To understand the difference between Artificial Intelligence vs Machine Learning vs Data Science at first it is needed to have some basic idea about what DS, AI, and ML are and how they influence modern technology and make life easier. Though all of them belong to the same domain yet they have their unique features and have different applications. Let us first discuss Data Science, Artificial Intelligence, and Machine Learning
Data Science
The term Data Science itself reveals that this technology is related to data. Data Science is the technology that studies data systems and processes. It is used to derive the true meaning from the data set and is also required to maintain those data sets. With the use of different algorithms, logic, and tools the meaning of a given piece of data can be derived.
The world of business, economy, and technology is producing a lot of data with time and so Data science is required to keep a track of this data and organize and store it. But then again since AI, DS and ML belong to the same domain and are interrelated so DS works well with AI and also uses ML technologies to work on data.
Artificial Intelligence
In a statement, AI can be described as the implementation of human intelligence in a machine. The AI systems are designed in such a way so that the machine can feed up the right information based on experience and can do self-correction. Artificial Intelligence is one of the leading and most popular technologies that is becoming an integral part of daily life. By making every device smarter AI is also used by Data Scientists to study a larger set of data with minimum complexity.
Machine Learning
Machine Learning is interrelated to AI and can also be said that it is a part of AI. ML is the technique of automation in a system so that it can learn techniques on its own without the need for any programming.
The Machine Learning systems study the data or the experience to identify the pattern of a problem and have a set of reasoning based on the observations. Machine learning can be used to derive the best and accurate design from a dataset. Together with AI and ML data scientists can derive accurate results for massive datasets.
Artificial Intelligence vs Machine Learning
| Artificial Intelligence | Machine Learning |
| Artificial Intelligence is used to make smart devices that can work using human intelligence and solve complex problems easily. | ML can work only with structured and semi-structured data |
| AI can be categorized as strong AI, general AI, and weak AI. | ML can be categorized as supervised, unsupervised, and reinforcement ML. |
| AI amplifies the success of data. | ML concentrates on accuracy. |
| The scope of AI is wider. | The scope of ML is limited. |
| AI can work with structured data, semi-structured data, and unstructured data. | ML can work only with structured and semi-structured data |
| The system includes humanoid robots and virtual assistants like Siri, Alexa, etc. | ML is used in google algorithms, auto-tagging on Facebook, etc. |
Data Science vs Machine Learning
| Data Science | Machine Learning |
| Works with real-life complex data to derive the meaning of the dataset | Uses patterns to determine the accurate outcome of a dataset |
| DS is used in several steps to create and deploy a model for a given set of data | It is used as a complete process for the data modelling step |
| Used for data handling, data cleaning, and for filtering the data | Used for supervised, unsupervised, and reinforcement ML |
| It deals with data | It deals with data science techniques to learn the data |
| Netflix uses data science | Facebook uses machine learning |
Artificial Intelligence vs Data Science
| Artificial Intelligence | Data science |
| Artificial Intelligence is used to implant data and knowledge in machines. | Data science is used to analyze and handle data |
| Different algorithms are used to work on AI | Statistical knowledge is used to work on data |
| It uses ML and deep learning techniques | It uses data analytics |
| Medium level processing of data for manipulation | High-level processing of data for manipulation |
| Human robots, smart devices, voice assistance are made using AI | Netflix and several other search engines use data science to work on the massive data. |
We hope by going through these tables mentioned above you will get a fair idea about the differences between Artificial Intelligence Vs Data Science Vs Machine Learning. In case you still have doubts you can join the courses at The IoT Academy. With mentors from reputed IITs, all your queries related to the above-mentioned domains will be taken care of.
