Skip to main content

Featured Post

Top 10 Advance Java Interview questions?

Top 10 Advance Java Interview questions?   What are the differences between abstract classes and interfaces in Java? What is the difference between ArrayList and LinkedList in Java? What is the purpose of the finalize() method in Java? What is polymorphism in Java and how is it achieved? What are the different types of inner classes in Java? What is the difference between static and non-static methods in Java? What are the different types of exceptions in Java and how do they differ? What is the difference between checked and unchecked exceptions in Java? How does Java handle multithreading and synchronization? What are the different types of JDBC drivers in Java and how do they differ?
Post a Comment

What is Data Science?

 What is Data Science?

Data Science is about data gathering, analysis, and decision-making.

Data Science is about finding patterns in data, through analysis, and make future predictions.

By using Data Science, companies are able to make:

  • Better decisions (should we choose A or B)
  • Predictive analysis (what will happen next?)
  • Pattern discoveries (find a pattern, or maybe hidden information in the data)

How Does a Data Scientist Work?

A Data Scientist requires expertise in several backgrounds:

  • Machine Learning
  • Statistics
  • Programming (Python or R)
  • Mathematics
  • Databases

A Data Scientist must find patterns within the data. Before he/she can find the patterns, he/she must organize the data in a standard format.

Here is how a Data Scientist works:

  1. Ask the right questions - To understand the business problem.                 
  2. Explore and collect data - From the database, weblogs, customer feedback, etc.                                                                                 
  3. Extract the data - Transform the data to a standardized format.             
  4. Clean the data - Remove erroneous values from the data.                     
  5. Find and replace missing values - Check for missing values and replace them with a suitable value (e.g. an average value).                        
  6. Normalize data - Scale the values in a practical range (e.g. 140 cm is smaller than 1,8 m. However, the number 140 is larger than 1,8. - so scaling is important).                                                                         
  7. Analyze data, find patterns and make future predictions.                 
  8. Represent the result - Present the result with useful insights in a way the "company" can understand.
Labels:

Comments

Post a Comment

Popular posts from this blog

WHAT ARE NEURAL NETWORKS? | Comingfly

WHAT ARE NEURAL NETWORKS ? Neural Networks the process of machine learning are neural networks. These are brain-inspired networks of interconnected layers of algorithms, called neurons, that feed data into each other, and which can be trained to carry out specific tasks by modifying the importance attributed to input data as it passes between the layers. During training of these neural networks, the weights attached to different inputs will continue to be varied until the output from the neural network is very close to what is desired, at which point the network will have 'learned' how to carry out a particular task. A subset of machine learning is deep learning, where neural networks are expanded into sprawling networks with a huge number of layers that are trained using massive amounts of data. It is these deep neural networks that have fueled the current leap forward in the ability of computers to carry out task like speech recognition and computer vision. T here are vario...
6 comments
Read more

What is Go Language ? | Comingfly

What is Go Language ? What Go Language? :- v    Go is a modern, general purpose language. v    A new ,Open source Programming language. v    Concurrent , Builds fast at scale. v    Go language is very fast. v    Garbage-Collected. v    Lightweight syntax. v    Simple type system. v    Productive. v    Simple. v    Fun History of Go language :- Go language developed by Rob Pike   and Ken Thompson. More than 250 contributors join the project.   Design began late in 2007.   Become open source in 2009.   Version is 1.2.2. Feature of Go language ? v   In the current world, languages don't help enough. v   Computers fast but software construction slow. v   Efficiency. v   Safety. v   Speed. v   Concurrency. v   Scalability. v   Fast development cycle. v   No surprises. v   Multi-core Why Developed a Language ? Google has bi...
5 comments
Read more

What is Java? | Comingfly

What is Java? Developed by Sun Microsystems in the mid-1990s, Java was originally built to be a high-level and object-oriented programming language that looks and feels similar to C++. Along with being extremely popular, Java can implement a wide variety of algorithms, which are very useful to the machine learning community. Java is regarded as one of the most secure programming languages, largely due to its use of bytecode and sandboxes. Java manages to harness much of the power of C++ while overcoming its security issues and overall complexity. But with all of its improvements over C++, Java has a reputation for being slower than many other programming languages. Additionally, as of 2019, Java has implemented commercial licensing for certain business applications, which can be costly.
Post a Comment
Read more