A Plethora of Machine Learning Articles: Part 1
Source: see here In Part 1 of this short series, I have included the most interesting articles that I wrote in the last few years.… Read More »A Plethora of Machine Learning Articles: Part 1
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Machine Learning
Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
AI Chatbots: What to Expect When You Use Them
Artificial Intelligence (AI) chatbots are now integral to communication strategies in most organizations. They’ve become a human alternative for common query resolutions. But why? They… Read More »AI Chatbots: What to Expect When You Use Them
New Hybrid PCA-Based Facial Age Estimation Using Inter-Age Group Variation-Based Hierarchical Classifier
This article was written by Tapan Kumar Sahoo & Haider Banka. Abstract In this paper, we propose hybrid principal component analysis (HPCA) to extract appearance feature… Read More »New Hybrid PCA-Based Facial Age Estimation Using Inter-Age Group Variation-Based Hierarchical Classifier
How to use MLOps for an effective AI strategy
The Machine Learning Lifecycle (Adapted from Microsoft’s – Data Science Lifecycle) 87% of machine learning projects fail to make it into production. Deploying ML models in business… Read More »How to use MLOps for an effective AI strategy
Machine Learning / Stats / BI: Mini Translation Dictionary
Here I provide translations for various important terms, to help professionals from related backgrounds better understand each other. In particular, machine learning professionals versus statisticians.… Read More »Machine Learning / Stats / BI: Mini Translation Dictionary
Advantages and Disadvantages of Automated Machine Learning
The title of this blog is accurate There are indeed some caveats / disadvantages to automated machine learning. This blog was motivated by a question… Read More »Advantages and Disadvantages of Automated Machine Learning
Can Gerrymandering Be Ended via Machine Learning?
Gerrymandering has long been a problem in the process of choosing elected officials globally, but it is especially a problem in the United States, where… Read More »Can Gerrymandering Be Ended via Machine Learning?
Keras Hyperparameter Tuning Has Never Been That Easy: When AI Facilitates Building Another AI
Hyperparameter tuning is considered time-consuming and computationally expensive as it requires testing numerous combinations before attaining the optimum values. Using the available tuning libraries do… Read More »Keras Hyperparameter Tuning Has Never Been That Easy: When AI Facilitates Building Another AI
Essential Machine Learning Algorithms That Data Analysts Need To Know
AI is taking over. In 2021, we’re going to see machine learning taking on a bigger role in data analysis as algorithms become capable of… Read More »Essential Machine Learning Algorithms That Data Analysts Need To Know
The Different Ways in Which Machine Learning Makes Healthcare Better
The continued evolution of technology has empowered humanity quite unlike anything else, offering tools and technologies to assist us in our daily endeavors. Take machine… Read More »The Different Ways in Which Machine Learning Makes Healthcare Better