It was created by Guido van Rossum who is known as the godfather of “Python”.Python is a popular programming language because of its simplicity, ease of use, open-source licensing and accessibility — the foundation of its renowned community which provides great support and help in creating tons of packages, tutorials, and sample programs.Python can be used to develop a wide variety of applications — ranging from Web, Desktop GUI based programs/applications to science and mathematics programs, and Machine learning and other big data computing systems.Let’s explore the use of Python in Machine Learning, Data Science and Data Engineering.Machine LearningMachine learning is a relatively new and evolving system development paradigm that has quickly become a mandatory requirement for companies and programmers to understand and use.
See our previous article on Machine Learning for the background.
This is because of its extensive and mature collection of mathematics and statistics libraries, extensibility, ease of use and wide adoption within the scientific community.
As a result, Python has become the recommended programming language for machine learning systems development.Data ScienceData science combines cutting edge compute and storage technologies with data representation and transformation algorithms and scientific methodology to develop solutions for a variety of complex data analysis problems encompassing raw and structured data in any format.
A Data Scientist possesses knowledge of solutions to various classes of data-oriented problems .. and expertise in applying the necessary algorithms, statistics, and mathematic models, to create the required solutions.
These requirements drive the development of data platforms that leverage complex data extraction, loading, and transformation to deliver structured datasets that allow the Data Scientist to focus on solving the business problem.
By implementing RPA, businesses can automate repetitive and mundane tasks.
RPA could represent the first step towards true intelligent automation.
In its simplest form, RPA is the automatic out-of-office message that your email software sends.
If there are clear rules as to what constitutes bad data, RPA can filter out that bad data much more efficiently than humans.Data EntryOne of the most far-reaching applications of RPA is that of data entry.
An RPA bot can read original forms using optical character recognition (OCR) and then “key” the data into an application.
This would be faster than a human could key the data, and it would be more accurate.The Benefits of Robotic Process AutomationThe benefits of RPA to businesses are many.
To understand how AI bots can be used in business, we must first consider what bots are and what the capabilities of AI are.
The terms bots, chatbots, and AI are often used interchangeably.
The first chatbot was developed by Joseph Weizenbaum in 1994.
Even so, its available responses were limited to a very small number of keywords.
Both Siri and Alexa learn from their mistakes.
AI bots have many potential benefits for all types of businesses:
We are, however, at the dawn of the age of intelligent computer programs.To understand how AI bots can be used in business, we must first consider what bots are and what the capabilities of AI are.
The terms bots, chatbots, and AI are often used interchangeably.
The first chatbot was developed by Joseph Weizenbaum in 1994.
Even so, its available responses were limited to a very small number of keywords.What Is AI?Artificial Intelligence “AI” refers to a computer program that can learn.
Both Siri and Alexa learn from their mistakes.
AI bots have many potential benefits for all types of businesses:Available 24 x 7AI bots never tire, never take breaks, and they never need a vacation.
To understand how AI bots can be used in business, we must first consider what bots are and what the capabilities of AI are.
The terms bots, chatbots, and AI are often used interchangeably.
The first chatbot was developed by Joseph Weizenbaum in 1994.
Even so, its available responses were limited to a very small number of keywords.
Both Siri and Alexa learn from their mistakes.
AI bots have many potential benefits for all types of businesses:
It was created by Guido van Rossum who is known as the godfather of “Python”.Python is a popular programming language because of its simplicity, ease of use, open-source licensing and accessibility — the foundation of its renowned community which provides great support and help in creating tons of packages, tutorials, and sample programs.Python can be used to develop a wide variety of applications — ranging from Web, Desktop GUI based programs/applications to science and mathematics programs, and Machine learning and other big data computing systems.Let’s explore the use of Python in Machine Learning, Data Science and Data Engineering.Machine LearningMachine learning is a relatively new and evolving system development paradigm that has quickly become a mandatory requirement for companies and programmers to understand and use.
See our previous article on Machine Learning for the background.
This is because of its extensive and mature collection of mathematics and statistics libraries, extensibility, ease of use and wide adoption within the scientific community.
As a result, Python has become the recommended programming language for machine learning systems development.Data ScienceData science combines cutting edge compute and storage technologies with data representation and transformation algorithms and scientific methodology to develop solutions for a variety of complex data analysis problems encompassing raw and structured data in any format.
A Data Scientist possesses knowledge of solutions to various classes of data-oriented problems .. and expertise in applying the necessary algorithms, statistics, and mathematic models, to create the required solutions.
These requirements drive the development of data platforms that leverage complex data extraction, loading, and transformation to deliver structured datasets that allow the Data Scientist to focus on solving the business problem.
By implementing RPA, businesses can automate repetitive and mundane tasks.
RPA could represent the first step towards true intelligent automation.
In its simplest form, RPA is the automatic out-of-office message that your email software sends.
If there are clear rules as to what constitutes bad data, RPA can filter out that bad data much more efficiently than humans.Data EntryOne of the most far-reaching applications of RPA is that of data entry.
An RPA bot can read original forms using optical character recognition (OCR) and then “key” the data into an application.
This would be faster than a human could key the data, and it would be more accurate.The Benefits of Robotic Process AutomationThe benefits of RPA to businesses are many.
We are, however, at the dawn of the age of intelligent computer programs.To understand how AI bots can be used in business, we must first consider what bots are and what the capabilities of AI are.
The terms bots, chatbots, and AI are often used interchangeably.
The first chatbot was developed by Joseph Weizenbaum in 1994.
Even so, its available responses were limited to a very small number of keywords.What Is AI?Artificial Intelligence “AI” refers to a computer program that can learn.
Both Siri and Alexa learn from their mistakes.
AI bots have many potential benefits for all types of businesses:Available 24 x 7AI bots never tire, never take breaks, and they never need a vacation.