Thu.Aug 04, 2022

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How to Deal with Categorical Data for Machine Learning

KDnuggets

Check out this guide to implementing different types of encoding for categorical data, including a cheat sheet on when to use what type.

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Introduction to Requests Library in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Requests in Python is a module that can be used to send all kinds of HTTP requests. It is straightforward to use and is a human-friendly HTTP Library. Using the requests library; we do not need to manually add the query string […]. The post Introduction to Requests Library in Python appeared first on Analytics Vidhya.

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Most In-demand Artificial Intelligence Skills To Learn In 2022

KDnuggets

Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.

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Multi-variate Time Series Forecasting using Kats Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Kats model-which is also developed by Facebook Research Team-supports the functionality of multi-variate time-series forecasting in addition to univariate time-series forecasting. Often we need to forecast a time series where we have input variables in addition to ‘time’; this is where the […].

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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The Right Stuff: The Role of MLOps in AI Success

CIO Business Intelligence

Great teams incorporate a variety of skill sets. For example, a football team consisting of 11 quarterbacks would get crushed in a game against talented linemen, running backs and receivers. It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise.

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Introduction to Intelligent Search Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Intelligent Search Algorithms Search problems are widespread in real-world applications. Search algorithms are beneficial in simplifying or solving the problems such as searching a database or the internet. One of the most popular search problems is to find the shortest path […].

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Introduction to Amazon Glacier & it’s Use Cases

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Amazon Glacier is a cloud storage platform developed and launched by AWS with longer loading times. Accordingly, the developer is supposed to use Amazon Glacier to move less available data to archive storage to save storage costs. Source: [link] Developers can also […].

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Renaming Tables in SQL Servers is Vital for Data-Driven Entities

Smart Data Collective

A growing number of businesses are discovering the importance of big data. Thirty-two percent of businesses have a formal data strategy and this number is rising year after year. Unfortunately, they often have to deal with a variety of challenges when they manage their data. One of the biggest issues is with managing the tables in their SQL servers.

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What are the Assumptions of XGBoost?

KDnuggets

In this article, you will learn: how boosting relates to XGBoost; the features of XGBoost; how it reduces the loss function value and overfitting.

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Steps Laptop Owners Must Take to Mitigate Risks of Data Loss

Smart Data Collective

Data loss is a growing problem, as companies become more dependent on data than ever. The cost of data loss can be massive for many companies. A data center outage can cost $7,900 in losses every minute. However, the cost of losing data on a regular computer can be significant as well. Many people store valuable company data on their laptops. Some people also store cryptocurrency wallets on their personal computers.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Why Emily Ekdahl chose co:rise to level up her job performance as a machine learning engineer

KDnuggets

Find out what one of the first learners to complete the co:rise Machine Learning Foundations track said about her experience in the track and what she’s tackling next when she recently talked to Julia Stiglitz, co:rise co-founder and CEO.

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AI Adoption Trends and Lessons Learned: An Expert Q&A

CIO Business Intelligence

Over the past six years, NVIDIA DGX Systems have helped power artificial intelligence projects across enterprises both large and small. I recently spoke with Charlie Boyle, the Vice President and General Manager of DGX Systems at NVIDIA, about the big AI trends he has seen and what’s coming next. Q: Have you been surprised by the growth in AI adoption and how it’s being used?

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The Secret Sauce of LeasePlan’s Award-Winning Logical Data Fabric

Data Virtualization

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of. The post The Secret Sauce of LeasePlan’s Award-Winning Logical Data Fabric appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Why Purpose-Built Infrastructure is the Best Option for Scaling AI Model Development

CIO Business Intelligence

Many companies that begin their AI projects in the cloud often reach a point when cost and time variables become issues. That’s typically due to the exponential growth in dataset size and complexity of AI models. “In an early phase, you might submit a job to the cloud where a training run would execute and the AI model would converge quickly,” says Tony Paikeday, senior director of AI systems at NVIDIA.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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insightsoftware Introduces New Features in Logi Composer 7 Launch, Addressing BI Market Needs

Jet Global

Raleigh, N.C – August 4, 2022 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced the release of Logi Composer 7. Designed for software teams, Logi Composer delivers the first out-of-the-box development experience for embedded analytics, enabling rapid design, build, and embed interactive dashboards and data visualizations.

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Scaling False Peaks

O'Reilly on Data

Humans are notoriously poor at judging distances. There’s a tendency to underestimate, whether it’s the distance along a straight road with a clear run to the horizon or the distance across a valley. When ascending toward a summit, estimation is further confounded by false summits. What you thought was your goal and end point turns out to be a lower peak or simply a contour that, from lower down, looked like a peak.

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Making a Multipaged Application using Streamlit

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If we want to make a small application in Streamlit, it’s enough to make a single web page-based application. But when the application is large, we must consider splitting the contents into different web pages. This can be done using the st.selectbox […]. The post Making a Multipaged Application using Streamlit appeared first on Analytics Vidhya.

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Data-Driven Employee Reviews Are Less Biased and Unfair

Smart Data Collective

Data analytics technology has changed many aspects of the modern workplace. A growing number of companies are using data to make more informed hiring decisions , track payroll issues and resolve internal problems. One of the most important benefits of data analytics is that it can help companies monitor employee performance and provide more accurate feedback.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Speeding up Queries With Z-Order

Cloudera

Z-order is an ordering for multi-dimensional data, e.g. rows in a database table. Once data is in Z-order it is possible to efficiently search against more columns. This article reveals how Z-ordering works and how one can use it with Apache Impala. In a previous blog post , we demonstrated the power of Parquet page indexes, which can greatly improve the performance of selective queries.

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SQL Server and the Cast Function for Data-Driven Companies

Smart Data Collective

A growing number of businesses are relying on big data technology to improve productivity and address some of their most pressing challenges. Global companies are projected to spend over $297 billion on big data by 2030. Data technology has proven to be remarkably helpful for many businesses. However, companies also encounter a number of challenges as they try to leverage the benefits of big data.

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Top 11 change management certifications to boost your IT career

CIO Business Intelligence

Businesses are constantly evolving their use of technology, resulting in almost constant organizational change. Whenever an organization implements a new process, updates an existing process, deploys new technology, or fine-tunes services, its leaders must be mindful that even a simple change to a single process can start a domino effect, introducing issues in a range of other processes that must also be addressed.

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Wi-Fi Connectivity Issues Impede Data-Driven Healthcare Models

Smart Data Collective

Analytics technology has transformed the healthcare industry in recent years. Healthcare organizations are projected to spend over $80 billion on analytics services by 2028. There are many benefits of leveraging analytics in healthcare. Hospitals and individual healthcare providers are using analytics tools to predict the likelihood a patient will develop a disease, minimize medical error rates, reduce costs of delivering treatment and provide a better overall patient experience.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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How CFOs Can Drive Better Data Performance

Anmut

Data is underperforming. Our research suggests that 70% of spending on data delivers no discernible improvement in business outcomes and no measurable return on investment. That’s bad enough, but it gets worse when you consider that the typical company is investing 5-7% of annual revenues in trying to improve the state of its data; in high-tech and highly regulated industries such as financial services, that figure routinely rises to 10%.

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Did Big Data Deliver Business Transformation & Improved CX?

Alation

It’s been one decade since the “ Big Data Era ” began (and to much acclaim!). Analysts asked, What if we could manage massive volumes and varieties of data? What insights and new abilities might we unlock? Ten years later, there’s no doubt much progress has been made. Yet the question remains: How much value have organizations derived from big data?