Artificial Intelligence and Machine Learning is all the rage these days with almost every company touting its own expertise in AI driven solutions. From self-driving cars to chatbots, everyone is talking about AI. So, how do you separate the hype from the ground reality and make machine learning work for your business?
My introduction to AI and machine learning/deep learning with neural networks came almost thirty years ago when I dove in-depth into the implementation of feed forward and back propagation algorithms to train neural networks to perform simple cognitive functions. At the time, the limitations of hardware and the lack of necessary software libraries limited how efficiently, and accurately models could be trained to deliver much real value to the user.
Fast forward a few years – with the advent of faster and cheaper hardware which also rentable on the cloud, more suitable languages, libraries to handle large datasets in parallel and train models, it is now easier than ever to harness the power of machine learning for your needs. The technology has advanced by leaps and bounds with many specialized areas from basic logistic regression algorithms to Convolutional Neural Networks (CNN) for computer vision, Recurrent Neural Networks (RNN) for time series analysis and Natural Language Processing (NLP), there is now a wealth of options to choose from. However, navigating these options and finding the right model to train for your business functions can be challenging. It involves curating the optimal datasets for training, validating and testing your models. It also involves experimenting with multiple models over multiple iterations to find the one that yields the best results for your needs.
Over the years, I have kept up with the ongoing research and tools in the field of machine learning. I have sifted through many data sets, and trained models ( both CNN and RNN) using the latest libraries like Tensorflow, Keras, Matlab, Pandas, SciKit Learn, OpenCV, PySpark, etc. I have considerable expertise in the python programming language which is used most frequently in building ML models. When time to market is of essence, instead of starting from scratch, I will help you use the principles of “transfer learning” to leverage pre-trained models to use your data to deliver results quickly. Whether your project involves work with images and video or voice/language, or time series analysis, I can help you pick the most optimal algorithm to deliver results quickly.
To succeed with new technologies, having someone with deep technical expertise coupled with professional integrity to help you chose the most optimal models and tools is paramount. I have the proven expertise to ensure that your machine learning projects succeed in meeting your business goals in a timely manner while staying under budget.
Ready to find out how I can help you leverage the power of AI and machine learning to grow your business? Fill out this short form and I will be in touch with next steps