Author Archives: 365Data Science

Dr. Michio Kaku has formulated a very interesting theory of consciousness that applies to AI systems. Originally from KDnuggets https://ift.tt/31JkxAb source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-curious-theory-about-the-consciousness-debate-in-ai

Also: The NLP Model Forge: Generate Model Code On Demand; DeepMinds Three Pillars for Building Robust Machine Learning Systems; Beyond the Turing Test; Must-read NLP and Deep Learning articles for Data Scientists; How to Optimize Your CV for a Data Scientist Career Originally from KDnuggets https://ift.tt/2QEJOVJ source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-aug-24-30-if-i-had-to-start-learning-data-science-again-how-would-i-do-it-4-ways-to-improve-your-tensorflow-model-key-regularization-techniques-you-need-to-know

Basic Example of Neural Style Transfer This post is a practical example of Neural Style Transfer based on the paper A Neural Algorithm of Artistic Style (Gatys et al.). For this example, we will use the pretrained Arbitrary Image Stylization module which is available in TensorFlow Hub. We will work with Python and tensorflow 2.x. NeuralContinue reading “Basic Example of Neural Style TransferPredictive Hacks”

Photo by Clint Adair on Unsplash ML Handy Tools Recommender System Metrics — Clearly Explained Understanding the evaluation metrics for recommender systems In this post, we will be discussing evaluation metrics for recommender systems and try to clearly explain them. But before that let’s understand the recommender system in short. A recommender system is an algorithm that provides recommendations toContinue reading “Recommender System MetricsClearly Explained”

Photo by Anastasia Petrova on Unsplash Language-guided Navigation in a 3D Environment Language-guided navigation is a widely studied field and a very complex one. Indeed, it may seem simple for a human to just walk through a house to get to your coffee that you left on your nightstand to the left of your bed. ButContinue reading “Language-Guided Navigation in a 3D Environment”

Algorithms for text analytics must model how language works to incorporate meaning in language—and so do the people deploying these algorithms. Bender & Lascarides 2019 is an accessible overview of what the field of linguistics can teach NLP about how meaning is encoded in human languages. Originally from KDnuggets https://ift.tt/2Divn6K source https://365datascience.weebly.com/the-best-data-science-blog-2020/linguistic-fundamentals-for-natural-language-processing-100-essentials-from-semantics-and-pragmatics

Amazon’s Machine Learning University is making its online courses available to the public, and this time we look at its Accelerated Computer Vision offering. Originally from KDnuggets https://ift.tt/35188cX source https://365datascience.weebly.com/the-best-data-science-blog-2020/accelerated-computer-vision-a-free-course-from-amazon

So, Here in this Blog, i will show you that how can we solve the healthcare problem by enabling the power of Deep Learning. Table of Contents:- Introduction Image Segmentation Business Problem Datasets Prerequisites Classification & Segmenatation Acrchitecture Inference Pipeline Conclusion references 1. Introduction : So here in this section we will discuss about computer vision, https://machinelearningmastery.com/what-is-computer-vision/Continue reading “Semantic Segmentation for Pneumothorax Detection & Segmentation”

Today, Competitive Programming is more popular than ever. The Internet has played an important role in this progress. There is now an… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/do-you-need-competitive-programming-c9b58b3ac397?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/do-you-need-competitive-programming