(1) Artificial Intelligence (AI):
Computer based intelligence includes the advancement of machines, PCs or frameworks that can perform undertakings that typically require human insight. These functions include problem solving, learning, reasoning, comprehension, language comprehension, and decision making.
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| Transformative Power of Artificial Intelligence in Modern Times |
(2) Data Science:
Data science is an interdisciplinary field that uses scientific methods, algorithms, processes, and systems to derive knowledge and insights from structured and unstructured data. Data scientists collect, clean, and analyze large datasets to find patterns, trends, and correlations. They then use this information to make informed decisions and predictions.
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| Navigating the field of data science: turning raw data into actionable insights |
Key steps in the data science process include data collection, data cleaning and preprocessing, exploratory data analysis, feature engineering, modeling, evaluation, and interpretation of results.
Relationship of AI and Data Science
Artificial intelligence and information science are strongly related and often cooperate. AI systems require vast amounts of data to effectively train their algorithms, and data science is essential to curate and curate this data. Data scientists play a key role in selecting appropriate features, tuning hyperparameters, and evaluating the performance of AI models.
Additionally, AI techniques, such as machine learning and deep learning, are commonly used in data science to build predictive models, classification systems, and clustering algorithms. These AI-powered models help data scientists gain valuable insights and make more accurate predictions from data.
Overall, the combination of artificial intelligence and data science has led to significant advances in fields as diverse as healthcare, finance, marketing, and autonomous systems, and continues to shape the future of technology and society.
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