Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka

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🔥 Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training
This Edureka video on “Artificial Intelligence” will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.

Following topics are covered in this video:
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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Python Course: https://www.youtube.com/watch?v=vaysJAMDaZw
Statistics and Probability Tutorial: https://www.youtube.com/watch?v=XcLO4f1i4Yo

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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 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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Prerequisites

There are no prerequisites for enrolment 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 sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

Comments

edureka! says:

Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka AI & ML Engineer Masters Program Course curriculum, Visit our Website: http://bit.ly/2wziDSd

QODRAT AIDIL AKBAR says:

09:50

milimo mashini says:

Good stuff i highly appreciate

chiyan says:

Thank you so much edureka…

Prem Patel says:

It's so well explained – Excellent delivery of content and command on subject. Brilliant content and easily made understood even for first timer like me

Abdullah Masud says:

But as python uses interpreter how can I protect my code from others

SATISH KUMAR says:

This video is really very helpful.Thanks Alot.

Nidhi Prakash says:

Thanks a lot! Couldn't find a better video with such well assembled content for AI.

Shashidhar Halakatti says:

This video is highly knowledgeable in this domain, those who want to learn they can make this video highly optimize to gain knowledge in Artificial Intelligence.

Brayo Odhis says:

Would love a link to the dataset used😇

Rahul Chaudhary says:

Exceptional video..

Rishi Kumar says:

Lekha from edureka…
Thanks a lot sis

Sulabh Shrivastava says:

The tutor is ourstanding. One of the best tutorial out their for beginners. She has done a commendable job

Mo Meraj says:

Thank you for the video but the my cocern is here if the video is in jupyter notebook is more helpfull for me. but again Thanks alot for this video .

Johaina BEN says:

Thanks a lot very interesting topic

Maitrayan Ghosh Roy says:

Python & R

Hd Guru says:

Thanks for this video it helped me alot

Shankar Wagh#SNR says:

Nice video
plz make another video for AI Practical application…

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