Unit-1
Machine Learning
,• what is machine learning?
• Is machine learning hard?
• what is artificial intelligence, and how does it differ from machine learn
• how do humans think, and how can we inject those ideas into a machin
• some basic machine learning examples in real life .
,Do I need a heavy math and coding background to understand machine learning?
▪ Machine learning requires imagination, creativity, and a visual mind. Machine le
about picking up patterns that appear in the world and using those patterns
predictions in the future.
▪ If you enjoy finding patterns and spotting correlations, then you can do machine
▪ If I were to tell you that I stopped smoking and am eating more vegetables and e
what would you predict will happen to my health in one year? Perhaps th
improve.
▪ If I were to tell you that I’ve switched from wearing red sweaters to green sweat
would you predict will happen to my health in one year? Perhaps that it won’
much.
▪ Spotting these correlations and patterns is what machine learning is about.
difference is that in machine learning, we attach formulas and numbers to these
to get computers to spot them.
▪ Some mathematics and coding knowledge are needed to do machine learning,
don’t need to be an expert.
, • Formulas and code are fun when seen as a language
𝑛
𝑊i
𝑖=1
• When I see something like P(A|B).
Machine Learning
,• what is machine learning?
• Is machine learning hard?
• what is artificial intelligence, and how does it differ from machine learn
• how do humans think, and how can we inject those ideas into a machin
• some basic machine learning examples in real life .
,Do I need a heavy math and coding background to understand machine learning?
▪ Machine learning requires imagination, creativity, and a visual mind. Machine le
about picking up patterns that appear in the world and using those patterns
predictions in the future.
▪ If you enjoy finding patterns and spotting correlations, then you can do machine
▪ If I were to tell you that I stopped smoking and am eating more vegetables and e
what would you predict will happen to my health in one year? Perhaps th
improve.
▪ If I were to tell you that I’ve switched from wearing red sweaters to green sweat
would you predict will happen to my health in one year? Perhaps that it won’
much.
▪ Spotting these correlations and patterns is what machine learning is about.
difference is that in machine learning, we attach formulas and numbers to these
to get computers to spot them.
▪ Some mathematics and coding knowledge are needed to do machine learning,
don’t need to be an expert.
, • Formulas and code are fun when seen as a language
𝑛
𝑊i
𝑖=1
• When I see something like P(A|B).
