Machine Learning Model Development Life Cycle

Introduction Machine learning is a best way of knowledge analysis that automates analytical model building. It’s a branch of AI supported the thought that systems can learn from data, identify patterns and make decisions with minimal human intervention. Machine learning involves computers discovering how they will perform tasks without being explicitly programmed to try to to so. It involves computers learning from data provided in order … Read more

Regularizing Deep Neural Networks

    Introduction Lets discuss Regularizing Deep Neural Networks Deep neural nets with an outsized number of parameters are very powerful machine learning systems. However, overfitting may be a significant issue in such networks. Making it hard to affect over-fitting by associating the predictions of the many different large neural nets at test time, big networks … Read more

What Is The Quantum Bit, or Qubit?

quantum bit

 What Is The Quantum Bit, or Qubit? Introduction A quantum bit, or qubit, is that the elementary unit of data for a quantum computer almost likes a touch in normal machines. A qubit may be a two-state (or two-level) quantum-mechanical system, one among the only quantum systems displaying the peculiarity of quantum physics. Examples include … Read more

Application Programming Interface (API) in Cloud Computing

Application Programming Interface

Application Programming Interface (API) in Cloud Computing Introduction A cloud’s Application Programming Interface (API) is that the software interface that lets a company’s infrastructure or applications connects to the cloud. This is often perhaps the foremost important place for standardization. Many vendors within the cloud space would really like to say overall leadership and control … Read more

What is a recurrent neural network?

What is a recurrent neural network? Introduction Recurrent neural network (RNN) is a type of neural network that is helpful in modeling sequence data. Derived from feedforward networks, RNNs exhibit similar behavior to how human brains function. Simply put: recurrent neural networks produce predictive leads to sequential data that other algorithms can’t. RNNs are a … Read more