AI And Machine Learning Full Course | Artificial Intelligence & Machine Learning Course |Simplilearn

This complete Artificial Intelligence and Machine Learning full course video covers all the topics that you need to know to become a master in the field of AI and Machine Learning. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. You will see the top 10 applications of AI in 2021. Then, we will understand Machine Learning and Deep Learning and the different algorithms used to build AI models. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2021.

00:00:00 Basics of Machine Learning
00:14:09 AI Tutorial
00:49:57 Machine Learning Algorithm
04:06:36 Deep Learning Basic
05:21:23 Neural network
05:57:51 TenserFlow 2.0
07:34:44 What are GANs
07:43:51 Keras Framework
08:54:50 Recurrent Neural network

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What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

➡️ 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…

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - [phone]

[rahulmukherjee]

11:45
Scenario 1: Supervised leaning
Scenario 2: Supervised learning
Scenario 3: Unsupervised learning

Reason: Scenarios 1 and 2 are labeled, photos are name-tagged and movies have genres (tagged) which can be used for the prediction.
However, scenario 3 has to be identified by the time of transaction, amount transacted, geographic location and frequency among other factors. So it would be unsupervised.

[mutairuonaido]

Your approach in breaking down AI/ML concept is superb!!! Please give more of this. More power to your elbow👍👍

[omkarsingh]

Can you enable subtitles please. It will helpful.

[ahmadsalihy]

Hello thanks for this nice tutorial and I need a tutorial on Artificial Immune System Algorithm and it’s supplications

[nailayamin]

Thank you so much for this video. I feel lucky enough to find this tutorial. Can I get the data set and all this information in one file so that I can learn more about this.

[amitprakash]

12:09
1.) supervised
2.) unsupervised
3.) reinforcement

[PRAGYASINGH-ngvg]

ai/ml li new streaming kr do, will be reallly helpful

[Sss-kjev]

I am lucky to learn from such tutors..

[tanayvekariya]

12:10
Scenario 1 : Supervised
scenario 2 : UnSupervised
Scenario 3 : Reinforcement

[pocayhemphman]

Great video! can you please share the dataset mentioned in the course?

[varshakamble]

If you share this data with us then it's very useful to do practicaly

[EDUTECHHUB]

12:12
A supervise b unsupervised c supervise

[prashanttiwari]

4:28:33 you told 5 types of neural network : ANN, CNN, RNN, DNN & DBN, then how 5:26:04 CNN & RNN become parts of ANN ?

[zwarriortrading]

great video can I get all the datasets?

[doraicharansimhamuthineni]

5:50 quiz : I think B
12:12 quiz
1- unsupervised
2 - supervised
3 - unsupervised

[ynsoni]

Colleges should be ashamed for charging thousands of dollars and still managing to make lectures boring as hell.

These free learning platforms are more engaging, easy for even beginner to understand and much much higher quality.

Thank you guys for creating this content and making it available for everyone 🙏

[MaxwellMhone]

hello can you please share the practice files for this course

[GauravSingh-efti]

Pls provide this course in hindi also 🙏

[sirf_sachai]

which laptop is best for AI &ML for advanced level'

[amiterp]

Very informative 👍... Do you have any vedio on python??