Simple voice communication with machines
Personal computers
Interactive answering machines
Voice dialing of mobile telephones
Vehicle systems
Can access online as well as stored information
Certified Associate in Python Programming certification focuses on the Object-Oriented Programming approach to Python, and shows that the individual is familiar with the more advanced aspects of programming, including the essentials of OOP, the essentials of modules and packages, the exception handling mechanism in OOP, advanced operations on strings, list comprehensions, lambdas, generators, closures, and file processing.
PCAP™ certification gives its holders confidence in their programming skills, helps them stand out in the job market, and gives them a head start on preparing for and advancing to the professional level.
Python is the programming language that opens more doors than any other, and the more you understand Python, the more you can do in the 21st Century. With a solid knowledge of Python, you can work in a multitude of jobs and a multitude of industries.
Python is either the highest-paid, or one of the highest-paid languages in all parts of the world today, and the salaries range between $90,000 and $130,000 a year (source: SalaryExpert.com).
With the ever-increasing reliance on the Internet, and with Python playing an ever-growing role, the salary of the average Python programmer is almost surely to rise.
Currently, there are 100,000+ unfulfilled Python jobs around the world, and the supply of qualified Python programmers is unable to match the demand.
Certified Associate in Python Programming Online Training
This intermediate Certified Associate in Python Programming training prepares learners to take the PCAP-31-03 exam, which is the one exam required to earn the PCAP certification.
Python is one of the simplest, most accessible programming languages around today, and it's hard to imagine a developer who won't benefit from knowing it. Python always seems to show up everywhere.
Developers who work with data scientists and researchers rely on the hundreds of scientific libraries to extend Python for their work. Developers working with tech startups love Python's ease of use and scalability -- perfect for building simple solutions that you know can explode when the company does. No matter where you develop, or how, learning Python will either accelerate your career, or start it on the right foot.
For anyone who manages developers, this Python training can be used for PCAP-31-03 exam prep, onboarding new developers, individual or team training plans, or as a Linux Foundation reference resource.
PCAP: What You Need to Know
This Python training covers PCAP-31-03 exam objectives, including these topics:
Recognizing basic concepts of Python: indenting, compilation, operators, and expressions
Coding with the Python language to accomplish basic programming tasks
Incorporating conditional execution, loops, Python syntax and semantics into code
Writing good code that leverages object-oriented programming
Defining and invoking your own functions and generators
Who Should Take PCAP Training?
Certified Associate in Python Programming certification focuses on the Object-Oriented Programming approach to Python, and shows that the individual is familiar with the more advanced aspects of programming, including the essentials of OOP, the essentials of modules and packages, the exception handling mechanism in OOP, advanced operations on strings, list comprehensions, lambdas, generators, closures, and file processing.
PCAP™ certification gives its holders confidence in their programming skills, helps them stand out in the job market, and gives them a head start on preparing for and advancing to the professional level.
Python is the programming language that opens more doors than any other, and the more you understand Python, the more you can do in the 21st Century. With a solid knowledge of Python, you can work in a multitude of jobs and a multitude of industries.
Python is either the highest-paid, or one of the highest-paid languages in all parts of the world today, and the salaries range between $90,000 and $130,000 a year (source: SalaryExpert.com).
With the ever-increasing reliance on the Internet, and with Python playing an ever-growing role, the salary of the average Python programmer is almost surely to rise.
Currently, there are 100,000+ unfulfilled Python jobs around the world, and the supply of qualified Python programmers is unable to match the demand.
Certified Associate in Python Programming Online Training
This intermediate Certified Associate in Python Programming training prepares learners to take the PCAP-31-03 exam, which is the one exam required to earn the PCAP certification.
Python is one of the simplest, most accessible programming languages around today, and it's hard to imagine a developer who won't benefit from knowing it. Python always seems to show up everywhere.
Developers who work with data scientists and researchers rely on the hundreds of scientific libraries to extend Python for their work. Developers working with tech startups love Python's ease of use and scalability -- perfect for building simple solutions that you know can explode when the company does. No matter where you develop, or how, learning Python will either accelerate your career, or start it on the right foot.
For anyone who manages developers, this Python training can be used for PCAP-31-03 exam prep, onboarding new developers, individual or team training plans, or as a Linux Foundation reference resource.
PCAP: What You Need to Know
This Python training covers PCAP-31-03 exam objectives, including these topics:
Recognizing basic concepts of Python: indenting, compilation, operators, and expressions
Coding with the Python language to accomplish basic programming tasks
Incorporating conditional execution, loops, Python syntax and semantics into code
Writing good code that leverages object-oriented programming
Defining and invoking your own functions and generators
Who Should Take PCAP Training?
Hello beautiful people, i hope you all are doing great. Here I'm sharing a short PPT on Artificial Intelligence. if you found it helpful. say thanks it's appreciated.
