A detailed walk-through for applied computer vision for absolute beginners with basic knowledge of Python. — Throughout my career as a Data Scientist and AI Researcher, it is the image data domain that has attracted me the most. …

An opportunity for any Data Science and Machine Learning enthusiast to get certain ideas and recommendations leveraging my experience from the field through the Daily Dose of Data Science series! — After multiple requests from various community members and followers, I have started sharing certain tips, suggestions and recommendations since the last 10 days around Data Science and AI considering my experience from the field under the series of Daily Dose of Data Science. The series of articles can be extremely…

Using the Deep Learning variant of Deep Hybrid Learning for forecasting time series data using TensorFlow — In my previous TDS article I described about the Machine Learning variant of Deep Hybrid Learning and how easily it can be applied for image data. If you are someone who is new to the concept of Deep Hybrid Learning, I would highly recommend you to have a look at…

Democratize the use of ML and DL in drug discovery, materials science, quantum chemistry, and biology. — Application of Machine Learning and Deep Learning for Drug Discovery, Genomics, Microsocopy and Quantum Chemistry can create radical impact and holds the potential to significantly accelerate the process of medical research and vaccine development, which is a necessity for any pandemic like Covid19.

Are you someone trying to explore the internet for finding the best online courses that can make you an expert in the field of AI or ML? If yes, then this short article is for you to read! — **Update**: Before we start with the article, I wanted to inform that I am working on a book on applied computer vision in python and looking for contributors who can contribute in writing or reviewing content and code. Mostly I am interested to take in Graduate students and help them…

A fusion approach to combine Machine Learning with Deep Learning — Considering state-of-the-art methods for unstructured data analysis, Deep Learning has been known to play an extremely vital role in coming up sophisticated algorithms and model architectures, to auto-unwrap features from the unstructured data and in providing a more realistic solution to real world problems. …

Trying to unwrap why we mention using convolution in CNN when we actually use is cross-correlation … — CNNs or popularly known as Convolutional Neural Networks (or even CovNets) are one of the key ingredients for an efficient Deep Neural Network used in Deep Learning especially when dealing with unstructured data. But do we really perform convolution operation when using CNNs? I know the Data Science and AI…

In the process on demand planning and supply chain management, selective segmentation is a powerful yet simple tool which is extremely essential for coming up with a robust demand planning strategy. Selective segmentation is even more essential during unprecedented times, like the current Covid19 scenario. …

How amazing it would have been to have a strong AI system that can scan through multiple radiographic images and analyze like an expert! Well, automated analysis of Computed Tomography images using AI solutions to diagnose abnormalities will not only help in overcoming the current process which is costly and…