000 | 01896nam a22002297a 4500 | ||
---|---|---|---|
999 |
_c3880 _d3880 |
||
005 | 20221122131302.0 | ||
008 | 221122b ||||| |||| 00| 0 eng d | ||
020 | _a9781484240434 | ||
082 |
_a519.542 _bKAS |
||
100 |
_aKashyap, Patanjali _99101 |
||
245 |
_aMachine learning for decision makers: _bcognitive computing fundamentals for better decision making |
||
250 | _a2nd | ||
260 |
_bApressĀ _aNew York _c2021 |
||
300 | _axxxv, 355 p. | ||
365 |
_aINR _b1199.00 |
||
520 | _aAbout this book Take a deep dive into the concepts of machine learning as they apply to contemporary business and management. You will learn how machine learning techniques are used to solve fundamental and complex problems in society and industry. Machine Learning for Decision Makers serves as an excellent resource for establishing the relationship of machine learning with IoT, big data, and cognitive and cloud computing to give you an overview of how these modern areas of computing relate to each other. This book introduces a collection of the most important concepts of machine learning and sets them in context with other vital technologies that decision makers need to know about. These concepts span the process from envisioning the problem to applying machine-learning techniques to your particular situation. This discussion also provides an insight to help deploy the results to improve decision-making. The book uses case studies and jargon busting to help you grasp the theory of machine learning quickly. You'll soon gain the big picture of machine learning and how it fits with other cutting-edge IT services. This knowledge will give you confidence in your decisions for the future of your business. | ||
650 |
_aMachine learning _92343 |
||
650 |
_aDecision making _9401 |
||
650 |
_aSoftware engineering _91017 |
||
650 |
_aComputer science _91018 |
||
942 |
_2ddc _cBK |