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Exploring the Viability of Generative Adversarial Networks for Audio Denoising

Exploring the Viability of Generative Adversarial Networks for Audio Denoising Sharing our experiences building an audio denoiser using GANs Photo by Jason Rosewell on Unsplash An article by Jacob Boness, Jamie Thomassen, and Colton Davenport One of the main goals of the Innovation team at Daitan is to keep our eyes open to emerging technology that can positively impact our clients. Undoubtedly, one of such technologies is...

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New electronic chip delivers smarter, light-powered AI

Researchers have developed artificial intelligence technology that brings together imaging, processing, machine learning and memory in one electronic chip, powered by light. The prototype shrinks artificial intelligence technology by imitating the way that the human brain processes visual information. The nanoscale advance combines the core software needed to drive artificial intelligence with image-capturing hardware in a single...

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Using generative models for explainable AI

Please find below the transcript for Season 2 Episode 5: Jeremie (00:00):Hello, and welcome to another episode of the Towards Data Science podcast. My name is Jeremie and I’m on the team over at the SharpestMinds data science mentorship program. Now, in the early 1900s a lot of our predictions were the direct product of the human brain. Scientists, analysts, climatologists, mathematicians, bankers, lawyers, politicians, they all...

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Big Things Are About To Happen: Google Releases Objectron Dataset

For evaluation of 3D object detection, we have the 3D counterpart of IoU (Intersection over Union) i.e. 3D IoU. This works by finding the intersection points of the 3D bounding boxes and then, using volume instead of area to do the calculation of IoU. The Areas That Will Be Disrupted Augmented Reality This is the field that will most benefit from this dataset. Datasets with indoor objects are less publicly available while most of...

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Fixing the Conflict between Math and Machine Learning

The evergreen question when someone into Machine learning is Do I need to know Math for Machine Learning? I suck at Math, can I able to pursue ML ( Machine Learning ) still? The blog is solemn of my takeaways and being practicing ML 6 months for now. So whatever is up to from now take it as a grain of salt, remember if it doesn’t work, you can always shift the boards and try another way. It all started with an Internship, I asked...

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Fuzzy 2020 : 6th International Conference on Fuzzy Logic Systems

6th International Conference on Fuzzy Logic Systems (Fuzzy 2020) December 18 ~ 19, 2020, Sydney, Australia Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms. Scope & Topics 6th International Conference on Fuzzy Logic Systems (Fuzzy 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology, and...

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Dealing with the Incompleteness of Machine Learning

Dealing with the Incompleteness of Machine Learning The prospect of automating every aspect of human life is exciting. Imagine humans permanently living a life of leisure and machine learning robot labor picking up the slack! Even though this sounds like a recipe for lazy and depressed humans, we can still be useful to each other by building communities surrounded by interests and companionship. And gaining fulfillment that we...

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People Intelligence Platforms Can Boost Productivity | Peoplelogic.ai

People Intelligence Platforms Can Boost Productivity | Peoplelogic.ai “I can’t wait to go back to normal.” You’ve probably said it yourself, or at least heard it, in the past few weeks. That phrase has to be one of the most commonly uttered phrases since the start of the pandemic. However, most people have realized that life will not be going back to normal anytime soon, as COVID-19 cases are spiking worldwide, and...

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How to Perform Fuzzy Dataframe Row Matching With RecordLinkage

Record Linkage, Case Study Now that you have an understanding of indexing, we can start record linkage with the full datasets: For full datasets, almost 5.5 million pairs are returned. Remember, if we used full indexing, it would have been 25 million. Now, using these candidate pairs, we will perform a comparison of each column value. To start comparing, we should create a comparing object: This object has many useful functions...

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Decision Tree With Amazon Food Reviews

Decision Tree With Amazon Food Reviews Decision trees are a popular supervised learning method for a variety of reasons. The benefits of decision trees include that they can be used for both regression and classification, they are easy to interpret and they don’t require feature scaling. They have several flaws including being prone to overfitting. Contents What are Decision Trees?. Geometric Intuition of Decision...