Machine Learning Tools That You Can’t Go Without
In this post, we offer a curated list of the 18 best ML open-source software, libraries, and frameworks in 2020.
Read more »Deploying and Hosting a Machine Learning Model Using Flask, Heroku and Gunicorn
Part 2 of my series on working with Naive Bayes for text classification…
Read more »Top Machine Learning Frameworks for Web Development
Today, machine learning is one of the hottest trends, Looking for Open Source Frameworks For Machine Learning and web development here you go read more…
Read more »Free and Open Machine Learning
Everyone in the world should have access to high-quality machine learning resources. This to empower Free and Open Machine Learning.
Read more »Serverless Suitable for Machine Learning and AI Workloads? – Talking Serverless
Serverless computing like FaaS could be a good candidate for machine learning and artificial intelligence workloads due to cost efficiency…
Read more »Building Feature Stores for Real-Time Machine Learning
On June 30, join Splice Machine for a webinar on the power of a feature store in ML operations.
Read more »How NASA Is Using Machine Learning [video]
Today we launched TFiR Ai, a channel dedicated to Ai, ML, Deep Learning and other such technologies. Our debut video is our interview with Chris Mattmann, de…
Read more »16th International Conference on Machine Learning and Data Mining (Amsterdam)
MLDM 2020 will take place on July 20 – 21, 2020 at Amsterdam, Netherlands. Find out more about MLDM 2020 and discover the best upcoming hand-picked events in the field of artificial intelligence and machine learning.
Read more »Elastic Machine Learning Algorithms in Amazon SageMaker
To help support our community working remotely during COVID-19, we are making all work published by ACM in our Digital Library freely accessible through June 30, 2020. Learn more…
Read more »Practical Black-Box Attacks Against Machine Learning
Machine learning (ML) models, e.g., deep neural networks (DNNs), are vulnerable to adversarial examples: malicious inputs modified to yield erroneous model outputs, while appearing unmodified to human observers. Potential attacks include having malicious …
Read more »