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Mastering Generative AI and Prompt Engineering: A Free eBook

KDnuggets

Perhaps you would find a concise, focused ebook on the topics useful. In short, generative AI — and the prompts that power them — are everywhere. But beyond the basics, what do you really know about either?

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Mathematics for Machine Learning: The Free eBook

KDnuggets

Check out this free ebook covering the fundamentals of mathematics for machine learning, as well as its companion website of exercises and Jupyter notebooks.

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Essential MLOps: A Free eBook

KDnuggets

Check out this free ebook on the essentials of machine learning operations.

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Data Scientist’s Guide to Cognitive Biases: A Free eBook

KDnuggets

Check out this free ebook for this and more. Are you interested in exploring the topic of cognitive biases? Want to see how they may be affecting your data science practice?

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6 Best Practices for Operational Reporting

In our eBook, you’ll learn the do’s and don’ts to embedding operational reports, and how to avoid common reporting mistakes. Meeting requirements alone is no longer enough. Today’s users need insightful reporting built on accurate, real-time data.

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Super Study Guide: A Free Algorithms and Data Structures eBook

KDnuggets

Check out Super Study Guide: Algorithms and Data Structures, a free ebook covering foundations, data structures, graphs, and trees, sorting and searching.

Algorithm 136
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Free eBook: 10 Practical Python Programming Tricks

KDnuggets

Check out this free ebook of tip and tricks for getting ahead with your Python programming skills.

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The Essential Guide to Building Analytic Applications

Download this eBook to discover insights from 16 top product experts, and learn what it takes to build a successful application with analytics at its core. What should software teams know about implementing security that works with the rest of their products?

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The Big Payoff of Application Analytics

That's what drove the five companies in this eBook to change their approach to analytics. Outdated or absent analytics won’t cut it in today's data-driven applications. And they won’t cut it for your end users, your development team, or your business.

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Blueprint to Modernize Analytics

Download the eBook to get started today! But don't worry, Logi Analytics' Blueprint to Modernize Analytics will help you define your new solution, plot out how to get there and determine what you'll need in terms of time and resources. When it comes to your revenue and customer loyalty, don't be reactive, be proactive.

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Best Practices for Deploying & Scaling Embedded Analytics

Download the eBook to learn about Best Practices for Deploying & Scaling Embedded Analytics. Deployment: Benefits and drawbacks of hosting on premises or in the cloud. Packaging and Deployment Workflow: Embedded analytics solution should work seamlessly with your current application.

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Drive Better Decision-Making with Data Storytelling

Download the eBook to learn about Drive Better Decision-Making with Data Storytelling. Narrative - This component is centered on the simple language used to describe the data. Visualizations and insights are supported by a narrative that helps to expedite the decision-making process.

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How to Build Data Experiences for End Users

Download the eBook to learn about How to Build Data Experiences for End Users. Data aware: Users can combine past experiences, intuition, judgment, and qualitative inputs and data analysis to make decisions.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".