Artificial Intelligence, Machine Learning, Big Data Analysis – Emerging Technologies Continued

In the previous blog, We discussed some emerging technologies. Today we will discuss the three most leading technologies which are Artificial Intelligence, Machine Learning, Big Data Analysis.

Artificial Intelligence

What is Artificial Intelligence?

Artificial Intelligence is a replica process of human intelligence by machine using algorithms.

Types of Artificial Intelligence

Depending on activities, we can classify AI into four parts.

1. Reactive Machines

These task specified AI bots have no memory.

For example, Deep Blue, the IBM chess program can identify pieces on a chessboard and make the prediction. It has no memory. As a result, it can’t use past experience.

1. Limited Memory

These AI bot has memory. Therefore, it can utilize past experience to inform future decisions.

For example, Decision-making functions in self-driving cars.

1. Theory of Mind

These AI bot would understand the psychological emotions. So, it is able to infer intentions and predict behavior.

1. Self-Awareness

In other words, AI bots have a sense of self, which gives them consciousness. Certainly, the system can understand its current state. That is to say, this type of AI does not yet exist.

Depending on the process, there are two types of AI

1. Weak AI

In Weak AI, the pre-programmed strategy is maintained for any kind of work.

For example, iPhone Siri or Amazon’s Alexa use weak AI. To clarify, it maintains some pre-defined strategies for facing the activities. However, you ask Alexa to play music, it understands keywords like ‘play’, ‘music’. Consequently, it will respond as per the pre-loaded strategy and play the music.

1. Strong AI

A strong AI system uses a generalized form of the human brain’s cognitive abilities. When it faces an unfamiliar task, it finds the solutions using its experience, clustering, and association to process data without human intervention.

For example, an AI-based coffee maker hears ‘Good Morning’ and according to voice, it makes coffee for the persons as per food habit.

What is Fuzzy Logic?

Fuzzy Logic is a multi-value logic in which the true values of variables may be any real number between 0 and 1. Therefore, this logic is partially true or partially false. To clarify, fuzzy Logic is a major element of Strong AI.

Areas of Applications of Artificial Intelligence

In the following area, AI opened a new horizontal.

• Natural Language Generation
• Speech Recognition
• Machine Learning Platforms
• Virtual Agents
• Decision Management
• AI Optimized Hardware
• Deep Learning Platforms
• Robotic Process Automation
• Text Analytics and Natural Language Processing (NLP)
• Bio-metrics
• Cyber Defense
• Content Creation
• Emotion Recognition
• Image Recognition
• Marketing Automation

Programming Languages

The following AI programming languages are

• Python
• Java
• Prolog
• C++.

Artificial Intelligence as a Service (AIaaS)

Artificial Intelligence as a Service is a platform where any persons or company test AI projects with some revenue and cost implications.

Following are the most popular AI Cloud

• Amazon AI
• IBM Watson Assistant
• Microsoft Cognitive Service
• Google AI

The opportunities for AI in India

That is to say, as per the report, AI has the potential to add US$957 billion (equivalence to 15% of India’s GDP) in India’s economy by 2035.

Salary of AI Professionals in India

Above all, the median salary of AI professionals is between 10L to 15L per annum.

Machine Learning

What is Machine Learning?

Machine Learning is an application of Artificial intelligence that provides a scientific study of algorithms and statistical models. Machine Learning automatically learns & improves from experience without being explicitly programmed.

Types of Machine Learning

Following types of ML generally used

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

Technologies

Following Machine Learning Technologies are most important

• TensorFlow
• Keras
• Scikit-Learn
• Microsoft Cognitive Toolkit
• Theano
• Caffe
• Torch
• Accord.net

Programming Languages

Following programming languages are for Machine Learning

• Python
• R
• Java
• C++

Algorithms

Following algorithms are most essential for machine learning are

1. Linear Regression
2. Logistic Regression
3. Decision Tree
4. SVM
5. Naive Bayes
6. kNN (k Nearest Neighbors)
7. K-Means
8. Random Forest
9. Dimensionality Reduction Algorithms
10. Gradient Boosting algorithms
11. GBM (Gradient Boosting Machine)
12. XGBoost
13. LightGBM
14. CatBoost

Processes of ML

Following processes are for Machine Learning

1. Data Collection
2. Data Preparation
3. Choose a Model
4. Train the Model
5. Evaluate the Model
6. Parameter Tuning
7. Make Predictions

Process of Machine Learning

Source: Edureka

The opportunities Machine Learning in India

That is to say, as per the report of The Economic Times, artificial intelligence & machine learning helps to achieve the $5 trillion benchmark for India by 2035.

Salary of ML Professionals in India

Above all, the average salary of entry-level on Machine Learning is in between 8L to 14L.

Bigdata Anlysis

What is Bigdata Analysis?

Big data analysis is a complex process of examining large & varied data called Bigdata.

What is Data Analysis?

Data Analysis is an analyzing process that uses inspect, clean, transform and model of data set. That is to say, it takes a major role to discover useful information, notify the conclusion and help for decision making.

Types of Data Analysis

Following Data Analysis types used in industry

• Descriptive Analysis
• Text Analysis
• Statistical Analysis
• Diagnostic Analysis
• Predictive Analysis
• Prescriptive Analysis

Programming Languages of Data Analysis

Following Programming Languages are mostly preferred for Data Analysis

1. Python
2. R
3. SQL
4. Matlab.

Process 

Data Analysis consists of the following processes

1. Requirement Gathering
2. Collection
3. Cleaning
4. Analysis
5. Interpretation
6. Visualization

The opportunities Big Data Analysis in India

That is to say, according to The Economics Times report, Big data analytics sector in India is expected to become $16 billion by 2025.

Salary of Data Analysis Professionals in India

Above all, the salary of data analysis professional’s entry-level in India is around 4L to 6L per annum.

In conclusion, the above technologies give a horizon for fresh engineering students.