Machine learning is a subfield of artificial intelligence, broadly defined as a machine's capability to imitate intelligent human behavior. Like humans, machines become capable of making intelligent decisions by learning from their past experiences. Machine learning is being employed in many ap...

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Hauptverfasser:	Chopra, Deepti (VerfasserIn), Khurana, Roopal (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Doral Bentham Science Publishers 2023
Schlagworte:	Python > Programmiersprache Maschinelles Lernen Python (Programming language) Machine learning Python (Computer program language) Electronic books
Online-Zugang:	DE-19
Zusammenfassung:	Machine learning is a subfield of artificial intelligence, broadly defined as a machine's capability to imitate intelligent human behavior. Like humans, machines become capable of making intelligent decisions by learning from their past experiences. Machine learning is being employed in many applications, including fraud detection and prevention, self-driving cars, recommendation systems, facial recognition technology, and intelligent computing. This book helps beginners learn the art and science of machine learning. It presens real-world examples that leverage the popular Python machine learning ecosystem, The topics covered in this book include machine learning basics: supervised and unsupervised learning, linear regression and logistic regression, Support Vector Machines (SVMs). It also delves into special topics such as neural networks, theory of generalisation, and bias and fairness in machine learning. After reading this book, computer science and engineering students - at college and university levels - will receive a complete understanding of machine learning fundamentals and will be able to implement neural network solutions in information systems, and also extend them to their advantage. Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Foreword -- Preface -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENT -- Introduction to Python -- INTRODUCTION -- Web Development -- Game Development -- Artificial Intelligence and Machine Learning -- Desktop GUI -- SETTING UP PYTHON ENVIRONMENT -- Steps Involved In Installing Python On Windows Include The Following: -- Steps involved in installing Python on Macintosh include the following -- Setting Up Path -- Setting Up Path In The Unix/linux -- WHY PYTHON FOR DATA SCIENCE? -- ECOSYSTEM FOR PYTHON MACHINE LEARNING -- ESSENTIAL TOOLS AND LIBRARIES -- Jupyter Notebook -- Pip Install Jupiter -- NumPy -- Pandas -- Scikit-learn -- SciPy -- Matplotlib -- Mglearn -- PYTHON CODES -- CONCLUSION -- EXERCISES -- REFERENCES -- Introduction To Machine Learning -- INTRODUCTION -- DESIGN A LEARNING SYSTEM -- Selection Of Training Set -- Selection Of Target Function -- Selection Of A Function Approximation Algorithm -- PERSPECTIVE AND ISSUES IN MACHINE LEARNING -- Issues In Machine Learning -- Quality of Data -- Improve the Quality of Training -- Overfitting the Training Data -- Machine Learning Involves A Complex Process -- Insufficient training data -- Feasibility of Learning An Unknown Target Function -- Collection of Data -- Pre-processing of Data -- Finding The Model That Will Be Best For The Data -- Training and Testing Of The Developed Model Evaluation -- In Sample Error and Out of Sample Error -- APPLICATIONS OF MACHINE LEARNING -- Virtual Personal Assistants -- Traffic Prediction -- Online Transportation Networks -- Video Surveillance System -- Social Media Services -- People you May Know -- Face Recognition -- Similar Pins -- Sentiment Analysis -- Email Spam and Malware Filtering -- Online Customer Support -- Result Refinement of a Search Engine.
Beschreibung:	Description based on publisher supplied metadata and other sources
Beschreibung:	1 Online-Ressource (139 Seiten)
ISBN:	9789815124422