Nov 19Document Skewness Detection and CorrectionIn computer vision, while working with the document data the performance of the machine learning systems is always impacted by the skewness of the documents. If the document skewness is not properly corrected before feeding the document to the model then we couldn’t expect accurate prediction from the model. For…Skewness5 min readSkewness5 min read
Sep 24Introduction to MLOps for Beginner — Machine Learning Life cycle & tools for MLOpsIn machine learning, we often train, test and deploy the model iteratively until and unless the performance of the model meets the business requirements. Frequently, we need to go back and make some changes in design and development and re-deploy model for production. It is very challenging to track all…Mlops5 min readMlops5 min read
Sep 9Extracting and Highlighting key-value pairs in pdf Documents using PythonInformation extraction is crucial process of extracting structured information from unstructured/semi-structured textual documents. Due to massive increment in the internet usage, the the size of data has been increased exponentially, almost 90% of data was created in last two years. In every two years, the volume of data across the…Python6 min readPython6 min read
Jun 12Netron: A Visualizer for Machine Learning and Deep Learning ModelsWhile working in Machine Learning, we sometimes perform tests on pre-trained models trained by someone else. Occasionally, we only need to find the model's architecture for research purposes. But, to visualize model architecture we need to set up the framework the model is trained on. It becomes tedious to create…Netron3 min readNetron3 min read
Jun 3US HealthCare Terminologies Explained — Part 3This is the third part of US Healthcare Basics. If you haven’t studied parts 1 and 2, it will be hard to understand part 3, so please read parts 1 and 2 before starting part 3. …Healthcare6 min readHealthcare6 min read
May 28How to install CUDA and cuDNN in Linux?As AI developers we often use a platform like Google Colab to test our prototype where CUDA and cuDNN are already configured. To run development processes such as training large datasets and running GPU-intensive services we must need the Device/Server to have CUDA and cuDNN configured. A few months ago…Cuda6 min readCuda6 min read
May 25How to remove CUDA completely from Linux?If you want to reinstall CUDA or replace CUDA with another version then you are in the right place. In this blog, I will describe how to remove CUDA completely from your OS along with Nvidia drivers. CUDA refers to Compute Unified Device Architecture. It is a parallel computing platform…Cuda3 min readCuda3 min read
Apr 1US HealthCare Terminologies Explained — Part 2This is the second part of US Healthcare Basics. If you haven’t studied part 1, it will be hard to understand part 2, so please read part 1 before starting part 2. In this part, I will discuss the more advanced terminologies associated with Healthcare systems. You may know that…Healthcare Terminology7 min readHealthcare Terminology7 min read
Mar 19US HealthCare Terminologies Explained — Part 1While working in information technology, I recently faced the US Healthcare Data for a Machine Learning project. I have an Engineering background so it becomes hard for me to get to know about the healthcare ecosystem of the US. …Healthcare6 min readHealthcare6 min read
Jan 18How to Install Libraries permanently in Google Colab?Most coders or developers use Google Colab for executing their prototypes very fast as it provides you access to faster GPUs like the T4 and P100. But sometimes your program requires a specific version of the libraries which are not installed in google colab to be installed. It becomes tedious…Python3 min readPython3 min read