ODSC - Open Data Science

APRIL 9, 2025

Theres also a shift happening: where once we asked How can graphs help AI? the more pressing question now is How can AI improve our graphs? For those considering a career move, Hodler suggests that graph skills are increasingly a must-have for data scientists and ML engineers.

Explainability 52

Explainability Natural Language Processing AI AI 52

IBM Journey to AI blog

AUGUST 11, 2023

The process for monitoring and addressing issues in the models once in production. How to use ML to automate the refining process into a cyclical ML process. Repeat—Teams will go through each step of the ML pipeline again until they’ve achieved the desired outcome.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Pickl AI

JANUARY 29, 2024

ML focuses on enabling computers to learn from data and improve performance over time without explicit programming. AI comprises Natural Language Processing, computer vision, and robotics. ML focuses on algorithms like decision trees, neural networks, and support vector machines for pattern recognition.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

Pickl AI

JULY 14, 2023

Moreover, Deep Learning models, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), achieved remarkable breakthroughs in image classification, natural language processing, and other domains. The average salary of a ML Engineer per annum is $125,087.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

The MLOps Blog

AUGUST 11, 2023

At that point, the Data Scientists or ML Engineers become curious and start looking for such implementations. The concept of Explainable AI revolves around developing models that offer inference results and a form of explanation detailing the process behind the prediction.

ML 52

ML Machine Learning Data Ingestion Deep Learning 52