Machine Learning Kit

Machine Learning Kit: Interactive ebook and Onramp tutorial

Συμπληρώστε τα στοιχεία σας στη φόρμα δεξιά για το interactive ebook με τίτλο "Machine Learning Challenges: Choosing the Best Classification Model and Avoiding Overfitting". Αποθηκεύστε το link για να έχετε πρόσβαση όποτε θέλετε.

Classification is one of the most common applications of machine learning. Determining the most appropriate classification model and diagnosing and correcting for overfitting are foundational machine learning skills. If you work with data, a thorough understanding of overfitting and the various classifiers will be useful knowledge on many projects. 

This white paper discusses the strengths of the most common classification models, examines how to correct and prevent overfitting, and highlights useful functions in MATLAB®.

Get this interactive white paper to learn how to:

  • Choose a classification model
  • Use the MATLAB Classification Learner app
  • Apply regularization techniques
  • Perform cross-validation in MATLAB



Επίσης θα μπορέσετε να παρακολουθήσετε online δωρεάν το interactive Onramp tutorial με τίτλο "Machine Learning Onramp". Για την παρακολούθηση δεν απαιτείται να έχετε το MATLAB εγκατεστημένο, καθώς γίνεται χρήση του MATLAB Online μέσω browser (θα χρειαστεί να δημιουργήσετε λογαριασμό στο site της Mathworks με το email σας).

This free, two-hour tutorial provides an interactive introduction to practical machine learning methods for classification problems. Prerequisites: MATLAB Onramp or basic knowledge of MATLAB.


  • Overview of Machine Learning
  • Classification Workflow
  • Importing and Preprocessing Data
  • Engineering Features
  • Classification Models


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