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INSIDE THE SERIES
The key features of the series have been designed to ensure better
learning and assessment. Steps for Effective Time Management
Following steps help in effective time management:
Learning Resources
correctly
UNIT 1 7. Plan ahead 1. Set goals
2. Prioritize
wisely
COMMUNICATION SKILLS-III
6.
Learning Outcomes: Remove non Time Management
Tips
3. Set a
It provides an overview of the essential time limit At a Glance:
tasks
unit/chapter contents. This section provides a summary
4. Take
5. Organize
yourself breaks
between
tasks of the chapter.
Learning Outcomes
• Communication—An Introduction • 7Cs of Communication At a Glance
• Factors Affecting Communication • Methods of Communication
• Communication Styles • Basics of Pronunciation • Analysing your strengths and weaknesses is helpful.
An analysis of strengths and weaknesses begins with knowing and understanding yourself first.
• Parts of Speech • Greetings • How Does a Neural Network Work?
• Asking Questions • Discussing Family • Values are the principles or standards of action; your own judgment about what is important in your life.
• Habits and Routines The node will assign a number called "weight" to each of the incoming connections. When the network is operational,
Knowing ‘yourself’ means you understand who you are, what you like or do not like, what your beliefs or
•
the node gets various data elements, varied numbers on each of its connections, and multiplies them by the appropriate
opinions are, what is your background, what you are good or bad at.
weights. • Strength or ability is what you do well and are good at.
You probably hear people talking about communication all the time. Everyone needs it and wants it, but what exactly is To learn, an artificial neural network must first understand what it has done incorrectly and what it is doing correctly.
Weakness, also known as "area for improvement" is what you don't do well and what you're not good at.
•
communication? This is referred to as feedback. Feedback is how we learn what is correct and incorrect, and it is also what an artificial
•
Grooming is the process of giving oneself a neat, orderly and clean appearance.
In this unit, we will learn about communication, methods of communication and different types of communication styles. neural network requires to learn. This is where the similarities to the human brain begin to emerge.
Next, you will learn about basics of writing styles. • The way you dress and groom can send a message that you are a confident and smart person.
AI Game: For example, when learning to play tennis, you learn that if you hit the ball too hard, it will go out of the court and
Personal hygiene is the habit or practice of keeping clean.
•
•
Cleanliness helps us maintain our health and spirit.
Communication—An Introduction you will lose a point; if you don't hit the ball hard enough, it will not go over the net; but if you hit it perfectly, it will
It contains an interesting game or activity go onto the opposite side of the court and you will win a point. This is a famous example of feedback in which you
•
A team is a group of people who work together to achieve a common goal.
This is the basic difference between traditional programming and machine learning. In traditional programming, one
Communication is the ‘sharing’ of information between two or more people or within a group to achieve a common either lose or gain a point. Neural networks learn in the same way that the brain does, using a feedback mechanism
Networking means getting to know people, staying in touch over time and using knowledge or skills to help
•
has to manually formulate the code rules while in Machine Learning, algorithms automatically formulate the rules
understanding. The word ‘communication’ comes from the Latin word ‘communicare’, which means to share. The ability
for the students to try on their own or with known as back-propagation (also called "backprop").
each other.
from the data. Let us understand using an example. Suppose, you feed in the following details in a machine:
to clearly communicate and share thoughts, feelings and ideas will help you in all your dealings with others. Speaking This is when you compare the network's output to the expected output and modify the weights of the connections
Self-motivation is what drives us to achieve our goals, makes us feel happy and improve the quality of our
•
1. Details of customers and their transactions as input and,
more than one language can help you communicate well with people around the world. Communication skills are
their classmates to learn how the game between the neurons in the network based on the difference between the outputs. This is accomplished by moving
lives.
required to:
2. The observed output—if the customers churned or not in the past, then the machine algorithm will infer patterns
Goals are a set of dreams with an achievable deadline.
•
• Inform: for example, announcing the latest assessment guidelines given by CBSE.
from this data and create the program which will predict if a customer would churn or not. (Customer churn occurs
mechanics work while having fun. backward from the output units through the hidden neurons to the input neurons. Back-propagation causes the
•
Goal setting is finding and listing your goals and then planning how to achieve them.
network to learn over time by shrinking the gap between the output and the intended output until the two exactly
when customers or subscribers stop doing business with a company or service.)
• Influence: for example, negotiating with a shopkeeper for a discount. match, at which point the neural network learns the proper output.
•
Time management is the ability to plan and control how you spend your time well and do whatever you
• Express feelings: for example, say that you are enthusiastic about your success or an assigned task. Experiential Learning want.
The Communication Process GAME 01 Auto Draw Input layer Hidden layers
Self-Management Skills-III
Communication is the process of transmission of an appropriate message from a sender to a receiver through a Output layer 47
This experiment is based on the computer vision domain of AI. It identifies the patterns that you draw
transmission channel in a proper format. The communication process helps in sharing of a common meaning between
and suggests the related images.
the sender and the receiver. Let us study all these elements in detail.
