Big Data Blog Business Analytics Machine Learning 
Apiumhub
MARCH 18, 2021
More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?
Apiumhub
APRIL 6, 2021
There are a lot of excellent blogs on data science, and it can be a little overwhelming to know where to start. This article will list some of the most useful blogs for everyone – from data science experts to complete newbies. Top Data Science Blogs to follow.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CTOvision
JUNE 10, 2014
It examines one of the hottest of Machine Learning techniques, Deep Learning, and provides a list of free resources for leanring and using Deep Learning-bg. Deep Learning is a very hot area of Machine Learning Research, with many remarkable recent successes, such as 97.5% Deep Learning Google+ page.
Cloudera
MAY 27, 2021
This blog post was written by Pedro Pereira as a guest author for Cloudera. . Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. It’s not the machine’s fault. If y ou have good intentions, you can make it very good.
Gorilla Logic
MAY 19, 2021
Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .
Cloudera
JANUARY 13, 2021
Utilising this centralised platform enhances UOB’s ability to roll out artificial intelligence and machine learning capabilities to more parts of the business quickly and consistently. . Today, the EDAG platform is loaded with more than 30,000 files a day from across the bank’s various data systems.
Cloudera
JANUARY 5, 2021
To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .
Expert insights. Personalized for you.
52 
Let's personalize your content