Learner, Practitioner & Teacher
Objective (Smart Hospitals) Smart Hospitals are defined as those institutions that seek to automate and optimize processes using new technologies such as Big Data, IoT, Analytics and Machine Learning, with the aim not only of providing better medical care to
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My Podcast on Data science & Machine Learning Learn Data Convergence Micro Podcast: Digital Transformation, Industry 4.0, IIoT & Emerging Tech CLICK HERE TO LISTEN
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PyCaret ( (https://pycaret.org/) is an open-source machine learning library that automates the entire process of training a machine learning model. When using it, you just need to have an idea of the best features you need to train your machine learning
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Due to the evolution of digital technology, data and algorithms, the healthcare sector transformed a lot and most of the hospitals are using the latest digital technologies such as Telehealth and EHR systems (Digital Electronic healthcare records). Electronic health record
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With the Motivation from Late M2 ( MRUTYUNJAY MISHRA) that by teaching we can learn more and every data person should Teach with this I started teaching/interacting with Academics from 2016 onwards through Key notes/ Guest lecturers/Faculty Developments and
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Like all other industries, Healthcare industry is also disrupting with the digital revolution as well as with the speed of the processing, computing, network connectivity and algorithmic ability to handle the image and text data to provide the insights. With
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As data science is more than Art it is science and more than science it is Art, due to this it requires some of the qualities beyond academic and programing skills which is Be Generalist and then Specialist Firstly who
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Presently we are in the era of automated machine learning (Auto ML), which helps automating most of the machine learning pipeline components such as data understanding, data engineering, feature engineering, model training, hyperparameter tuning, model monitoring, etc. and also there
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As data science is everywhere due to the evolution of tools, computation power, speed, connectivity, storage systems and algorithms there is no way of getting out of working with it. Due to the pandemic the digitalization accelerated furthermore and changed
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