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Tag: unstructured
Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data (English Edition)
Price: $41.79
(as of Dec 29,2024 05:14:55 UTC – Details)
ASIN : B09W67CPVT
Publisher : BPB Publications; 1st edition (March 22, 2022)
Publication date : March 22, 2022
Language : English
File size : 6044 KB
Text-to-Speech : Enabled
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 572 pages
Are you looking to take your TensorFlow skills to the next level? Look no further than “Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data.” In this comprehensive guide, you will learn how to harness the full power of TensorFlow 2.x to build and deploy cutting-edge neural networks across a variety of data types.Whether you’re working with structured data, unstructured data, or time series data, this book will provide you with the tools and techniques you need to succeed. With hands-on examples and practical exercises, you’ll gain a deep understanding of how to preprocess and manipulate different types of data, create and train neural networks, and optimize their performance for real-world applications.
From convolutional neural networks for image recognition to recurrent neural networks for natural language processing, this book covers a wide range of topics to help you become a master of TensorFlow 2.x. Whether you’re a beginner looking to get started or an experienced practitioner looking to sharpen your skills, “Mastering TensorFlow 2.x” is the ultimate resource for anyone looking to build powerful neural networks across diverse datasets.
#Mastering #TensorFlow #2.x #Implement #Powerful #Neural #Nets #Structured #Unstructured #datasets #Time #Series #Data #English #Edition,rnn
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Price : 14.19
Ends on : N/A
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Are you looking to take your text mining skills to the next level? Look no further than “The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data.” This comprehensive guide delves into the world of text mining, offering advanced techniques and approaches for extracting valuable insights from unstructured data.From sentiment analysis and topic modeling to entity recognition and text classification, this handbook covers a wide range of advanced text mining techniques that will help you uncover hidden patterns and trends within your data. Whether you’re a seasoned data scientist or just starting out in the field, this book is a valuable resource for anyone looking to enhance their text mining capabilities.
With real-world examples, practical tips, and step-by-step tutorials, “The Text Mining Handbook” is a must-have for anyone working with unstructured data. Take your text mining skills to the next level and unlock the full potential of your data with this essential guide.
#Text #Mining #Handbook #Advanced #Approaches #Analyzing #Unstructured #Data
Natural Language Processing with AWS AI Services: Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend
Price:$54.99– $51.72
(as of Dec 27,2024 14:29:46 UTC – Details)
Publisher : Packt Publishing (November 26, 2021)
Language : English
Paperback : 508 pages
ISBN-10 : 1801812535
ISBN-13 : 978-1801812535
Item Weight : 1.94 pounds
Dimensions : 9.25 x 7.5 x 1.05 inches
Natural Language Processing (NLP) is a powerful tool that allows businesses to derive valuable insights from unstructured data, such as customer reviews, social media posts, and email communications. With the help of AWS AI services like Amazon Textract and Amazon Comprehend, organizations can now easily analyze and extract key information from vast amounts of text data.Amazon Textract is a machine learning service that automatically extracts text and data from scanned documents, such as invoices, contracts, and forms. By using optical character recognition (OCR) technology, Textract can accurately identify and extract text, tables, and other structured data from various types of documents. This can be extremely useful for businesses looking to digitize their paper documents and make them searchable and analyzable.
On the other hand, Amazon Comprehend is a natural language processing service that uses machine learning algorithms to analyze text data and extract insights, such as sentiment analysis, entity recognition, and key phrase extraction. With Comprehend, businesses can gain a deeper understanding of their customers’ opinions, preferences, and behaviors by analyzing large volumes of text data, such as customer reviews, social media posts, and survey responses.
By combining Amazon Textract and Amazon Comprehend, businesses can unlock the full potential of their unstructured data and derive strategic insights that can drive business growth and innovation. Whether it’s understanding customer feedback, identifying emerging trends, or improving operational efficiency, NLP with AWS AI services can help businesses stay ahead of the competition and make informed decisions based on data-driven insights.
In conclusion, Natural Language Processing with AWS AI services like Amazon Textract and Amazon Comprehend offers businesses a powerful tool for analyzing and extracting valuable insights from unstructured data. By leveraging the capabilities of these AI services, organizations can unlock the full potential of their text data and gain a competitive edge in today’s data-driven marketplace.
