Step up Creativity using Heuristics in Data Science, Artificial Intelligence, and Beyond
This guide focuses on leveraging heuristics in the data science pipeline, aiming to enhance efficiency and improve the quality of outcomes. It offers practical techniques and strategies for data scientists to streamline their processes, ultimately leading to faster and more effective results.
Embrace the holistic set of skills and experiences required for data science success. (HINT: It's much more than just knowing math!) Know what it takes to become a star data scientist, and how data science compares with and leverages other disciplines such as artificial intelligence (AI). Explore how data science adds value by focusing on business questions and how to graduate from being a good technical professional to becoming an invaluable member of a business team. For those of us who are not data scientists, learn how to best leverage data science skills within your organization, how to hire a data scientist, and how to evaluate the outcome of a data science project. The approach provided in this book is supported by the rich experiences of the authors, combined with findings from interviews with top data science professionals.
This guide empowers readers to harness Julia for machine learning applications. It covers essential techniques, algorithms, and practical examples to effectively implement machine learning models. The book emphasizes Julia's unique capabilities, such as its speed and ease of use, making it an ideal choice for data scientists and engineers. With a focus on real-world scenarios, readers will learn to develop and optimize machine learning solutions efficiently.