文章目录
Chapter 1: Overview of Sentosa_DSML Community Edition
1.What is DSML?
According to Gartner’s definition, a Data Science and Machine Learning (DSML) platform is an AI development tool software consisting of a core product and a supporting software suite that integrates various products, components, libraries, and frameworks. This platform supports the entire data science workflow, including functions such as data ingestion, data preparation, data exploration, feature engineering, model creation and training, model testing, and deployment. DSML can support personnel from various technical and business backgrounds in conducting data analysis and model development work.
2.What is Sentosa_DSML？
The Sentosa Data Science and Machine Learning Platform (Sentosa_DSML) is a one-stop AI development, deployment, and application platform with full intellectual property rights owned by Liwei Intelligent Connectivity. It simultaneously supports zero-code “drag-and-drop” and notebook interactive development, aiming to assist customers in developing, evaluating, and deploying AI algorithm models through a low-code approach. Combined with a comprehensive data asset management model and ready-to-use streamlined deployment support, it empowers various customer groups such as enterprises, cities, universities, and research institutes to achieve AI inclusiveness and simplify complexity. Sentosa_DSML takes the Sentosa Data Cube platform as its core, integrating other components such as the Sentosa ML machine learning platform and the Sentosa DL deep learning platform, supporting customized combinations and flexible configurations.
3.Positioning of the Sentosa_DSML Community Edition
To provide learning, exchange, and practical application opportunities in machine learning technology for non-commercial purposes to academic researchers, scholars, and developers, a lightweight and completely free Sentosa_DSML Community Edition has been launched. This product includes most of the functions of the machine learning platform within the Sentosa_DSML Data Science and Machine Learning Platform, featuring one-click lightweight installation, free platform usage, video tutorials, and community forum services. It enables users to exchange ideas, share experiences, and solve problems with other data scientists and machine learning enthusiasts.
4.What is Sentosa_DSML Community Edition？
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Sentosa_DSML社区版托拉拽开发
1.The Sentosa_DSML Community Edition is a data intelligence analysis and mining platform that enables the rapid establishment of predictive models using commercial technologies and their application to business activities, thereby improving decision-making processes. Designed with reference to the industry-standard CRISP-DM model, the Sentosa_DSML Community Edition supports the entire data mining process from raw data to enhanced business outcomes.
2.The Sentosa_DSML Community Edition offers various modeling methods leveraging machine learning, artificial intelligence, and statistics. Through the methods in the modeling palette, you can generate new information from data and develop predictive models. Each method has its strengths and is suitable for solving specific types of problems. It provides a comprehensive set of algorithms, integrated into the platform in a pluggable, modular, and stackable manner. It also offers complete architecture support for setting up, orchestrating, running, and deploying operators, allowing users to visually stack operators based on actual business scenarios to quickly build models.
3.The Sentosa_DSML Community Edition has broad applications in AI and big data. Users can connect historical or real-time data to the platform in the form of data views for data source management, metric definition, data tracing, and data monitoring. Within the embedded Sentosa_DSML Community Edition, data is processed in the form of operator flows, including data reading and writing, row processing, column processing, feature engineering, data fusion, machine learning algorithms, and graphical analysis. Trained models can be stored, updated, previewed, and validated.
4.Based on existing big data analytics technologies such as Spark and k8s, the Sentosa_DSML Community Edition visualizes the algorithms required in traditional big data analytics processes as operators. Operators are functional models that can implement independent data processing logic and have a unified interface. In the Sentosa platform, different data input methods, data analysis models, and data output methods are abstracted as different operators, such as data reading operators, K-means operators, decision tree operators, and data export operators.
5.Based on data analysis, the Sentosa_DSML Community Edition is capable of “aggregating points into surfaces,” actively associating related information in different types of analyzed data and mining individual information with associations across different databases.
Sentosa Data Science and Machine Learning Platform (Sentosa_DSML) is a one-stop AI development, deployment, and application platform with full intellectual property rights owned by Liwei Intelligent Connectivity. It supports both no-code “drag-and-drop” and notebook interactive development, aiming to assist customers in developing, evaluating, and deploying AI algorithm models through low-code methods. Combined with a comprehensive data asset management model and ready-to-use deployment support, it empowers enterprises, cities, universities, research institutes, and other client groups to achieve AI inclusivity and simplify complexity.
