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Will Large Language Models End Programming?

Unite.AI

Its advanced data analysis capabilities, customization options, and removal of usage caps make it a superior choice to its predecessors. Similar to how early computer scientists transitioned from a focus on electrical engineering to more abstract concepts, future programmers may view detailed coding as obsolete.

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How to Ensure AI Models Reflect the Richness of Human Diversity

Towards AI

Insights from bridging data science and cultural understandingDall-E image:impressionist painting interpretation of a herring boat on the open ocean At my core I am a numbers guy, a computer scientist by trade, fascinated by data and what information can be gleaned from it.

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

IBM Journey to AI blog

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis. This led to the theory and development of AI.

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10 Best Data Science Movies you need to Watch!

Pickl AI

The movie explores themes of data analysis, machine learning, and human-computer interaction. It examines the role of data analysis and machine learning in creating AI systems that can mimic human behavior and manipulate their surroundings.

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MLOps and the evolution of data science

IBM Journey to AI blog

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.

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Nobel Prize in Physics 2024: Understanding The Reasearch

Viso.ai

John Hopfield is a physicist with contributions to machine learning and AI, Geoffrey Hinton, often considered the godfather of AI, is the computer scientist whom we can thank for the current advancements in AI. Both John Hopfield and Geoffrey Hinton conducted foundational research on artificial neural networks (ANNs).

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The Sequence Chat: Arjun Sethi on Venture Investing in Generative AI

TheSequence

My role now involves actively applying AI and data analytics to unearth hidden potentials and risks in early-stage investments. It's a rewarding convergence of technology and finance, where each investment decision is backed by robust data analysis and benchmarked against millions of data points.s.