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Data Con LA 2021 is Coming! Best Regional Data Conference

The Data Con LA schedule is now available and the list contains leaders in various well-hyped industries. Spearheaded by Subash D’Souza and organized and supported by a community of volunteers, sponsors and speakers, Data Con LA features the most vibrant gathering of data and technology enthusiasts in Los Angeles.

Webinar: Using Third-party Healthcare Data to Accelerate Drug Discovery and Clinical Trial Protocol Design

[SPONSORED CONTENT] In this virtual session, AWS Data Exchange will host a panel discussion with thought-leaders from healthcare powerhouse companies like QIAGEN and IBM Watson Health. Learn about the critical role third-party datasets have played in the evolution of the healthcare and life sciences industry. FRIDAY, AUGUST 27 at 11AM PT | 2PM ET

Yandex Finds Better Way to Train ML Models Over the Internet

A new proposal from tech giant Yandex overcomes a major hurdle in the advancement of machine learning by bringing the process to the masses, so that anyone with a home computer can help train a large neural network.

Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-making

The recent research included in this report from Cognizant’s Center for the Future of Work reveals what separates leaders from laggards when it comes to using data and artificial intelligence to make better decisions. The report also explores business leaders’ attitudes about using AI for decision making—but also clearly demonstrates that their actions do not yet match their optimism.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 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 month.

Managing and Scaling Applications in Kubernetes

In early 2021, Traefik Labs conducted a survey to measure the market adoption of Kubernetes and to understand the challenges organizations face in managing and scaling applications. The results show that while businesses clearly see the need for Kubernetes, they still face difficulties when it comes to
adopting and scaling the technology.

Video Highlights: Minimize Risk and Accelerate MLOps With ML Monitoring and Explainability

In the presentation below, Amit Paka, Chief Product Officer and Co-founder, from our friends over at Fiddler AI, spoke at the Machine Learning in Finance Summit discussing the importance of monitoring and explainable AI (XAI).

KDD 2021 – Largest International Data Science Conference to Showcase the Latest in Knowledge Discover and Data Mining

The Association for Computing Machinery (ACM) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) announced KDD 2021, the group’s flagship conference, will take place virtually Aug. 14-18. The premier interdisciplinary data science conference, KDD 2021 will bring together researchers and practitioners from data science, machine learning, big data and artificial intelligence to fuel the innovation of tomorrow.

Book Review: Mathematics for Machine Learning

“Mathematics for Machine Learning” by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong, published by Cambridge University Press, is an excellent way to learn the math behind the models. This review shall highlight all the ways this book is special among the competition. Of all the books I’ve reviewed thus far, this is my favorite. Read on to learn why.

Video Highlights: FeatureTerminatoR Package for R

FeatureTerminatoR is an R package to remove unimportant variables from statistical and machine learning models automatically. The motivation for this package is simple, while there are many packages that do similar things, few of them perform automated removal of the features from your models. The author provides the video presentation below to help get you familiar with how the package works.