Key Features
- Solve complex business problems with data-driven approaches
- Master tools associated with developing predictive and prescriptive models
- Build robust ML pipelines for real-world applications, avoiding common pitfalls
- Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader
Who this book is for
This book is for data scientists as well as machine learning and software development professionals looking to deepen their understanding of advanced ML techniques. To get the most out of this book, you should have proficiency in Python programming and familiarity with commonly used ML libraries; e.g., pandas, NumPy, matplotlib, and sciPy. An understanding of basic ML concepts, such as linear regression, decision trees, and model evaluation metrics will be helpful. Familiarity with mathematical concepts such as linear algebra, calculus, and probability will also be invaluable.