Artificial Intelligence Course | Learn Machine Learning and Artificial Intelligence | Intellipaat

In this video, you will learn artificial intelligence and machine learning course full online from scratch. You will learn all the major concepts required to become an ai engineer. You will also work on real-world projects to understand the concepts in a better way.
#MLAICourse #ArtificialIntelligenceCourse #MachineLearningCourse #ArtificialIntelligence #MachineLearning

If you’ve enjoyed this Machine Learning and artificial intelligence full course video, Like us and Subscribe to our channel for more similar videos and free tutorials.
Got any questions? Ask us in the comment section below.

----------------------------
Intellipaat Edge
1. 24*7 Life time Access & Support
2. Flexible Class Schedule
3. Job Assistance
4. Mentors with +14 yrs
5. Industry Oriented Course ware
6. Life time free Course Upgrade
------------------------------

Why Artificial Intelligence is important?

Artificial Intelligence is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Artificial Intelligence that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat deep learning training & Artificial Intelligence Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

Why should you opt for a Artificial Intelligence career?

If you want to fast-track your career then you should strongly consider Artificial Intelligence. The reason for this is that it is one of the fastest growing technology. There is a huge demand for professionals in Artificial Intelligence. The salaries for A.I. Professionals is fantastic.There is a huge growth opportunity in this domain as well.
------------------------------
For more Information:

[Intellipaat]

Guys, what else do you want to learn from Intellipaat? Comment down below and let us know so we can create more such tutorials for you.

[Intellipaat]

🔥🔥🔥Following topics are covered in this video:
01:37 - AI in Bigger Set
02:27 - Machine Learning around us
05:40 - Introduction to Machine Learning
06:17 - How does Machine Learn?
07:24 - Types of Machine Learning
07:32 - Supervised Learning
09:40 - Unsupervised Learning
12:08 - Reinforcement Learning
14:12 - Machine Learning Algorithms
14:50 - Introduction to Deep Learning
17:15 - Applications of Deep Learning
18:20 - How Deep Learning Works?
19:43 - What is a Neural Network?
20:34 - Artificial Neural Network(ANN)
21:44 - Topology of a Neural Network
22:37 - How Neurons Work?
24:15 - How Perceptron Work?
26:58 - Activation Function
27:20 - Types of Activation Functions
30:07 - Training a Perceptron
31:10 - Perceptron Training Algorithm
32:01 - Benefits of using Artificial Neural Network
33:45 - Deep Learning Frameworks
37:15 - What are Tensors?
39:15 - Program Elements in TensorFlow
59:55 - Neural Networks
04:31:43 - What is Machine Learning
04:32:38 - Traditional Programming vs Machine Learning
04:34:00 - Machine Learning Use cases
04:36:06 - Machine Learning Process
04:39:08 - How to become a Machine Learning Engineer
04:39:43 - Companies using Machine Learning
04:41:23 - Steps to Become a Machine Learning Engineer
04:44:12 - Machine Learning Demo
04:53:27 - Machine Learning Types
04:54:09 - Types of Supervised Learning
04:54:15 - Classification
04:55:43 - Classification Algorithm-Decision Tree
04:56:15 - Regression
04:56:53 - Use Case of Supervised Learning
04:58:45 - Unsupervised Learning
04:59:21 - K-means Clustering
05:00:10 - Use case of Unsupervised Learning
05:00:58 - Reinforcement Learning
05:01:51 - Use case of Reinforcement Learning
05:04:05 - Quiz
05:04:23 - Statistics and Probability
05:26:30 - Descriptive Statistics
05:52:14 - Defining various Terms
06:07:21 - What is Probability?
06:11:52 - Three Approaches to Probability
06:23:06 - Bayesian Theorem
06:29:06 - Reviewing Probability rules
06:37:19 - Contingency Table
06:44:07 - Join, Marginal and Conditional Probabilities
07:06:06 - Bayesian Tree
07:17:29 - Quiz
07:19:45 - Sampling Distribution
07:39:30 - Stratified Sampling
08:16:55 - P-value
08:20:56 - Poisson Distributions
08:26:54 - Deep Learning
08:29:20 - Applications of Deep learning
08:31:47 - What is a Neural Network?
08:32:38 - Artificial Neural Network
08:33:49 - Topology of a Neural Network
08:34:41 - How Neurons Work?
08:36:20 - How does Perceptron work?
08:42:01 - training a Perceptron
08:45:38 - Deep Learning frameworks
11:05:34 - Machine Learning Project

[pravingupta]

7:44 your voice like bharani akela sir

[shweta]

sir at 2:23:03, constant terms are added while taking integration, in differentiaton if we arise a new constant then it would create a new dependently varying term in the actual function.

[arpitdogra]

can we add the more then 1 bias into neural network ?
if we can't then why we can't do that ?
and what is the main purpose of bias, i mean why we need to add bias into it ?

[drlakshmans]

Sir Iam a doctor.. and absolutely don’t have any software knowledge.. but I want to be part of healthcare sector in future where there is huge scope for AI and ML.. can I start learning AI and ML now and make my career in this? Is it really possible ?

[virendragupta]

Sir,
I'm msc(mathematics) interested in data science course.
Please guidance you

[LearnTechTrick]

Selute sir ji.
Your work is awasome.
How can you gave so much tutorial in free.

Great sir ji👍🙏

[sairockzchannel]

Please upload ethical hacking also
I have lots of friends to recommend

[NEXTCHAPTERthth]

This video should be on trading really jis din aisa ho gya to samjo hum super power ban gye

[ashok]

Hey I am pursuing my BTech in ME dept. So, iam interested in this so please help.

[alienhunter]

Anyone who did full course from this complete video on Artificial intelligence and machine learning

[rupanshu-ve]

Can you please tell me for which age group this is

[pravingupta]

42:42 it is showing error sess.run([con1, con2, con3, con4]) how to solve it

[IFeelPositiveLife]

What preparations needed before starting learning this?? I mean programming and technical skills?

[paramjeetsingh]

Is it complete course to crack an interview

[rytech]

Where to type code which soft ware using to write the code

[garvitpahwa]

is this course full course or what I have to learn further cuz I have completed this course. Thanks for the free content btw

[sravi]

Sir kuch batein English main sunjhe nhi aati so please hindi main bana doo lecture

[aishwaryabimaljoy]

sir why i not able to get the output when i run "sess=tf.Session()" its coming as tensorflow does not have module "session"