Python Machine Learning: A Step by Step Beginner’s Guide to Learn Machine Learning Using Python
Ready to discover the Machine Learning world?
Machine learning paves the path into the future and it’s powered by Python. All industries can benefit from machine learning and artificial intelligence whether we’re talking about private businesses, healthcare, infrastructure, banking, or social media. What exactly does it do for us and what does a machine learning specialist do?
Machine learning professionals create and implement special algorithms that can learn from existing data to make an accurate prediction on new never before seen data.
Python Machine Learning presents you a step-by-step guide on how to create machine learning models that lead to valuable results. The book focuses on machine learning theory as much as practical examples. You will learn how to analyse data, use visualization methods, implement regression and classification models, and how to harness the power of neural networks.
By purchasing this book, your machine learning journey becomes a lot easier. While a minimal level of Python programming is recommended, the algorithms and techniques are explained in such a way that you don’t need to be intimidated by mathematics.
The Topics Covered Include:
- Machine learning fundamentals
- How to set up the development environment
- How to use Python libraries and modules like Scikit-learn, TensorFlow, Matplotlib, and NumPy
- How to explore data
- How to solve regression and classification problems
- Decision trees
- k-means clustering
- Feed-forward and recurrent neural networks
Get your copy now
Ready to discover the Machine Learning world?
Machine learning paves the path into the future and it’s powered by Python. All industries can benefit from machine learning and artificial intelligence whether we’re talking about private businesses, healthcare, infrastructure, banking, or social media. What exactly does it do for us and what does a machine learning specialist do?
Machine learning professionals create and implement special algorithms that can learn from existing data to make an accurate prediction on new never before seen data.
Python Machine Learning presents you a step-by-step guide on how to create machine learning models that lead to valuable results. The book focuses on machine learning theory as much as practical examples. You will learn how to analyse data, use visualization methods, implement regression and classification models, and how to harness the power of neural networks.
By purchasing this book, your machine learning journey becomes a lot easier. While a minimal level of Python programming is recommended, the algorithms and techniques are explained in such a way that you don’t need to be intimidated by mathematics.
The Topics Covered Include:
- Machine learning fundamentals
- How to set up the development environment
- How to use Python libraries and modules like Scikit-learn, TensorFlow, Matplotlib, and NumPy
- How to explore data
- How to solve regression and classification problems
- Decision trees
- k-means clustering
- Feed-forward and recurrent neural networks
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