#Natural #Language #Processing #AWS #Services #Derive #strategic #insights #unstructured #data #Amazon #Textract #Amazon #Comprehend
Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention
Price:$49.95– $34.56
(as of Dec 24,2024 22:18:32 UTC – Details)
Publisher : Wiley; 1st edition (March 13, 2018)
Language : English
Hardcover : 432 pages
ISBN-10 : 1119129753
ISBN-13 : 978-1119129752
Item Weight : 2.31 pounds
Dimensions : 6.3 x 1.5 x 9.1 inches
Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and PreventionIn today’s digital age, businesses are flooded with vast amounts of unstructured data from various sources such as social media, emails, customer reviews, and more. While this data holds valuable insights that can help businesses improve customer acquisition, retention, and fraud detection and prevention, it can be challenging to extract meaningful information from it without the right tools and strategies in place.
One key way businesses can harness the power of unstructured data is through advanced analytics techniques. By utilizing machine learning algorithms, natural language processing, and sentiment analysis, businesses can uncover patterns, trends, and anomalies in unstructured data that can inform their customer acquisition and retention strategies, as well as help detect and prevent fraudulent activities.
When it comes to customer acquisition, unstructured data analytics can help businesses identify potential leads and target them with personalized marketing campaigns based on their preferences and behaviors. By analyzing customer interactions on social media, websites, and other channels, businesses can gain a deeper understanding of their target audience and tailor their messaging to resonate with them.
Similarly, when it comes to customer retention, unstructured data analytics can help businesses identify at-risk customers and proactively address their concerns before they churn. By monitoring customer feedback, reviews, and interactions, businesses can identify common pain points and address them to improve customer satisfaction and loyalty.
Finally, when it comes to fraud detection and prevention, unstructured data analytics can help businesses identify suspicious activities and patterns that may indicate fraud. By analyzing transaction data, user behavior, and other sources of unstructured data, businesses can flag potential fraudulent activities and take proactive measures to prevent financial losses.
In conclusion, unstructured data analytics can be a powerful tool for businesses looking to improve customer acquisition, retention, and fraud detection and prevention. By leveraging advanced analytics techniques, businesses can extract valuable insights from unstructured data that can inform their decision-making and drive growth and profitability.
#Unstructured #Data #Analytics #Improve #Customer #Acquisition #Customer #Retention #Fraud #Detection #Prevention
Applied Unsupervised Learning with Python: Discover hidden patterns and relationships in unstructured data with Python
Price: $30.39
(as of Dec 24,2024 02:19:23 UTC – Details)
ASIN : B07KX42TXY
Publisher : Packt Publishing; 1st edition (May 28, 2019)
Publication date : May 28, 2019
Language : English
File size : 28697 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 482 pages
Unsupervised learning is a powerful technique in machine learning that allows us to uncover hidden patterns and relationships within unstructured data. In this post, we will explore how to apply unsupervised learning techniques with Python to discover these hidden insights.Python is a popular programming language for data analysis and machine learning due to its simplicity and extensive libraries. In this post, we will focus on using Python libraries such as scikit-learn and pandas to perform unsupervised learning tasks.
We will start by discussing the basics of unsupervised learning and the different types of techniques that can be applied, such as clustering and dimensionality reduction. We will then provide a step-by-step guide on how to implement these techniques using Python and demonstrate how they can be used to uncover hidden patterns and relationships in unstructured data.
By the end of this post, you will have a solid understanding of how to apply unsupervised learning techniques with Python and be able to use them to gain valuable insights from your data. So, let’s dive in and discover the hidden patterns and relationships in your data with Python!
#Applied #Unsupervised #Learning #Python #Discover #hidden #patterns #relationships #unstructured #data #Python
Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
Price:$49.99– $40.49
(as of Dec 17,2024 06:49:14 UTC – Details)
Publisher : Packt Publishing (June 30, 2023)
Language : English
Paperback : 382 pages
ISBN-10 : 1803231106
ISBN-13 : 978-1803231105
Item Weight : 1.47 pounds
Dimensions : 0.79 x 7.52 x 9.25 inches
Are you looking to enhance your data analysis skills with Python? Look no further than the “Exploratory Data Analysis with Python Cookbook.” With over 50 recipes to help you analyze, visualize, and extract insights from both structured and unstructured data, this book is a must-have for any data enthusiast.From cleaning and preprocessing data to creating interactive visualizations and performing advanced statistical analysis, this cookbook covers it all. Whether you’re a beginner looking to get started with data analysis or an experienced data scientist looking to expand your skillset, this book has something for everyone.
So, grab your copy of the “Exploratory Data Analysis with Python Cookbook” and take your data analysis skills to the next level. Happy analyzing!
#Exploratory #Data #Analysis #Python #Cookbook #recipes #analyze #visualize #extract #insights #structured #unstructured #data
