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Book Review: The Kaggle Book/Workbook

insideBIGDATA

Now, there are two excellent books to lead you through the Kaggle process. The Kaggle Book by Konrad Banachewicz and Luca Massaron published in 2022, and The Kaggle Workbook by the same authors published in 2023, both from UK-based Packt Publishing, are excellent learning resources.

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Book Review: Math for Deep Learning

insideBIGDATA

If you're interested in getting quickly up to speed with how deep learning algorithms work at a basic level, then this is the book for you. One of my favorite learning resources for gaining an understanding for the mathematics behind deep learning is "Math for Deep Learning" by Ronald T. Kneusel from No Starch Press.

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The 10 Best Books on Time Series Analysis

Analytics Vidhya

The books you select can greatly affect your level of knowledge in […] The post The 10 Best Books on Time Series Analysis appeared first on Analytics Vidhya. For anybody interested in learning more about this intriguing topic, the trip frequently starts with the correct guidebooks.

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Top 6 Books on Retrieval Augmented Generation (RAG)

Analytics Vidhya

Fortunately, there are excellent books available to guide you on this journey. To help you, in this article, we’ll focus on the six best […] The post Top 6 Books on Retrieval Augmented Generation (RAG) appeared first on Analytics Vidhya. But where should you start?

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

You’ll receive a template to apply for your solution and opportunity to receive the Software Profit Streams™ book. We’ll explore how to shift from ambiguous descriptions of value to economic modeling of customer benefits to identify value exchange choices that enable a profitable pricing model.

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Book Excerpt: Data, Technology, and Algorithms

insideBIGDATA

The following book excerpt is by Cristina Alaimo and Jannis Kallinikos, leading scholars working at the intersection of information systems and organizational studies and co-authors of DATA RULES: Reinventing the Market Economy (MIT Press; June 4, 2024).

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5 Books Every GenAI Enthusiast Should Read

Analytics Vidhya

According to industry projections, the GenAI sector is forecasted to burgeon […] The post 5 Books Every GenAI Enthusiast Should Read appeared first on Analytics Vidhya. GenAI, the fusion of creativity and AI, is poised to transform industries across the globe.

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7+ Graphics Libraries to Enhance Your Embedded Analytics

This e-book details a number of graphics libraries plus a few bonus tools to modernize your embedded dashboards. If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond.

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The Hitchhiker’s Guide to Embedded Analytics – 4 Mission-Critical Steps to Take on Your Analytics Journey

Based on insights derived from industry professionals, this e-book uses first-hand experiences to help inform your analytics strategy. If you’ve been wondering how to invest in analytics, this research-based guide will take you through the 4 steps to finding the right solution for your application that will drive the most value.

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Insiders Guide to Self-Service Analytics

This e-book describes the contrast in user experience between customizable self-service analytics and one-size-fits-all self-service analytics and what these options mean for your application and your business.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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The Big Payoff of Application Analytics

That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.