| Issue Date | Title | Author(s) |
| 2024 | Artificial Intelligence and Machine Learning | Chopra, Deepti; Khurana, Roopal |
| 2021 | Building Machine Learning Systems using Python | Chopra, Deepti |
| 2023 | Computational Formalism: Art History and Machine Learning | Wasielewski, Amanda |
| 2020 | Data Mining and Machine Learning | Zaki, Mohammed J.; Meira, Wagner |
| 2016 | Deep Learning | Goodfellow, Ian; Bengia, Yashua; Couurville, Aaron |
| 2024-02 | Early-Stage Leukemia Detection Using Sophisticated Machine Learning Algorithms | Whig, Pawan |
| 2024-05 | "Enhancing Agricultural Decision Support with AIoT: A Research Travelogue" | Thakar, Pooja; Goel, Neetu |
| 2024 | Leveraging Stacking Framework for Fake Review Detection in the Hospitality Sector | Ashraf, Syed Abdullah |
| 2024 | Machine Learning : Master supervised and unsupervised learning algorithms with real example | Doshi, Ruchi |
| 2024 | Machine Learning Cookbook Python : Create ML and Data Analytics projects using some amazing open datasets | Guha, Rehan |
| 2024 | Machine Learning for Beginners | Hashmi, Adeel |
| 2024 | Machine Learning for Beginners | Hashmi, Adeel |
| 2023 | Machine Learning Integrated Multivariate Water Quality Control Framework for Prawn Harvesting from Fresh Water Ponds | Malhotra, Dheeraj |
| 2017 | MQTT Essentials | Hillar, Gaston C |
| 2022 | Predictive Analytics: A study of its Advantages and Applications | Goel, Neha |
| 2023 | Python Machine Learning : Learn how to build Machine Learning Projects from scratch | Vora, Deepali R |
| 2023 | The Shallow and the Deep: A biased introduction to neural networks and old school machine learning | Biehl, Michael |
| 2021 | Transcriptomics Analysis of Breast Cancer Tissues : An In-Silico Approach Using Machine Learning Feature Selection Algorithms | Kumar, Vinay |
