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Save 30% on an Arlo video doorbell with a customizable chime

Mashable

If you're looking to invest in a smart doorbell, this Arlo Audio Doorbell and Chime Bundle is a great option. This home security power duo notifies you when someone is at your door -- even when you're not even home. This particular package includes both the smart doorbell and a chime. The doorbell is easy to install and calls your smartphone or tablet when someone rings it. You can then talk with your visitors via your device, or visitors can leave a message. The included chime takes the doorbell up another notch.


Cyber Monday deals under $50: 20 picks that won't drain your savings

Mashable

Hopefully you didn't blow all your cash on Black Friday sales, because Cyber Monday deals are (un)officially underway. You won't have to throw your budget out the window to grab some great gifts or upgrades for yourself this holiday season. We've rounded up 20 of the best Cyber Monday deals under $50. Listen to music, ask Alexa for assistance, and manage all your smart home devices with the sound of your voice. We're all missing loved ones right now, so get this Echo Show 5 to help you out with video calling, smart home management, and more.


Predicting best quality of wine using Linear Regression and PyTorch

#artificialintelligence

In this notebook we will predict the best quality of the wine using PyTorch and linear regression. If you haven't checked out my previous blog on Linear Regression check this out . First of all lets import required libraries.. Now lets analyse our dataset.. its important to analyse to see what we are dealing with.. Training Dataset: The sample of data used to fit the model. The actual dataset that we use to train the model (weights and biases in the case of a Neural Network). The model sees and learns from this data.


How to Navigate Analytics Job Search During COVID-19

#artificialintelligence

This analysis is a part of our project in the Summer Data Competition 2020 hosted by Fuqua School of Business. I want to send my special thank to my teammates: Yaqiong (Juno) Cao and Xinying (Silvia) Sun, for their great contribution. Are you an analytics master student who is seeking a job and have no idea what the job market looks like, especially during COVID-19? Our project aims to analyze the current online job posting situation that can help students better understand the current job market, find the most suitable job positions, and make the best preparation for these jobs. After integrating the latest data from authorized websites like LinkedIn, Yahoo Finance, and company official websites, we generated some interesting insights from our multi-dimensional analysis.


Intelligence-Based Spine Care Model: A New Era of Research and Clinical Decision-Making - G. Michael Mallow, Zakariah K. Siyaji, Fabio Galbusera, Alejandro A. Espinoza-Orías, Morgan Giers, Hannah Lundberg, Christopher Ames, Jaro Karppinen, Philip K. Louie, Frank M. Phillips, Robin Pourzal, Joseph Schwab, Daniel M. Sciubba, Jeffrey C. Wang, Hans-Joachim Wilke, Frances M. K. Williams, Shoeb A. Mohiuddin, Melvin C. Makhni, Nicholas A. Shepard, Howard S. An, Dino Samartzis, 2020

#artificialintelligence

Three popular approaches to healthcare that are relevant to the treatment of spine pathology are the evidence, outcome, and values-based models. The evidence-based model categorizes research into levels based on study design (e.g. The evidence-based model suffers from limited availability of Level 1 evidence data (e.g. Thus, these results are challenging for clinicians to interpret in the setting of conflicting and inconclusive results.6 Additionally, data from similar levels of evidence may be viewed as equivalent, when actual study quality may vary.


Ethical AI isn't the same as trustworthy AI, and that matters

#artificialintelligence

Artificial intelligence (AI) solutions are facing increased scrutiny due to their aptitude for amplifying both good and bad decisions.



AI & ML Stories You May Have Missed (1)

#artificialintelligence

As some of you know, we have had a Flipboard magazine that deals with Blockchain, Cryptocurrencies, and of course of Fintech for quite some time. We are known for publishing the short blog post - Crypto stories you may have missed. We have taken a leaf from our book and done the same with artificial intelligence, machine learning, and robotics. From this moment on, we will be putting out a similar blog post for AI, ML, and robotics. We intend to have this continue into the near future.



The Future of AI: What 2021 Holds

#artificialintelligence

"We expect customers are going to look for hyper-personalised, cheaper, faster, safer and more transparent products and service offering to suit their preferences. We see that big techs are already offering such services to their customers leveraging AI, comprehensive and seamless automation, deep Learning and actionable real-time insights," says Rajashekara Maiya, vice president, global head of business consulting and product strategy at Infosys Finacle. It's a view shared by Andy Pardoe, Founder and Managing Director, Pardoe Ventures who believe that personalisation will extend into the finance sector in the form of the robo-advisor, the expert intelligence that can find the right types of financial product based on individual circumstances, preferences and risk profile.