Computer Vision Reseacher| Robotics | Pseudo Data Scientist|
It is not knowledge, but the act of learning, not possession but the act of getting there, which grants the greatest enjoyment. - Carl Friedrich Gauss
All models are wrong, but some are useful. - George E. P. Box
Whenever it comes to Statistical Data Analysis or Exploratory Data Analysis, we have to go through the distribution of the data. So while working on the very big datasets mostly we apply our analysis on a sample, not the whole population which may lead to certain variation between the sample analysis and population analysis. This approximation introduce us with the Sampling Distribution.
The basic intuition of all three of the machine learning algorithms and finding some common relationship between them.
When any technology comes in the market, it came with various promises such that it will change the livelihood of humans, it will be revolutionary. But What does the Revolution exactly means. Is it something to do with changes for making it more helpful to solve some social issues. But is it happening?
Statistical Computing includes practical approach of statistical concepts, Multivariate and Inferenctial Statistics, Computational Intelligence, Web Mining, Time-Series Analysis, Probabitlity and Stochastic processes, Information theory, Wireless Sensor networks, Natural Language processing
Integrated M.Sc Computer Science is a 5 year complete postgraduate degree. In this course I am specialised with Artificial Intelligence and studied subjects including basic computer science and other specialised subjects like Machine learning,Neural Networks, Deep learning, Data Mining with their practicals.
Participated and secured top 150 rank in Microsft AI challenge 2018 #Deeplearning
Successfully completion the 15 CEU/CPE and 10.5 hour training course provided by Cybrary.it.
Successfully completion the 5.65 CEU/CPE and 5.65 hour training course provided by Cybrary.it
This course was organized by M.H.R.D at Central University of Rajasthan on "Machine Learning". The course speaker was Professor Rao Vemuri (UCdevis). This course covers all the Machine learning topics with a proper hands on practical through python.
Dr. Ayesha Choudhary is a Assistant Professor in School of Computer and System Sciences at Jawahralal Nehru University, New Delhi. Her area of interest includes Computer Vision, ADAS, machine learning and Optimization.
Dr.Muzzammil Hussain is a Assitant Professor in Computer Science and Engineering department at Central University of Rajasthan. His area of interest includs Network Security, Wireless Sensor Networks, Mobile Ad Hoc Networks, Cognitive Radio Network.
Dr. Nishtha Kesswani is a Assistant Professor r in Department of Computer Science at Central University of Rajasthan. Her area of interest includes Wireless Networks.
I am Co-founder and Editor of the Medium Publication named theCyPhy. Its an effort by like minded friends to document our Journeys in understanding data and in due course share the knowledge. Follow this space for interesting trends, summaries, stories and openions realted to data and Computer Science.