Books and field notes on explaining, visualising, and being understood.Thoughtful choices. Clear sources.
Data Mining and Machine Learning Essentials — cover

Book cover from the publisher catalogue.

Books

Data Mining and Machine Learning Essentials

By Kenwright

Uncover the foundations of cutting-edge technologies with "Data Mining and Machine Learning Essentials." This book will take you on an illuminating journey through the intricate realms of data mining and machine learning, making complex concepts accessible and applicable. Master the essential principles, practical techniques, and real-world applications that form the backbone of these transformative fields. From understanding key terminology to navigating advanced algorithms, this book provides a roadmap for both beginners and seasoned professionals. Dive into the core concepts that drive data-driven decision-making and equip yourself with the skills needed to harness the power of data. Whether you're a novice looking to build a solid understanding or an expert seeking a comprehensive reference, this book is your go-to resource for mastering data mining and machine learning essentials.

Pages
327
Publication
6 January 2024
Language
English
ISBN
9798874214982
View on Amazon

Details are supplied by the publisher catalogue. Confirm the edition, price, and availability with the retailer before buying.

0 reader favourites

Real votes on Word Power. This is an interest count, not a review score.

Word Power / The reading view

Read it. See it. Explain it.

The appeal of “Data Mining and Machine Learning Essentials” starts with its focus on AI & Machine Learning. That is fertile territory for a reader ready to move beyond collecting ideas and start making connections. Neural-network topics invite useful questions about inputs, outputs, and the evidence behind a result. Choose a small learning task and ask how you would recognise a meaningful improvement. Use the topic as material for a clearer explanation. Choose a person who needs the idea, find a concrete example, and make the connection visible. The result can be a better conversation as well as a useful reading session. Pick a question. Open a book. See where it takes you.

Find your reading angle →

Word Power reading lens

Make the idea clearer

Explore Books, Computers & Technology, Computer Science with a reading approach that gives the ideas somewhere to go. Neural-network topics invite useful questions about inputs, outputs, and the evidence behind a result. Choose a small learning task and ask how you would recognise a meaningful improvement.

The listed 327 pages give a sense of extent; page count alone does not establish depth or difficulty.

A question before you choose

Does the sample connect technical detail to a clear question or decision?

Try this with the topic

Choose one listed topic and explain why it matters to a reader outside the field. Use a concrete case and name the limits of your explanation.

Publisher’s synopsis

Data Mining and Machine Learning Essentials offers a comprehensive and in-depth guide that walks you through the concepts, applications, and best practices. With a strong focus on hands-on examples and real-world relevance, it empowers you to not just learn the theory but to apply it in meaningful ways across graphics, compute, and more.

From the publisher

A look inside.

Images supplied for this ISBN.

Make room for the reading

A little planning helps.

Estimate sessions from the listed page count. Technical exercises and rereading can take extra time.

33 sessions at 10 pages per session.

Keep the thread going

Related directions.

Explore another angle on the subject.