Analytics Vidhya

MAY 17, 2023

How can we sift through many variables to identify the most influential factors for accurate predictions in machine learning? Recursive Feature Elimination offers a compelling solution, and RFE iteratively removes less important features, creating a subset that maximizes predictive accuracy. By leveraging a machine learning algorithm and an importance-ranking metric, RFE evaluates each feature’s impact […] The post Recursive Feature Elimination: Working, Advantages & Examples ap

Machine Learning 174

Machine Learning Algorithm Data Analysis Big Data 174

Waitingforcode

MAY 17, 2023

Finally, the time has come to start the analysis of the new features in Apache Spark. The first of them that grabbed my attention was the Async progress tracking from Structured Streaming.

130

130

KDnuggets

MAY 17, 2023

In this article, I will give you a brief introduction to anomaly detection and I will guide you through the different techniques that you can use to identify anomalies.

Data Science 101

Data Science Data 101

ArcGIS

MAY 17, 2023

Learn how to produce a monthly elevation dataset for the Greenland Ice Sheet using Trajectory Dataset

Datasets 117

Datasets Data 117

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.

Data Science

Cloudera

MAY 17, 2023

During Women’s History Month, Cloudera hosted a fantastic fireside chat featuring Irma Laxamana, Chief Legal Officer for Cloudera, and Cloudera’s CHRO, Amy Nelson. The discussion was wide-ranging from reflecting on career lessons learned, to advice on navigating the workplace. Below are the highlights of the chat. About Irma Laxamana Irma is the Chief Legal Officer at Cloudera leading a global team of lawyers and legal professionals supporting all areas of the business.

Building 87

Building Technology IT Systems 87

KDnuggets

MAY 17, 2023

And how to enhance your code quality using it.

Coding 143

Coding IT 143

ArcGIS

MAY 17, 2023

This blog shows how to improve your QA/QC workflows in a branch versioning setting by making use of the version properties.

Data 90

Data Data Management Management 90

Towards Data Science

MAY 17, 2023

Rethink Data Engineering Than Just Focusing On Tools Continue reading on Towards Data Science »

Data Engineering 86

Data Engineering Data Engineer Engineering IT 86

KDnuggets

MAY 17, 2023

Mojo Lang: The New Programming Language • Pandas AI: The Generative AI Python Library • Data Scientist’s Guide to Cognitive Biases: A Free eBook • 8 Free AI and LLMs Playgrounds • Practical Statistics for Data Scientists

Programming Language 57

Programming Language Programming Python Data 57

databricks

MAY 17, 2023

Data is a powerful tool that can be used to improve many aspects of our lives, including our health. With the proliferation of.

Data 70

Data 70

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.

Engineering

Monte Carlo

MAY 17, 2023

Bad pull requests may not be the root of all evil—but they’re certainly the root of some gnarly data quality incidents. The good news? There’s a better way to manage them than pushing code to prod and hoping for the best. Introducing Monte Carlo’s GitHub integration , which allows customers to easily investigate breaking changes and understand the downstream impact of new pull requests.

Coding 52

Coding Data Pipeline Data Engineering Data Engineer 52

Snowflake

MAY 17, 2023

A pricing strategy that maximizes profitability without compromising conversion has been a long-standing challenge for retailers—one that is both more important and more complex to execute because of recent macroeconomic and competitive forces. Capturing wallet share is critical for retailers as consumer spending decreases while the cost of goods and shipping increase.

Retail 52

Retail Machine Learning Data Warehouse Architecture 52

Monte Carlo

MAY 17, 2023

Bad pull requests may not be the root of all evil—but they’re certainly the root of some gnarly data quality incidents. The good news? There’s a better way. Introducing Monte Carlo’s GitHub integration , which allows customers to easily investigate breaking changes and understand the downstream impact of new pull requests. Extend data observability to your code Monte Carlo’s latest integration extends data quality coverage further upstream into your PRs on GitHub, expediting incident resolution

Data Pipeline 52

Data Pipeline Data Engineering Data Engineer Data 52

Knowledge Hut

MAY 17, 2023

Kanban methodology is one of the popular agile methodologies which emphasizes continuous improvement, visualization of workflows, and limiting work in progress (WIP) for improving the efficiency and effectiveness of the team's work. For improving your team's knowledge of Kanban and Agile, you can recommend your team to go for courses such as the Kanban course online.

Management 52

Management Certification Utilities Project 52

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.

Building

Edureka

MAY 17, 2023

Google Bard is the new OG in the industry of Artificial Intelligence. You will be surprised to know that Google Bard at times shows some humor. It once responded, “42,” in answer to the question, “What is the meaning of life?” This is a reference to the science fiction comedy series The Hitchhiker’s Guide to the Galaxy, in which 42 is revealed to be the solution to the fundamental question of life, the cosmos, and everything.

Cloud Storage 52

Cloud Storage Education Government Accessible 52

Hevo

MAY 17, 2023

According to a research report* by MarketsandMarkets, the data integration market is expected to grow from USD 11.6 Billion in 2021 to USD 19.6 Billion by 2026. This implies the huge potential of data integration and the two approaches to data management– ETL and ELT.

Data Integration 52

Data Integration Data Management Management Data 52

Pinterest Engineering

MAY 17, 2023

Isabel Tallam | Sw Eng, Real Time Analytics; Charles Wu | Sw Eng, Real Time Analytics; Kapil Bajaj | Eng Manager, Real Time Analytics Detecting anomalous events has been becoming increasingly important in recent years at Pinterest. Anomalous events, broadly defined, are rare occurrences that deviate from normal or expected behavior. Because these types of events can be found almost anywhere, opportunities and applications for anomaly detection are vast.

Algorithm 68

Algorithm Engineering Machine Learning Project 68

Ascend.io

MAY 17, 2023

As we chart the course into the future, it’s clear that artificial intelligence (AI) is poised to transform the world as we know it. The capacity of AI to enhance our work and lives is particularly evident within the field of data engineering. AI isn’t limited to the domain of tech elites—it’s making its mark across all areas of work.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

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.

Certification

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52