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Python: An absolute beginner's guide to deep learning

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Teaching yourself deep learning is a long and arduous process. You need a strong background inÂ linear algebra and calculus, good Python programming skills, and a solid grasp of data science, machine learning, and data engineering. Even then, it can take more than a year of study and practice before you reach the point where you can start applyingÂ deep learningÂ to real-world problems and possibly land a job as a deep learning engineer.
Knowing where to start, however, can help a lot in softening the learning curve. If I had to learn deep learning with Python all over again, I would start withÂ ....

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'Mynerva' teaching platform lets professors design the perfect lesson

Feb 3, 2021 | EDSCOOP
A professor and former student at the University of Michigan have developed a new interactive platform that combines conventional learning materials with digital assessments and tools.
The cloud-based platform, called Mynerva, allows instructors to customize lessons based on a system of “codices,” presenting material to students as they’re ready for it. Each codex can be built using various types of questions such as multiple choice quizzes or auto-graded exercises that students must answer before advancing to the next section.
“Our vision is an interactive computational textbook platform designed to stimulate deeper conversation between students and the material they are attempting to master,” Raj Nadakuditi, one of the tool’s creators, and a professor in the university’s electrical and computer engineering department, told the university. “We also want to enable a dynamic experiential conversation with the learner, w ....

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Ask HN: Who wants to be hired? (February 2021)

++ MACHINE LEARNING INTERN, DATA SCIENCE INTERN, SOFTWARE DEVELOPER ++
My interests include computer vision, machine learning and data science. I am doing a double major in Mathematics & Computer Science with expected graduation in Spring 2022. I have shown excellent performance in university courses and have been a student assistant for both Math and Computer Science department. From May 2020 to December 2020, I have been a part of Computer Vision team in Ablera, where I was researching and developing convolutional neural networks for car damage detection. I am looking for a place where I will be able to use my skills in mathematical modelling and an environment where I will be able to grow and learn new things. ....

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Plotnine: Grammar of Graphics for Python • Blog • Data Science Workshops

“The simple graph has brought more information to the data analyst’s mind
than any other device.” John Tukey
This tutorial will teach you how to visualise your data using plotnine. Python has many packages for making graphs, but plotnine is one of the most elegant and most versatile. plotnine implements the
grammar of graphics, a coherent system for describing and building graphs. With plotnine, you can do more faster by learning one system and applying it in many places.
If you’d like to learn more about the theoretical underpinnings of plotnine before you start, I’d recommend reading The Layered Grammar of Graphics. ....

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Setup Anaconda, Jupyter, and Rust

This will create a conda environment named
darn with the latest Python 3 package ready to go. You should be presented with a list of packages that will be installed and asked if you wish to proceed. To do so, just enter the character
y. If this operation is successful, you should see the following output at the end:
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate darn
#
# To deactivate an active environment, use
#
# $ conda deactivate
As the message suggests, you will need to type the following command to activate and start entering commands within our environment named ....

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