Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization.
Data analysis and machine learning for competitive data science
This book serves as a concise path toward cracking Kaggle competitions as well as an all-encompassing guide to upgrading your skills and career as a data scientist.
Dive into the intelligence that powers artificial intelligence Artificial intelligence is swiftly moving from a sci-fi future to a modern reality. This edition of Artificial Intelligence For Dummies keeps pace with the lighting-fast expansion of AI tools that are overhauling every corner of reality. This book demystifies how artificial intelligence systems operate, giving you a look at the inner workings of AI and explaining the important role of data in creating intelligence. You'll get a primer on using AI in everyday life, and you'll also get a glimpse into possible AI-driven futures. What's next for humanity in the age of AI? How will your job and your life change as AI continue to evolve? How can you take advantage of AI today to make your live easier? This jargon-free Dummies guide answers all your most pressing questions about the world of artificial intelligence. Learn the basics of AI hardware and software, and how intelligence is created from code Get up to date with the latest AI trends and disruptions across industries Wrap your mind around what the AI revolution means for humanity, and for you Discover tips on using generative AI ethically and effectively Artificial Intelligence For Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.
Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see based on our likes, dislikes, queries, views, interests, relationships, and more online.
This comprehensive entry-level guide to machine learning introduces readers to a form of artificial intelligence that is crucial for identifying opportunities and solving problems efficiently. Mastering machine learning principles opens up exciting career paths in areas like fraud detection, optimizing search results, real-time advertising, credit scoring, and sophisticated pricing models. Unlike many other resources, the fully updated 2nd Edition does not require years of programming experience, making it accessible to beginners. It covers essential materials to help you start building models for practical tasks and delves into the fascinating math principles behind machine learning, emphasizing that you don't need to be a math expert to create innovative tools. The guide explores the history of AI and machine learning, and provides hands-on experience with Python 3.8 and TensorFlow 2.x, along with downloadable R resources. Readers will learn to build and test their own models using the latest datasets, addressing real-world problems. Whether for academic purposes or to enhance business performance, this friendly guide offers a solid introduction to machine learning, empowering you to confidently engage with this rapidly evolving technology that positively impacts lives globally.