Education
Technology
Data Science
Machine Learning
Supervised Learning
Unsupervised Learning
Regression
Classification
Reinforcement learning
Clustering
Binary Classification
MultiClassification
Make it simple & stick to your head forever.
Data science = Extract insight & make Decision with Data
Data Science is not Machine Learning, It uses Machine Learning approach to solve it's problem
Machine Learning = Supervised, Unsupervised & Reinforcement Learning
Data science = Extract insight & make Decision with Data
Data Science is not Machine Learning, It uses Machine Learning approach to solve it's problem
Machine Learning = Supervised, Unsupervised & Reinforcement Learning
Supervised Learning- Learn from Input & Output(X & Y) to predict on unseen Y
Unsupervised Learning- Learn from Input (X) only to discover patterns that are similar & cluster them into a set of groups.
Reinforcement Learning- Focus on making decision based on previous experience
Unsupervised Learning- Learn from Input (X) only to discover patterns that are similar & cluster them into a set of groups.
Reinforcement Learning- Focus on making decision based on previous experience
Problem type
Supervised Learning - Regression & Classification
Classification - Binary Classification & Multi-Classification
Unsupervised Learning - Clustering
Reinforcement Learning - Intelligent Agent
Supervised Learning - Regression & Classification
Classification - Binary Classification & Multi-Classification
Unsupervised Learning - Clustering
Reinforcement Learning - Intelligent Agent
Examples
Supervised Learning -
Regression : Riders delivery time, House Pricing
Classification - Loan Approval
Unsupervised: Customer Segmentation
Reinforcement: Computer games
Supervised Learning -
Regression : Riders delivery time, House Pricing
Classification - Loan Approval
Unsupervised: Customer Segmentation
Reinforcement: Computer games
While learning for the next few months.
Focus on Supervised & Unsupervised Learning only, Reinforcement Learning might get complicated.
Reinforcement Learning is standalone. I recommend you learn it once you are rooted with Supervised & Unsupervised Learning
Focus on Supervised & Unsupervised Learning only, Reinforcement Learning might get complicated.
Reinforcement Learning is standalone. I recommend you learn it once you are rooted with Supervised & Unsupervised Learning
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