IT Training in JAIPUR
Python Classes for 11 & 12
How to Use IDLE
What is Python
What is Django
How to Use List in Python
Python - Variables and Assignments
Make a Simple Calculator
Part - I
Part - II
Celsius to Fahrenheit
Odd or Even
Km to Miles
Solve Quadratic Eq.
Area of Triangle
Find the Largest No.
Add Two Numbers
Find Prime Number
Find Leap Year
Python Fibonacci Sequence
Data Science Libraries
Machine Learning Libraries
Career in Python
Data Science Introduction
About Machine Learning
Introduction of Artificial Intelligence
What is Exception Handling in Python?
What is Neural Network in ML
Top 5 Machine Learning Training Institutes
Python Interview Questions
Data Science Interview Questions
Machine Learning Interview Questions
Help & Support
INTERVIEW QUESTIONS AND ANSWERS
MACHINE LEARNING INTERVIEW QUESTIONS
What is Machine Learning?
Machine learning is the branch of computer science which explores the study and construction of algos that can learn from and make predictions on data. ML majorly deals with system programming in order to automatically learn the things. For Example: Robots.
What are the five popular algorithms of Machine Learning?
The five popular algos of machine Learning are:
Support Vector Machines
What are the different Algorithm techniques in ML?
The different types of machine Learning techniques are:
Learning to Learn
Name the three stages to build the hypotheses or model in machine learning?
The three stages to build the hypotheses or model in machine learning are:
Applying the model
What is the standard approach to supervised learning?
The standard approach to supervised learning is to split the set of example into the training set and the test.
Name the various approaches for machine learning?
The list of approaches are:
Concept Vs Classification Learning
Inductive Vs Analytical Learning
Symbolic Vs Statistical Learning
What is not Machine Learning?
Rule based inference
Explain what are the functions of 'Supervised Learning'?
The functions are:
Predict Time Series
What are the functions of 'Unsupervised Learning'?
The functions are:
To find the clusters of the data
To find interesting directions in data
To find novel observations/ database cleaning
To find low-dimensional representations of the data
Interesting coordinates and correlations
What is algorithm independent machine learning?
Algorithm independent machine learning is that where mathematical foundations is independent of any particular classifier or learning algos.
What is Perceptron in Machine Learning?
Perceptron in machine learning is an algorithm for supervised classification of the input into one of several possible non-binary outputs.
What are Bayesian Networks (BN)?
To represent the graphical model for probability relationship among a set of variables the Bayesian Networks is used.
Why and When ensemble learning is used?
Ensemble learning is used to improve the classification, prediction, function approximation, etc., of a model. It is used when you want to build component classifiers that are more accurate and independent from each other.
What is PCA, KPCA and ICA used for?
These are the features of extraction techniques used for dimensionality reduction.
PCA - Principal Components Analysis
KPCA - Kernel based Principal Components Analysis
ICA - Independent Component Analysis
What is the difference between artificial intelligence and machine learning?
Machine Learning and Artificial Intelligence are both the terms of computer science. When machine can learn by its own without being programmed then it is known as Machine Learning. Whereas Artificial Intelligence is an addition to ML(Machine Learning) that covers various aspects like knowledge representation, natural language processing, planning, robotics etc.
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