To play the game, visit the following link on any computing device with speakers:
Difference in
• Sender: Can be any person, group or an organisation that initiates the process of communication. The sender’s knowledge, Video Session:
https://www.autodraw.com/
experiences and skills influence the quality of the message. desired values
Click on the Start Drawing button. This section contains a link of the
Communication Skills-III
19
Select the AutoDraw tool from the toolbar at the left side and draw an object. Suppose, you want to draw
a bicycle. The experiment displays the suggestions according to your drawn object at the top of the screen. video related to the topic for better
The AI technology used in this experiment will give you the suggestions.
understanding of the concept.
Backprop output layer
Experiential Learning
Video Session
Scan the QR code OR visit the following link to watch the video: Neural Networks
AI Glossary: explained in 7 minutes
https://www.youtube.com/watch?v=vpOLiDyhNUA
This section contains What you learned from this video?
Select the appropriate object from the suggestions. The selected object will be drawn.
definition of important AI terms.
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AI Innovators:
It presents information about the
AI Bias: It is a phenomenon which occurs when algorithm results are systematically biased against
a certain gender, language, race, wealth, etc. pioneers in the field of AI.
Chatbot: It is an AI application that can mimic a real conversation with a user in their natural
language.
Cognitive Computing: It refers to individual technologies that perform specific tasks to enable
106 human intelligence.
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Conflict: It can be defined as a clash between two opposing forces that creates the narrative
thread for a story.
Correlation: It is a statistical method that indicates whether a pair of variables has a linear Pooja Rao
relationship and will change together. Pooja Rao is the co-founder and head of research and
Clustering: It is an unsupervised machine learning technique that automatically divides the data development of Qure.ai, a business that employs AI to
Brainy Fact: make healthcare more easily available and more reasonably
Cartesian Product
into clusters or groups of similar elements.
The Cartesian product of two sets A and B, denoted by A × B, is the set of all ordered A priced. Qure.ai offers an automated interpretation of
It presents an interesting fact relevant X-rays, CTSs, and ultrasounds in an effort to facilitate
Deep Learning: It is a subset of machine learning based on neural networks that permit a machine
pairs where the first element is in A and the second element is in B. For example:
to train itself to perform a task.
A = {1,2,3} and B = {2,3}
to the topic or the chapters. quicker diagnosis and quick therapies.
Then A x B = {(1,2), (1,3), (2,2), (2,3), (3,2), (3,3)}. Over 40 countries are currently using the AI imaging
Design Thinking: It is a process to solve problems creatively by putting consumers' needs first.
software that Pooja's business developed and oversaw its
Machine Learning: It is a subset of AI that includes techniques that enable machines to improve conceptualization and deployment.
at performing tasks with experience.
Brainy Fact Pooja has extensive technical knowledge in the Pooja Rao
Natural Language Processing (NLP): It is an area of artificial intelligence that employs natural application of machine learning methods to numerous types of medical data, including
Set theory was created in 1874 by the German Mathematician Georg Cantor. Cantor defined infinite and well- medical imaging, genomics, etc. She worked in data science before to joining Qure.ai.
language for interaction between computers and humans.
ordered sets and proved that there are more real numbers than natural numbers. In addition to having medical training, Pooja has a PhD in neuroscience from the Max Planck
Relational Algebra: It is a set of algebraic operators and rules used to manipulate relational Research School in Gottingen, Germany.
tables to generate the required information.
Regression: It is a Machine Learning algorithm used to analyse the relationship among dependent
Introduction to Data Table Joins
(target) and independent (predictor) variables.
You must have noted by now that relational databases are based almost entirely upon set theory. Let us now study Jürgen Schmidhuber
joins. A JOIN is used to combine rows from two or more tables, based on a related/common column between them.
Sentiment Analysis: It is also called Opinion Mining or Emotion AI, uses NLP to determine
whether data is positive, negative, or neutral.
Joining tables is essentially a Cartesian product followed by a selection criterion. Schmidhuber is a German national and he is the
co-founder and chief scientist of Nnaisense. He
Structured Data: It is the type of data which we interact and work with every day.
Different Types of Joins is known as the “Father of Self-Aware Robots”
There are 4 types of joins: for developing the mechanisms that allow us
Unstructured Data: It is the type of data which neither possesses any fixed data type nor the size to communicate to our phones. At present
is fixed.
Inner Join his research is mainly centered at developing
When INNER JOIN keyword is used, those records are selected that have matching values 335 artificial neural networks that are equivalent to,
AI Glossary
in both the tables. In an inner join, only those tuples that satisfy the matching condition are Left Right and eventually surpass, the human brain.
included, while the remaining tuples are excluded. Table Table
Syntax: SELECT table1.column1, table1.column2, table2.column1, ..... Jürgen Schmidhuber
FROM table1
INNER JOIN table2
ON table1.matching_column = table2.matching_column;
where table1: First table, table2: Second table and matching_column: Column common to both the tables.
Left Outer Join
This join returns all records from the left table, and the matching records from the right
table. Left Right
Syntax: SELECT table1.column1, table1.column2, table2.column1, .... Table Table 360 Touchpad Artificial Intelligence (Ver. 2.0)-XI
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FROM table1
LEFT JOIN table2
ON table1.matching_column = table2.matching_column;
Right Outer Join Left Right
It returns all records from the right table, and the matching records from the left table. Table Table
Syntax: SELECT table1.column1, table1.column2, table2.column1, ....
FROM table1
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