Benoit Cayla

Data Preparation for AI and Analytics teaches you to tackle the challenges you’ll face as you prepare data to be fed into your AI models and analytic pipelines. The author doesn’t just talk theory, but provides detailed code snippets, real-world scenarios, and discussions about ethical and explainability concerns that other resources sometimes gloss over. You’ll master popular data wrangling tools like Python and Alteryx. You’ll benefit from the author’s skill at presenting complex data preparation concepts as clear, manageable steps and fully illustrated with engaging data sets—including data on the Titanic disaster, rating video games, sentiment analysis of Los Angeles restaurant recommendations, and more. The book is packed with vital advice for complex tasks, including merging multiple data sets, alerting systems for data quality, and scaling data preparation into large cloud-based pipelines.