Essential Math for Data Science: Take Control of Your Data with Fundamental Calculus, Linear Algebra, Probability, and Statistics
(By Hadrien Jean)
Read Ebook | Size | 26 MB (26,085 KB) |
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| Downloaded | 654 times |
| Last checked | 13 Hour ago! |
| Author | Hadrien Jean |
Through the course of this book, you'll learn how to use mathematical notation to understand new developments in the field, communicate with your peers, and solve problems in mathematical form. You'll also understand what's under the hood of the algorithms you're using.
Learn how to:
Use Python and Jupyter notebooks to plot data, represent equations, and visualize space transformations
Read and write math notation to communicate ideas in data science and machine learning
Perform descriptive statistics and preliminary observation on a dataset
Manipulate vectors, matrices, and tensors to use machine learning and deep learning libraries such as TensorFlow or Keras
Explore reasons behind a broken model and be prepared to tune and fix it
Choose the right tool or algorithm for the right data problem”
