Learn Artificial Intelligence (AI) - A completer Road-map

A completer roadmap to learn Artificial Intelligence

Learning Artificial Intelligence (AI) from scratch to advanced level can be a challenging but rewarding journey. Here are some steps to get you started:

 

1. Understand the basics: Start by understanding the basics of AI. AI is the process of using machines to simulate human intelligence, such as learning, problem-solving, and decision making. Machine learning (ML) is a subset of AI, where machines learn from data and improve their performance over time without being explicitly programmed.

2. Learn programming: You need to have a good understanding of programming concepts and languages such as Python, Java, or C++. Python is a popular choice for AI programming due to its simplicity and extensive libraries.

3. Get familiar with data: AI is data-driven, so you need to understand data structures, manipulation, and analysis. Learn how to work with datasets using tools such as pandas, numpy, and scikit-learn.

4. Study algorithms: Understanding algorithms and their application is critical for AI development. Learn about classification, regression, clustering, and other machine learning algorithms.

5. Implement projects: Implement projects such as sentiment analysis, image recognition, and chatbots. This will help you gain experience in working with real-world AI problems.

6. Explore deep learning: Deep learning is a subset of machine learning that uses neural networks to learn from data. Learn about neural networks, convolutional neural networks, and recurrent neural networks.

7. Practice with frameworks: There are several AI frameworks available, such as TensorFlow, Keras, and PyTorch. Learn how to use these frameworks to build AI models and applications.There are many sources available to learn AI, and the top 5 sources are:

8. Stay up to date: AI is a rapidly evolving field, so staying up to date is crucial. Read blogs, attend conferences and workshops, and participate in online communities to keep abreast of the latest developments.

Remember, learning AI takes time and effort. Start with the basics, practice, and keep learning. So here I am putting a completer tutorial link of best youtuber of AI tutor and as well as best blogger related to Artificial Intelligence

1. TensorFlow: TensorFlow is an open-source AI framework developed by Google. The official TensorFlow YouTube channel offers a range of tutorials, demos, and live streams on various topics related to AI and machine learning.

2. sentdex: sentdex is a popular YouTube channel that offers a range of tutorials on AI, machine learning, and data science. The tutorials cover topics such as neural networks, computer vision, and natural language processing.

3. Two Minute Papers: Two Minute Papers is a YouTube channel that covers the latest research in AI and machine learning. The channel offers short, easy-to-understand videos that explain the latest research papers and techniques.

4. Coursera: Coursera is an online learning platform that offers a variety of courses, including AI and machine learning. The courses are designed and taught by leading experts in the field and cover topics such as deep learning, neural networks, and computer vision.

5. edX: edX is another popular online learning platform that offers courses in AI and machine learning. The courses are designed and taught by top universities, including MIT and Harvard, and cover topics such as natural language processing, reinforcement learning, and data science.