Artificial Intelligence Interview Questions – Set 18

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What are the types of Machine Learning?

Machine Learning can be mainly divided into three types:

  • Supervised Learning: Supervised learning is a type of Machine learning in which the machine needs external supervision to learn from data. The supervised learning models are trained using the labeled dataset. Regression and Classification are the two main problems that can be solved with Supervised Machine Learning.
  • Unsupervised Learning: It is a type of machine learning in which the machine does not need any external supervision to learn from the data, hence called unsupervised learning. The unsupervised models can be trained using the unlabelled dataset. These are used to solve the Association and Clustering problems.
  • Reinforcement Learning: In Reinforcement learning, an agent interacts with its environment by producing actions, and learn with the help of feedback. The feedback is given to the agent in the form of rewards, such as for each good action, he gets a positive reward, and for each bad action, he gets a negative reward. There is no supervision provided to the agent. Q-Learning algorithm is used in reinforcement learning.

Explain artificial intelligence examples and applications?

a. Virtual Personal Assistants

Basically, it is processed in which we have to collect a huge amount data. That is collected from a variety of sources to learn about users. Also, one needs to be more effective in helping them organize and track their information. For Example There are various platforms like iOS, Android, and Window mobile. We use intelligent digital personal assistants are like Siri, Google Now, and Cortana. AI plays an important role in this apps. If you demand they use to collect the information. And this information is used to recognize your request and serves your result.

b. Smart Cars

There are two examples: That are featured Google’s self-driving car project and Tesla’s “autopilot”. Also. the artificial intelligence is been used since the invention of the first video game.

c. Prediction

We call it as the use of predictive analytics. Its main purpose is potential privacy. Also, we can use in many ways. As its also sending you coupons, offering you discounts. That is close to your home with products that you will like to buy. Further, we can call it as the controversial use of artificial intelligence.

d. Fraud Detection

We use AI to detects fraud. As many frauds always happen in banks. Also, computers have a large sample of fraudulent and non-fraudulent purchases. As they asked to look for signs that a transaction falls into one category or another.

How to select the best hyperparameters in a tree-based model?

There are two best Hyperparameter in a tree-based model

  • Measure the performance over training data
  • Measure the performance over validation data
    We have to consider the validation result while comparing with the test results, so the answer is B

Which domain study Artificial Included?

  • Computer Science
  • Cognitive Science
  • Engineering
  • Ethics
  • Linguistics
  • Logic
  • Mathematics
  • Natural Sciences
  • Philosophy
  • Physiology
  • Psychology
  • Statistics

Which programming language is not generally used in AI, and why?

Perl Programming language is not commonly used language for AI, as it is the scripting language.

Name some expert System Technology?

It includes:
a. Expert System Development Environment

Basically, hardware and tools are included in it. They are −
Minicomputers, workstations, mainframes.
LISt Programming (LISP) and PROgrammation en LOGique (PROLOG).
Large databases.
b. Tools

Generally, tools are used to reduce the effort and cost.
Powerful editors and debugging tools with multi-windows.
They provide rapid prototyping.
Have Inbuilt definitions of a model, knowledge representation, and inference design.

What is Depth-First Search Algorithm?

It is based on the concept of LIFO. As it stands for Last In First Out. Also, implemented in recursion with LIFO stack data structure. Thus, It used to create the same set of nodes as the Breadth-First method, only in the different order. As the path is been stored in each iteration from root to leaf node. Thus, store nodes are linear with space requirement. With branching factor b and depth as m, the storage space is bm.

What are the Different Types of AI?

Reactive Machines AI: Based on present actions, it is not capable of using previous experiences to form current decisions whilst simultaneously updating their memory.
Limited Memory AI: This type of AI is used in self-driving cars – they detect the movement of vehicles around them constantly and add it to their memory.
Theory of Mind AI: Advanced levels of AI have the ability to understand emotions and people.
Self Aware AI: This type of AI possesses human-like consciousness and reactions. Such machines have the ability to form self-driven actions.
Artificial Narrow Intelligence (ANI): This type of AI is a general-purpose AI, essentially used in building virtual assistants like Siri or Alexa.
Artificial General Intelligence (AGI): AGI is also known as strong AI. Example: Pillo robot – that answers questions related to health.
Artificial Superhuman Intelligence (ASI): This is the AI that possesses the ability to do everything that a human can do and more. An example is the Alpha 2 which is the first humanoid ASI robot.

Tell one technique to avoid overfitting in neural networks?

Dropout Technique: The dropout technique is one of the popular techniques to avoid overfitting in the neural network models. It is the regularization technique, in which the randomly selected neurons are dropped during training.

What is Ensemble Learning?

Ensemble learning is a computational technique in which classifiers or experts are strategically formed and combined. It is used to improve classification, prediction, and function approximation of any model.