Blockchain Technology vs Machine Learning

We are living in the 21st century. Humans are introducing new things every day to simplify their lives. The whole world is dependent on technology. On those technologies that make human life easier, convened, and simple. This is a completely new world technology. Technologies take humans to the next level.

We have mentioned one-world technology many times. But are you aware of technology ?. technology is something like “ The practices used with scientific knowledge in various fields and introduced new products.”

There are various types of technology but here we discuss two technologies. The first one is blockchain technology and the other one is machine learning. These both are subparts of electrical technology.

What is blockchain technology?

Blockchain technology is a framework where data can be recorded & stored in blocks. Blocks make this data impossible to crack, hack change, and thief. This means blockchain technology creates a destabilized network in cryptography.

What is Machine Learning?

Machine learning is the fundament of Artificial intelligence, which is used for data analysis. ML technology used automated computer programs and shared predicted results. Machine learning uses previously recorded data and suggests results on the basis of stored data.

Coding Languages used in Blockchain

Here are coding languages used in blockchain technology

• C++
• C
• Java
• Python
• Solidity
• Golang
• C#
• Javascript

Coding Languages used in Machine Learning

Here are the top languages used in machine learning development

• Python
• R programming
• Javascript
• Julia
• Lisp
• Scala
• C/C++
• Typescript
• GO
• Shell

Features of Blockchain Technology

Every technology brings features along with that. So what are the key features that make it unique?

• Immutability
• Decentralized
• Enhanced security
• Distributed ledger
• Consequences
• Faster settlement

Features of Machine Learning

To understand the real power of Machine Learning, you need to understand its features. These are the main fundamentals

• Perform automated data visualization.
• Automation and its best
• Better Customer engagement
• Take efficiency to the next level and merge with IoT.
• Ability to change the mortgage market.
• Accurate data analysis that humans are not able to do.

Working Process of Blockchain Technology & Machine Learning

Both technologies are different combination of technologies, here we explain how both technologies work

How Blockchain Technology Works

As you know, blockchain technology is decentralized. It works with distributed leaders. Here are the simple and easy steps to understand

• An authorized person inputs a transaction, this transaction is authenticated by the technology.
• This process or action develop a block that shows that specific data or transaction
• This created block is shared with every computer node in the digital network.
• Authorized nodes verify the transaction.
• Nodes add the block to the existing blockchain.
• The update is distributed across the network & finalizes the transaction.

How Machine Learning Works

Machine learning is based on algorithms, its working style is different from others. It works on two techniques

• Supervised learning
• Unsupervised learning

Uses of Blockchain technology & Machine Learning

Uses of Blockchain Technology

The idea of blockchain is specially introduced for cryptocurrency development but later other uses are invented

1. Secure and decentralized Money tracryptocurrency developmentnsfer
2. Financial exchange
3. Lending services
4. Insurance services
5. Real estate
6. Secure personal information
7. Voting
8. Government benefits
9. Fro creation Non Fungible tokens
10. Logistics and supply chain tracking

Uses of Machine Learning

Machine learning is unlocking values across the business, here we are sharing 10 uses of machine learning in the enterprise

1. Face recognition system
2. Speech recognition system
3. Traffic predictions
4. Product recommendation in e-commerce business
5. Self-driving cars are developed with machine learning
6. Email spam and malware filtering
7. VPA (Virtual personal assistant)
8. Online fraud detection
9. Stock market trading
10. Automatic language translation

Pros of Blockchain Technology & Machine Learning

Like advantages, uses, and functions, pros are also associated with technologies. Technologies are always measured on the basis of the pro.

Blockchain technology pros

Here are some pros of blockchain technology

1. Disintermediation
2. High-quality data
3. Durability and security
4. High level of integrity
5. Immutability and transparency
6. Longeability & reliability
7. Simplistic ecosystem
8. Empowered users
9. Faster transaction
10. New business module and business chain

Machine Learning Technology pros

Here are some machine learning technology pros

1. Identify trends and patterns easily with the help of Machine Learning
2. Improve itself over time, which can be one of the most important pros of machine learning.
3. It is self-sufficient
4. It is assorted
5. Save time
6. Energy efficient

Cons of Blockchain technology & machine learning

Like advantages, uses, and functions, cons are also associated with technologies. Technologies are always improving themselves to remove these cons

Blockchain technology cons

Blockchain technology is ready to change the world. Therefore, there are cons that you need to know

1. Blockchain technology is not in the distributed computing system.
2. Scalability is one of the major concerns in blockchain technology.
3. Blockchain solutions like cryptocurrency use too much energy
4. Data is immutable- this means blockchain technology does not go in reverse.
5. Blockchain technology is sometimes inefficient.
6. As you know blockchain technology is safest and secure but not completely secured, still needs to improve security.
7. You are the boss of your money.
8. Still no government rules & regulations

Machine Learning Cons

1. Ethical consideration
2. Block of creativity
3. Out of the box thinking
4. High cost
5. Increase unemployment, decrease jobs for humans.
6. Degradation
7. AI machines do not have emotions
8. Uncontrollably

Future of Blockchain & Machine Learning

Blockchain technology is one of the most promising industries in the last few years. Developers and industry experts understand blockchain technology and implement this for the first time in cryptocurrency. As you know, the future is bright if you understand the possibilities of blockchain technology. Developers understand and introduce new features and uses of blockchain technology.

Not only today but also in the future Blockchain technology will be used in the dairy industry, supply chain & logistics management, sports, healthcare & pharma industry, tour & travel industry.

If we talk about the Future of Machine Learning, machine learning is improving itself day by day.

This means it will improve more than today. Developers and industry experts are already looking for machine learning features in different industries. Now we are using Machine Learning in entertainment, e-commerce, robotics, data analysis, etc. Other industries are also added with machine learning soon.

Conclusion

Now we are crystal clear about blockchain and machine learning. Both technologies are coded in different languages. Features, advantages, pros, cons, and uses are also different. But on the other hand if we talk about the combination of blockchain technology & machine learning then it will be crucial and change the entire world.

Author Bio:
Hi, I'm Manisha Sharma and I love to read and write. Being engaged in the cryptocurrency development company for more than 3 years, I developed an excellent knowledge of it. As a way to contribute and help people learn new things about crypto, blockchain, bitcoin MLM, bitcoin mining software, bitcoin wallet, etc. I started writing. All the blog posts driven by me are full of information and will give you a true insight into the cryptocurrency world.