How to Get Into Artificial Intelligence & Machine Learning

December 31, 2020

Establishing and achieving objectives using techniques associated with artificial intelligence reasoning and uncertainty.
Applying logic, probability analysis, and machine learning concepts to problem solving initiatives.
Analyzing systems to effectively monitor and control development projects.
Using best practices in regard to applications in speech recognition, data processing, data mining, and robotic control.

Analyzing and associating AI principles into reasoning and uncertainty in a perspective environment.
Applying AI techniques and machine learning best practices for image analysis and reconstruction.
Implementing holistic AI and machine learning solutions for a variety of different problems or scenarios.
Developing AI-driven solutions capable of modeling human behavior.
Creating solutions that combine artificial intelligence and machine learning principles.
Evaluating the performance of applications in artificial intelligence and machine learning domains.

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