DZone
JANUARY 10, 2024
Using updated and relevant security knowledge, your software developers can be the first line of defense. Discover how to create an effective and engaging training program for your developers. Create a security training program with clearly defined goals to influence your developers to prioritize learning.
Dynatrace
MAY 17, 2023
GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Dynatrace
SEPTEMBER 3, 2020
Such a solution needs to collect a substantial amount of data at first for then having a dataset (training data) that an algorithm can use to learn from. It works without identifying training data, then training and honing. eBook: AIOps Done Right: Automating the Next Generation of Enterprise Software. Further reading.
Tasktop
FEBRUARY 20, 2020
Meet Jason Grodan, a Software Training Specialist at Tasktop! We spoke to Jason about the different training classes Tasktop offers, bouldering, and what it’s like to work from home. My role at Tasktop is a ‘Software Training Specialist’. We provide training for Customers and Partners as well as new employees.
Percona
SEPTEMBER 22, 2023
Percona is dedicated to open source software. But recently, open source software has come under attack. Once open source software is being locked away by changing licenses and code that you depended on. You either get to pay for the privilege of having less freedom or find yourself sequestered with rapidly aging software.
The Netflix TechBlog
MARCH 7, 2024
In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. There are several ways to provide explainability to models but one way is to train an explainer model based on each trained model.
DZone
AUGUST 9, 2023
Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up. As a platform, Docker automates software application deployment, scaling, and operation within lightweight, portable containers.
Expert insights. Personalized for you.
274 
Let's personalize your content