Computer Scientist, Explainable AI and Natural Language Processing

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Computer Scientist

Explainable AI

Natural Language Processing

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

This led to the theory and development of AI. IBM computer scientist Arthur Samuel coined the phrase “machine learning” in 1952. In 1962, a checkers master played against the machine learning program on an IBM 7094 computer, and the computer won. He wrote a checkers-playing program that same year.

Data Science

Data Science Machine Learning Big Data Data Mining

MLOps and the evolution of data science

IBM Journey to AI blog

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data.

Data Science

Data Science DevOps Machine Learning Data Scientist

AI in Finance – Top Computer Vision Tools and Use Cases

Viso.ai

MARCH 26, 2024

Privacy-preserving Computer Vision with TensorFlow Lite Other significant contributions include works by Andrew Ng. This computer scientist and technology entrepreneur has extensively researched AI and machine learning’s impact on finance.

Computer Vision

Computer Vision Neural Network Machine Learning Convolutional Neural Networks

Webinars

How to Achieve High-Accuracy Results When Using LLMs

Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact

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Artificial Intelligence Zone

Data science vs. machine learning: What’s the difference?

MLOps and the evolution of data science

AI in Finance – Top Computer Vision Tools and Use Cases

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