Making Sense of Data Features
Spend any time at all in the machine learning space, and pretty soon you will encounter the term “feature”. It’s a term that may seem… Read More »Making Sense of Data Features
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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.
Model-centric to Data-centric AI – Am I Missing Something?
Introduction Andrew Ng is a key reference point for me in understanding AI. Andrew Ng is always easy to understand especially for new… Read More »Model-centric to Data-centric AI – Am I Missing Something?
The Machine Learning Process in 7 Steps
In this article, I describe the various steps involved in managing a machine learning process from beginning to end. Depending on which company you work… Read More »The Machine Learning Process in 7 Steps
Protecting Artificial Intelligence models against threats and attacks
I read a paper from ETSI last week which talks of protecting Artificial Intelligence models against threats and attacks. This topic is of interest to… Read More »Protecting Artificial Intelligence models against threats and attacks
Algorithms for decision making: excellent free download book from MIT
https://algorithmsbook.com/ MIT press provides another excellent book in creative commons. Algorithms for decision making: free download book I plan to buy it and I recommend… Read More »Algorithms for decision making: excellent free download book from MIT
ML and Causality – Why?
Machine learning is Competence without Comprehension as famously noted by Dan Dennett, the pre-eminent philosopher of our times. There are two aspects to Machine Learning… Read More »ML and Causality – Why?
Seven Rules for Delivering Machine Learning Projects on Time
Predicting the length of time it will take to get a Machine Learning (ML) project into production can be tricky. If there is an issue,… Read More »Seven Rules for Delivering Machine Learning Projects on Time
Model Versioning: Reduce Friction. Create Stability. Automate.
The research and development (R&D) phase of building an AI model to address a business problem is characterized by rapid exploration and iteration. Everything is… Read More »Model Versioning: Reduce Friction. Create Stability. Automate.
Neural Translation – Machine Translation with Neural Nets with Keras / Python
In this blog, we shall discuss about how to build a neural network to translate from English to German. This problem appeared as the Capstone… Read More »Neural Translation – Machine Translation with Neural Nets with Keras / Python
Your Guide for the Commonly Used Machine Learning Algorithms
We are currently living in such a period where computing has transformed immensely from large mainframes to personal computers to the cloud. The constant technological… Read More »Your Guide for the Commonly Used Machine Learning Algorithms