Language translators Of Programming in Computer scienceRaianaTabitha
Computer is just a dumb machine made up of different electronic components. It is like a box which cannot do anything by itself. It is the user who tells the computer “what it has to do?”
Why Programming?
If we need our computer to perform some task, we first have to teach the computer in detail “how it will accomplish ??
Why Programming? Programming is more about problem solving skills than writing the code itself.
•Programming teaches you how to understand, analyze and solve the problems. It enhances your analytical reasoning abilities and helps you cope with daily real life problems as well.
•Hence learning to program is important because it develops analytical and problem solving abilities.
Programming Language
12
•A programming language is an artificial language designed to communicate instructions to a computer.
Programming Language
A formal computer language that includes a controlled vocabulary and set of grammatical rules designed to instruct a computer how to perform specific tasks. Programming languages are used to create programs to control the behavior of a machine or to express algorithms. The description of a programming language is usually split into two components: syntax (form) and semantics (meaning).
•A programming language is a notation for writing
computer programming language, any of various languages for expressing a set of detailed instructions for a digital computer. Such instructions can be executed directly when they are in the computer manufacturer-specific numerical form known as machine language, after a simple substitution process when expressed in a corresponding assembly language, or after translation from some “higher-level” language. Although there are many computer languages, relatively few are widely used.
Language types
Machine and assembly languages
A machine language consists of the numeric codes for the operations that a particular computer can execute directly. The codes are strings of 0s and 1s, or binary digits (“bits”), which are frequently converted both from and to hexadecimal (base 16) for human viewing and modification. Machine language instructions typically use some bits to represent operations, such as addition, and some to represent operands, or perhaps the location of the next instruction. Machine language is difficult to read and write, since it does not resemble conventional mathematical notation or human language, and its codes vary from computer to computer.
Assembly language is one level above machine language. It uses short mnemonic codes for instructions and allows the programmer to introduce names for blocks of memory that hold data. One might thus write “add pay, total” instead of “0110101100101000” for an instruction that adds two numbers.
Algorithmic languages
Algorithmic languages are designed to express mathematical or symbolic computations. They can express algebraic operations in notation similar to mathematics and allows it.
Understand the need to facilitate an effective dialogue between humans and machines.
Describe how the user-interface can be designed for effective communication with the user.
Explain the need to design systems which are appropriate to users at all levels and in different environments.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Hello beautiful people, i hope you all are doing great. Here I'm sharing a short PPT on Artificial Intelligence. if you found it helpful. say thanks it's appreciated.
Language translators Of Programming in Computer scienceRaianaTabitha
Computer is just a dumb machine made up of different electronic components. It is like a box which cannot do anything by itself. It is the user who tells the computer “what it has to do?”
Why Programming?
If we need our computer to perform some task, we first have to teach the computer in detail “how it will accomplish ??
Why Programming? Programming is more about problem solving skills than writing the code itself.
•Programming teaches you how to understand, analyze and solve the problems. It enhances your analytical reasoning abilities and helps you cope with daily real life problems as well.
•Hence learning to program is important because it develops analytical and problem solving abilities.
Programming Language
12
•A programming language is an artificial language designed to communicate instructions to a computer.
Programming Language
A formal computer language that includes a controlled vocabulary and set of grammatical rules designed to instruct a computer how to perform specific tasks. Programming languages are used to create programs to control the behavior of a machine or to express algorithms. The description of a programming language is usually split into two components: syntax (form) and semantics (meaning).
•A programming language is a notation for writing
computer programming language, any of various languages for expressing a set of detailed instructions for a digital computer. Such instructions can be executed directly when they are in the computer manufacturer-specific numerical form known as machine language, after a simple substitution process when expressed in a corresponding assembly language, or after translation from some “higher-level” language. Although there are many computer languages, relatively few are widely used.
Language types
Machine and assembly languages
A machine language consists of the numeric codes for the operations that a particular computer can execute directly. The codes are strings of 0s and 1s, or binary digits (“bits”), which are frequently converted both from and to hexadecimal (base 16) for human viewing and modification. Machine language instructions typically use some bits to represent operations, such as addition, and some to represent operands, or perhaps the location of the next instruction. Machine language is difficult to read and write, since it does not resemble conventional mathematical notation or human language, and its codes vary from computer to computer.
Assembly language is one level above machine language. It uses short mnemonic codes for instructions and allows the programmer to introduce names for blocks of memory that hold data. One might thus write “add pay, total” instead of “0110101100101000” for an instruction that adds two numbers.
Algorithmic languages
Algorithmic languages are designed to express mathematical or symbolic computations. They can express algebraic operations in notation similar to mathematics and allows it.
Understand the need to facilitate an effective dialogue between humans and machines.
Describe how the user-interface can be designed for effective communication with the user.
