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Discover the Differences Between ML and AI

Discover the Key Differences Between ML and AI Today!!!

Discover the Differences Between ML and AI

Machine Learning (ML) and Artificial Intelligence are among the most sensational topics of today's world as organizations are leveraging these breakthroughs to create intelligent applications.

Though these terms influence business conversations across the globe, several individuals have difficulty differentiating them, mainly when AI and ML are used interchangeably.

Here we're with yet another blog helping you understand the topic: ML Vs. AI. So, let's go!

What is AI & ML?

a) Artificial Intelligence (AI)

Artificial Intelligence

It is the process of conveying information, data, and human intelligence to machines. The main objective of this innovative technology is to create autonomous machines that can think and behave like humans.

AI has the potential to imitate human behavior and execute activities by learning and problem-solving. The best example of an AI-based technology is Amazon Alexa.

Amazon Echo is a smart speaker that employs the virtual assistant AI technology, Alexa. This breakthrough system can play music, voice interaction, play audiobooks, set alarms, news, traffic reports, and weather forecasts.

b) Machine Learning (ML)

Machine Learning (ML)

It is a domain of computer science that leverages algorithms and analytics to develop predictive models to solve business problems. ML systems access a myriad of data and learn from it using various algorithms and techniques to predict the future.

According to McKinsey & Co., ML technology is based on algorithms that can learn from data without depending on rules-based programming.

Image recognition is the most significant and widespread example of ML in the real world - identifying an object as a digital image based on the pixel intensity in black and white or color pictures.

Different Types of AI and ML

a) AI

Limited Memory

Self-awareness

Reactive Machines

Theory of Mind

  • Refer the past information.
  • Data added over a period of time.
  • Referenced data is short-lived.
  • Designed to be aware of themselves.
  • Understand their own internal situations.
  • Predicts human emotions and act accordingly.
  • Systems don't create memories.
  • Past experiences aren't taken to make new decisions.
  • Like name, the system only reacts to observed live actions.
  • Ability to read human feelings and how it impacts decision making
  • Trained to adjust the system behaviors.

b) ML

Unsupervised Learning

Supervised Learning

Reinforcement Learning

  • Employ unlabeled data to identify patterns from it on their own
  • Determine hidden aspects from provided data.
  • Ex: Hierarchical clustering, anomaly detection, and k-means clustering.
  • Employ labelled data and predict future results based on previous data.
  • To train the model, system needs at least one input & output variable.
  • Ex: Naive Bayes, linear regression, SVM, decision tree, and logistic regression.
  • Trains an agent to complete task within an unpredictable environment.
  • Agent gets observation and a reward and sends actions to the environment.
  • Reward measures how successful action is in accordance with task objective completion.
  • Ex: Deep Q-learning neural networks and Q-learning neural networks.

Application of AI & ML

a) AI

  • AI bots like Aibo and Sophia
  • Machine Translation like Google Translate
  • Speech recognition apps like OK Google and Apple's Siri
  • Autonomous cars such as Google Waymo

b) ML

  • Product suggestions/recommendations
  • Sales forecasting for various products
  • Prediction of stock price
  • Fraud analysis in banking and finance sector.

If you want to start a career in Artificial Intelligence or Machine Learning, check out iCert Global's AI and ML training courses. The course enables professionals to dive deeper into the technologies and concepts leveraged in innovative approaches.


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About iCert Global

iCert Global is a leading provider of professional certification training courses worldwide. We offer a wide range of courses in project management, quality management, IT service management, and more, helping professionals achieve their career goals.

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