Author Archives: 365Data Science

Custom Object Detection Using TensorFlow Teachable Machine In Flutter Apps

There are plenty of articles available on Training your own custom object detection model using TensorFlow, YoloV3, Keras, etc. But most of us doesn’t know how to do it or want to spend a lot of time on just reading and understanding the algorithms and then creating our own dataset and then training that datasetContinue reading “Custom Object Detection Using TensorFlow Teachable Machine In Flutter Apps”

The Uses and Need for Interpretable AI

Published from my website Photo by Nicolas Solerieu on Unsplash A popular topic in the deep learning research space is interpretable AI. Which means AI that you can understand why it made a decision. This is a growing field as AI is creeping into lots of industries. And accuracy is not just important but the method orContinue reading “The Uses and Need for Interpretable AI”

Empirical Evidence to common Stock Portfolio Questions

An intuitive and replicable explanation to some of the most important questions of portfolio building At first glance investing seems like rocket science to many people. The sheer amount of possible assets to invest in and the amount of fancy sounding finance terms might seem intimidating. This blog-post elaborates on three of the most askedContinue reading “Empirical Evidence to common Stock Portfolio Questions”

tensorflow dalex = :) or how to explain a TensorFlow model

Having a machine learning model that generates interesting predictions is one thing. Understanding why it makes these predictions is another. For a tensorflow predictive model, it can be straightforward and convenient develop an explainable AI by leveraging the dalex Python package. Originally from KDnuggets https://ift.tt/35sbQf8 source https://365datascience.weebly.com/the-best-data-science-blog-2020/tensorflow-dalex-or-how-to-explain-a-tensorflow-model

How to Acquire the Most Wanted Data Science Skills

We recently surveyed KDnuggets readers to determine the “most wanted” data science skills. Since they seem to be those most in demand from practitioners, here is a collection of resources for getting started with this learning. Originally from KDnuggets https://ift.tt/3eU81Tl source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-acquire-the-most-wanted-data-science-skills

Toward a More Effective Disease Outbreak Alert System: A Symptoms Approach to Biosurveillance

Learn how the use of more granular symptoms-level data combined with innovative statistical techniques has the potential to identify disease outbreaks faster while limiting false positives. Originally from KDnuggets https://ift.tt/32BqqPW source https://365datascience.weebly.com/the-best-data-science-blog-2020/toward-a-more-effective-disease-outbreak-alert-system-a-symptoms-approach-to-biosurveillance

Linux Server for AI: The Step-by-Step Guide

Source: https://unsplash.com/photos/466ENaLuhLY You can follow these steps to make a Linux system ready for AI from scratch. You need CUDA to use NVIDIA GPUs for general purpose processing. As NVIDIA puts it: “CUDA is a parallel computing platform and programming model that makes using a GPU for general purpose computing simple and elegant.” More information canContinue reading “Linux Server for AI: The Step-by-Step Guide”

Deploy your first ML model live on WEB (Part 4)

Deploying on Heroku and live on Web Photo by Agnieszka Boeske on Unsplash If anyone landed on this page directly then wait you will have to read the first, second and third part of this series to get the idea of what’s going on here ðŸ™‚ Part 1 — Creating ML model for News Classification Link Part 2 — Creating News ClassificationContinue reading “Deploy your first ML model live on WEB (Part 4)”

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