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[Video] Big Data Tutorial for beginners: What is Big Data? What is Hadoop and...

This Big Data Tutorial video consists of four lessons of Big Data and Hadoop course offered by Simplilearn. The lesson begins with the introduction of Big data and Hadoop developer and its objectives where you end up learning the...

Online Adaptation of Language Models for Speech Recognition

Hybrid models of speech recognition combine a neural acoustic model with a language model, which rescores the output of the acoustic model to find the most linguistically likely transcript. Consequently, the language model is of key importance in both...

[Video] Linear Regression in Machine Learning

This Machine Learning tutorial is ideal for beginners who want to understand Data Science algorithms as well as Machine Learning algorithms. This Linear Regression in Machine Learning video will help you understand the basics of Linear Regression algorithm - what...

Blockchain in 7 minutes

This Blockchain video will help you understand what led to the creation of Blockchain, what Blockchain is, how a Bitcoin transaction works, how Blockchain plays an integral role in it with feartures like hash encryption, proof of work and...

A Predictive Model for Music Based on Learned Interval Representations

Connectionist sequence models (eg, RNNs) applied to musical sequences suffer from two known problems: First, they have strictly" absolute pitch perception". Therefore, they fail to generalize over musical concepts which are commonly perceived in terms of relative distances between...

Learning Transposition-Invariant Interval Features from Symbolic Music and Audio

Many music theoretical constructs (such as scale types, modes, cadences, and chord types) are defined in terms of pitch intervals relative distances between pitches. Therefore, when computer models are employed in music tasks, it can be useful to operate...

Hello AI World with Jetson

Hello World is the simplest program in all programming languages, so it is often used in simulations for beginners about basic programming syntax in programming languages, or to test the efficiency of a language or a certain system. Jetson Nano...

[Video] Deep Learning simplified

Deep Learning is an important subfield of Artificial Intelligence (AI) that connects various topics like Machine Learning, Neural Networks, and Classification. The field has advanced significantly over the years due to the works of giants like Andrew Ng, Geoff...

[Document] The Context-dependent Additive Recurrent Neural Net

The Context-dependent Additive Recurrent Neural Net Contextual sequence mapping is one of the fundamental problems in Natural Language Processing. Instead of relying solely on the information presented in a text, the learning agents have access to a strong external...

20 Deep Learning Papers

Deep Learning, one of the subfields of Machine Learning and Statistical Learning has been advancing in impressive levels in the past years. Cloud computing, robust open source tools and vast amounts of available data have been some of the...

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