KDnuggets News 20:n36 Sep 23: New Poll: What Python IDE / Editor you used the most in 2020?; Automating Every Aspect of Your Python Project

New Poll: What Python IDE / Editor you used the most in 2020?; Automating Every Aspect of Your Python Project; Autograd: The Best Machine Learning Library You’re Not Using?; Implementing a Deep Learning Library from Scratch in Python; Online Certificates/Courses in AI, Data Science, Machine Learning; Can Neural Networks Show Imagination? Originally from KDnuggets https://ift.tt/33WwRN4Continue reading “KDnuggets News 20:n36 Sep 23: New Poll: What Python IDE / Editor you used the most in 2020?; Automating Every Aspect of Your Python Project”

Mathworks Deep learning workflow: tips tricks and often forgotten steps

Getting started in deep learning – and adopting an organized, sustainable, and reproducible workflow – can be challenging. This blog post will share some tips and tricks to help you develop a systematic, effective, attainable, and scalable deep learning workflow as you experiment with different deep learning models, datasets, and applications. Originally from KDnuggets https://ift.tt/3kFL47XContinue reading “Mathworks Deep learning workflow: tips tricks and often forgotten steps”

New Poll: What Python IDE / Editor you used the most in 2020?

The latest KDnuggets polls asks which Python IDE / Editor you have used the most in 2020. Participate now, and share your experiences with the community. Originally from KDnuggets https://ift.tt/33Rek4Y source https://365datascience.weebly.com/the-best-data-science-blog-2020/new-poll-what-python-ide-editor-you-used-the-most-in-2020

Multi-Armed Bandit with Thompson Sampling

A practical example of how to run Thompson Sampling in R Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/multi-armed-bandit-with-thompson-sampling-2d2db4b6d3ed?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/multi-armed-bandit-with-thompson-sampling

Linear Regression from Scratch: Machine Learning Approach

The “Hello world!” of machine learning from scratch. Photo by John Schnobrich on Unsplash Hi! Ardi here. In my previous post I was writing about the statistical approach to solve linear regression problem, which is basically only using several formulas to create a best-fit straight line to estimate the value of dependent variable y based on givenContinue reading “Linear Regression from Scratch: Machine Learning Approach”

How machine learning is altering the test automation landscape

Learn how machine learning and artificial intelligence are expected to augment established test automation practices. Photo by Kevin Ku on Unsplash As product dealines are shrinking and software is growing only more and more sophisticated, companies are forced to introduce viable innovations into their SDLC to keep in step with market requirements and competitors. Quality assuranceContinue reading “How machine learning is altering the test automation landscape”

Machine Learning from Scratch: Free Online Textbook

If you are looking for a machine learning starter that gets right to the core of the concepts and the implementation, then this new free textbook will help you dive in to ML engineering with ease. By focusing on the basics of the underlying algorithms, you will be quickly up and running with code youContinue reading “Machine Learning from Scratch: Free Online Textbook”

The Potential of Predictive Analytics in Labor Industries

Predictive analytics isn’t just for white-collar work. Check out these five examples that show its potential in blue-collar jobs and industries as well. Originally from KDnuggets https://ift.tt/32QeR7J source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-potential-of-predictive-analytics-in-labor-industries

Statistical and Visual Exploratory Data Analysis with One Line of Code

If EDA is not executed correctly, it can cause us to start modeling with “unclean” data. See how to use Pandas Profiling to perform EDA with a single line of code. Originally from KDnuggets https://ift.tt/2RNOxFg source https://365datascience.weebly.com/the-best-data-science-blog-2020/statistical-and-visual-exploratory-data-analysis-with-one-line-of-code

Sequential vs Functional Model in Keras

Photo by Safar Safarov on Unsplash Hello world, this is Ardi! So in this writing I wanna show you how to construct a Neural Network using both sequential and functional model. As far as I know most of Neural Network tutorials out there are using sequential model, probably because it is more intuitive for simple architectures,Continue reading “Sequential vs Functional Model in Keras”

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