Simon Späti

AUGUST 25, 2022

Image by Rachel Claire on Pexels Ever wanted or been asked to build an open-source Data Lake offloading data for analytics? Asked yourself what components and features would that include. Didn’t know the difference between a Data Lakehouse and a Data Warehouse? Or you just wanted to govern your hundreds to thousands of files and have more database-like features but don’t know how?

Data Lake 130

Data Lake Data Warehouse Government Data 130

KDnuggets

AUGUST 25, 2022

MLFlow is a tool to manage the end-to-end lifecycle of a Machine Learning model. Likewise, the installation and configuration of an MLFlow service is addressed and examples are added on how to generate and share projects with MLFlow in Layer.

Machine Learning 131

Machine Learning Project Management 131

Confluent

AUGUST 25, 2022

G2 named Confluent the the event stream processing industry leader for top-rated performance, reliability, ease of use, integration APIs, data modeling features, and more.

Process 62

Process Data 62

KDnuggets

AUGUST 25, 2022

Build the essential technical, analytical, and leadership skills needed for careers in today's data-driven world in Northwestern’s Master of Science in Data Science program.

Data Science 97

Data Science Data Programming Building 97

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

Monte Carlo

AUGUST 25, 2022

“How do we scale data observability with Monte Carlo?” I’ve heard this from hundreds of new customers. They’re excited about all that data observability can do for them, but like with any new software, they want prescriptive guidance. “In the ‘Crawl → Walk → Run’ of software adoption, what’s the quickest way for my team to start crawling?” If you’re a data team of 5-15 engineers or analysts, I recommend building healthy data observability muscles using our end-to-end, out-of-the-box monitors , a

Datasets 52

Datasets BI Data SQL 52

KDnuggets

AUGUST 25, 2022

Is data science for you? And if it is, how can you use it to grow your business?

Data Science 113

Data Science Data IT 113

KDnuggets

AUGUST 25, 2022

Sponsored Post Deep learning has become essential knowledge for data scientists, researchers, and software developers.

Deep Learning 83

Deep Learning Data 83

U-Next

AUGUST 25, 2022

Introduction. Machine Learning libraries , like Pandas, Numpy, Matplotlib, OpenCV, Flask, Seaborn, etc., interact with a body of norms or optimize functional areas. They are characterized as an authored syntax to carry out repetitive tasks such as mathematics calculations, visualizing data sources, having to read images, etc. Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, m

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

U-Next

AUGUST 25, 2022

Introduction. Your school assignments should focus on pursuing your passions and gaining practical knowledge. Most students will find their vocation by their senior year, or at the very minimum, they have a clear idea of what they want. Two examples are obtaining a postgraduate degree or a high-paying career that allows you to live independently. And your capstone project for the year ought to be a move.

Project 40

Project Engineering Medical Healthcare 40

U-Next

AUGUST 25, 2022

Introduction. Artificial Intelligence is indeed the science of Machine Learning. Making people aware of current Machine Learning models and developments and enabling them to comprehend original data is the main goal of Machine Learning cheat sheets. They will employ the information in Machine Learning models that individuals and organizations may use after they have a deeper knowledge of the raw and different data formats.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

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

U-Next

AUGUST 25, 2022

Introduction. Python is being utilized more and more in scientific fields. For computational modeling, matrix and vector processing is crucial. Due to their easy language and greater matrix calculation capabilities, NumPy and Pandas have established themselves as important tools for any science computing in Python, including machine learning. What Are Pandas?

Deep Learning 40

Deep Learning Python Programming Language Data Science 40

U-Next

AUGUST 25, 2022

Introduction. An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. A distributed systems architecture allows you to intelligently place data wherever you want it.

MongoDB 40

MongoDB Architecture NoSQL MySQL 40