by
Pimpler, Eric.
Call Number
006.76
Publication Date
2013
Summary
This book is written in a helpful, practical style with numerous hands-on recipes and chapters to help you save time and effort by using Python to power ArcGIS to create shortcuts, scripts, tools, and customizations.""Programming ArcGIS 10.1 with Python Cookbook"" is written for GIS professionals who wish to revolutionize their ArcGIS workflow with Python. Basic Python or programming knowledge is essential.
Format:
Electronic Resources
Relevance:
0.1066
by
Richert, Willi.
Call Number
006.76
Publication Date
2013
Summary
This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and experienced the power of ML-based systems by actually working on them. This book primarily targets Python developers who want to learn about and build Machine Learning into their projects, or who want to pro.
Format:
Electronic Resources
Relevance:
0.0696
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by
George, Nathan, author.
Call Number
005.7 23
Publication Date
2021
Summary
The book provides a one-stop solution for getting into data science with Python and teaches how to extract insights from data.
Format:
Electronic Resources
Relevance:
0.0455
by
Amr, Tarek, author.
Call Number
006.31 23
Publication Date
2020
Summary
This book covers the theory and practice of building data-driven solutions. Includes the end-to-end process, using supervised and unsupervised algorithms. With each algorithm, you will learn the data acquisition and data engineering methods, the apt metrics, and the available hyper-parameters. You will learn how to deploy the models in production.
Format:
Electronic Resources
Relevance:
0.0442
by
Chopra, Rohan, author.
Call Number
006.35 23
Publication Date
2020
Summary
Make NLP easy by building chatbots and models, and executing various NLP tasks to gain data-driven insights from raw text data Key Features Get familiar with key natural language processing (NLP) concepts and terminology Explore the functionalities and features of popular NLP tools Learn how to use Python programming and third-party libraries to perform NLP tasks Book Description Do you want to learn how to communicate with computer systems using Natural Language Processing (NLP) techniques, or make a machine understand human sentiments? Do you want to build applications like Siri, Alexa, or chatbots, even if you've never done it before? With The Natural Language Processing Workshop, you can expect to make consistent progress as a beginner, and get up to speed in an interactive way, with the help of hands-on activities and fun exercises. The book starts with an introduction to NLP. You'll study different approaches to NLP tasks, and perform exercises in Python to understand the process of preparing datasets for NLP models. Next, you'll use advanced NLP algorithms and visualization techniques to collect datasets from open websites, and to summarize and generate random text from a document. In the final chapters, you'll use NLP to create a chatbot that detects positive or negative sentiment in text documents such as movie reviews. By the end of this book, you'll be equipped with the essential NLP tools and techniques you need to solve common business problems that involve processing text. What you will learn Obtain, verify, clean and transform text data into a correct format for use Use methods such as tokenization and stemming for text extraction Develop a classifier to classify comments in Wikipedia articles Collect data from open websites with the help of web scraping Train a model to detect topics in a set of documents using topic modeling Discover techniques to represent text as word and document vectors Who this book is for This book is for beginner to mid-level data scientists, machine learning developers, and NLP enthusiasts. A basic understanding of machine learning and NLP is required to help you grasp the topics in this workshop more quickly.
Format:
Electronic Resources
Relevance:
0.0430
by
Saleh, Hyatt.
Call Number
006.31 23
Publication Date
2020
Summary
With this hands-on, self-paced guide, you'll explore crucial deep learning topics and discover the structure and syntax of PyTorch. Challenging activities and interactive exercises will keep you motivated and encourage you to build intelligent applications effectively.
Format:
Electronic Resources
Relevance:
0.0430
by
Dey, Sandipan, author.
Call Number
005.133 23
Publication Date
2020
Format:
Electronic Resources
Relevance:
0.0430
by
Venturi, Luca.
Call Number
629.046028637 23
Publication Date
2020
Summary
This book will give you insights into the technologies that drive the autonomous car revolution. To get started, all you need is basic knowledge of computer vision and Python.
Format:
Electronic Resources
Relevance:
0.0419
by
Auffarth, Ben.
Call Number
005.133 23
Publication Date
2020
Summary
If you are looking to build next-generation AI solutions for work or even for your pet projects, you'll find this cookbook useful. With the help of easy-to-follow recipes, this book will take you through the advanced AI and machine learning approaches and algorithms that are required to build smart models for problem-solving.
Format:
Electronic Resources
Relevance:
0.0409
by
Dop, Thomas, author.
Call Number
006.35 23
Publication Date
2020
Format:
Electronic Resources
Relevance:
0.0400
by
Hany, John.
Call Number
005.133 23
Publication Date
2019
Summary
This book will help you understand how GANs architecture works using PyTorch. You will get familiar with the most flexible deep learning toolkit and use it to transform ideas into actual working codes. You will apply GAN models to areas like computer vision, multimedia and natural language processing using a sample-generation perspective.
Format:
Electronic Resources
Relevance:
0.0400
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