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	Browse All Reviews > Software (D) > Programming Languages (D.3) > Language Classifications (D.3.2) > Python (D.3.2...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-10 of 94 Reviews about "Python (D.3.2...)": Date Reviewed   Practical explainable AI using Python: artificial intelligence model explanations using Python-based libraries, extensions, and frameworks Mishra P., Apress, New York, NY, 2022. 364 pp.  Type: Book (978-1-484271-57-5), Reviews: (2 of 2) In this comprehensive guide, the author aims to provide practical insights into artificial intelligence (AI) model explainability and interpretability using Python frameworks. While Mishra doesn’t explicitly state their intention, it is evid... Aug 21 2023   PyTorch recipes: a problem-solution approach to build, train and deploy neural network models (2nd ed.) Mishra P., Apress, New York, NY, 2023. 290 pp.  Type: Book (978-1484289242) Full of lengthy code examples, PyTorch recipes is a very good textbook for beginner and intermediary neural network developers using PyTorch.... Jul 24 2023    Mathematical logic through Python Gonczarowski Y., Nisan N., Cambridge University Press, Cambridge, UK, 2022. 284 pp.  Type: Book (1108949479), Reviews: (2 of 2) I well remember, after many years, my surprise and awe at the beauty of the structure of my undergraduate course on logic and computability, which led students from the basics of propositional logic to Gödel’s incompleteness theorems. U... Jun 27 2023   Foundational Python for data science Behrman K., Addison-Wesley Professional, Boston, MA, 2021. 256 pp.  Type: Book (978-1-366243-59-1) The collection of books on data science is becoming so large that it is itself an interesting subject for data science analysis [1,2]. This is amply justified by the galloping success of data science among students, researchers, and practitioners ... Apr 20 2023   Practical explainable AI using Python: artificial intelligence model explanations using Python-based libraries, extensions, and frameworks Mishra P., Apress, New York, NY, 2022. 364 pp.  Type: Book (978-1-484271-57-5), Reviews: (1 of 2) In recent years, the overwhelming successes provided by artificial intelligence (AI) and machine learning (ML) methods have been stunning. All computer scientists know about very efficient picture tagging with convolutional neural networks (CNNs) ... Apr 17 2023   Mathematical logic through Python Gonczarowski Y., Nisan N., Cambridge University Press, Cambridge, UK, 2022. 284 pp.  Type: Book (1108949479), Reviews: (1 of 2) Mathematical logic through Python, by Gonczarowski and Nisan, provides a Python implementation of logical concepts and mathematical proofs. It aims at covering major topics for a typical undergraduate course in mathematical logic.... Apr 11 2023   Dive into algorithms: a Python adventure for the intrepid beginner Tuckfield B., No Starch Press, San Francisco, CA, 2021. 248 pp.  Type: Book (978-1-718500-68-6), Reviews: (2 of 2) While writing this review, I faced a troubling problem: how to get my crying four-month-old to sleep. This is the kind of problem humans should be able to solve, right? (Considering the endless nights that I have spent awake, this might not be the... Apr 10 2023   Pandas for everyone: Python data analysis (2nd ed.) Chen D., Pearson, Hoboken, NJ, 2023. 512 pp.  Type: Book (0137891156) Pandas (the name comes from the term “panel data”) is an open-source Python library for manipulating large datasets. Tasks include data cleansing, analysis, and visualization. Pandas extends Python with two new data types: Series and D... Apr 7 2023    Foundations of deep reinforcement learning: theory and practice in Python Graesser L., Loon Keng W., Pearson, Boston, MA, 2019. 416 pp.  Type: Book (978-0-135172-38-4) Even for specialists well acquainted with more classical topics in machine learning, for example, plain supervised or unsupervised tasks (regression, classification, clustering, and the like), reinforcement learning (RL) can be quite c... Jul 13 2022   Data science solutions with Python: fast and scalable models using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn Nokeri T., Apress, New York, NY, 2021. 136 pp.  Type: Book (978-1-484277-61-4) This book elaborates on different models of data science. It includes a brief description of theory, which is supported by program/code listings.... Jun 29 2022       Display 510152550100 per page
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