
Python-Powered Machine Learning
Isaac Flynn
This audiobook is narrated by a digital voice.
"Python-Powered Machine Learning: Harnessing the Power of Python to Shape the Future of AI and Data Science" is a practical and accessible guide for individuals who wish to explore the realm of machine learning and artificial intelligence using Python, the most widely used programming language for data science in the industry. This book provides a practical approach to the comprehension and application of machine learning techniques with real-world relevance, regardless of whether you are a student, aspiring data scientist, or tech professional.
The book establishes a strong foundation in theory and practical implementation by addressing critical subjects such as data preprocessing, supervised and unsupervised learning, model evaluation, deep learning, and deployment strategies. Readers will investigate robust Python libraries such as Scikit-learn, Pandas, TensorFlow, and Keras to construct, test, and deploy intelligent models.
Each chapter contains project-based insights and focused examples that reinforce learning and illustrate how Python can address real-world finance, healthcare, business, and beyond issues. The book also anticipates the emergence of emergent trends, such as AutoML and ethical AI, to guarantee that readers are adequately equipped for the future of machine learning.
"Python-Powered Machine Learning" enables you to comprehend the fundamental principles of intelligent systems and confidently contribute to the expanding field of artificial intelligence and data science, regardless of whether you are a beginner or an experienced professional.
Duration - 7h 53m.
Author - Isaac Flynn.
Narrator - Digital Voice Callum E.
Published Date - Monday, 06 January 2025.
Copyright - © 2025 Kindle Asset Investments LLC ©.
Location:
United States
Networks:
Isaac Flynn
Digital Voice Callum E
Kindle Asset Investments LLC
English Audiobooks
Findaway Audiobooks
Description:
This audiobook is narrated by a digital voice. "Python-Powered Machine Learning: Harnessing the Power of Python to Shape the Future of AI and Data Science" is a practical and accessible guide for individuals who wish to explore the realm of machine learning and artificial intelligence using Python, the most widely used programming language for data science in the industry. This book provides a practical approach to the comprehension and application of machine learning techniques with real-world relevance, regardless of whether you are a student, aspiring data scientist, or tech professional. The book establishes a strong foundation in theory and practical implementation by addressing critical subjects such as data preprocessing, supervised and unsupervised learning, model evaluation, deep learning, and deployment strategies. Readers will investigate robust Python libraries such as Scikit-learn, Pandas, TensorFlow, and Keras to construct, test, and deploy intelligent models. Each chapter contains project-based insights and focused examples that reinforce learning and illustrate how Python can address real-world finance, healthcare, business, and beyond issues. The book also anticipates the emergence of emergent trends, such as AutoML and ethical AI, to guarantee that readers are adequately equipped for the future of machine learning. "Python-Powered Machine Learning" enables you to comprehend the fundamental principles of intelligent systems and confidently contribute to the expanding field of artificial intelligence and data science, regardless of whether you are a beginner or an experienced professional. Duration - 7h 53m. Author - Isaac Flynn. Narrator - Digital Voice Callum E. Published Date - Monday, 06 January 2025. Copyright - © 2025 Kindle Asset Investments LLC ©.
Language:
English
Opening Credits
Duration:00:00:13
Introduction
Duration:00:01:38
Chapter I. Python for ML
Duration:00:47:12
Chapter II. Data Handling
Duration:00:43:00
Chapter III. Exploratory Analysis
Duration:00:49:11
Chapter IV. Supervised Learning
Duration:00:45:00
Chapter V. Unsupervised Learning
Duration:00:45:35
Chapter VI. Deep Learning
Duration:00:45:40
Chapter VII. Model Optimization
Duration:00:44:47
Chapter VIII. Real-World Projects
Duration:00:46:31
Chapter IX. Deployment Tools
Duration:00:51:26
Chapter X. Trends Ahead
Duration:00:51:16
Conclusion
Duration:00:01:40
Closing Credits
Duration:00:00:13