Showing posts with label Python. Show all posts
Showing posts with label Python. Show all posts
Rajtilak Bhattacharjee
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October 11, 2020
More often than not, you will have a Machine Learning course showing you how to prepare the data, create the model, and evaluate it. You'll have a number in the end, it can be anything from RMSE to loss, accuracy, to tell you how your model performed, and that would be the end of it. But that is not the end of it, because you have another equally important step left, deployment. Now, you may not actually deploy your model to production, but you can definitely test it by creating an UI for others to be able to use it.
Rajtilak Bhattacharjee
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October 10, 2020
So what is Image Stitching?
According to Wikipedia, image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image. Here's what it looks like:
According to Wikipedia, image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image. Here's what it looks like:
Rajtilak Bhattacharjee
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October 10, 2020
The first thing that you will need to begine your Machine Learning journey is a solid programming background. But then, you must be wondering, "What does he mean by programming background? Do I need to learn the inside out of a programming language? Any language? Will FORTRAN do the work, cause I picked it up in high school?" Let me answer them, one at a time.
Rajtilak Bhattacharjee
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October 10, 2020
The Iris dataset is like the "Hello World" of Machine Learning. This dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems. You can find this dataset on Kaggle, and learn more about it from it's Wikipedia page, and on the UCI Machine Learning Repository.
Rajtilak Bhattacharjee
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October 13, 2019
Python is the top programming language of 2019 as per a report released by IEEE Spectrum. It has quickly become a language of choice not only among the Data Scientists, but in other fields too.
The popularity of the language is mainly because it is not that difficult to learn, has plenty of libraries, allowing developers to interface with machine-learning frameworks like Google-developed TensorFlow, and the Microsoft Cognitive Toolkit (CNTK). But looking at the number of courses available online, and offline, one wonders which one would be an ideal course to master Python. Here comes Microsoft to the rescue!
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