Machine Learning Crash Course | Machine Learning Tutorial | Machine Learning Projects | Simplilearn
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Machine Learning is the most debated technology of the 21st century. In this machine learning crash course, you will learn about the basics of machine learning and the various applications of machine learning. You will understand the different machine learning algorithms with hands-on demo in Python and get an idea about a machine learning engineer's salary, roles, and responsibilities.
Below topics are explained in this Machine Learning tutorial:
00:00:00 Basics of machine learning python
00:08:42 Machine learning python vs Deep learning vs Artificial Intelligence
00:12:10 Human vs Artificial Intelligence
00:14:06 What is Machine learning python and Deep Learning all about?
00:26:22 Types of AI and Machine Learning
00:35:12 Application of machine learning
00:40:06 Machine learning Algorithms Classification
01:25:33 what is Clustering
01:26:19 K-means Clustering
01:55:55 Logistic Regression
02:21:26 what is a random forest
02:30:08 How does Random forest work?
03:00:07 Naive Bayes
03:42:35 Machine learning Engineer salary, Roles, and responsibilities
03:42:40 Who is a machine learning engineer
03:43:40 Responsibilities of a Machine Learning Engineer
03:48:03 Sills of a Machine Learning Engineer
03:54:06 Resume of a Machine Learning Engineer
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➡️ 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
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- 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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