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Basics Of Artificial Intelligence | AI Basics For Beginners | AI Training For Beginners |Simplilearn
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Welcome to our Basics Of Artificial Intelligence video. In this informative and engaging video, we delve into the fundamental concepts of Artificial Intelligence (AI). Whether you're new to the field or simply looking to refresh your knowledge, this video has got you covered. We'll explore the definition of AI and its various branches, including machine learning. Discover how AI systems learn, reason, and make decisions, and gain insights into the different types of AI applications in today's world. Join us as we demystify AI and provide you with a solid foundation to better understand this exciting field. Don't forget to like, subscribe, and hit the notification bell to stay updated with our future videos on AI!
Here in this Basics Of Artificial Intelligence video, we start with:
00:00:00 Introduction to Basics Of Artificial Intelligence
00:05:42 What is Artificial Intelligence?
00:09:30 AI Roadmap for 2023
00:16:49 Types Of Artificial Intelligence
00:24:42 Top 10 AI Applications
00;35:28 Future of Artificial Intelligence
00:41:02 What is Machine Learning?
00:46:09 Types Of Machine Learning
01:07:38 Linear Regression Analysis
03:12:00 Classification In Machine Learning
04:46:56 Top 10 AI Tools For 2023
04:53:15 Top 10 AI Robots In 2023
04:59:44 Top 10 Artificial Intelligence Project Ideas 2023
05:13:15 Career Opportunities In Artificial Intelligence 2023
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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…
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This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.
Topics covered:
00:00 - Introduction
01:05:02 - Role of data scientist
01:48:19 - Data life cycle
02:41:48- Probabality
02:58:15 - Bayes's theorem
03:34:18 - Salary
03:51:32 - Regression in machine learning
05:06:38 - Decission tree algorithm
06:19:18 - KNN algorithm
06:51:40 - Naive bayes classifier
07:37:33 - Clusterring
08:05:53 - Apriori algorithm
08:27:23 - Reinforcement learning
08:48:48 - Deep learning
09:41:05 - Interview questions
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👇👇Following topics are covered in this Azure tutorial:👇👇
00:00 - Azure Training
01:34 - Why Azure?
06:43 - What you can do with Azure free account?
13:08 - Average Salary of an Azure Solutions Architect
14:15 - What is Azure Tutorial?
19:05 - Azure Services
26:15 - Demo on Launching a Virtual Machine on Azure cloud
47:45 - Introduction to Cloud Computing
54:02 - Advantages that you get with Cloud Computing
54:55 - Applications or Products of Cloud
57:15 - Cloud Computing Models
01:00:45 - Deployment Models
01:09:10 - Service Models
01:10:56 - Cloud Providers
01:15:50 - Why Microsoft Azure?
01:19:55 - What is Microsoft Azure?
01:20:43 - Azure Core Architecture
01:30:10 - Azure Core Architecture Components
01:33:40 - Azure Resource Manager
01:38:20 - Core Azure Services - Domains
01:45:00 - Core Azure Services - Compute
02:00:13 - Creating a Virtual Machine on Azure
02:24:28 - Core Azure Services - Networking
02:42:30 - Core Azure Services - Storage
02:53:58 - Hands-on: Azure Blob Storage
03:04:35 - Core Azure Services - Database+Analytics
03:18:25 - Core Azure Services - AI + Machine Learning
03:24:12 - Core Azure Services - Identity Services
03:28:00 - Core Azure Services - Management Tools
03:36:10 - Hands-on: Architecting an Application on Azure
04:02:55 - Quiz
04:04:02 - What is Azure DS?
04:06:38 - Features of Azure DNS
04:11:04 - Domain of Azure DNS
04:16:45 - Azure DNS: DNS Zones
04:21:00 - Azure DNS: DNS Records
04:23:15 - Azure DNS: DNS Records Types
04:27:54 - Azure DNS: Registrar
04:28:28 - Azure DNS: Private Domains
04:30:49 - What is Active Directory?
04:37:29 - Before Azure Active Directory?
04:40:09 - After Azure Active Directory?
04:43:20 - Windows Active Directory vs Azure Active Directory
04:43:23 - What is Windows Active Directory?
04:48:06 - Service Audience
04:49:44 - Terminologies in Azure Active Directory
04:53:08 - Adding the Custom Domain in the Azure Active Directory
05:03:30 - Add or Delete users using Azure Active Directory
05:18:24 - Quiz
05:18:46 - What is Virtual Machine?
05:21:58 - What is Azure Virtual Machine?
05:26:16 - Azure VM: Classic and ARM
05:28:00 - Azure VM: Workloads
05:31:58 - Azure VM: Sizing
05:33:33 - Azure VM: ACU
05:35:48 - Azure VM: Disks
05:38:24 - Azure VM: Types of Disks
05:43:08 - Azure VM: Disks used by VMs
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05:48:26 - Azure VM: Managed Disks
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06:10:58 - Azure Storage: Replication
06:11:43 - Azure Storage: Differences
06:12:13 - Azure Storage: Tiers
06:12:51 - Azure Storage: Security
06:14:42 - What is Azure Blob Storage?
06:22:36 - What is Azure File Storage?
06:31:56 - What is Azure Table Storage?
06:33:52 - What is Azure Queue Storage?
07:32:25 - Which Azure Certification to choose?
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This "Top 10 Applications of Machine Learning in 2021" video will give you an idea of how vast the machine learning is and how commonly you are using it in your day to day life.
Topics covered in this session:
00:00 Introduction
00:33 Google Maps
02:01 Facebook
03:38 UberEats
05:15 Amazon
06:16 iPhone
07:52 Tesla
09:49 Netflix
10:32 Moley
11:43 Google Translate
12:43 Kuka
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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!
- - - - - - - - - - - - - - - - -
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 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
- - - - - - - - - - - - - - - - - - -
Why learn Machine Learning with Python?
Data Science is a set of techniques that enable the 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.
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Unsupervised learning is a machine learning technique to build models from unlabeled data. This video covers all the basics of unsupervised learning algorithms along with the applications. You will learn what clustering is and the different types of clustering, such as hierarchical and K Means Clustering. Finally, you will build clustering models in Python to solve business problems.
1. Learning Objectives - 00:15
2. Overview - 00:25
3. Examples and applications of unsupervised learning - 02:17
4. Clustering - 04:37
5. Hierarchical Clustering - 06:27
6. Hierarchical Clustering Example - 08:47
7. Demo: Clustering animals - 11:37
8. K Means Clustering - 16:27
9. Optimal Number of Clusters -18:17
10. Demo: Cluster Based Incentivization - 20:27
11. Key Takeaways - 28:17
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#UnsupervisedLearning #UnsupervisedLearningAlgorithms #WhatisUnsupervisedLearning #MachineLearningTutorial #Simplilearn
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
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.
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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
- 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=UnsupervisedLearning-D6gtZrsYi6c&utm_medium=Description&utm_source=youtube
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688