Machine Learning With Python Cookbook: Practical Solutions From Preprocessing To Deep Chris Albon O&Apos Reilly Media Αγγλικά Βιβλία Computing And

This Practical Guide Provides More Than 200 Self-Contained Recipes To Help You Solve Machine Learning Challenges May Encounter In Your Work If You\ Re Comfortable With Python And Its Libraries Including Pandas Scikit-Learn Ll Be Able Address Specific Problems All The Way From Loading Data Training Models Leveraging Neural Networks Each Recipe Updated Edition Includes Code That Can Copy Paste Run A Toy Dataset Ensure It Works There Adapt These According Use Case Or Application Include Discussion Explains Solution Meaningful Context Go Beyond Theory Concepts By Nuts Bolts Need Construct Working Applications Find For: Vectors Matrices Arrays Csv Json Sql Databases Cloud Storage Other Sources Handling Numerical Categorical Text Images Dates Times Dimensionality Reduction Using Feature Extraction Selection Model Evaluation Linear Logical Regression Trees Forests K-Nearest Neighbors Support Vector Machines (Svm) Naive Bayes Clustering Tree-Based Saving Trained Multiple Frameworks Σελίδες: 380 Διαστάσεις: 17 8X17 8Cm