Python_ Deeper Insights into Machine Learning by S. Raschka PDF

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Python_ Deeper Insights into Machine Learning by S. Raschka PDF

Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. It is one of the fastest growing trends in modern computing, and everyone wants to get into the field of machine learning. In order to obtain sufficient recognition in this field, one must be able to understand and design a machine learning system that serves the needs of a project.

The idea is to prepare a learning path that will help you to tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques. Also, it will give you a solid foundation in the machine learning design process, and enable you to build customized machine learning models to solve unique problems.

The course begins with getting your Python fundamentals nailed down. It focuses on answering the right questions that cove a wide range of powerful Python libraries, including scikit-learn Theano and Keras.After getting familiar with Python core concepts, it’s time to dive into the field of data science. You will further gain a solid foundation on the machine learning design and also learn to customize models for solving problems.

At a later stage, you will get a grip on more advanced techniques and acquire a broad set of powerful skills in the area of feature selection and feature engineering.

What You Will Learn

Learn to write clean and elegant Python code that will optimize the strength of your algorithms

Uncover hidden patterns and structures in data with clustering

Improve accuracy and consistency of results using powerful feature engineering techniques

Gain practical and theoretical understanding of cutting-edge deep learning algorithms

Solve unique tasks by building models

Get grips on the machine learning design process

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