What are data science, big data, and machine learning?

Data Science, big data, and Machine Learning are the Future. Data Science, big data, and Machine Learning are Highly Correlated To Each Other.

So Here We will try to differentiate each of them.

In This Article, We Will Take a Brief look at What Actually data science, big data, and Machine Learning are? We will also talk about What are Some of the Applications of this Tech. At, last we will talk about What Skills are Required for these Technologies.

After Reading this Article You Will Be Able to Define are these Technologies and you will be able to choose which Tech best fits you.

What is Data Science?

As the Term Indicates "data science" is the science behind the data. It Means That We are Dealing and Playing with data for gaining relevant information from the given data. We Explore the data and try to find the information relevant to that data.

Data Science is the fusion of Many Studies Like Statistics, Mathematics, Programming, Machine Learning, Deep Learning, and etc.

In Simple Words, We Can Define Data Science is a multi-disciplinary field that uses mathematical or Technological Methods and Algorithms to Extract Relevant Needs or Information from the Structured and Unstructured data. 

Applications of Data Science

Some of the Applications of Data Science are the following:-

• Data Science in Healthcare:- Data Science in Healthcare are Used to Identify and Predict diseases.
• Advertisement:- Showing Ads Relevant to your interests.
• Recommender Systems:- A lot of Big Companies Use this for promoting their products and also giving a high user Experience.
• Internet Search:- Search Engines use Algorithms and provide the best results for your queries. 

Skills Required to become Data Scientist

Some of the Following Skills are Common for becoming a data scientist:-

• High School Mathematics:- Basic Knowledge of High School Mathematics is Required. Important topics in Mathematics for data science are the following:-
• Linear Algebra
• Calculus
• Discrete Mathematics
• Statistics
• Python:- Python is One of the Best Programming Language Recommended for data science because of its insane features and libraries. Some of the Famous Libraries are:-
• Pandas:- Manipulating the data
• Numpy:- Scientific Computing
• Matplotlib:- Visualizing the data
• Seaborn:- Visualizing the data
• Sklearn:- Used for Machine Learning
• Flask:- For Deploying Models
• Django:- For Deploying Models
• Big data:- Knowledge of Big data like Hadoop is Important for data science and it can be beneficial for a data scientist.
• Machine Learning
• Deep Learning
• Data Analysis

What is big data?

As the Term Indicates "Big data" is a large volume of datasets Which is the Combination of both Structured and Unstructured data.

Big data are huge data that are examined Computationally to identify different kinds of trends, patterns, etc. that can lead to better decisions in Many Industries. 

Applications of Big data

• Insurance:- Big data is Vastly Used in Insurance Industries.
• Data Science:- Big data is also used in data science as data is required for data science.
• Fraud Analysis

Skills Required to Become Big data Engineer

• Analytical Skills:- Analysis of data is Important for Big Data. There are Many Popular Frameworks Like Hadoop, Hive, Spark can help you in accomplishing these skills.
• Data Visualization:- Visualization of data is yet another important part. Tableau Can Help You in Accomplishing these Skills.
• Programming Skills
• Understanding of database
• SQL
• Data Mining
• Machine Learning and Deep Learning:- This is Optional but If You will have these skills you will raise out from the crowd.

What is Machine learning?

Machine Learning as the term describes that the machine is learning and the machine is learning from data. More Formally we Can Define Machine Learning as:-

In Simple Words, Machine Learning is the Art of Computer Programs that can learn from the data trained by Algorithms.

Machine Learning is Sometimes also Called Subset of Artificial Intelligence as Machine Learning Can Predict Future Things And there are a lot of factors why it is called?

There are Three Types of Machine Learning:-

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning

Applications of Machine Learning

Some of the Applications of Machine Learning are as follows:-

• Image Recognition:- Machine Learning is Very Helpful in this Type of Applications.
• Email Checker:- Machine Learning Can Classify Emails as a Spam or Non-Spam.
• Self-driving cars
• Sales Prediction
• Virtual Personal Assistant

Skills Required to Become a Machine Learning Engineer

• High School Mathematics
• Problem Solving Skills
• Have Experience in Working With data
• Python Programming Language
• Deep Learning

Conclusion

So, From this Article, we have Differentiated Three Types of Technology, Data Science, Machine Learning, and Big data and it seems that these tech skills are highly correlated to each other.

I hope you found this Article Helpful, If You had Gained Any Information Please share this Article with Others So that Others Can Also Get Benefit From This Article.

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