Practical Full Stack Machine Learning: A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions
Practical Full Stack Machine Learning: A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions...
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Python In – Depth: Use Python Programming Features, Techniques, and Modules to Solve Everyday Problems
Python In – Depth: Use Python Programming Features, Techniques, and Modules to Solve Everyday Problems (English Ed...
Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI
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Data Science, AI, and Machine Learning in Drug Development
Data Science, AI, and Machine Learning in Drug Development (Chapman & Hall/CRC Biostatistics Series) Author: Harry ...
Practical Simulations for Machine Learning: Using Synthetic Data for AI
Practical Simulations for Machine Learning: Using Synthetic Data for AI 1st Edition Author: Paris Buttfield-Addison,Mars...
Simplifying Data Engineering and Analytics with Delta: Create analytics-ready data that fuels artificial intelligence and business intelligence
Simplifying Data Engineering and Analytics with Delta: Create analytics-ready data that fuels artificial intelligence an...
Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems
Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise sy...
Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical application...
Hyperparameter Tuning with Python: Boost your machine learning model's performance via hyperparameter tuning
Hyperparameter Tuning with Python: Boost your machine learning model’s performance via hyperparameter tuning Author: Lou...
Natural Language Processing with TensorFlow: The definitive NLP book to implement the most sought-after machine learning models and tasks, 2nd Edition
Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with...