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

By admin | January 18, 2022 |

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

๐Ÿ”ฅ Machine Learning Engineer Masters Program (Use Code “๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ”): 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:
00:00 Introduction
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 Full Course: https://www.youtube.com/watch?v=WGJJIrtnfpk
Statistics and Probability Tutorial: https://www.youtube.com/watch?v=XcLO4f1i4Yo

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๐Ÿ”ตPython Programming Certification: http://bit.ly/37rEsnA
๐Ÿ”ตPython Certification Training for Data Science: http://bit.ly/2Gj6fux

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๐Ÿ”ตData Scientist Masters Program: http://bit.ly/2t1snGM
๐Ÿ”ตMachine Learning Engineer Masters Program: https://bit.ly/3Hi1sXN

———–๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐”๐ง๐ข๐ฏ๐ž๐ซ๐ฌ๐ข๐ญ๐ฒ ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ———-

๐ŸŒ•Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
NIT Warangal: https://bit.ly/3qdRRdw

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#edureka #aiEdureka #artificialIntelligence #artificialIntelligenceTutorial #artificialIntelligenceFullCourse #artificialIntelligenceEngineer

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About the Masters Program

Edurekaโ€™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 Markovโ€™s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods.

———————-

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.

Please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information

Posted in Domain Suffixes

50 Comments

  1. Misbah Kanwal BCS-19-248 on January 18, 2022 at 5:03 pm

    Can you please provide me the Slides of the AI, that you have been discussed in this video. It’s really helpful for me but I have spent a lot of time making notes of slides. So kindly provide the notes if possible.



  2. Ayshath Thasmiya on January 18, 2022 at 5:05 pm

    Do edureka have an advanced course on ai in YouTube?



  3. Kankan jyoti Nath on January 18, 2022 at 5:06 pm

    This channel really depicts how education is basically for free.You just need the heart to learn it.



  4. Amit Singh on January 18, 2022 at 5:07 pm

    Please provide us PDF link so that we can revise it.



  5. edureka! on January 18, 2022 at 5:08 pm

    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 (Use Code "๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ")



  6. Minhaz Uddin on January 18, 2022 at 5:08 pm

    I like the greeting; Zuleka from Edureka.



  7. rahil ahmed on January 18, 2022 at 5:08 pm

    Keep it up edureka!



  8. Halima Ghannoum on January 18, 2022 at 5:09 pm

    Best AI video ever!!Thank you so much



  9. Krishna Kumar on January 18, 2022 at 5:09 pm

    Hi..pls share course cost details of AI



  10. ~ABCD~ on January 18, 2022 at 5:09 pm

    *Nice presentation๐Ÿ™๐Ÿ™*



  11. Edwin van Tricht on January 18, 2022 at 5:09 pm

    Not a programmer myself, but learned a lot! If I could receive the presentation and code that would be great!



  12. Keerthi N on January 18, 2022 at 5:10 pm

    Fantastic channel than any other one…. trust me u can learn every small thing clearly in every video…. I’m soooo happy ๐Ÿ˜€๐ŸคŸ thanks a lot edureka…. Keep going
    wonderful jobโค๏ธ



  13. Nitin Rawat on January 18, 2022 at 5:10 pm

    m likings all the CMT



  14. Righteous Ness on January 18, 2022 at 5:11 pm

    Excellent teaching. This was my first time learning AI and was relatively easy to understand the main concepts.



  15. Mark on January 18, 2022 at 5:12 pm

    Thanks for the video!



  16. I m Sangamesh on January 18, 2022 at 5:12 pm

    Thanks so much ma’am it was very good and most informational video โค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธโค๏ธ



  17. Kushal on January 18, 2022 at 5:14 pm

    can I get that python codes ,so I can run in my system and understand it more clearly



  18. Ritu Srivastava on January 18, 2022 at 5:15 pm

    Great efforts! Totally worth it having this tutorial as a beginner.



  19. Amitanandan ojha on January 18, 2022 at 5:15 pm

    hi i have a question that while u are giving demo which software did u use is it vs code?๐Ÿค”



  20. universal_motive on January 18, 2022 at 5:17 pm

    Best teachings ever….. i have come across many videos regarding AI but this is the best … thank u so much edureka…



  21. Ritik Mangal on January 18, 2022 at 5:18 pm

    Can you provide pdf of these slides



  22. Amit Rao on January 18, 2022 at 5:21 pm

    appreciate the content, the only suggestion if you can explain the notation and terms in the beginning of the video so can be understood at the right place. Thanks for valuable videos.



