Author(s)

Cheng Long ¹

Affiliation(s)

¹ Microsoft, Bellevue, WA, 98004, USA

Corresponding Author

Cheng Long

ABSTRACT

With the advent of the big data era, data analysis has emerged as the core driving force behind decision - making across various industries. Machine learning, leveraging its robust pattern recognition and prediction capabilities, has furnished novel technological means for data analysis. This paper delves into the practices and applications of machine learning in data analysis, meticulously analyzing the specific roles of algorithms such as linear regression, decision trees, support vector machines, and neural networks in data modeling and prediction. By integrating real - world cases, it dissects the application effects of machine learning in sectors like finance, healthcare, and e - commerce, and proposes solutions to challenges such as data quality, algorithm selection, and model interpretability. The research indicates that machine learning can significantly enhance the efficiency and precision of data analysis. However, its application still necessitates striking a balance between technological optimization and ethical norms to achieve broader social value.

KEYWORDS

Machine Learning; Data Analysis; Algorithmic Applications; Practical Examples

CITE THIS PAPER

Cheng Long, The Practice and Application of Machine Learning in Data Analysis. Journal of Artificial Intelligence Practice (2025) Vol. 8: 79-85. DOI: http://dx.doi.org/10.23977/jaip.2025.080111.

REFERENCES

[1] Sarker I H. Machine learning: Algorithms, real-world applications and research directions[J]. SN computer science, 2021, 2(3): 160.
[2] Wujek B, Hall P, Günes F. Best practices for machine learning applications[J]. SAS Institute Inc, 2016: 3.
[3] Hegde C, Gray K E. Use of machine learning and data analytics to increase drilling efficiency for nearby wells[J]. Journal of Natural Gas Science and Engineering, 2017, 40: 327-335.
[4] Najafabadi M M, Villanustre F, Khoshgoftaar T M, et al. Deep learning applications and challenges in big data analytics[J]. Journal of big data, 2015, 2: 1-21.
[5] Qin S J, Chiang L H. Advances and opportunities in machine learning for process data analytics[J]. Computers & Chemical Engineering, 2019, 126: 465-473.

Sponsors, Associates, and Links

---

• Power Systems Computation
  
  
• Internet of Things (IoT) and Engineering Applications
  
  
• Computing, Performance and Communication Systems
  
  
• Advances in Computer, Signals and Systems
  
  
• Journal of Network Computing and Applications
  
  
• Journal of Web Systems and Applications
  
  
• Journal of Electrotechnology, Electrical Engineering and Management
  
  
• Journal of Wireless Sensors and Sensor Networks
  
  
• Journal of Image Processing Theory and Applications
  
  
• Mobile Computing and Networking
  
  
• Vehicle Power and Propulsion
  
  
• Frontiers in Computer Vision and Pattern Recognition
  
  
• Knowledge Discovery and Data Mining Letters
  
  
• Big Data Analysis and Cloud Computing
  
  
• Electrical Insulation and Dielectrics
  
  
• Crypto and Information Security
  
  
• Journal of Neural Information Processing
  
  
• Collaborative and Social Computing
  
  
• International Journal of Network and Communication Technology
  
  
• File and Storage Technologies
  
  
• Frontiers in Genetic and Evolutionary Computation
  
  
• Optical Network Design and Modeling
  
  
• Journal of Virtual Reality and Artificial Intelligence
  
  
• Natural Language Processing and Speech Recognition
  
  
• Journal of High-Voltage
  
  
• Programming Languages and Operating Systems
  
  
• Visual Communications and Image Processing
  
  
• Journal of Systems Analysis and Integration
  
  
• Knowledge Representation and Automated Reasoning
  
  
• Review of Information Display Techniques
  
  
• Data and Knowledge Engineering
  
  
• Journal of Database Systems
  
  
• Journal of Cluster and Grid Computing
  
  
• Cloud and Service-Oriented Computing
  
  
• Journal of Networking, Architecture and Storage
  
  
• Journal of Software Engineering and Metrics
  
  
• Visualization Techniques
  
  
• Journal of Parallel and Distributed Processing
  
  
• Journal of Modeling, Analysis and Simulation
  
  
• Journal of Privacy, Trust and Security
  
  
• Journal of Cognitive Informatics and Cognitive Computing
  
  
• Lecture Notes on Wireless Networks and Communications
  
  
• International Journal of Computer and Communications Security
  
  
• Journal of Multimedia Techniques
  
  
• Automation and Machine Learning
  
  
• Computational Linguistics Letters
  
  
• Journal of Computer Architecture and Design
  
  
• Journal of Ubiquitous and Future Networks