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1-10 of 86 Reviews about "
Foundations of deep reinforcement learning: theory and practice in Python: NULL
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: NULL
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
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)
Algorithms--their concepts, theory, and methods--are not limitedto computer science. My recipe for making chili for dinner is analgorithm, as are my lesson plans for my courses, and the Internal Revenue Service (IRS) ...
May 2 2022
Python Distilled: NULL
Beazley D., Addison-Wesley Professional, Boston, MA, 2021. 352 pp. Type: Book (978-0-134173-27-6)
Python has been around for more than two decades. It was introduced in the early 1990s as a simple programming language and by 2000, we had Python 2. Ever since 2008, however, Python 3 has been the more popular and powerful language. N...
Mar 25 2022
Introduction to machine learning in the cloud with python: concepts and practices
Gupta P., Sehgal N., Springer International Publishing, New York, NY, 2021. 303 pp. Type: Book (978-3-030712-69-3)
Cloud computing vendors, such as Amazon, IBM, Google, Oracle, Microsoft, and others, not only provide storage and compute resources for applications, but data analytics services as well. These platforms support various dataset exploration and mode...
Feb 24 2022
Devops in python: Infrastructure as Python
Zadka M., Apress, Berkeley, CA, 2019. 188 pp. Type: Book (978-1-484244-32-6)
DevOps is a hot topic in software engineering these days, and Python is one of the most popular programming languages in the world. What could be better than a pithy book combining the two? Well, that is exactly what Moshe Zadka, a long-time op...
Dec 23 2021
Competitive programming in python: 128 algorithms to develop your coding skills
Durr C., Vie J., Cambridge University Press, Cambridge, UK, 2021. 264 pp. Type: Book (978-1-108716-82-6)
Programming contests typically ask teams of programmers to develop solutions to several posed problems in a limited amount of time. Knowledge of algorithms and the techniques for implementing those algorithms efficiently are critical f...
Dec 9 2021
Programming for Computations - Python
Linge S., Langtangen H., Springer, New York, NY, 2020. 232 pp. Type: Book (978-3-319324-27-2)
True story: many years ago, while studying applied mathematics, a young man took a one credit hour course in programming. This consisted of an introduction to FORTRAN II and a single assignment: write a program to triangularize a matri...
Dec 7 2021
Natural language processing recipes: unlocking text data with machine learning and deep learning using Python
Kulkarni A., Shivananda A., Apress, New York, NY, 2019. 260 pp. Type: Book (978-1-484242-66-7)
Python--30 years in the making and named after the hilariously funny
Monty Python’s Flying Circus
--has become the preferred language for natural language processing (NLP) for a number of reasons: it i...
Nov 26 2021
Mining imperfect data: with examples in R and Python (2nd ed.)
Pearson R., SIAM, Philadelphia, PA, 2020. 184 pp. Type: Book (978-1-611976-26-7)
Data analysis--including both data mining and machine learning--has made a lot of progress in the past decade. Both the R and Python programming languages have been used to analyze data. The Achilles’ heel i...
Nov 19 2021
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