Welcome to Jen Stirrup's Bank of Resources
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I hope you enjoy this collection of resources including; Podcasts, Webinars, Guest Blogs and Interviews.
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Books & eBooks
A Practical Guide to Using Third-Party Data in the Cloud
Innovative teams have shifted their focus from data-driven business intelligence to accelerating insight-driven decision-making and now are turning to third-party datasets as a differentiator.
To help you navigate this proliferating data landscape, AWS Data Exchange would like to present you with a copy of the new eBook, A Practical Guide to Using Third-Party Data in The Cloud.
Drawing on the expertise of today’s top leaders, this roadmap provides tactics, techniques, and procedures for leveraging external datasets, data-sharing programs, and data valuation. Implementing the best practices in this collection will help provide leaders with foundational knowledge and actionable advice to create value, drive innovation, and transform your business with third-party data in the cloud.
Read this guide to learn about:
- Creating a data-sharing culture, fostering a data-sharing mindset, and implementing the right data-sharing information architecture for your organization
- Building a unique data innovation strategy and accelerating business outcomes with machine learning and automation
- Leveraging third-party data to outperform, increase competitive edge, and expand the power of insights and analytics
- Determining the value of external data, understanding the external data imperative, and thriving in the new data economy
Artificial Intelligence with Microsoft Power BI
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Hands-On Machine Learning with Azure: Build powerful models with cognitive machine learning and artificial intelligence
Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way.
The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll integrate patterns with other non-AI services in Azure.
By the end of this book, you will be fully equipped to implement smart cognitive actions in your models.
Winning Mindset: Elite Strategies for Peak Performance
Are you performing at your very best? This book, Winning Mindset, was created to help you do just that. It is about achieving the highest level of peak performance in sports, school, business, and life.
With a winning mindset, anyone can achieve more than they thought possible. This book is filled with elite strategies that allow people from all areas of life to perform at their best.
Performing with a winning mindset is what separates the athletes who win Olympic medals from the thousands of other athletes (who might be just as fit and just as smart) who do not.
Performing with a winning mindset is what separates entrepreneurs who build strong, profitable companies from the thousands of other (equally talented) people who fail in business.
Whatever your area of performance—sports, academics, business—there are going to be individuals who succeed more than others. With this in mind, Winning Mindset is about creating a winning attitude within ourselves first and attracting actual wins in our lives as a result.
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