In this tutorial, we will cover Unit 3: Math for AI (Statistics & Probability) of PART B – Subject Specific Skills.
Unit 3: Math for AI (Statistics & Probability)
In the table below, we have detailed the division of Unit 3 into subunits and topic descriptions.
| Unit | Subunits | Session | Topics |
| Unit 3: Math for AI (Statistics & Probability) | 3.1 | Importance of Math in AI | • The applications of Mathematics in AI • The different mathematical concepts important for understanding AI |
| 3.2 | Statistics | • Use of statistics in different AI applications | |
| 3.3 | Probability | • Use of probability in different AI applications |
In this chapter, we will study the importance of mathematics in Artificial Intellegence and how mathematics works behind different AI algorithms and applications.
3.1 Importance of Math in AI
Our computer understands the language of numbers. Similarly, AI algorithms convert all textual, visual, and audio data into numbers to understand it.
Math is the study of patterns, order, or arrangement around us. Every numbers, image, and words are converted into a list of numbers that have certain patterns. Identifying these patterns is important to understand mathematics and to understand data for AI.
AI is a way to recognize patterns to make decisions. For the AI to study and recognize patterns, it needs Mathematics.
Important Mathematical Concepts for Understanding AI
Below are the important mathematical concepts for understanding AI:
1. Linear Algebra
Linear Algebra to find out the unknown and missing, and to understand the basics of data. Learn the basics of Linear algebra by clicking the link below:
2. Calculus
Calculus is for training and optimizing algorithms.
Will post a detailed blog on Calculus soon.
3. Coordinate Geometry
Coordinate Geometry to understand the Geometry of shapes. Learn the basics of Coordinate Geometry by clicking the link below:
4. Statistics
Statistics is for exploring data. We will discuss statistics in detail in the next section of this chapter.
5. Probability
Probability is for predicting events. We will discuss probability in detail in this chapter.
The Applications of Mathematics in AI
Real-life examples using mathematics for different AI applications:
- Voice Assistants (Alexa, Siri): Probability + Algebra
- Face Unlock in phones: Geometry + Linear Algebra
- Weather Forecasting: Statistics + Probability
- Recommendation Systems (Netflix, eCommerce): Linear Algebra + Statistics
- Self-driving Cars: Calculus + Geometry
3.2 Statistics
Statistics is used for collecting, exploring, and analyzing data. It also helps in understanding and concluding data.
Will post a detailed blog on Statistics soon.
3.3 Probability
Probability is a way to tell us how likely something is to happen.
Will post a detailed blog on Probability soon.
Stay Tuned!!
Stay tuned with us at www.datasciencehorizon.com for upcoming content.
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Click on the links below to understand some more basic concepts of mathematics necessary for a strong foundation of AI.
Keep Learning and Keep Implementing!!
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