Data science
Has Deep Learning Made Traditional Machine Learning Obsolete?
The artificial intelligence (AI) field has made its mark on virtually every industry, from manufacturing and logistics to robotics and health care.
AIOps with Azure Metrics Advisor
AIOps is a term introduced by Gartner in 2016, referring to AI for IT Operations.
Building Secure ML Starts with Understanding the Landscape: Oracle's Perspective
With so many businesses implementing machine learning (ML) into their tech stack, it's no wonder we're seeing increases in the volume and variety of cybersecurity threats.
Announcing the ODSC APAC 2022 Call for Speakers
We're excited to announce our official Call for Speakers for ODSC APAC 2022! If you are looking to share your research or expertise in data science and AI, this is for you.
Evaluate the Performance Of Deep Learning Models in Keras - Machine Learning Mastery
Last Updated on June 29, 2022
Keras is an easy to use and powerful Python library for deep learning.
There are a lot of decisions to make when designing and configuring your deep learning models.
Data Science Tools: Smart Assistants for Data Analytics - DATAVERSITY
In a globally competitive world, businesses that haven't invested in Data Science tools can have difficulty making timely decisions or applying actionable insights.
How data science can increase ecommerce business profitability
Ecommerce retailers have one massive advantage over brick-and-mortar business owners: easy access to critical data.
The key to quantum computing AI applications: Flexible programming languages
The advance of quantum computing has the promise of reshaping artificial intelligence (AI) as it's known and deployed today.
ODSC East 2022 Keynote: Ken Jee on Bridging the Gap Between Data Scientists and Decision Makers
That feeling of disconnect between you, your data team, and your leaders can be frustrating.
AI's Role in Aiding EV Adoption
Artificial intelligence (AI) is rapidly evolving and becoming ubiquitous across virtually every industry.
Embedding Interactive Python Plots, Improving Your Model Performance with Auto-Encoders, and Jobs
Including mathematical and computer science knowledge, these are the four core machine learning skills you need to get started in the AI field.