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 ...
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Practical Simulations for Machine Learning: Using Synthetic Data for AI
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Simplifying Data Engineering and Analytics with Delta: Create analytics-ready data that fuels artificial intelligence and business intelligence
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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
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Hyperparameter Tuning with Python: Boost your machine learning model's performance via hyperparameter tuning
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Machine Learning at Scale with H2O: A practical guide to building and deploying machine learning models on enterprise systems
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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...
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library by: Adrian Kaehler – Gary Bradski ISBN-10: 14919...
Think AI: Explore the flavours of Machine Learning, Neural Networks, Computer Vision and NLP with powerful python libraries
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Mastering Databricks Lakehouse Platform
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