MACHINE LEARNING

MACHINE LEARNING

1. INTRODUCTION

   • USES
     • STREAM PLATFORM RECOMMENDATIONS
     • SIMULTANEOUS TRADUCCION
     • ROBOTS (CURIOSITY)
   • DEFINITION
     • It is using algorithms to say something interesting based on a set of data without having to write the specific code for the problem.
   • EXPICATION (VIDEO)

2. MAIN EXPLANATION

   • TYPES
     • SUPERVISED
       • DEF
       • K-NEAREST NEIGHBORS (K-NN)
       • LINEAR REGRESSION
       • SUPPORT VECTOR MACHINE (SVM)
     • UNSUPERVISED
       • DEF
       • K-MEANS CLUSTERING
       • HIERARCHICAL CLUSTERING

3. FINAL

   • MACHINE LEARNING IN THE FUTURE
   • PERSONAL OPINION