Advanced Machine Learning with Python

Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python

Key Features

• Resolve complex machine learning problems and explore deep learning
• Learn to use Python code for implementing a range of machine learning algorithms and techniques
• A practical tutorial that tackles real-world computing problems through a rigorous and effective approach

Book Description

What you will learn

• Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms
• Apply your new found skills to solve real problems, through clearly-explained code for every technique and test
• Automate large sets of complex data and overcome time-consuming practical challenges
• Improve the accuracy of models and your existing input data using powerful feature engineering techniques
• Use multiple learning techniques together to improve the consistency of results
• Understand the hidden structure of datasets using a range of unsupervised techniques
• Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach
• Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models together

Who this book is for

This title is for Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you’ve ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you!

Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful.