Blockchain and machine learning are overlapping concepts also known as orthogonal concepts. They intersect and support each other at several points. The focal point for both blockchain and machine learning is data. As big data was introduced machine learning faced challenges such as scale and distribution, to which the solution was blockchain.
Blockchain vs Machine Learning
The main difference between Blockchain and Machine Learning is that a blockchain provides AI technology with absolute privacy and accountability for their data. On the other hand, machine learning is a subsection of AI technology that enables the machine to improve and update automatically as new data is continuously being updated.
Blockchain is a technology that securely records and stores data and information. It is vital digital leverage for transactions such as cryptocurrencies. Each time a transaction happens it is recorded and updated globally across all computer applications. As the networks are highly cryptographic all the transactions made over a blockchain are secure.
Machine learning is an algorithm via which machines can improve and adapt simultaneously as new data is being added. Machine technology enables AI technology to process data and perform tasks using it. Machine learning takes up a large amount of organized and unorganized data
Comparison Table Between Blockchain and Machine Learning
|Parameter of Comparison||Blockchain||Machine Learning|
|Definition||It is a record of the exchange of data and information that are conveyed across several computer networks||It is a study that calculates algorithms and can develop data and information through experience.|
|Function||Store data for the AI technology, and share and access it with all||Sanctions machines to perform tasks utilizing the data|
|Security||Provides extreme security to data and information||Does not provide security|
|Accountability||It is highly accountable||Not accountable|
|AI technology||Provides privacy and accountability to AI technology||It is a sub-section of the AI technology|
What is Blockchain?
Blockchain is a technology or a system to record data information for AI technology. It stores the data such efficiently that it is impossible to cause any threat to the data. It is essential digital leverage for the transactions that take place globally across all computer systems.
Every step in the chain contains several transactions. Every time a fresh transaction takes place on the blockchain it is recorded and added to the ledger of each user or participant. Almost all the major cryptocurrencies are powered by blockchain, cryptocurrencies being the most basic list of transactions in the blockchain.
In a Blockchain numerous transactions are recorded via a changeable cryptographic signature, it is also known as a distributed ledger technology (DTL). Popular Blockchain such as bitcoin and Ethereum are consistently developing and changing as blocks are being added to the chain, this significantly helps with maintaining the privacy and security of the record.
The rundown of exchanges taking place in the blockchain is basic for most digital currencies since it provides secure installments to be made between individuals who don’t have the slightest idea about one another’s whereabouts.
Due to the networks being highly cryptographic, payments through blockchains are considered safer and secure over regular debit or credit card transactions. In a blockchain, while making payments private and sensitive details are not required. Hence being the least risky choice for one’s financial data.
What is Machine Learning?
Machine learning is a sub-section of AI technology, it is an ability used in the AI technology to provide the machines with the power of learning and improve simultaneously as the data is being uploaded and updated. It majorly focuses on the improvement and development of the AI system in the machines.
This process of learning begins with the surveillance of the data and information that the system is being fed. Its main goal is to let the machines recognize and learn themselves and perform activities accordingly.
Machine learning is a significant strategy for several companies, as they compile the customer’s behaviors and business patterns and apply them in developing their company or the services they provide. Leading companies like uber, google, and Facebook has made machine learning a key part of their operations.
There are four basic types of machine learning methods namely- supervised machine learning algorithms, unsupervised machine learning algorithms, semi-supervised machine learning algorithms, and reinforcement machine learning algorithms.
Main Differences Between Blockchain and Machine Learning
- Blockchain is a record of the data and information that are taking place across several computer networks. Machine learning however is an ability that makes it suitable for AI technology to learn and improve automatically as the data is uploaded and updated.
- Blockchain records or stores a large number of data and information for AI technology. The goal is to share all these data with the mass. However, the function of machine learning is to sanction machines that facilitate the AI technology to perform tasks accurately.
- Blockchain provides absolute security of the data and information; machine learning however does not prove any sort of assurance.
- Blockchain is highly accountable and responsible for the data and information provided, however in the case of machine learning it does not claim any such responsibility apart from aiming to complete tasks accurately.
- Blockchain provides AI technology with absolute privacy and data accountability. Whereas, machine learning is a sub-section of AI technology.
Blockchain and machine learning were brought together with data. As machine learning started facing problems due to the introduction of big-scale data, blockchain came to the rescue. Blockchain served as the single source of this data, solving the issue.
Blockchain evenly distributes the data and information that it processes. It is one f the most secure means of transaction. Machine learning is an algorithm that studies data and accordingly updates the machinery.