Analytics Vidhya
SEPTEMBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples. Often referred to as the ‘Hello World’ of Computer Vision, it’s a great starting […].
David Menninger's Analyst Perspectives
SEPTEMBER 16, 2022
Business intelligence has evolved. It now includes a spectrum of analytics , one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intelligence with machine learning is not replacing human intelligence, but augmenting it. The term also represents the application of AI/ML to make business intelligence and analytics tools more powerful and easier to use.
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Analytics Vidhya
SEPTEMBER 16, 2022
Introduction Data science is a practical subject that the experts can best explain in the field. To provide our community with a better understanding of how different elements of the subject are used in different domains, Analytics Vidhya has launched our DataHour sessions. These sessions will enhance your domain knowledge and help you learn new […].
KDnuggets
SEPTEMBER 16, 2022
Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Analytics Vidhya
SEPTEMBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction AWS is a cloud computing service that provides on-demand computing resources for storage, networking, Machine learning, etc on a pay-as-you-go pricing model. AWS is a premier cloud computing platform around the globe, and most organization uses AWS for global networking and data […].
Dataiku
SEPTEMBER 16, 2022
This is a guest article from Eric Kahuha. Kahuha is an ambitious data scientist and an experienced technical writer. His work has been published in many blogs. He writes highly technical yet easy-to-understand content for beginners and experts in the tech field.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
SEPTEMBER 16, 2022
This post will look at a few different ways of attempting to simplify decision tree representation and, ultimately, interpretability. All code is in Python, with Scikit-learn being used for the decision tree modeling.
Smart Data Collective
SEPTEMBER 16, 2022
Big data technology is shaping the future of healthcare. Global healthcare companies are projected to spend over $105 billion on big data by 2030. One of the biggest benefits of big data in healthcare has been in the field of virtual healthcare. Demand for virtual healthcare services exploded during the pandemic. Big data technology is helping make this new field even more promising.
KDnuggets
SEPTEMBER 16, 2022
The post introduces one of the most popular recommendation algorithms, i.e., collaborative filtering. It focuses on building an intuitive understanding of the algorithm illustrated with the help of an example.
CIO Business Intelligence
SEPTEMBER 16, 2022
Like any other retailer, grocery stores want to build trust with their customers and keep them coming back. But the average bill and already slender margins in grocery can make it challenging to create a loyalty program that provides sufficiently compelling rewards. Nevertheless, it’s worth the effort, given that loyalty programs are a powerful incentive for grocery shoppers.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
KDnuggets
SEPTEMBER 16, 2022
Get up to speed on SQL and relational databases with this free video course.
datapine
SEPTEMBER 16, 2022
“Most of us need to listen to the music to understand how beautiful it is. But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. datapine is filling your bookshelf thick and fast. Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates.
KDnuggets
SEPTEMBER 16, 2022
TransformX by Scale AI is happening on October 19th - 21st. Don't miss this opportunity to learn from leading AI and ML experts across industries. Registration is free and the conference is virtual with one day in-person at SF Jazz.
CIO Business Intelligence
SEPTEMBER 16, 2022
Technological disruptions continue to redefine the CIO role within corporations. As innovators and value creators, CIOs are charged with managing developments like low-code/no-code (LCNC), which is revolutionizing user-generated innovation by enabling people with little to no coding experience, or “citizen developers,” to quickly and easily deliver new capabilities on demand without having to rely on established development teams.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
KDnuggets
SEPTEMBER 16, 2022
Check out these online tools to save you time & effort.
KDnuggets
SEPTEMBER 16, 2022
By themselves, these data points will probably not provide much insight into a single customer. However, a company that has some or all of this information is well-positioned to have a strong idea of how legitimate its visitors are.
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