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Android Developer should know these Data Structures for Next Interview
The must-know data structures for an Android interview are Array, Linked List, Hash Table, Stack, Queue, Tree, and Graph. We will learn each of them.
What are the types of Operating Systems?
The main types of Operating Systems are Batch, Time-Sharing, Distributed, Embedded, and Real-time. We will learn how each one works with examples.
Android TensorFlow Lite Machine Learning Example
TensorFlow Lite is the lightweight version of TensorFlow for mobile devices. We will use it in an Android app to detect objects on the device itself.
What is Bias In Artificial Neural Network?
Bias in an Artificial Neural Network is the constant c in y = mx + c. It lets the model shift its line away from the origin so that it can fit the data better.
What is Feature Engineering in Machine Learning?
Feature Engineering is the process of using domain knowledge of the data to create features that make Machine Learning algorithms work better.
How Does The Machine Learning Library TensorFlow Work?
TensorFlow works by letting us build a data flow graph of constants, variables, and operations, and then executing that graph on CPUs or GPUs.
What Are L1 and L2 Loss Functions?
L1 Loss (Least Absolute Deviations) and L2 Loss (Least Square Errors) are loss functions in machine learning. L1 handles outliers better than L2.
What is Machine Learning?
Machine Learning is a field of computer science that gives computers the ability to learn from data without being explicitly programmed.
What is a Recurrent Neural Network (RNN)?
A Recurrent Neural Network (RNN) is a neural network that remembers context from the earlier inputs in a sequence, which helps it predict the right output.