The design is the process of using data to find solutions/ to predict the outcomes of a problem statement.
It is also known as data-driven science and is an interdisciplinary field about scientific methods and processes and systems to extract knowledge or insights from data in various forms structured or unstructured.
There are mainly 5 stages in the data science process:
- Understanding business problem
- Data collection
- Data cleaning and Exploration
- Model building
- Collect insights
Artificial intelligence, Machine learning, and Deep learning are a part of Data Science.
Machine learning is the Science of Getting computers to learn without being explicitly programmed. Machine learning works on a simple concept that is understanding with experiences.
The primary aim of machine learning is to allow computers to learn automatically without human interaction.
Types of machine learning:
- Supervised learning:
- in supervised learning, given training explains examples of Input and corresponding output, the machine can predict outputs for new inputs
- in supervised learning, we train the images concerning data that is well labelled and with the correct output.
- Unsupervised learning:
- Unsupervised learning deals with the unlabeled data
- No training data set is provided which means, no training will be given to the machine. Therefore it must work on its own to discover the required information.
- The machine is trained with unlabelled data.
Artificial Intelligence is one of the booming fields in the computer science field, which is bringing about a global revolution by making intelligent machines. It is currently all around us in the modern world and is making an entry into every field ranging from playing chess to robotics, to self-driving cars, to proving mathematical theorems.
Artificial Intelligence is made up of 2 words Artificial meaning “Man-Made” and Intelligence meaning “power to think”, making it a “man-made thinking machine”. The end goal of Artificial Intelligence is to make a machine that can think like humans and make decisions based on certain factors.
Goals of Artificial Intelligence:
The main goals Artificial Intelligence aims to achieve are as follows:
- Solve knowledge-intensive tasks.
- Replicate human intelligence to make meaningful decisions.
- Building a machine that can perform tasks that usually require human intelligence.
- Build a machine that demonstrates intelligent behaviour and is capable of learning new stuff from past data/experiences.
Data Science MCQ
Procedural Domain Knowledge in a rule-based system, is in the form of?
Real-Life Problems
Prep for Target Roles
Custom Plan Duration
Flexible Plans
Identify the clustering method which takes care of variance in data
Identify the Incorrect CLI command.
Identify the key data science skills among the following
Identify the language which is used in data science?
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Identify the model which is usually a gold standard for data analysis
Identify the revision control system on the following.
Real-Life Problems
Detailed reports
Inference engines work on the principle of?
Knowledge in AI can be represented as?
Machine learning is a subset of which of the following.
Machines running LISP are also called?
Out of the given options, which of the following algorithms uses the least memory?
PEAS is an abbreviation for?
Identify the activation function output which is zero centered
Raw data should be processed only one time. Is the following statement true or false?
The different types of machine learning are?
Total groups in which data can be characterized is?
Total principles of analytical graphs that exist are __________
Total types of layer in radial basis function neural networks is ______
What are different machine learning methods?
What does K stand for in K mean algorithm?
Which of the following architecture is also known as systolic arrays?
Which of the following is not a part of the data science process?
Which of the following is not a supervised learning
Which of the following machine learning algorithm is based upon the idea of bagging?
Choose the general limitations of the backpropagation rule among the following.
A hybrid Bayesian Network consists of?
Among the following identify the one in which dimensionality reduction reduces.
Among the following logic function, which of the following cannot be implemented by a perceptron having two inputs
Among the following options choose which one of the following focuses on the discovery of unknown properties on the data.
Among the following options identify the one which is false regarding regression.
Among the following SGD variant, which of the following is based on both Momentum and adaptive learning.
Among the following, choose the correct application of data science in Healthcare.
Another name of data dredging is
Another name of data fishing is?
Artificial Intelligence is associated with computers of which generation?
Choose a disadvantage of decision trees among the following.
Choose the correct components of data science.
A column is a _________- representation of data.
Choose the instance-based learner.
Choose whether the following statement is true or false: Time deltas are differences in times, expressed in difference units
Choose whether the following statement is true or false: Unstructured data is not organized
Choose whether the following statement is true or false: A data frame is an unstructured representation of data
Choose whether the following statement is true or false: Artificial intelligence is the process that allows a computer to learn and make decisions like humans.
Choose whether true or false: Decision tree cannot be used for clustering
CLI stands for ___________
Components of an expert system are?
FIND-S algorithm ignores?
Full form of PAC is _________________
How many types of observing environments are there?
