Question

What is a hyperparameter in machine learning?

Answer 1

In the context of machine learning, hyperparameters are parameters whose values are set prior to the commencement of the learning process. By contrast, the values of other parameters are derived via training.

Different model training algoritms require different hyperparameters, some simple algorithms (as ordinary least squaresregression) require none. Given these hyperparameters, the training algorithm learns the parameters from the data. E.g. LASSO is an algorithm that adds a regularizationhyperparameter to OLS regression, that has to be set before estimating the parameters through the training algorithm.

Answer 2

Artificial intelligence and Machine learning

Artificial intelligence is the intelligence of humans used by computers with the help of simulation. The all machines and computers which we use today works with the help of Humans. Means, they don't have their own capacity to think and take decisions. The computers which we use today works with the help of Operating system (OS). Which make the connection between the humans and computers. The Artificial intelligence is the future of this planet.

Artificial intelligence is categorized in 2 different groups : Weak and strong. Because of which, Artificial intelligence is easy to understand and design. It's obvious that the Artificial intelligence is the future of this world and in the future of this world, we will see the all computers and phones who can think themselves.

Lot of companies today are working on Artificial intelligence and its need to this world. Because, the all tech and software development companies know the importance of Artificial intelligence in the future. Therefore, so many companies are today working on this Artificial intelligence field. Because of which, there is a lot of chance to get a Job in the field on Artificial intelligence.

Google, Microsoft, Facebook, Twitter and many internet based popular sites are today working on the development of the Artificial intelligence. This all companies are trying to make the Artificial intelligence more better to get the world with the advanced technologies.

Artificial intelligence is created by the deep learning algorithms because of which, Artificial intelligence can work better and more efficient. Artificial intelligence and Machine learning

Artificial intelligence can costs very expensive because of the Hardware and the software components. Artificial intelligence is used in this world today also for many purposes and it will be used in future also. The word which we hear as Robot is based on the Artificial intelligence. Artificial intelligence means the Computers can think themselves with their own efficiency.

Artificial intelligence is having the following efficiencies:

• Image and text recoganization: With the help of Artificial intelligence, it will be very easy to recognize any kind of image and the languages found in history. Artificial intelligence can recognize an image and it can give it's information and all required data to the scientists for the research work.
• Face recoganization: This is as similar to above one. In this technology, scientists are working for the Artificial intelligence face recognize. With the help of this, it will be very helpful to find the face of criminals.
• Software and program development: As humans can today develop the apps and programs, Artificial intelligence will be able to create and develop the software and programs. Because of which, the huge work of humans will be saved.

APPLICATIONS:

• Image recognization
• Chatbots
• Natural language
• Speech recognization

Software and Hardware for training:

• GPU
• Like spark
• Cloud data storage

Types of models:

• Deep learning
• Machine learning
• Neural learning

Programming languages used:

• Java
• Python
• C
• Tensorflow

Machine learning: Machine learning is very different from the AI concept. Machine learning is the way of teaching to the computers by programming them. Suppose, if we teach any computer or machine to do any specified work, then the machine can do that specified work for long time with no error.

Because of which, Machine learning is also used in some websites. Because of which, they can track our data and can show the ads related to the products and articles which we read and see on the internet.

Advantages and dis-advantages of Artificial intelligence:

Advantages:

1. AI can be used in business for growing our business or getting any ideas related to it. Artificial intelligence can also do the repeated work for long time, because of which Employees can decreased and business can increase.  
2. AI is also used in the treatments of the body. In short, Artificial intelligence is also used in the smart healthcare for finding the problems in the body. Because of which, treatment is error free.
3. Artificial intelligence is also used in education. The students can attract to the way of teaching of Artificial intelligence robots. Because of which, High grading students can be there. They can also teach the students in the digital way.
4. AI is also used in Manufacturing of machines. Artificial intelligence can do the work for long time with no mistake and error.

Disadvantages:

1. If the robots will think the opposite about humans, then the end of this earth will be not so far.
2. Robots can do the any illegal work which is not allowed in country.. Because of which, there can be a jail to its developer.
3. Artificial intelligence robots can steal the information and they can send it to the other governments. Because of which, there is a chance to be 3rd world war.
4. AI can kill the humans, if humans will scold or train it other way.