par
George, Nathan, author.
Numéro de rayon préféré
005.7 23
Date de publication
2021
Résumé
The book provides a one-stop solution for getting into data science with Python and teaches how to extract insights from data.
Format :
Ressources électroniques
Pertinence:
0.0455
par
Amr, Tarek, author.
Numéro de rayon préféré
006.31 23
Date de publication
2020
Résumé
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 :
Ressources électroniques
Pertinence:
0.0442
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par
Dey, Sandipan, author.
Numéro de rayon préféré
005.133 23
Date de publication
2020
Format :
Ressources électroniques
Pertinence:
0.0430
par
Chopra, Rohan, author.
Numéro de rayon préféré
006.35 23
Date de publication
2020
Résumé
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 :
Ressources électroniques
Pertinence:
0.0430
par
Saleh, Hyatt.
Numéro de rayon préféré
006.31 23
Date de publication
2020
Résumé
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 :
Ressources électroniques
Pertinence:
0.0430
par
Venturi, Luca.
Numéro de rayon préféré
629.046028637 23
Date de publication
2020
Résumé
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 :
Ressources électroniques
Pertinence:
0.0419
par
Auffarth, Ben.
Numéro de rayon préféré
005.133 23
Date de publication
2020
Résumé
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 :
Ressources électroniques
Pertinence:
0.0409
par
Dop, Thomas, author.
Numéro de rayon préféré
006.35 23
Date de publication
2020
Format :
Ressources électroniques
Pertinence:
0.0400
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