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Machine Learning in Python: Principal Component Analysis (PCA) for Handling High-Dimensional Data

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Machine Learning in Python: Principal Component Analysis (PCA) for Handling High-Dimensional Data In this video, I will be showing you how to perform principal component analysis (PCA) in Python using the scikit-learn package. PCA represents a powerful learning approach that enables the analysis of high-dimensional data as well as reveal the contribution of descriptors in governing the distribution of data clusters. Particularly, we will be creating PCA scree plot, scores plot and loadings plot. This video is part of the [Python Data Science Project] series. If you're new here, it would mean the world to me if you would consider subscribing to this channel.


MIT Technology Review on Twitter

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Hundreds of researchers tried to use nearly 13,000 data points to predict children's and families' outcomes. None got even close to a reasonable level of accuracy, regardless of whether they used simple statistics or cutting-edge machine learning.https://bit.ly/2JwgZHh


Automatic for the People: Pandemic-fueled rush to robo-moderation will be disastrous – there must be oversight

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Analysis The Electronic Frontier Foundation on Thursday warned that the consequences of the novel coronavirus pandemic – staff cuts, budget cuts, and lack of access to on-site content review systems, among others – have led tech companies to focus even more resources on barely functional moderation systems. Technology platforms have tended to favor automated content moderation over human editorial oversight. The results of such algorithmic policing have been imperfect but, more importantly to those implementing these systems, inexpensive compared to salaried employees or underpaid contractors. Though most of the major tech companies involved in overseeing user-generated posts have been celebrating machine learning for years now, the EFF frets that AI-driven moderation has been talked up a bit too much lately. The advocacy group points to recent public statements by Facebook, Twitter, and YouTube that cite increased reliance on automated tools for content moderation.


MLOps feature dive: Create event driven machine learning workflows

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In this video, you'll learn how you can use Azure Event Grid and Azure Machine Learning to trigger and consume machine learnings events. We talk about why eventing is important and how you can enable scenarios such as run failure alerts and retraining models. Jump To: [00:50] What is Event Grid? [01:32] Why is this useful? The AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show: https://aka.ms/aishowsubscribe


Gradient Dissent - Weights & Biases on Apple Podcasts

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Gradient Dissent by Weights and Biases We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about these building tools has been the conversations with these ML practitioners and learning about the interesting things they're working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast. We hope you have as much fun listening to it as we had making it. Today our guest is Nicolas Koumchatzky.


Machine Learning in Python: Building a Linear Regression Model

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Machine Learning in Python: Building a Linear Regression Model In this video, I will be showing you how to build a linear regression model in Python using the scikit-learn package. We will be using the Diabetes dataset (built-in data from scikit-learn) and the Boston Housing (download from GitHub) dataset. This video is part of the [Python Data Science Project] series. If you're new here, it would mean the world to me if you would consider subscribing to this channel. Disclaimer: Chanin is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to http://www.amazon.com.


Toyota's Woven City: a Prototype City of the Future

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Toyota has revealed plans to build a prototype "city" of the future on a 175-acre site at the base of Mt. Called the Woven City, it will be a fully connected ecosystem powered by hydrogen fuel cells. Envisioned as a "living laboratory," the Woven City will serve as a home to full-time residents and researchers who will be able to test and develop technologies such as autonomy, robotics, personal mobility, smart homes and artificial intelligence in a real-world environment.


Leveraging AI & Machine Learning in Healthcare: #AskTheCEO With Ed Scott

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Edward Scott is the founder and CEO of ElectrifAi, a company that leverages Artificial Intelligence and Machine Learning via their suite of products to drive profit improvement, increased performance, and risk reduction. As part of this discussion, we shared how their partnership with Microsoft, their use of Azure, and the Azure Marketplace have empowered them to scale and grow their business. Facebook: AvrohomGottheil Twitter: @avrohomg Instagram: @avrohomg INTERVIEW HIGHLIGHTS: [00:48] Artificial Intelligence is very prevalent nowadays, especially in HealthCare, and providers are converting their data to digital format to leverage the benefits of the latest innovations in technology. What are the challenges health care providers face when trying to go digital? Ed: You can access our solution set via one of the following links: electrifai.imageai


RPA in 2020 Learn RPA RPA Tutorial for Beginners RPA Training Edureka

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Also, it will list out the new changes and technologies that will collaborate with RPA in 2020. Subscribe to our Edureka YouTube channel to get video updates: https://goo.gl/6ohpTV This is a 4 Week Instructor-led Online Course, 25 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. At the end of the training, you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate! Robotic Process Automation is the automation of repetitive and rules-based human tasks working with the software applications at the presentation/UI level i.e. no software integrations are needed at middleware, server or database levels.