AI News

AUGUST 29, 2023

The operationalisation of data projects has been a key factor in helping organisations turn a data deluge into a workable digital transformation strategy, and DataOps carries on from where DevOps started.

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Data Ingestion Big Data Explainability ETL 243

AWS Machine Learning Blog

JANUARY 5, 2024

Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice.

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Data Science Data Drift DevOps Auto-complete 131

The MLOps Blog

SEPTEMBER 7, 2023

From writing code for doing exploratory analysis, experimentation code for modeling, ETLs for creating training datasets, Airflow (or similar) code to generate DAGs, REST APIs, streaming jobs, monitoring jobs, etc. Related post MLOps Is an Extension of DevOps. Explore how these principles can elevate the quality of your ETL work.

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Software Engineer Machine Learning ETL Data Scientist 52

Mlearning.ai

APRIL 24, 2023

One can only train and mange so many algorithms/commands with one computer, thus it is attractive to use a service cloud platform with more computers, storage, and deployment options. You can monitor and make changes to the deployed model using the three areas in the DevOps platform.

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DevOps ETL Python Machine Learning 52

Marktechpost

JULY 5, 2024

These courses cover foundational topics such as machine learning algorithms, deep learning architectures, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics. Udacity offers comprehensive courses on AI designed to equip learners with essential skills in artificial intelligence.

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Data Science Machine Learning Data Analysis Software Engineer 61

Marktechpost

JULY 17, 2023

It relates to employing algorithms to find and examine data patterns to forecast future events. Algorithms and models Predictive analytics uses several methods from fields like machine learning, data mining, statistics, analysis, and modeling. Machine learning and deep learning models are two major categories of predictive algorithms.

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Machine Learning Data Mining Data Scientist Data Science 98

ODSC - Open Data Science

OCTOBER 9, 2024

AI for DevOps and CI/CD: Streamlining the Pipeline Continuous Integration and Continuous Delivery (CI/CD) are essential components of modern software development, and AI is now helping to optimize this process. In the world of DevOps, AI can help monitor infrastructure, analyze logs, and detect performance bottlenecks in real-time.

Software Engineer 40

Software Engineer Software Development DevOps Machine Learning 40