Unveiling the Power of Data Science: A Deep Dive into Machine Learning, Mathematics, and Statistics

This presentation provides a comprehensive overview of Data Science, focusing on the essential tools, techniques, and foundational principles. It explores the core concepts of Machine Learning (ML) and introduces the indispensable role of Mathematics and Statistics in the field. The presentation aims to demystify Data Science, making it accessible to a wide audience and equipping attendees with a solid understanding of its fundamental building blocks.

1. Data Science - KabAI Series
A. Simon Alex
BSc(CS), MSc(CS)-MUK
[email protected]
Mathematics & Statistics
Simon Alex October 16, 2024

2. Overview
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Data Science - KabAI Series
What is Data Science?
ML ToolBox
Mathematics & Statistics
Simon Alex October 16, 2024

3. Data Science - KabAI SeriesWhat is Data Science?
What is Data Science?
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Data scientistsmeasurewhereas statisticiansestimate.Simon Alex October 16, 2024

4. Data Science - KabAI SeriesWhat is Data Science?
What is Articial Intelligence?
There have been ve generations of computer evolution.
First generation: vacuum tubes
Second generation: transistors
Third generation: integrated circuits (ICs)
Fourth generation: microprocessors
Fifth generation: articial intelligence
Simon Alex October 16, 2024

5. Data Science - KabAI SeriesWhat is Data Science?
What is Machine Learning?
Simon Alex October 16, 2024

6. Data Science - KabAI SeriesWhat is Data Science?
Applications of Machine Learning
Self-driving cars
Recommendation engines
Spam ltering
Face recognition
Simon Alex October 16, 2024

7. Data Science - KabAI SeriesWhat is Data Science?
Machine Learning Buzzwords
Algorithm
Model
Training data
Testing data
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8. Data Science - KabAI SeriesWhat is Data Science?
Machine Learning Process
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9. Data Science - KabAI SeriesWhat is Data Science?
Machine Learning Types
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10. Data Science - KabAI SeriesWhat is Data Science?
Supervised Learning
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11. Data Science - KabAI SeriesWhat is Data Science?
Unsupervised Learning
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12. Data Science - KabAI SeriesWhat is Data Science?
Types of Problems in Machine Learning
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13. Data Science - KabAI SeriesWhat is Data Science?
Machine Learning Vs. Deep Learning
Figure:
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14. Data Science - KabAI SeriesWhat is Data Science?
Machine Learning Vs. Deep Learning
Figure:
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15. Data Science - KabAI SeriesML ToolBox
ML ToolBox
Data (gold mine)
Infrastructure (platform & tools)
Algorithms (mathematics & data statistics)
Simon Alex October 16, 2024

16. Data Science - KabAI SeriesML ToolBox
Data
Data can be both classied asstructuredorunstructured.
The commonest form of structured data is organized in tables with
rows and columns.
Unstructured data includes images, a collection of pixels, and text,
sequences of words.
Hundreds of interesting datasets can be downloaded from kaggle.com
Simon Alex October 16, 2024

17. Data Science - KabAI SeriesML ToolBox
Tabular Dataset's Structure
Vectors & Matrices
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18. Data Science - KabAI SeriesML ToolBox
Tabular Dataset's Structure
Predictor & Response
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19. Data Science - KabAI SeriesML ToolBox
Infrastructure
Languages Platform Libraries
PYTHON Anaconda, Google Colab Numpy, Pandas, Matplotlib
C, C++
R
MATLAB
Octave
Simon Alex October 16, 2024

20. Data Science - KabAI SeriesML ToolBox
Algorithms
Linear regression
Logistic regression
Decision trees
K-nearest neighbors
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21. Data Science - KabAI SeriesMathematics & Statistics
Mathematics & Statistics
How Important is the Maths?: Required for ne tuning algorithms,
and developing new AI techniques.
Who Does the Maths?: Researcher or manufacturer
Simon Alex October 16, 2024

22. Data Science - KabAI SeriesMathematics & Statistics
References
Dhinakaran, M., et al. Machine Learning For Absolute Beginners.
Booksclinic Publishing, 2023.
Papoulis, Athanasios. Probability and statistics. Prentice-Hall, Inc.,
1990.
Bruce, Peter, Andrew Bruce, and Peter Gedeck. Practical statistics
for data scientists. O'Reilly Media, 2020.
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23. Conclusion
Questions?
Simon Alex October 16, 2024