Data Science

Data Science is an interdisciplinary field focused on extracting knowledge and insights from Data through scientific methods, processes, algorithms, and systems. It blends elements of statistics, computer science, and domain expertise to understand phenomena, predict outcomes, and reveal patterns, often employing Machine Learning techniques.

See also

Linked from: 3e5, 6e6, Aggregate, Ai, Ai Model, Ai System, Ai Systems, Ai Technology, Analytics, Annotation, Anomaly Detection, Apex Ai, Artificial Intelligence, Automated Machine Learning, Bayesian Inference, Bioinformatics, Biostatistics, Business Intelligence, Classify, Climate Model, Cognitive Computing, Complex Network, Computational Biology, Computational Finance, Computational Gastronomy, Computational Model, Computational Science, Computer Model, Convex Optimization, Data Bias, Data Mining, Dataset, Deep Learning, Discretization, Feature Engineering, Information Visualization, Knowledge Management, Language Data, Machine Learning, Marketing Analytics, Mathematical Modeling, Matrix Decomposition, Medical Informatics, Network Analysis, Network Science, Neural Networks, Numerical Computation, Optimization, Prediction, Probabilistic Model, Probability Theory, Python, Quantitative Economics, Quantitative Finance, Ranking Algorithm, Recommendation Systems, Regression Analysis, Regression Model, Scientific Visualization, Security Analytics, Simos Project, Spatial Analysis, Statistical Analysis, Statistical Learning, Statistics, Text Analysis, Tpot, Tpot 21, Trend Analysis, Tynerlabs, Visual Analytics, Websim Competitions
0
14 views
1 week ago