Read claims closely. Examine evidence. Find a better question.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 Ask Why Not What. This is an interest count, not a review score.

Ask Why Not What / The reading view

A compelling subject deserves a closer look.

Looking for a new direction in Books? “Data Mining and Machine Learning Essentials” makes a persuasive case for giving the subject your attention. Bring a specific question and turn the reading into a purposeful exploration. 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. Bring your strongest question to the material. Examine a claim, consider an alternative, and ask what evidence would settle the difference. There is real satisfaction in turning a broad interest into a sharper judgement. Worth exploring when you are ready for a fresh reading direction.

Find your reading angle →

Ask Why Not What reading lens

Examine the promise

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

Which claims are supported by the material I can actually inspect?

Try this with the topic

Choose one claim in the catalogue description. Identify what evidence would support it, what limits it might have, and what a sample could help you check.

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.