In this special guest feature, Marc Meyer, CCO at Transmetrics, discusses AI and just-in-time shipping: how tech models offer a competitive advantage for logistic businesses. Emerging AI innovations are a driving factor in defining the usability of data and will be pivotal to the supply chain and all adjacent processes—from …
The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. The upsurge of data (with the introduction of non-traditional data sources like streaming data, …
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from …
We are excited to announce the availability of Apache Spark™ 3.2 on Databricks as part of Databricks Runtime 10.0. We want to thank the Apache Spark community for their valuable contributions to the Spark 3.2 release. The number of monthly maven downloads of Spark has rapidly increased to 20 million. …
Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
This post is the third in a series on Bayesian inference ([1], [2] ). Here we will illustrate how to use managed MLflow on Databricks to perform and track Bayesian experiments using the Python package PyMC3. This results in systematic and reproducible experimentation ML pipelines that can be shared across …
Presented by Vijay Pappu, Senior ML Engineering Manager, Personalization Lead at Peloton, this talk focuses on any ML systems that rely on a feedback loop for improvement. How do we measure the efficacy of an ML system?
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the …
Read this post if you want to learn how to conduct polynomial regression analysis in machine learning.
Oct. 14, 2021, 11:23 a.m.
FinTech is about connecting with customers. They expect something different from classically understood banking. The more you know about your audience, the more you can offer them. It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. What can you learn from …
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled …
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the …
Thousands of Databricks customers have adopted Databricks Repos since its public preview and have standardized on it for their development and production workflows. Today, we are happy to announce that Databricks Repos is now generally available. Databricks Repos was created to solve a persistent problem for data teams: most tools …
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from …
Steps to implement a machine learning algorithm with easiest explanation. Learn this and things will be smoother.
Steps to implement a machine learning algorithm with easiest explanation. Learn this and things will be smoother.
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features …
What are the Most Important Insights from this Project? Machine Learning is a powerful predictive tool, but one that requires a significant amount of pre-processing work, mindful model selection, and resource-intensive hyperparameter tuning. As such, it is important to have significant and targeted questions in mind prior to starting this …
