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Index
Machine Learning for Beginners
Chapter 1 : What is Machine Learning ?
Chapter 2 : Machine Learning Methods
Chapter 3 : Big Data Analysis
Chapter 4 : Machine Learning Algorithms
Chapter 5 : K Means Clustering Algorithm
Chapter 6 : Artificial Neural Networks
Chapter 7 : Decision Trees
Chapter 8 : Naïve Bayes Classifier Algorithm
Chapter 9 : Random Forests
Chapter 10 : Apriori Algorithm
Chapter 11 : Linear and Logistic Regression
Conclusion
Artificial Intelligence for Business Applications
Introduction
Chapter 1 : What is Artificial Intelligence ?
Chapter 2 : Artificial Intelligence : Promises and Challenges
Chapter 3 : How Artificial Intelligence is Changing Business Processes
Chapter 4 : Focus on Strategy and Evaluation
Chapter 5 : The Future of Marketing : Predicting Consumer Behavior with Artificial Intelligence
Chapter 6 : Chatbots and Autoresponders
Chapter 7 : Scaling Up Your Business : Artificial Intelligence Marketing Platforms
Chapter 8 : Artificial Intelligence Email Marketing
Chapter 9 : Exploit Artificial Intelligence of Big Companies
Conclusion
Python Programming
Introduction
Chapter 1 : What You Need to Know Before You Start
Chapter 2 : Variables in Python
Chapter 3 : Python data objects
Chapter 4 : Python Operators
Chapter 5 : Functions in Python
Chapter 6 : Modules in Python
Chapter 7 : Python Debugging
Chapter 8 : Files in Python
Conclusion
Python Machine Learning
Introduction
Chapter 1 : An Introduction to Machine Learning
Chapter 2 : How Machine Learning is Applied in the Real World
Chapter 3 : Supervised Learning
Chapter 4 : Unsupervised and Semi - Supervised Learning
Chapter 5 : Regression Methods
Chapter 6 : Classification Methods
Chapter 7 : TensorFlow
Chapter 8 : The Keras Library
Chapter 9 : The Scikit - Learn Library
Chapter 10 : NumPy
Conclusion
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