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10 Datasets by INDIAai for your Next Data Science Project

Analytics Vidhya

Per Statista, The Artificial Intelligence market in India is projected to grow by 28.63% (2024-2030), resulting in a market volume of US$28.36bn in 2030. It is visible that AI is booming, […] The post 10 Datasets by INDIAai for your Next Data Science Project appeared first on Analytics Vidhya.

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BSI: Closing ‘AI confidence gap’ key to unlocking benefits

AI News

37 percent of respondents expect to use AI regularly in medical settings by 2030. Craig Civil, Director of Data Science and AI at BSI, said: “The magnitude of ways AI can shape the UK’s future means we are seeing some degree of hesitation of the unknown.

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Global Artificial Intelligence Market Will See a Massive Growth of 31% Through 2030

ODSC - Open Data Science

According to a report by Benzinga Research, the global AI market will see a massive 31% CAGR through 2030, with North America and China seeing the greatest gains. billion in 2019 but is expected to jump to over $718 billion by 2030. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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Explore Best Data Science Masters Programs of 2024

Pickl AI

Summary: The best Data Science Masters programs in 2024, including those from Jindal Global University, BITS Pilani, IIT Kanpur, and VIT, offer advanced curricula and industry connections. These programs equip you with the skills and knowledge to excel in high-demand Data Science roles and significantly boost your career prospects.

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Five machine learning types to know

IBM Journey to AI blog

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. Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. What is machine learning?

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Must Know Differences Between Data Science and Data Analytics

Pickl AI

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods.

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Data Science Course for Teenagers: What does the future look like?

Pickl AI

Data integration in different spectrums of life highlights its growing significance. It has become a driving force of transformation, and so a career in Data Science is flourishing. The role of Data Science is not just limited to the IT domain. Why Should You Prepare for Data Science in High School?