Fri.Jan 20, 2023

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What is Data Quality in Machine Learning?

Analytics Vidhya

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

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ChatGPT as a Python Programming Assistant

KDnuggets

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

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Ensemble Learning Methods: Bagging, Boosting and Stacking

Analytics Vidhya

Introduction Machine learning is great! But there’s one thing that makes it even better: ensemble learning. Ensemble learning helps enhance the performance of machine learning models. The concept behind it is simple. Multiple machine learning models are combined to obtain a more accurate model. Bagging, boosting and stacking are the three most popular ensemble learning techniques. […] The post Ensemble Learning Methods: Bagging, Boosting and Stacking appeared first on Analytics Vidhy

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Does the Future of Work include Network as a Service (NaaS)?

CIO Business Intelligence

By: Cathy Won, Consultant with eTeam, HPE Aruba Contributor. The Future of Work and the Workplace is a 2023 Leesman survey report co-authored by HPE Aruba. The report explores the critical questions on the minds of business leaders coming out of the pandemic today. What is the future of work and the workplace? How must organizations adapt? Unsurprisingly, the report revealed that 94% of corporate real estate leaders surveyed indicated that they are making changes, with 55% indicating that mean

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Get Better Network Graphs & Save Analysts Time

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.

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Unlock Learnings with the January DataHour Sessions!

Analytics Vidhya

Introduction If you are looking for a platform where you can learn about Data Science, then look no more! Analytics Vidhya is the one. We have always kept our community at the centre stage of the ecosystem. In mind, Analytics Vidhya has launched the DataHour sessions, which will improve your domain knowledge and help you […] The post Unlock Learnings with the January DataHour Sessions!

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IoT Adoption in Healthcare Brings Security Opportunities

CIO Business Intelligence

By Anand Oswal, Senior Vice President and GM at cyber security leader Palo Alto Networks Connected medical devices, also known as the Internet of Medical Things or IoMT, are revolutionizing healthcare, not only from an operational standpoint but related to patient care. In hospital and healthcare settings around the world, connected medical devices support critical patient care delivery and a wide variety of clinical functions, from medical infusion pumps and surgical robots to vital sign monito

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The Insurance Industry is Ready for a lot More Change

Teradata

The dwindling personal auto insurance market is a harbinger of a lot more change to come. Find out more.

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Encoding Categorical Features with MultiLabelBinarizer

KDnuggets

Transform multi-label format into a binary matrix for multi-label classification.

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The Technology Enabling Successful Hybrid Workforce Transformation

CIO Business Intelligence

What was once an anomaly is now a global reality as remote and hybrid work models settle in across industries. To adapt to this new “new normal,” organizations will need to reinforce their workforces with technologies that can keep pace. In 2022, the percentage of remote workdays in the US soared above the pre-pandemic levels of 5 percent to reach 30 percent. [1] Though some high-profile CEOs are now instating strict return-to-office policies, most are finding ways to compromise.

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Can analytics save startups from failing?

Aryng

Introduction Starting a business is a risky endeavor, with many startups facing a high failure rate. According to a study by the Bureau of Labor Statistics (BLS), approximately 20% of small businesses fail within their first year, and around 50% fail within the first five years. It’s a scary time for startups – funds have dried […] The post Can analytics save startups from failing?

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Understanding User Needs and Satisfying Them

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.

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3 Steps to Win Pole Position in the AI Race

Dataiku

Like a racetrack, AI scaling is not a straight line. Your data and AI journey comprises various turns: sweeping turns, hairpins, chicanes, etc. Like in car racing, navigating these turns effectively and exiting the turn at full throttle is your secret to winning the AI race. But, often, doing it right takes much time, and you never have enough time.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO Business Intelligence

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Many companies have been experimenting with advanced analytics and artificial intelligence (AI) to fill this need. Now, they must turn their proof of concept into a return on investment.

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The essential check list for effective data democratization

CIO Business Intelligence

Truly data-driven companies see significantly better business outcomes than those that aren’t. According to a recent IDC whitepaper , leaders saw on average two and a half times better results than other organizations in many business metrics. In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to rep

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.