Author Archives: 365Data Science

In this article, we are going to see how we can implement computer vision applications using tensorflow.js models. Originally from KDnuggets https://ift.tt/37IbZL9 source https://365datascience.weebly.com/the-best-data-science-blog-2020/6-easy-steps-to-implement-a-computer-vision-application-using-tensorflowjs

PyTorch is a constantly developing deep learning framework with many exciting additions and features. We review its basic elements and show an example of building a simple Deep Neural Network (DNN) step-by-step. Originally from KDnuggets https://ift.tt/37GdKZ4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-most-important-fundamentals-of-pytorch-you-should-know

LightGBM is a histogram-based algorithm which places continuous values into discrete bins, which leads to faster training and more efficient memory usage. In this piece, we’ll explore LightGBM in depth. Originally from KDnuggets https://ift.tt/3hB3dmR source https://365datascience.weebly.com/the-best-data-science-blog-2020/lightgbm-a-highly-efficient-gradient-boosting-decision-tree

Also: What is the Best #Python IDE for #DataScience?; Best Machine Learning Youtube Videos Under 10 Minutes – KDnuggets; Understanding Machine Learning: The Free eBook – KDnuggets; Math and Architectures of #DeepLearning; Introducing #MLOps, How to Scale #MachineLearning in the Enterprise Originally from KDnuggets https://ift.tt/2ANGOSt source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-kdnuggets-tweets-jun-10-16-a-crash-course-in-game-theory-for-machinelearning-classic-and-new-ideas

Foster Provost in memoriam for Tom Fawcett, killed on June 4th in a freak bicycle accident. Tom was a brilliant scholar, a selfless collaborator, a substantial contributor to Data Science for three decades, and a unique individual. Originally from KDnuggets https://ift.tt/2YbWRlS source https://365datascience.weebly.com/the-best-data-science-blog-2020/tom-fawcett-in-memoriam

Source Though some may even opt for the position of a data analyst, it’s still second in the race as the most preferred position for many aspirants is still the post of a data scientist. The data scientist is called the sexiest job of the 21st century. If you are planning to enter the fieldContinue reading “Becoming a Data Scientist Data Analyst Financial Analyst and Research Analyst”

Part-I of this blog series concluded by forming a compressed matrix for each of the features of the object to be identified. In essence, matrix so formed removed the bias stemming from magnification/reduction, rotation, and distortion of the image. Job is just half done, our algorithm still didn’t meet its core objective of classifying theContinue reading “CNN Simplified for Beginners Part -II”

This post takes you through the basic steps for creating a cloud-based deep learning dog classifier, with everything accomplished from the AWS Management Console. Originally from KDnuggets https://ift.tt/3hvtDGm source https://365datascience.weebly.com/the-best-data-science-blog-2020/build-dog-breeds-classifier-step-by-step-with-aws-sagemaker

Source AI-driven, powered by AI, transforming with AI/ML, etc., are some taglines we have heard far too often from the products we are being sold every day. Everyone is chasing after the promised land of machine learning but so few fully understand it. And that is indeed the origin of most of the challenges thatContinue reading “10 Key Challenges Data Scientists Face In Machine Learning Projects”

Classification is a core technique in the fields of data science and machine learning that is used to predict the categories to which data should belong. Follow this learning guide that demonstrates how to consider multiple classification models to predict data scrapped from the web. Originally from KDnuggets https://ift.tt/2YXEwIP source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-classification-project-in-machine-learning-a-gentle-step-by-step-guide