The Sentosa_DSML product consists of one main platform and three functional platforms: the Data Cube Platform (Sentosa_DC) as the main management platform, and the three functional platforms including the Machine Learning Platform (Sentosa_ML), Deep Learning Platform (Sentosa_DL), and Knowledge Graph Platform (Sentosa_KG). With this product, Liwei Intelligent Connectivity has been selected as one of the “First Batch of National 5A-Grade Artificial Intelligence Enterprises” and has led important topics in the Ministry of Science and Technology’s 2030 AI Project, while serving multiple “Double First-Class” universities and research institutes in China.
To give back to society and promote the realization of AI inclusivity for all, we are committed to lowering the barriers to AI practice and making the benefits of AI accessible to everyone to create a smarter future together. To provide learning, exchange, and practical application opportunities in machine learning technology for teachers, students, scholars, researchers, and developers, we have launched a lightweight and completely free Sentosa_DSML Community Edition software. This software includes most of the functions of the Machine Learning Platform (Sentosa_ML) within the Sentosa Data Science and Machine Learning Platform (Sentosa_DSML). It features one-click lightweight installation, permanent free use, video tutorial services, and community forum exchanges. It also supports “drag-and-drop” development, aiming to help customers solve practical pain points in learning, production, and life through a no-code approach.
This software is an AI-based data analysis tool that possesses capabilities such as mathematical statistics and analysis, data processing and cleaning, machine learning modeling and prediction, as well as visual chart drawing. It empowers various industries in their digital transformation and boasts a wide range of applications, with examples including the following fields:
1.Finance: It facilitates credit scoring, fraud detection, risk assessment, and market trend prediction, enabling financial institutions to make more informed decisions and enhance their risk management capabilities.
2.Healthcare: In the medical field, it aids in disease diagnosis, patient prognosis, and personalized treatment recommendations by analyzing patient data.
3.Retail: By analyzing consumer behavior and purchase history, the tool helps retailers understand customer preferences, optimize inventory management, and personalize marketing strategies.
4.Manufacturing: It enhances production efficiency and quality control by predicting maintenance needs, optimizing production processes, and detecting potential faults in real-time.
5.Transportation: The tool can optimize traffic flow, predict traffic congestion, and improve transportation safety by analyzing transportation data.
6.Telecommunications: In the telecommunications industry, it aids in network optimization, customer behavior analysis, and fraud detection to enhance service quality and user experience.
7.Energy: By analyzing energy consumption patterns, the software helps utilities optimize energy distribution, reduce waste, and improve sustainability.
8.Education: It supports personalized learning by analyzing student performance data, identifying learning gaps, and recommending tailored learning resources.
Agriculture: The tool can monitor crop growth, predict harvest yields, and detect pests and diseases, enabling farmers to make more informed decisions and improve crop productivity.
Government and Public Services: It aids in policy formulation, resource allocation, and crisis management by analyzing public data and predicting social trends.
Welcome to the official website of the Sentosa_DSML Community Edition at https://sentosa.znv.com/. Download and experience it for free. Additionally, we have technical discussion blogs and application case shares on platforms such as Bilibili, CSDN, Zhihu, and cnBlog. Data analysis enthusiasts are welcome to join us for discussions and exchanges.
Sentosa_DSML Community Edition: Reinventing the New Era of Data Analysis. Unlock the deep value of data with a simple touch through visual drag-and-drop features. Elevate data mining and analysis to the realm of art, unleash your thinking potential, and focus on insights for the future.
Official Download Site: https://sentosa.znv.com/
Official Community Forum: http://sentosaml.znv.com/
GitHub:https://github.com/Kennethyen/Sentosa_DSML
Bilibili: https://space.bilibili.com/3546633820179281
CSDN: https://blog.csdn.net/qq_45586013?spm=1000.2115.3001.5343
Zhihu: https://www.zhihu.com/people/kennethfeng-che/posts
CNBlog: https://www.cnblogs.com/KennethYuen