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Showing results 1 to 4 of 4

Sách/Book

Applied statistics with Python

Authors: Kaganovskiy, Leon (2025)

Applied Statistics with Python concentrates on applied and computational aspects of statistics, focussing on conceptual understanding and Python-based calculations. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, whilst also being useful as a supplementary text for more advanced students.

TVS.005118_TT_Pradeepta-Mishra-Explainable-AI-Recipes-Apress-Media-_2023_.pdf.jpg

Sách/Book

Explainable AI Recipes: Implement Solutions to Model Explainability and Interpretability with Python

Authors: Mishra, Pradeepta (2023)

What You Will Learn: Create code snippets and explain machine learning models using Python, Leverage deep learning models using the latest code with agile implementations Build, train, and explain neural network models designed to scale, Understand the different variants of neural network models

Sách/Book

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Authors: Pattanayak, Santanu (2023)

Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation.

Sách/Book

Python for ArcGIS Pro

Authors: Toms, Silas (2022)

Book DescriptionIntegrating Python into your day-to-day ArcGIS work is highly recommended when dealing with large amounts of geospatial data. Python for ArcGIS Pro aims to help you get your work done faster, with greater repeatability and higher confidence in your results.