Mastering Machine Learning with Python in Six Steps A Practical Implementation Guide to Predictive Data Analytics Using Python /

• Κύριος συγγραφέας: Swamynathan, Manohar (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Έκδοση: 2nd ed. 2019.
• Θέματα: Artificial intelligence.; Big data.; Open source software.; Computer programming.; Artificial Intelligence.; Big Data.; Open Source.

Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version's approach is based on the "six degrees of separation" theory, which states that everyone and everything is a maximum of six steps away and presents each...

Πίνακας περιεχομένων:

• Chapter 1: Step 1 - Getting Started with Python
• Chapter 2 : Step 2 - Introduction to Machine Learning
• Chapter 3: Step 3 - Fundamentals of Machine Learning
• Chapter 4: Step 4 - Model Diagnosis and Tuning
• Chapter 5: Step 5 - Text Mining, NLP AND Recommender Systems
• Chapter 6: Step 6 - Deep and Reinforcement Learning
• Chapter 7 : Conclusion.