The document discusses the impact of AI and machine learning on everyday life, detailing how AI can enhance home automation and personal experiences. It outlines the steps of machine learning including data collection, model training, and evaluation, as well as the different types of machine learning: supervised, unsupervised, and reinforcement learning. It also highlights various applications of machine learning, such as image recognition, predictions, and virtual assistants.

2. Going to sleep in your
fully automated
home?
What happens next?
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3. Time for AI to do its
magic!
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4. Lights Out!
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6. You wake up and AI
analyses your mood
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7. Plays music or news
based on your mood
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8. And your cab is
booked in no time!
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9. AI is to create
another human that
does not live but only
thinks
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12. “Machine learning is the scientific
study of algorithms and statistical
models that computer systems use
to perform a specific task without
using explicit instructions, relying on
patterns and inference instead. It is
seen as a subset of artificial
intelligence.”
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13. Steps for Machine Learning
Step 1: Data Collection
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14. Steps for Machine Learning
Step 2: Data Preparation
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15. Steps for Machine Learning
Step 3: Choose a Model
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16. Steps for Machine Learning
Step 4:Train the Model
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17. Steps for Machine Learning
Step 5: Evaluate the Model
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18. Steps for Machine Learning
Step 6: ParameterTuning
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19. Steps for Machine Learning
Step 7: Make Predictions
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20. Types of Machine
Learning
1. Supervised
Learning
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21. Types of Machine
Learning
2. Unsupervised
Learning
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22. Types of Machine
Learning
3. Reinforcement
Learning
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23. Supervised Learning
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24. How do I make my computer
differentiate between them?
Supervised Learning
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25. Supervised Learning
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26. Make the Model!
Supervised Learning
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27. This is a
Pigeon
This is a
Penguin
Supervised Learning
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28. Supervised Learning Algorithms
Linear
Regression
Random
Forest
Decision
Trees
Naïve Bayes
Classifier
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29. So many fruits!Which is
which? I don’t know.
Unsupervised Learning
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30. Model will differentiate!
ShapeColor Size
Unsupervised Learning
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31. Unsupervised Learning
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32. Unsupervised Learning Algorithms
K – Means
Clustering
Apriori
Algorithm
Association
Rules
Hierarchical
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33. Good Action
gives
Reward
Bad Action
gives
Punishment
Reinforcement Learning
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34. This is MarI/O.
An algorithm created by
SethBling, aYouTuber that
learnt to play Super Mario by
itself
Reinforcement Learning
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35. Environment
State
Reward
Action
Agent
Action
Reinforcement Learning
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36. Agent
Reward
State
Reinforcement Learning
Environment
State
Reward
Action
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37. With enough interactions and
training itself, it goes from
being this!
Reinforcement Learning
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38. ToTHIS!
Reinforcement Learning
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39. Applications of Machine Learning
Image Recognition
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40. Applications of Machine Learning
Prediction
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41. Applications of Machine Learning
E-Mail Spam Control
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42. Applications of Machine Learning
Virtual Assistants
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43. Applications of Machine Learning
Product
Recommendation
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44. What can you be with Machine Learning?
Machine
Learning
Engineer
AI Engineer Data Analyst
Data
Engineer
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