Features of Machine Learning development

Machine Learning

Introduction

What machine learning is

  • Categorize or catalog like objects
  • Predict likely outcomes or actions based on identified patterns
  • Identify unknown patterns and relationships
  • Detect anomalous or unexpected behaviors

Problems suited to machine learning

  • Logical rules are unavailable or insufficient to describe the environment — but actionable rules can be intuited
  • Next actions are varied and the best action depends on conditions that cannot be identified in advance
  • Understanding why an outcome is suggested is not as important as the accuracy of the outcome
  • The data are problematic for traditional analytical methods

How to plan and execute a machine learning project

  1. Define the Problem
  2. Prepare Data
  3. Evaluate Algorithms
  4. Improve Results
  5. Present Results

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We provide a full range of custom software development services to assist Clients with solutions to their most important business and operational challenges.