Explain the need to design systems which are appropriate to users at all levels and in different environments.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
2. What is Natural Language Processing?
• NLP is an interdisciplinary field that uses computational methods
to:
o Investigate the properties of written human language and
model the cognitive mechanisms underlying the understanding
and production of written language.
o Develop novel practical applications involving the intelligent
processing of written human language by computer.
3. What is NLP? (cont.)
• NLP plays a big part in Machine learning techniques:
o Automating the construction and adaptation of machine
dictionaries
o Modeling human agents' desires and beliefs
Essential component of NLP
Closer to AI
• We will focus on two main types of NLP:
o Human-Computer Dialogue Systems
o Machine Translation
4. Human-Computer Dialogue Systems
• Usually with the computer modelling a human dialogue participant
• Will be able:
o To converse in similar linguistic style
o Discuss the topic
o Hopefully teach
5. Current Capabilities of Dialogue
Systems
• Simple voice communication with machines
o Personal computers
o Interactive answering machines
o Voice dialing of mobile telephones
o Vehicle systems
o Can access online as well as stored information
• Currently working to improve
6. The Future of H-C Dialogue Systems
• The final end result of human computer dialogue systems:
o Seamless spoken interaction between a computer and a
human
• This would be a major component of making an AI that can pass
the Turing Test
• Be able to have a computer function as a teacher
7. Human Computer Dialogue in Fiction
• Halo's Cortana AI
o Made from models of a real human brain
o Made to run the ship
o Made very human conversations
• Ender's Game series: Jane
o Made from “Philotic Connection"
o Human conversation
8. Problems of Human-Computer
Dialogue
• At the moment, most common computer dialogue systems (call
systems, chatter bots, etc.) cannot handle arbitrary input
o In many cases, the computer can only respond to "expected"
speech
o Call systems often compensate with "Sorry, I didn't get that,"
when something unexpected is said.
9. Problems of Human-Computer
Dialogue
• Computers need to be able to learn and process colloquial speech
• Needed to understand informal speakers:
o Understanding varied responses for call systems
o Accounting for variations in spoken numbers
• Processing colloquialisms is also necessary for seamless dialogue,
where the computer must avoid sounding too formal
o John Connor: "No, no, no, no. You gotta listen to the way people
talk. You don't say 'affirmative,' or [stuff] like that. You say 'no
problemo.' "
10. Successes of Human-Computer
Dialogue
• So far, human-computer dialogue has been most successful in
applications where information about a specific topic is sought
from the computer.
o Electronic calling systems: company-specific
o Travel agents: specific to an airline or destination
• However, more complex systems of human-computer dialogue
have been produced which can interpret more varied input.
o Physics tutoring system (ITSPOKE) which can analyze and
explain errors in the response to a physics problem.
o Allows for more complex input than "Yes," "No," or "Flight UA-
93"
• These still cannot compare to true human-human dialogue.
11. Machine Translation
• Important for:
o accessing information in a foreign language
o communication with speakers of other languages
• The majority of documents on the world wide web are in
languages other than English
12. Statistical Translation
• Rule based
• Works relatively well with large sets of data
• Used probability to translate text
• Natural translations
• Google
13. Example Based Translation
• Converts "parallel" lines of text between language
• Only accurate for simple lines
• Minimal pairs are easy
• Analogy based
14. Paraphrasing
• Takes words and makes them simpler automatically
• For example in Spanish conjugated words like usado may be
changed to usar
15. Future of Machine Translation
• Goal:
o Aim to be able to flawlessly translate languages
• Link Human-Computer Dialogue and Machine Translation
• Have someone be able to talk in one language to a computer,
translate for another person
• Translated Video Chat
16. Machine Translation in Fiction
• Star Wars: C-3P0
o Interpreter
o Could hear and translate alien languages
o Final goal of machine translation
• Star Trek: Universal Translator
o Computer can seamlessly translate alien languages
17. Problems
• Works well only with predictable texts.
• Doesn't work well with domains where people want translation
the most:
o spontaneous conversations
o in person
o on the telephone
o and on the Internet.
18. Problems
• Computers can't deal with ambiguity, syntactic irregularity,
multiple word meanings and the influence of context.
Time flies like an arrow.
Fruit flies like a banana.
• Accurate translation requires an understanding of the text,
situation, and a lot of facts about the world in general.
The box is in the pen.
19. Problems
• The sign is describing a
restaurant (the Chinese
text, 餐厅, means "dining
hall").
• In the process of making
the sign, the producers
tried to translate Chinese
text into English with a
machine translation
system, but the
software didn't work,
producing the error
message,
"Translation Server Error."
• The software's user didn't
know English and thought
the error message was the
translation.
20. Successes
• Product knowledge bases need to be translated into multiple
languages
• Hiring a large multilingual support staff is expensive
• Machine translation is cheaper and accurate with predictable
texts.
• Microsoft, Autodesk, Symantec, and Intel use it.
o Makes customers happy
o Still readable though slightly chunkier than human
translations