Author Archives: 365Data Science

Continuing with the second of this three-part series covering a step-by-step review of statistical survival analysis, we look at a detailed example implementing the Kaplan-Meier fitter theory as well as the Nelson-Aalen fitter theory, both with examples and shared code. Originally from KDnuggets https://ift.tt/38XJUjm source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-complete-guide-to-survival-analysis-in-python-part-2

Follow these 5 simple steps to auto rotate images and get the right angle in human photos using computer vision. Originally from KDnuggets https://ift.tt/3fsFYK7 source https://365datascience.weebly.com/the-best-data-science-blog-2020/auto-rotate-images-using-deep-learning

“I set myself the challenge of using the optimized inference engine, along with a few other advanced features, of a decision rules management solution to solve Sudoku puzzles.” Read the full post on how it was accomplished. Originally from KDnuggets https://ift.tt/3fruaI6 source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-i-solved-sudoku-with-a-business-rules-engine

Top Stories post excerpt: Also: A Complete Guide To Survival Analysis In Python, part 1; PyTorch for Deep Learning: The Free eBook; Exploratory Data Analysis on Steroids Originally from KDnuggets https://ift.tt/2OkUpnt source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-jul-6-12-a-laymans-guide-to-data-science-workflow-free-mit-courses-on-calculus-the-key-to-understanding-deep-learning

As has become tradition on KDnuggets, let’s start a new week with a new eBook. This time we check out a survey style text with a variety of topics, Foundations of Data Science. Originally from KDnuggets https://ift.tt/2OkJiLh source https://365datascience.weebly.com/the-best-data-science-blog-2020/foundations-of-data-science-the-free-ebook

Image by author It’s a known fact that machine learning models need data to be trained. Without training data, even complex algorithms are essentially useless. So what do you do when you don’t have the necessary amount of data? Over the years, researchers have developed a variety of ingenious solutions. Data Augmentation is one of these solutions.Continue reading “How to Use Data Augmentation to 10x Your Image Datasets”

Source Sudoku Solver AI with OpenCV We will be creating a Sudoku Solver AI using python and Open CV to read a Sudoku puzzle from an image and solving it. There a lot of methods to achieve this goal. Thus in this series, I have compiled the best methods I could find/research along with some hacks/tricksContinue reading “Part 1: Image Processing”

Source Getting a good job in the field of Machine Learning is getting very competitive. The best way to showcase your Machine Learning skills is in the form of Portfolio of Data Science and Machine Learning Projects. A good Portfolio of Projects will show that you can apply those Machine Learning skills in your work. HereContinue reading “10 Machine Learning Projects to boost your Portfolio”

Understanding data is key to being a Data Scientist. But, how can you know if you might be a good fit for the field when you haven’t worked with much data? These telltale signs will suggest you are competent to work with data, and that you might have a talent for being data literate. OriginallyContinue reading “7 Signs you are data literate”

Key element of LSTM is the ability to work with sequences and its gating mechanism. Originally from KDnuggets https://ift.tt/3eqgPOG source https://365datascience.weebly.com/the-best-data-science-blog-2020/pytorch-lstm-text-generation-tutorial