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Item #:
248619258
Python AI & Machine Learning Crash Course: From Data to Deployment-Create Intelligent Applications That Learn and Ad, (Paperback)
Item #:
248619258
€ 33
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This crash course gives you a complete, practical path for building real machine learning systems with Python.
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What Stands Out
Comprehensive Curriculum
Covers AI and machine learning fundamentals to advanced deployment techniques, making it suitable for beginners and experienced learners alike, ensuring a strong foundation in creating intelligent applications.
Practical Applications
Focuses on real-world projects, enabling readers to apply concepts immediately, thus bridging theoretical knowledge and practical skills essential for developing effective machine learning solutions.
Accessible Format
Designed as a paperback, it offers a user-friendly experience for note-taking and easy reference, catering to learners seeking an engaging hands-on journey through data-driven application development.
Product Details
- Python AI & Machine Learning Crash Course: From Data to Deployment-Create Intelligent Applications That Learn and AdaptMany developers want to break into AI but get stuck sorting through scattered tutorials, complex theories, and tools that never quite connect into a real workflow. If you've ever felt unsure about where to start or how all the pieces fit together, you're not alone-and this book was written to solve that exact problem.This crash course gives you a complete, practical path for building real machine learning systems with Python. You move from raw data to working models to full deployment, seeing each step in action. Instead of abstract concepts, you work with proven tools such as NumPy, pandas, scikit-learn, TensorFlow, Keras, FastAPI, and Docker. By the time you reach the final chapters, you'll have built intelligent applications that make predictions, adapt to new information, and run as production-ready services.You gain concrete, industry-relevant skills that prepare you for real projects. You learn how to clean messy datasets, visualize patterns, train regression and classification models, build neural networks, evaluate performance, scale predictions, and expose models through APIs. You also learn how to containerize your applications, deploy them to the cloud, monitor their behavior, and keep them reliable. Everything is hands-on, practical, and immediately applicable.Key outcomes include: - Master data handling with Python using NumPy, pandas, and visualization tools- Build and tune supervised and unsupervised machine learning models- Create neural networks with Keras and understand how they learn- Deploy models through FastAPI and Docker for real-world use- Work with text, images, and real datasets to develop intelligent applications- Apply responsible AI practices, monitoring, and versioning techniques used in production environmentsWhether you're a beginner looking for clarity or a developer ready to sharpen your machine learning skills, this book equips you with a complete end-to-end workflow. You won't just read about AI-you'll build it, debug it, deploy it, and understand it.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | December, 2025 |
| Pages | 114 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 1 |
| Publisher | Amazon Digital Services LLC - Kdp |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 0.24 x 10.00 in (17.8 x 0.6 x 25.4 cm) |
| Assembled product weight | 0.47 lb (210 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for those looking to gain practical skills in AI through hands-on projects and real-world applications.
-
Software Developers
Beneficial for developers wanting to integrate machine learning into applications, enhancing their software capabilities with intelligent features.
-
Students in Tech
Perfect for students in computer science or related fields, providing foundational knowledge in AI and machine learning.
-
Complete Beginners
Not suitable for individuals without programming experience, as it requires prior knowledge of Python and machine learning concepts.
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William L Younker All Books Editorial Review
Python AI & Machine Learning Crash Course: From Data to Deployment offers a comprehensive guide for those looking to create intelligent applications that learn from data. This non-fiction paperback, aimed at anyone interested in technology, spans 114 pages and dives deep into the realm of artificial intelligence. Readers can expect clear explanations that demystify complex topics, making it accessible for general educational levels. The book covers essential concepts in AI and machine learning while providing practical examples that enhance learning. Those seeking to enhance their computing skills will find this book invaluable, especially with its focus on deploying real-world applications.
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Pros
- Comprehensive guide for AI and machine learning
- Accessible for general educational levels
- Clear explanations simplify complex concepts
- Practical examples enhance learning experience
- Focuses on real-world applications
Cons
- Limited to non-fiction; no fictional content included.
Product Price History
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€ 33
Order now and get it around Monday, October 19
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Only 99 items left in stock.
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Features & Benefits
- Provides a clear and practical path for AI and Machine Learning development.
- Covers hands-on projects from data to deployment.
- Utilizes proven tools like TensorFlow, Keras, and Docker.
- Helps build intelligent applications that learn and adapt.
- Equips you with industry-relevant skills for real projects.
- Offers techniques for data handling, model building, and deployment.
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