Data mining vs Machine Learning: what is the difference between them? Which is more suitable for you to learn

New terms emerge one after another , What neural network , machine learning , Data mining, etc , Data mining involves data , Machine learning is also inseparable from data , What is the difference between them ？

What is data mining ？

Data mining is the process of extracting useful information from a large amount of data , Data mining is mainly about organizations or individuals looking for valuable information , From a jumble of data , Find a way to help business development , Increase business revenue , Even the process of helping enterprises find new opportunities , And the process of data mining , It needs human beings to complete .

What is machine learning ？

Machine learning is the process of discovering algorithms , These algorithms are improved by experience gained from data . It is the design of Algorithm 、 research and development , So that the machine can learn without human intervention .

  What do they have in common ？

Data mining and machine learning belong to the field of data science , Because they all use data . Both of these processes are used to solve complex problems , In addition, machine learning is sometimes used as a means of useful data mining , therefore , Many people （ by error ） Use these two terms interchangeably .

The difference between data mining and machine learning

• The birth time is different

First , Data mining is earlier than machine learning 20 year , Data mining comes from 1930 The age has existed ; Machine learning appears in 1950 years .

• Purpose is different

Data mining aims to extract rules from a large amount of data , Machine learning teaches computers how to learn and understand given parameters . Or to put it another way , Data mining is just a research method , Determine specific results based on the total amount of data collected . Machine learning is used to train systems to perform complex tasks , And use the collected data and experience to become more intelligent .

• The data used are different

Data mining depends on a large amount of data storage （ For example, big data ）, then , These data are used to help enterprises make predictions . On the other hand , Machine learning tends to use algorithms , Not raw data .

• Dependence on human beings varies

Data mining relies on human intervention , If humans don't interact with data , Data mining will not work properly . The biggest feature of machine learning is that you can learn by yourself , It has very little interaction with humans , It is almost limited to the initial setting algorithm .

• How data mining and machine learning relate

Besides , Data mining is a process that contains two elements ： Database and machine learning . The former provides data management technology , The latter provides data analysis technology . therefore , Although data mining requires machine learning , But machine learning does not necessarily require data mining . however , In some cases , Information from data mining is used to view the connections between relationships . The information collected and processed through data mining can be used to help machine learning , But it's not necessary , It will just be more convenient for machine learning .

• Use for different purposes

The retail industry uses data mining to understand customers' buying habits , So as to help enterprises formulate more successful sales strategies . Social media is the fertile ground of data mining , Because it can be from user data 、 Inquire about 、 Keywords and shared information are collected together . It will help advertisers integrate relevant promotional activities . The financial community uses data mining to study potential investment opportunities , Even the possibility of success of start-ups .

Machine learning is mainly used in autonomous vehicle 、 Credit card fraud detection 、 Online customer service 、 Spam interception 、 business intelligence （ for example , Manage transactions 、 Collect sales results 、 Business plan selection ） And personalized marketing . Companies that rely on machine learning include Google 、Yelp、Twitter、Facebook as well as Pinterest wait .

Whether you want to be a data scientist , Or become an expert in machine learning , Saint Prynne can provide you with corresponding professional courses , Help you get data scientist certification or machine learning certification .

If you want to acquire machine learning ability , St. Prynne offers 40 Hours instructor led training , exceed 24 Practical exercises ,4 A real project with a laboratory , Besides , St. Prynne also offers access to Purdue University 、 IBM Cooperative AI And machine learning certification courses . The program gives you a deeper understanding Python、TensorFlow Deep learning 、 natural language processing 、 speech recognition 、 Computer vision and reinforcement learning .

In the big data course , You will learn statistics 、Python、R、Tableau、SQL and Power BI.

As for which professional skills should be learned , You can choose according to your interests , You can also choose according to your current position or the position you want to do in the future .