Download Learn Essential Math For Data Science Step by Step totally free. We no longer only apply desktop or laptop computers to access the internet. We now carry it around with ourselves in our cars, smart phones, and home appliances. Over the span of two decades, this has gradually encouraged a transformation. Data currently changed from being a tool for operations to being gathered and analyzed for less clear goals. A smart watch continuously records information about our respiration, strolling distance, and other metrics. The data is then uploaded to a cloud where it can be analyzed by several people. Computerized automobiles are recording our driving behaviours, and manufacturers are using this information to build self-driving cars. Drugstores are already stocking “smart toothbrushes,” which track brushing patterns and store that information in the cloud.
The purpose of these notes is to introduce readers to various mathematical, statistical, & machine learning fields that can be used to solve practical issues. Foundational math ideas are covered in the first four chapters covering statistics, linear algebra, probability, and practical calculus. Machine learning will be introduced in the final three chapters. The ultimate goal of instructing machine learning is for us to connect all we have learned and show how to use machine learning and analytical libraries in ways that go beyond a simple black box comprehension.
Following topics are covered in these notes
- Basic Math and Calculus Review
- Descriptive and Inferential Statistics
- Linear Algebra
- Linear Regression
- Logistic Regression and Classification
- Neural Networks
- Career Advice and the Path Forward