Dataconomy

AUGUST 31, 2023

Machine learning models have already started to take up a lot of space in our lives, even if we are not consciously aware of it. Embracing AI systems and technology day by day, humanity is experiencing perhaps the fastest development in recent years. You want an example: ChatGPT, Alexa, autonomous vehicles and many more on the way.

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IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. What is machine learning? ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions.

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IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data.

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Pickl AI

APRIL 13, 2025

Classification is a subset of supervised learning, where labelled data guides the algorithm to make predictions. Anomaly Detection : Classification can identify unusual patterns or outliers in data, which is essential for detecting fraudulent activities in banking or identifying manufacturing defects.

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Pickl AI

DECEMBER 4, 2024

Perceptrons are foundational in Machine Learning, paving the way for more complex models. Introduction Artificial Intelligence (AI) has revolutionised numerous fields, and at the core of many AI applications lies a fundamental concept: the Perceptron. Key Takeaways A Perceptron mimics biological neurons for data classification.

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Mlearning.ai

NOVEMBER 29, 2023

Thus, complex multivariate data sequences can be accurately modeled, and the a need to establish pre-specified time windows (which solves many tasks that feed-forward networks cannot solve). The downside of overly time-consuming supervised learning, however, remains. But the results should be worth it.

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AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. Lets look at how generative AI can help solve this problem. Refer to Configure security in Amazon SageMaker AI for details.

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