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This Artificial Intelligence and Machine Learning full course video cover all the topics that you need to know to become a master in the field of AI and Machine Learning. This AI tutorial 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 AI Tutorial For Beginners 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. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2021.
00:00:00 Introduction to AI Tutorial
00:06:50 Basics of AI and ML
00:09:10 Machine Learning Algorithms
00:09:19 Supervised Machine Learning
00:10:10 Unsupervised Machine Learning
00:11:00 Reinforced Learning
00:11:29 Machine Learning Model
00:12:55 Applications of Machine Learning
00:14:07 AI Tutorial
00:16:00 Types of AI
00:18:20 Achieving Artificial Intelligence
00:24:55 Usecase on AI and ML
00:54:00 Linear Regression
01:19:20 Linear Regression Use case
01:20:00 Multiple Linear Regression
01:22:12 Decision Tree
01:28:20 How Decision Tree Works
02:26:57 Support Vector Machine (SVM)
02:53:48 What is the KNN algorithm?
03:18:18 K Means Clustering
04:08:54 Deep Learning
04:45:39 TensorFlow
05:28:40 Keras
05:57:00 Keras Usecase
07:34:38 What are GANs?
09:07:28 LSTM
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⏩ Check out the Artificial Intelligence tutorial videos: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq
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What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (well data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves. In other words, with Machine Learning, computers find insightful information without being told where to look. Instead, they do this by leveraging algorithms that learn from data in an iterative process.
➡️ 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…
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