Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners

Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners

This Edureka video on “Artificial Intelligence Full Course” will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples. The following topics are covered in this Artificial Intelligence Full Course:

00:00 Introduction to Artificial Intelligence Course
02:27 History Of AI
06:45 Demand For AI
08:46 What Is Artificial Intelligence?
09:50 AI Applications
16:49 Types Of AI
20:24 Programming Languages For AI
27:12 Introduction To Machine Learning
28:08 Need For Machine Learning
31:48 What Is Machine Learning?
34:13 Machine Learning Definitions
37:26 Machine Learning Process
49:13 Types Of Machine Learning
49:21 Supervised Learning
52:00 Unsupervised Learning
53:44 Reinforcement Learning
55:29 Supervised vs Unsupervised vs Reinforcement Learning
58:23 Types Of Problems Solved Using Machine Learning
1:04:49 Supervised Learning Algorithms
1:05:17 Linear Regression
1:11:20 Linear Regression Demo
1:26:36 Logistic Regression
1:35:36 Decision Tree
1:55:18 Random Forest
2:07:31 Naive Bayes
2:14:37 K Nearest Neighbour (KNN)
2:20:31 Support Vector Machine (SVM)
2:26:40 Demo (Classification Algorithms)
2:42:36 Unsupervised Learning Algorithms
2:42:45 K-means Clustering
2:50:49 Demo (Unsupervised Learning)
2:56:40 Reinforcement Learning
3:24:36 Demo (Reinforcement Learning)
3:31:41 AI vs Machine Learning vs Deep Learning
3:33:08 Limitations Of Machine Learning
3:36:32 Introduction To Deep Learning
3:38:36 How Deep Learning Works?
3:40:48 What Is Deep Learning?
3:41:50 Deep Learning Use Case
3:43:14 Single Layer Perceptron
3:50:56 Multi-Layer Perceptron (ANN)
3:52:55 Backpropagation
3:54:39 Training A Neural Network
4:01:02 Limitations Of Feed Forward Network
4:03:18 Recurrent Neural Networks
4:05:36 Convolutional Neural Networks
4:09:00 Demo (Deep Learning)
4:29:02 Natural Language Processing
4:30:53 What Is Text Mining?
4:32:43 What Is NLP?
4:33:26 Applications Of NLP
4:35:53 Terminologies In NLP
4:41:19 NLP Demo
4:47:21 Machine Learning Masters Program

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About the Master’s Program

The Master’s program in Machine Learning engineering makes you skilled in techniques such as supervised learning, unsupervised learning, and natural language processing. It includes training on the latest technical developments and methods in artificial intelligence and machine learning such as deep learning, graphical models, and reinforcement learning.

  • The Master’s Program Covers Topics LIke:
  • Python Programming
  • PySpark
  • HDFS
  • Spark SQL
  • Machine Learning Techniques and Artificial Intelligence Types
  • Tokenization
  • Named Entity Recognition
  • Lemmatization
  • Supervised Algorithms
  • Unsupervised Algorithms
  • Tensor Flow
  • Deep learning
  • Keras
  • Neural Networks
  • Bayesian and Markov’s Models
  • Inference
  • Decision Making
  • Bandit Algorithms
  • Bellman Equation
  • Policy Gradient Methods.
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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

The 7 Best AI Courses for 2024

RankTitle LinkPlatformRatingLevel
1AI For EveryoneCoursera4.8Beginner
2Artificial Intelligence NanodegreeUdacity4.8Beginner-Intermediate
3Professional Certificate in Computer Science for Artificial IntelligenceedX4.9Intermediate
4Deep Learning SpecializationCoursera4.9Intermediate
5Self-Driving Cars with DuckietownedX4.9Intermediate
6Natural Language Processing SpecializationCoursera4.6Intermediate
7Artificial IntelligenceOpenCourseWare4.8Intermediate
More details – https://www.learndatasci.com/best-artificial-intelligence-ai-courses/

What is the path of artificial intelligence?

The field of artificial intelligence includes computer science, natural language processing, coding, mathematics, data science, and many other disciplines. An AI tutorial or free AI course for beginners can teach learners the uses of AI for businesses and society. Ethical issues related to artificial intelligence.

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Who is eligible for an Artificial Intelligence course?

Eligibility for Technical Artificial Intelligence course, you must be in 12th classes. Most of these courses are comprehensive courses in the field of artificial intelligence. B. Tech’s AI course details include the basics of AI and Machine Learning (ML) and its typical applications.

Is artificial intelligence a good career?

As artificial intelligence continues to permeate every aspect of our lives, the demand for skilled professionals is increasing exponentially. AI jobs are among the fastest-growing and highest-paying jobs in the technology industry, offering competitive salaries and promising career prospects.

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