Ergebnis für "Machine Learning in Python Hands on Machine Learning with Python Tools, Concepts and Techniques" in Technik

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

In this updated and expanded edition of Human + Machine—including a new chapter on gen AI—Daugherty and Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization, whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly—or completely reimagine them.

Are you fed up with reading long, boring, lengthy paragraphs after paragraphs of text and want to get up and running in Python as soon as possible? Well, you're not alone. I for one hate having to read through masses of text for very little benefit. Python Programming: How to Code Python Fast in Just 24 Hours with Seven Simple Steps strips away the non-essentials and instead provides you with the fundamentals from which you can blossom as a Python programmer in just seven simple steps.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

Learning the Python programming language is not difficult; it is one of the easiest of all the programming languages to learn. By working through my in-depth yet straightforward guide, you, too, will master Python and start putting your knowledge to good use.