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It contains an overview of neural network architectures for practical data analysis followed by extensive step-by-step coverage on linear networks, as well as, multi-layer perceptron for nonlinear prediction and classification explaining all stages of processing and model development illustrated through practical examples and case studies.

With an easy to understand format using extensive graphical illustrations and multidisciplinary scientific context, this book fills the gap in the market for neural networks for multi-dimensional scientific data, and relates neural networks to statistics.

Lecture: Mathematics of Big Data and Machine Learning

MIT RES.LL-005 D4M: Signal Processing on Databases, Fall 2012 View the complete course: Instructor: Jeremy Kepner ..

Basics of urban modelling: Professor Sir Alan Wilson, CEO - The Alan Turing Institute

Cities are (nonlinear) complex systems which provide interesting modelling challenges. At the core, is the task of modelling activities at locations and flows ...

Lecture 1.2: Gabriel Kreiman - Computational Roles of Neural Feedback

MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: Instructor: Gabriel ..

Lesson 1: Deep Learning 2018

NB: Please go to to view this video since there is important updated information there. If you have questions, use the forums at ..

Lecture 12 - Regularization

Regularization - Putting the brakes on fitting the noise. Hard and soft constraints. Augmented error and weight decay. Lecture 12 of 18 of Caltech's Machine ...

Lecture 5: Backpropagation and Project Advice

Lecture 5 discusses how neural networks can be trained using a distributed gradient descent technique known as back propagation. Key phrases: Neural ...

Mehran Sahami: How can you make the best possible decisions?

How do you make decisions in your daily life? Many people make seemingly reasonable, yet ultimately irrational decisions. However, we can learn to make ...

Mod-02 Lec-22 Fisher’s LDA

Pattern Recognition by Prof. C.A. Murthy & Prof. Sukhendu Das,Department of Computer Science and Engineering,IIT Madras.For more details on NPTEL visit ...

Lecture 7: Introduction to TensorFlow

Lecture 7 covers Tensorflow. TensorFlow is an open source software library for numerical computation using data flow graphs. It was originally developed by ...

Neural Networks for Segmentation and Classification