Book 1: Machine Learning
This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few examples of the different types of machine learning.
Here Is A Preview Of What You'll Learn…
Introduction to Machine LearningDifferent Applications of Machine LearningIntroduction to Statistics for Machine LearningSupervised LearningUnsupervised LearningReinforced LearningConclusion
Book 2: Neural Networks
Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex, non-linear relationships and are used in forecasting, image processing and character recognition.
Here's What You'll Learn:
What are Artificial Neural Networks?Fundamentals of Neural NetworksActivation ParadigmsLearning ParadigmsMultilayer PerceptronPractical Application — Text RecognitionPractical Application — Image ProcessingProblems with Neural Networks
