Converting data to knowledge demands Machine Learning
Whether you are a student, a business owner, or a machine learning enthusiast, MLDawn can help you.
News
- Dr. Mehran Bazargani (The founder of MLDawn) has successfully defended his Ph.D. thesis
- Dr. Mehran Bazargani has started a post-doc position on Active Learning for Medical Image Analysis
- MLDawn has now launched the Interview with ML experts
Upcoming Events
- The next video of designing a brain tumor detector: Environment replication, dataset download, and reading the data
- An interview with Prof. Thomas G. Dietterich: The Guru of Anomaly Detection and ML
Latest Talks/Interviews by MLDawn
An interview with Prof. Mikhail Belkin
We never Had Truly Understood the Bias-Variance Trade-off!!! In this interview with Prof. Mikhail Belkin, we will discuss his amazing paper: “Reconciling modern machine learning
An interview with Prof. Tom Mitchell
“There are a lot more papers written than there are widely read!” (Tom Mitchell) Prof. Tom Mitchell is one of the giants of machine learning
ECML-PKDD-2019: Elliptical Basis Function Data Descriptor (EBFDD) for Anomaly Detection
ECML-PKDD-2019 on EBFDD networks for Anomaly Detection This paper introduces the Elliptical Basis Function Data Descriptor (EBFDD) network, a one-class classification approach to anomaly detection
Latest Posts by MLDawn
Understanding Relu: A desceptively simple activation function!
What is this post about? The Rectified Linear Unit (Relu) will be beautifully dissected: https://www.youtube.com/watch?v=Un9A90mfO54 This is what you will be able to generate and
An interview with Prof. Mikhail Belkin
We never Had Truly Understood the Bias-Variance Trade-off!!! In this interview with Prof. Mikhail Belkin, we will discuss his amazing paper: “Reconciling modern machine learning
Reconciling modern machine learning practice and the bias-variance trade-off
What is This post about? The interview with the lead author of the paper: Prof. Mikhail Belkin Together we will analyze an amazing paper entitled:
An interview with Prof. Tom Mitchell
“There are a lot more papers written than there are widely read!” (Tom Mitchell) Prof. Tom Mitchell is one of the giants of machine learning
Stochastic Approximation to Gradient Descent
What will you learn? The video below, delivers the main points of this blog post on Stochastic Gradient Descent (SGD): (GitHub code available in here)
Back-propagation with Cross-Entropy and Softmax
What will you learn? This post is also available to you in this video, should you be interested 😉 In our previous post, we talked