Analytics Vidhya
AUGUST 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data is compelling and critical for businesses to generate actionable and valuable insights only when used correctly. In addition, it is also essential to analyze and organize it well. However, only a few business data are analyzed and stored appropriately. Source: [link] […].
KDnuggets
AUGUST 10, 2022
Join researchers, practitioners, educators, and students from around the world working in industry, government, laboratories, and academia for this thought-provoking conference.
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Analytics Vidhya
AUGUST 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction You can access your Azure Data Lake Storage Gen1 directly with the RapidMiner Studio. This is the feature offered by the Azure Data Lake Storage connector. It supports both reading and writing operations. You can also read from a set of files […]. The post Connecting and Reading Data From Azure Data Lake appeared first on Analytics Vidhya.
KDnuggets
AUGUST 10, 2022
Free AI for Beginners Course • Most In-demand Artificial Intelligence Skills To Learn In 2022 • Getting Started with SQL Cheatsheet • 3 Free Statistics Courses for Data Science • The Complete Collection of Data Science Projects – Part 1.
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.
Analytics Vidhya
AUGUST 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Template matching is a high-level computer vision approach that detects image portions that match a predetermined template. Advanced template matching algorithms detect template occurrences regardless of orientation or local brightness. In medical image analysis, invariant characteristics or innovative applications are commonly used […].
KDnuggets
AUGUST 10, 2022
Two types of regularized regression models are discussed here: Ridge Regression (L2 Regularization), and Lasso Regression (L1 Regularization).
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
AUGUST 10, 2022
By the end of this article, you should be able to distinguish between these concepts.
Andrew White
AUGUST 10, 2022
Did you watch the Hungarian F1 race Sunday July 31st? Max Verstappen qualified 10th on Saturday but won the race. Lewis Hamilton started 7th and ended second. The pole sitter, George Russel ended up third. The two Ferrari drivers, who qualified 2nd and 3rd and favored to perform well, ended up 4th and 6th respectively. Something went array for Ferrari, but what?
Aryng
AUGUST 10, 2022
“Banking has to work when and where you need it. The best advice and the best service in financial services happens in real-time and is based on customer behavior, using principles of Big Data, mobility and gamification.” – Brett King One could argue that the sector where data science is most effective is Financial Technology (Fintech). […] The post How Data Science Is Used In Fintech appeared first on Aryng's Blog.
DataRobot Blog
AUGUST 10, 2022
Change is happening fast across the NHS with the focus squarely on harnessing the huge amount of data the NHS generates — to drive forward the transformation programmes needed to address the backlog for elective care and growing demands for services. As Integrated Care Systems (ICSs) in England officially launch, we take a look at the key opportunities presented to ICS regions to harness cutting-edge modern and integrated analytical frameworks to accelerate the attainment of operating efficienc
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
CIO Business Intelligence
AUGUST 10, 2022
In advertising, getting the right message to the right audience is easier said than done. For Dana McGraw, vice president of audience modeling and data science at Disney Advertising Sales, the key is data — and how it can be shared with advertisers to enhance its value without compromising privacy and anonymity. “It’s about how to deliver the right ad to the right consumer at the right time so we improve their ad experience as well as the experience for the brands who buy ads from us,” she says.
Domino Data Lab
AUGUST 10, 2022
In the last few years, machine learning and deep learning have become a core part of fields like healthcare, retail, banking, and insurance. This list can go on indefinitely—there's almost no field where machine learning (ML) is not applied to improve the overall efficiency and accuracy of systems. As the world's economy has rapidly grown, so has the need to do things automatically.
CIO Business Intelligence
AUGUST 10, 2022
A new generation of customers has arrived, fuelled by the pandemic-induced shift to digital. They’re demanding a new generation of customer service, enabled by emerging channels such as digital messaging and chatbots, and hyper-personalised, AI-driven services. While organisations have been forced to digitise as a result of the mass shift to remote and hybrid working, and an increasing reliance on cloud-based services, many continue to face hurdles in modernising the contact centre experience to
Cloudera
AUGUST 10, 2022
Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. In CSP, Kafka serves as the storage streaming substrate, and Flink as the core in-stream processing engine that supports SQL and REST interfaces.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
CIO Business Intelligence
AUGUST 10, 2022
By: Stephanie Crawford, Solutions Marketing Manager at Aruba, a Hewlett Packard Enterprise company. Recent discussion about hybrid work has centered around enabling employees to work remotely, but remote work is only half of the hybrid equation. Equally important is ensuring that the corporate office environment provides the workspace and the technology to support this new way of working.
Dataiku
AUGUST 10, 2022
At our recent Everyday AI Conference in New York , Kurt Muehmel, former Chief Customer Officer at Dataiku (who will transition to a new position at the company later this year), was joined on stage by Debbie Reynolds, Vice President of Enterprise Data Solutions and Engineering at Pfizer, for a conversation about the AI journey en route at Pfizer. Starting around ten years ago, with focus points of democratization and breaking down silos, Pfizer jumped into a process that has developed into a won
Smarten
AUGUST 10, 2022
Why Does My Business Need to Add Analytics to Tally ERP? If your business is currently using Tally ERP, your business users are familiar with the features and the data structure of the module they use, whether they are an accounting professional, managing inventory, reviewing sales or preparing statutory financial reports. Your management team may be considering adding analytics to your organization in order to democratize data and to improve fact-based decision making.
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