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Tag: Machine Learning

insideBIGDATA Latest News – 7/24/2021
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from …
Multi-Billion Dollar Businesses Benefit From Web Scraping. Can Yours?
In this contributed article, Andrius Palionis,VP of Enterprise Solutions at Oxylabs, discusses how businesses of all sizes can benefit from web scraping. Billion-dollar businesses got to where they are today by leading the industry in technological innovation. That’s because data continues to increase in importance and literally “fuels” the digital …
ICML 2021 Invited Speakers — ML for Science
By: Stefanie Jegelka and Ameet Talwalkar (ICML21 Communication Chairs) With ICML 2021 underway, we wanted to briefly highlight the upcoming invited talks. A general theme of the invited talks this year is “machine learning for science.” The Program Chairs (Marina Meila and Tong Zhang) have invited world-renowned scientists from various …
Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2021
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the …
House Prices Prediction
Your new home is waiting in Ames, Iowa. Let us explore the real estate market in Ames. Background: This project encompasses the process of predicting the house sale prices in Ames, Iowa. The data set from Kaggle provides 80 features that contribute to predictions and I the various models were …
Building a Speaker Recognition Model
The ability of a system to recognize a person by their voice is a non-intrusive way to collect their biometric information. Unlike fingerprint detection, retinal scans or face recognition, speaker recognition just uses a microphone to record a person’s voice thereby circumventing the need for expensive hardware. Moreover, in pandemic …
Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2021
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the …
Healthcare Fraud Detection
Background The National Health Care Anti-Fraud Association (NHCAA) estimates that financial losses due to healthcare fraud are in the tens of billions of dollars each year. Healthcare fraud translates to higher premiums, out-of-pocket expenses, and reduced benefits and coverage for consumers. It also leads to higher costs for employers providing …
Noah Kalina’s averaged face over 7,777 days
Noah Kalina has been taking a picture of himself every day since January…Tags: average, face, machine learning, Michael Notter, Noah Kalina
The insideBIGDATA IMPACT 50 List for Q3 2021
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled …
Now in Databricks: Orchestrate Multiple Tasks With Databricks Jobs
READ DOCUMENTATION As companies undertake more business intelligence (BI) and artificial intelligence (AI) initiatives, the need for simple, clear and reliable orchestration of data processing tasks has increased. Previously, Databricks customers had to choose whether to run these tasks all in one notebook or use another workflow tool and add …
“Above the Trend Line” – Your Industry Rumor Central for 7/13/2021
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the …
Predicting Home Prices Ames, IA
For this project we created a pricing model for homes in Ames, Iowa using data on over 2,500 home sales between 2006 - 2010. We implemented both supervised and unsupervised ML methods to predict housing prices and to create a handbook of data-driven insights for use by Zillow-affiliated real estate …
Finding Undervalued Homes in Ames, Iowa
Team Members: Jesse Egoavil, Aleksey Klimchenko, Nixon Lim, Alex Pinkerton Source Code: GitHub Repository Objective and Target Audience Our objective for the project was to find undervalued homes, determine the most important features that can be improved upon, and from there, pick out features that would have the biggest incremental …
Video Highlights: Running Effective Machine Learning Teams
In the video presentation below, Niko Laskaris, Data Scientist and Head of Strategic Projects at MLOps solutions provider Comet, hosts a compelling webinar showing you how to address many issues regarding AI/ML. He also shares case studies, and examines the shortfalls of traditional and agile practices applied to ML teams.
Can Online Machine Learning Tools Help with Personal Financial Management?
Artificial intelligence is rapidly changing the state of finance. There is a lot of discussion about financial institutions relying on AI technology to better serve their customers. Intuitively, this also means that consumers stand to benefit from advances in artificial intelligence as well. However, they should not be passive about …
Understanding the Benefits And Risks Of Relying on AI
John McCarthy invented the term Artificial Intelligence back in 1950. He said, “Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use …
How a New AI Mindset for AutoML Will Make Deep Learning More Accessible
In this special guest feature, Yonatan Geifman, CEO & co-founder of Deci, discusses how automated machine learning (or AutoML) can “democratize data science” by gradually implementing different levels of automation.