2_5438340422587909576.zip
128.9 MB
Introduction to Deep Learning with OpenCV
46m 56s Beginner
Learn how to use OpenCV, the popular computer vision library, to run pretrained deep learning models.
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46m 56s Beginner
Learn how to use OpenCV, the popular computer vision library, to run pretrained deep learning models.
Get more
@AllMoviesHdHere
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A free platform to learn and practice data science.
Here you can practice on pre-loaded datasets and code is available in both the languages (Python and R).
You have access to 650+ inbuilt functions & algorithms
You have access to data science courses designed by industry experts
Not only these, you can have access to their blogs, webinars and hackthons (coming soon).
It's all free of cost, you just need to register to access these resources.
Link : https://bit.ly/2zchHba
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Here you can practice on pre-loaded datasets and code is available in both the languages (Python and R).
You have access to 650+ inbuilt functions & algorithms
You have access to data science courses designed by industry experts
Not only these, you can have access to their blogs, webinars and hackthons (coming soon).
It's all free of cost, you just need to register to access these resources.
Link : https://bit.ly/2zchHba
Get more
@AllMoviesHdHere
This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.
Link : https://amzn.to/2V7VBhM (hard copy)
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Link : https://amzn.to/2V7VBhM (hard copy)
Get more
@AllMoviesHdHere