Nyamawe, Ally S. <br/><br/>
Practical machine learning :  a beginner's guide with ethical insights / 
Ally S. Nyamawe, Mohamedi M. Mjahidi, Noe E. Nnko, Salim A. Diwani, Godbless G. Minja, and Kulwa Malyango. 
 - xii, 213 pages  illustrations (some color)  24 cm 
 - 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Fundamentals of machine learning -- Mathematics for machine learning -- Data preparation -- Machine learning operations -- Machine learning software and hardware requirements -- Responsible AI and explainable AI -- Artificial general intelligence -- Machine learning step-by-step practical examples. 
<br/><br/> "The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. This is a core resource for students and instructors of machine learning and data science looking for beginner-friendly material which offers real-world applications and takes ethical discussions into account"-- Provided by publisher. 
<br/><br/><label>ISBN: </label>9781032770291 
<br/><br/><label>LCCN: </label>2024034546 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning<br/>Artificial intelligence
<br/><br/><label>LC Class. No.: </label>Q 325.5 .N93  
<br/><br/><label>Dewey Class. No.: </label>006.3/1