Download free Machine Learning Yearning in PDF. Machine learning is the application of artificial intelligence. its focus on development of computer programs that can access the data. In this notes you’ll learn how to build machine learning systems that make practical decisions. You’ll learn how to use machine learning strategies and how to build machine learning algorithms. You’ll learn in this notes how to make effective machine learning projects.
In this notes you’ll learn machine learning deep learning techniques to build effective project. You’ll learn in this notes how to define human level performance and how to analysis the data. This notes is useful and helpful for students, developers, programmers and those who wants to learn machine learning and deep learning. By this note you can find and remove errors. By this notes you can discovers creative ideas from yourself. By given examples you can clear your all concepts easily and you can download this PDF notes free.
Key Features:
Optimizing and Satisficing Matrics
Scale Drive Machine Learning Progress
Build Your First System Quickly, then Iterate
Evaluating Multiple Ideas in Parallel During Error Analysis
Cleaning Up Mislabeled dev and test set Examples
Bias and Variance tradeoffs
Techniques for Reducing Avoidable Bias
Error Analysis on Training Sets
Plotting Training Errors
Techniques for Reducing Variance
Interpreting Learning Curves: High Bias
Weighting Data
Generalizing from the Training sets to the dev set
Addressing Data Mismatch
Artificial Data Synthesis
The Optimization Verification Sets
The Rise of end-to-end Learning
More end-to-end Learning Examples
Directly Learning rich Outputs
Error Analysis by Parts
Attribute Error to One Part
General Case of Error Attribution
Spotting a Flawed ML Pipeline
