQueryTutorial #ImportanceOfSQL #Intellipaat
🔵 Why should you opt for an SQL career?

SQL optimization has always been a popular topic in database management. SQL Database optimization can be an extremely difficult task, particularly for large-scale data wherever a minute variation can result or impact the performance. So learning this skill will definitely help you grab the best jobs in top MNCs after finishing Intellipaat SQL online training.
The entire Intellipaat SQL course is in line with the industry needs. There is a huge demand for SQL-certified professionals. The salaries for SQL professionals are very good. Hence this Intellipaat SQL database tutorial for beginners is your stepping stone to a successful career!

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🔵 If you’ve enjoyed this SQL Server Issues And Solutions video, Like us and Subscribe to our channel for more similar informative SQL course tutorials.
Got any questions about SQL video? Ask us in the comment section below.

🔵 For more information:
Call Our Course Advisors IND: +91-7022374614 , US: 1-800-216-8930 (Toll-Free) [email protected]

Website: https://intellipaat.com/micros....oft-sql-server-certi

( Data Science Training: https://www.edureka.co/data-sc....ience-r-programming- )
This "Machine Learning with R" video by Edureka will help you to understand the core concepts of Machine Learning followed by a very interesting case study on Pokemon Dataset in R. This tutorial will comprise of these topics:

1. Understanding Machine Learning
2. Applications of Machine Learning
3. Types of Machine Learning Algorithms
4. Case Study on the "Pokemon Dataset" to implement Machine Learning Algorithms

Subscribe to our channel to get video updates. Hit the subscribe button above.

Check our complete Data Science playlist here: https://goo.gl/60NJJS

#LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience

How it Works?
1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
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. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

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Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

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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Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "

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In this video on large language models, we’ll take a look at Large Language Models (LLMs) and understand what they are all about. First, we’ll explain what LLMs are and why they’re becoming so important in the world of technology. You’ll learn what these models do and how they’re used in areas like healthcare, finance, and customer service. We’ll also talk about how large language models are trained. These models use huge amounts of data to learn and create human-like text. We’ll break down how they work, from understanding language to predicting what comes next in a sentence.
Lastly, we’ll explore where LLMs are used today, such as in chatbots, content creation, and translations. These models are helping businesses work smarter and faster.

00:00 Introduction to LLMs
02:17 What are large language models?
03:22 How LLMs are trained?
05:05 How LLMsWork?
05:48 Applications Of LLMs

What is a large language model?
A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data — hence the name "large." LLMs are built on machine learning: specifically, a type of neural network called a transformer model.

Is ChatGPT a large language model?
The reason is that Large Language Models like ChatGPT are actually trained in phases. Phases of LLM training: (1) Pre-Training, (2) Instruction Fine-Tuning, (3) Reinforcement from Human Feedback (RLHF).

What are LLM examples?
For example, LLMs could be used to create personalized education or healthcare plans, leading to better patient and student outcomes. LLMs can be used to help businesses and governments make better decisions by analyzing large amounts of data and generating insights.

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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.

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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
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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.

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