Software and internet companies are in a race to extract meaningful information from big data. MATLAB® products can enable computer scientists and data analysts to quickly convert the information found in big data into valuable insights. MATLAB can be used to:
Explore data to look for gaps and patterns
Develop algorithms for predictive models
Accelerate analysis using high performance computing
Integrate and deploy applications into enterprise solutions
Mathematical models are critical to understanding and accurately predicting the behavior of complex systems. These models enable critical tasks, such as:
Forecasting and optimizing system behavior
Designing control systems
Characterizing system response
MathWorks products provide all the tools you need to develop mathematical models. MATLAB® supports both numeric and symbolic modeling approaches and provides curve fitting, statistics, optimization, ODE and PDE solving, calculus, and other core mathematical tools. Simulink® adds an environment for modeling and simulating the behavior of multidomain systems and for developing embedded systems.
使用 MATLAB 实现机器学习
利用工程、生产和金融数据发现规律并构建预测模型
使用 MATLAB®，工程师和其他领域*部署了成千上万的应用程序，用于预测性维护、传感器分析、金融和通信电子。MATLAB 通过以下功能让机器学习的困难部分变得简单易行
点击式应用，可用于训练和比较模型
高级信号处理和特征提取技术
自动**参数调优和特征选择，可优化模型性能
能使用相同的代码规模处理大数据和集群
为嵌入式和高性能应用程序自动生成 C/C++ 代码
各种常用的分类、回归和聚类算法，用于监督式和无监督学习
对于大多数统计和机器学习计算，比开源工具执行速度更快
利用 MATLAB® tall 数组的强大功能和简易性，访问、探索和处理大数据及无法存入内存的数据（包括存储在 Spark™ 和 Hadoop® 上的数据）。
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