  23. Halima Ghannoum on January 18, 2022 at 5:25 pm

    hey can you please share the ppt with us



  24. Nikhill Umesh on January 18, 2022 at 5:25 pm

    can anyone learn AI without python ?



  25. anonymous on January 18, 2022 at 5:27 pm

    I want to thank specially to mam , ur clarity of speaking , teaching is the best ๐Ÿ‘๐Ÿ’ฏ , ur presentation was great and thanks to edureka team to give such video or guidance for free on ai or machine learning.



  26. Kangan Agarwal on January 18, 2022 at 5:29 pm

    This video is good even for learning machine learning ๐Ÿ‘



  27. Sakthivel on January 18, 2022 at 5:30 pm

    Madam full artificial course are complete this video



  28. Venkatesh R on January 18, 2022 at 5:30 pm

    Do we have any scholarships for paid course



  29. Anmol Basaiwal on January 18, 2022 at 5:30 pm

    3:26:35, "this is 1 coma 4 and this is 1 coma 5". the -1 between them is 1 coma 4.5



  30. Apramya tech on January 18, 2022 at 5:30 pm

    Thanks for wonderful vedio on AI .I am going to start my career after ten years. I want to do research on AI. It’s very useful for starting.Please keep making further….



  31. AWS Dev on January 18, 2022 at 5:30 pm

    I did my MTech in Artificial Intelligence in 1998-2000. Watching this course is bringing all those concepts back to life. My sincere thank you!



  32. Electronics with Madhan on January 18, 2022 at 5:30 pm

    Sir I have one doubt, since unsupervised learning uses patterns to group the input data, that means whether they uses image recognition process? If yes means then it will become a slow process because we are using lot of images, then how it will be possible?



  33. Ashwini palkar on January 18, 2022 at 5:31 pm

    Very good course๐Ÿ‘๐Ÿ™‚



  34. Mohammad Anis on January 18, 2022 at 5:32 pm

    Thanks to the power dear authority. You are doing a philanthropic work. These courses are huge paid. But you are providing with great presentation. Though I am a student of class 9, I love to watch. May Allah endow you all with great success . also pray for my bright future



  35. Abaan Ahmed on January 18, 2022 at 5:33 pm

    Best AI course ever!!!!!!



  36. Ankita's Tech Tutorials on January 18, 2022 at 5:33 pm

    Perfect



  37. Soumya Chourasia on January 18, 2022 at 5:35 pm

    superb



  38. wenyang Yao on January 18, 2022 at 5:37 pm

    could i get the codes in python in the lecture?



  39. Rukshana Khatoon on January 18, 2022 at 5:39 pm

    Thank you soo much for such an informative video.. I loved it.. Thank you to whole team. โค



  40. Cheikh DIOUF on January 18, 2022 at 5:41 pm

    good job



  41. Muhammad Afif Hidayat on January 18, 2022 at 5:42 pm

    How can I find the datasets?



  42. qwertykpop on January 18, 2022 at 5:43 pm

    Pdf of this lecture????



  43. Sahil Choudhary on January 18, 2022 at 5:47 pm

    This is so far the most easy & basic way to learn AI. You did woke up my interest in AI.



  44. Simran on January 18, 2022 at 5:49 pm

    You explain each and every topic in well manner way through animation. It is very interesting and fun to learn. Can you please provide the summary or details explanation of all the topics shown in video through a website or link . Which can be beneficial for us to future reference or revision.



  45. Nilesh Panchal on January 18, 2022 at 5:52 pm

    It was really good Tutorial. Explained in a very nice and simple way. Thanks a lot..



  46. Amit Singh on January 18, 2022 at 5:52 pm

    Thank you so much for providing this course. โ™ฅ๏ธ I want to download the pdf so that I can revise it by myself whenever i want. Please provide.me link of this pdf so that I can download.it.



  47. injoy inmyself on January 18, 2022 at 5:53 pm

    Great video ๐Ÿ‘๐Ÿ‘๐Ÿ’š๐Ÿคฒ
    Using A.I for netflix and youtube recommendations, creates a feedback loop, which releases endorphins, this is the design for a user input digital drug.๐Ÿ‘



  48. Abu Talib on January 18, 2022 at 5:58 pm

    Very good content indeed!!



  49. GAMING VIBES on January 18, 2022 at 6:01 pm

    Please provide us PDF



  50. ali mobedi on January 18, 2022 at 6:02 pm

    Finally finished it! It was great. But definitely took me more than 4.75 hours ๐Ÿ˜‚โœŒ๏ธ thank you!