Machine Learning vs Artificial Intelligence by GetBundi
Machine Learning vs Artificial Intelligence by GetBundi
What is machine learning?
According to International Business Machines Corporation (IBM), machine learning is a branch of Artificial intelligence (AI) and computer science that focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
Machine learning is considered as a sub-set of AI, which uses algorithms trained on data sets to create machine learning models, that enable systems to perform tasks or make predictions without being explicitly programmed. These algorithms can be categorized into supervised learning, unsupervised learning, and reinforcement learning, each serving different purposes in solving complex problems across diverse domains.
The evolution of machine learning technologies has contributed to advancements in areas such as healthcare, finance, and autonomous systems. Machine learning leverages vast datasets to enhance its performance over time, refining its ability to identify patterns, optimize decision-making, and provide valuable insights.
Its applications span from recommendation systems, fraud detection, and language translation to autonomous vehicles and personalized medicine. As technology progresses, the interdisciplinary nature of machine learning continues to drive innovation and shape the future of artificial intelligence.
Artificial Intelligence
Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, and speech recognition, amongst others.
AI technologies power many devices such as chatbots, and voice assistants amongst others, and are used across several industries. These AI systems work by ingesting large amounts of labeled trained data and analyzing the data to give useful information and predictions.
AI has become a very pivotal tool in today’s world, due to the important role it plays in human lives and the workplace. In businesses, this technology is used to automate tasks done by humans, to save time and resources. Particularly when it comes to repetitive, detail-oriented tasks, AI tools often complete the jobs quickly and are prone to fewer errors.
The Relationship Between Machine Learning And Artificial Intelligence
Even though there are certain differences between Artificial Intelligence and Machine learning, they both have a similar outcome and intelligent software that can handle more complex tasks.
One similarity between Machine Learning and Artificial Intelligence is that they both use data which plays an important role in computer programs. Artificial intelligence is a more extensive field that encompasses both rule-based systems and learning-based systems, machine learning is a subset specifically dedicated to learning from data.
Also, Machine learning and Artificial Intelligence are quite similar in the adaptation of data, in the sense that AI operates based on predefined rules and logic, without necessarily involving learning from data. These systems are explicitly programmed to perform a particular task.
Machine learning, on the other hand, can automatically learn and adapt from data. They excel in tasks where patterns, trends, or insights can be derived from large datasets.
Difference Between Artificial Intelligence And Machine Learning
While Machine Learning and Artificial intelligence might look similar in application and operation, there are still some notable differences between both technologies.
Here is an overview of the difference between Artificial Intelligence and Machine Learning;
Complexity:
Artificial Intelligence (AI) applications can range from simple rule-based systems to highly complex systems that simulate human-like intelligence across diverse tasks.
Machine learning models can be complex, especially in deep learning, where neural networks have multiple layers.
Decision Making:
Traditional Artificial Intelligence (AI) systems follow predetermined decision rules based on programmed logic, while Machine learning models make decisions based on probability.
Human Intervention:
AI systems may require frequent human intervention, while machine learning can automate decision-making processes to a great extent, reducing the need for constant human intervention.
Why Are Artificial Intelligence And Machine Learning Needed in Today’s World?
The importance of Machine Learning and Artificial Intelligence cannot be over-emphasized, due to the essential role they play in today's world. Their applications have become integral to addressing contemporary challenges and driving innovation.
Check out some important roles Artificial Intelligence and Machine learning play in today’s world
1. Data Analysis and Insights:
Artificial Intelligence and Machine Learning enable organizations to analyze vast amounts of data quickly and derive meaningful insights. This is invaluable for data-driven decision-making across various industries, including business, finance, healthcare, and marketing.
2. Healthcare Advancements:
In healthcare, Artificial Intelligence and Machine Learning contribute to medical diagnostics, drug discovery, and personalized treatment plans. These technologies can analyze medical images, predict disease outbreaks, and optimize clinical workflows.
3. Cybersecurity:
Artificial Intelligence and Machine Learning play a vital role in cybersecurity by detecting and mitigating security threats. These technologies can analyze patterns, detect anomalies in network traffic, and improve the overall security posture of systems.
4. Financial Services:
In the financial industry, Artificial Intelligence and Machine Learning are utilized for fraud detection, algorithmic trading, credit scoring, and customer service. These technologies enhance accuracy, reduce risks, and improve overall financial decision-making.
5. Education and Personalized Learning:
Artificial Intelligence and Machine learning support personalized learning experiences by adapting educational content based on individual student performance. It provides targeted interventions and helps educators tailor instruction to meet diverse learning needs.
Can Artificial Intelligence and Machine Learning be Used Together?
Yes, artificial intelligence (AI) and machine learning (ML) are often used together. Machine learning is a subset of AI that involves the development of algorithms allowing systems to learn from data and make predictions or decisions.
Notably, Artificial Intelligence (AI) and machine learning complement each other, with machine learning serving as a valuable tool within the broader spectrum of artificial intelligence applications.
It is worth noting that GetBundi, an education technology platform, designed to deliver high-quality engaging, and accessible STEM education for post-primary school and Digital, offers both Machine Learning and Artificial Intelligence courses.
These courses are designed for beginner to intermediate learning. Learners will also get to develop expertise in core Python for Machine and Generative AI
With a vision to upskill 10 Million Africans with Digital Skills in 10 Years, GetBundi is on a mission to build a new Africa based on technology.