How to learn AI in 2024? Beginner Friendly Roadmap #ai
Hey everyone, welcome back to daily tuition. In this video we will look at the roadmap of learning AI.

In this video, it shows the flow-chart of learning AI; insisting that it is necessary to have mathematics and statistics background as well as programming in Python skills. Some of the main concepts of AI involve Machine Learning and Deep Learning which, as mentioned earlier, can be utilized in image recognition or in understanding natural speech. In other words, in order to increase one’s AI aptitude, one needs to upgrade one’s mathematics knowledge, make friends with Python and get acquainted with the basics of Machine Learning (ML) and Deep Learning.

Natural Language Processing is a normal translator adapted to computers which is able to interpret language as humans do and not set languages of marks. Supervised learning means feeding accurate examples for a particular job to a computer programmer, and then teaching it the job whereas unsupervised learning means sorting out similarities of dissimilarities between a pile of materials without instructions.

The applications that are part of generative AI are a super-copying device that can develop a behavioral replicate of a human being. Another exciting field that can learn from previous experiences and also develop and create hypothesis according to an input of the user. Sustaining interest as well as the enthusiasm of acquiring knowledge regarding affairs in the field of AI is of paramount importance of the process towards attaining comprehension.

⏱️ Timestamps ⏱️
0:00 Introduction
0:37 Math Skills
0:52 Programming
1:07 Machine Learning
1:20 Deep Learning
1:40 Natural Language Processing
1:58 Supervise & Unsupervised Learning
3:20 Generative AI
4:11 Convolutional Neural Network
5:00 Computer Vision
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Tags: #ai #concept #beginners

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