10 Cool Facts on Artificial Intelligence You Should Know| ashokveda.pdfdf2608021
Artificial Intelligence (AI) is a rapidly evolving field with diverse applications and implications for various industries. Understanding the fundamental aspects of AI can provide insights into its current capabilities and future potential. This article explores ten fascinating facts about AI, ranging from its history and development to its practical uses in everyday life. Topics include machine learning, natural language processing, robotics, and the ethical considerations surrounding AI. By delving into these facts, readers can gain a better appreciation of how AI is shaping our world and what it means for the future of technology.
Welcome to Satta Result, the premier destination for enthusiasts of the popular Satta King game. Established with a passion for gaming and a commitment to providing a trustworthy platform, satta Result is dedicated to delivering an exceptional gaming experience to players of all levels.
LinkedIn for You Job Search Webinar July 2024Bruce Bennett
This webinar helps you understand and navigate your way through LinkedIn. Topics covered include learning the many elements of your profile, populating your work experience history, and understanding why a profile is more than just a resume. You will be able to identify the different features available on LinkedIn and where to focus your attention. We will teach how to create a job search agent on LinkedIn and explore job applications on LinkedIn.
Explore AI in Entertainment|ashokveda.pdfdf2608021
Explore the fascinating world of AI in entertainment and discover how artificial intelligence is transforming the film, music, gaming, and streaming industries. Learn about AI-driven special effects, personalized content recommendations, music composition, and interactive gaming experiences. Understand the impact of machine learning and deep learning on content creation, audience engagement, and the future of entertainment.
LinkedIn - Strategic Guidelines July 2024Bruce Bennett
LinkedIn is a powerful tool for networking, researching, and marketing yourself to clients and employers. This session teaches strategic practices for building your LinkedIn internet presence and marketing yourself. The use of # and @ symbols is covered as well as going mobile with the LinkedIn app.
Alberta’s Online Edge: Mastering Office Administration from HomeEvolve Dental Academy
In today’s digital era, the demand for skilled office administrators continues to rise, and Alberta, Canada, offers a unique opportunity to master office administration from the comfort of your home through online courses. This article aims to explore the benefits, opportunities, and insights into pursuing an online office administration course in Alberta, providing valuable information for individuals seeking to embark on a fulfilling career in this field.One of the primary advantages of pursuing an office administration course online in Alberta is the unparalleled flexibility and convenience it offers.
Discover how our Talent Sourcing Consultants at Pariti.io excel in connecting companies with top-tier professionals. Benefit from personalized strategies tailored to your hiring needs and industry requirements.
Certified Information Technology Professional CITP.pdfGAFM ACADEMY
The Certified Information Technology Professional (CITP) is a gold-standard certification accredited by The Global Academy of Finance and Management ®. Earning the CITP designation demonstrates that you have skills and experience in information technology management, project management, information security, risk management, business communication, and leadership management skills.
https://shorturl.at/cES36
https://shorturl.at/Blkrl
Success in the Academic Job Market for Management ScholarsMagdalenaPlesa1
This presentation provides PhD students with essential resources when starting their academic job market search. It includes information on how to craft an academic CV, the timeline for jobs, what to include in job talk presentations and other components of your academic portfolio.
The science of resumes, the "eyes" have it.
A subset of notes from my first book on resumes: Resume Psychology.
The goal of any resume should be an offer, not an interview.
Using this information will make your resume easier to read given what we know about how the eyes process text and the impact of the ATS.
We review very the origins of Resume Psychology.
How "expertise" beats "experience."
The psychology of the "offer" mindset.
This accomplished by making the resume easy to read.
We do these things because there are so many variables we cannot control or know when submitting a resume. RP allows us to avoid or improve these variables. (the things we don't know, that we don't know).
The hardest thing to understand is the eyes will gravitate to the white-space, control the white space and you control where the eye goes to read, skim or scan text.
Make that text relevant to the opening and the reader will be more inclined to "feeling" the need to hire you instead of only interviewing you.
We get into the inter-puplllary distance (IPD), eye-span and fixation points. Things graphic designers understand and apply it to the resume.
We discuss the fixation point and align the resume text to leverage that detail, instead of ignoring it.
We also review which areas of the resume to place your strongest content to maximize your presentation.
We discuss readability rules to follow.
We discuss
- the 3-Rs of resumes.
- the 4-C's of resumes
- the challenge of Serif Fonts
- TMI
- Kiss of Death
- Word classifications to avoid
- Layouts to re-consider & Avoid
- Font features to AVOID.
We also review testing the resume for being copy-paste friendly.
How to brain-storm resume content.
Learning to love numbers even if you hate math and how to speak to numbers with any experience.
We share a list of things to leave off the resume that impact its readability once inside the ATS.
My name is Dirk Spencer. Recruiter. Author. Speaker.
My books on resumes and origami are published in 200 countries through Amazon Worldwide.
My resume books include:
- Resume Psychology
- The Candy Maker
- Resume Keywords
My presentations review resumes, social media, LinkedIn and I have spoken at multiple ecumenical groups from Dallas to Denver.
May something here help you find your way to a better opportunity.
To your best resume ever,
Dirk Spencer
4. If and else
The simplest form of flow control is conditional execution using if.
if takes a logical value (more precisely, a logical vector of length one) and
executes the next statement only
if that value is TRUE:
if(TRUE) message("It was true!")
## It was true!
if(FALSE) message("It wasn't true!")
Missing values aren’t allowed to be passed to if; doing so throws an error: if(NA)
message("Who knows if it was true?")
## Error: missing value where TRUE/FALSE needed Where you may have a missing
value, you should test for it using is.na:
if(is.na(NA)) message("The value is missing!")
## The value is missing!
6. a <- 33
b <- 33
if (b > a) {
print("b is greater than a")
} else if (a == b) {
print ("a and b are equal")
}
a <- 200
b <- 33
if (b > a) {
print("b is greater than a")
} else if (a == b) {
print("a and b are equal")
} else {
print("a is greater than b")
}
7. x <- 41
if (x > 10) {
print("Above ten")
if (x > 20) {
print("and also above 20!")
} else {
print("but not above 20.")
}
} else {
print("below 10.")
}
[1] "Above ten"
[1] "and also above 20!"
9. Loop
There are three kinds of loops in R:
Repeat
While, and for
they can still come in handy for repeatedly executing code
Repeat:
i<-0
repeat
{
print(i)
i<-i+1
if(i>=3)
break
}
12. Functions
A function is a block of code which only runs when
it is called.
You can pass data, known as parameters, into a
function.
A function can return data as a result.
13. Creating and Calling Function in R
In order to understand functions better, let’s take a look
at what they consist of.
Typing the name of a function shows you the code that
runs when you call it.
The terms "parameter" and "argument" can be used for the
same thing: information that are passed into a function.
From a function's perspective:
A parameter is the variable listed inside the parentheses
in the function definition.
An argument is the value that is sent to the function when
it is called.
15. Passing Functions to and from Other
Functions
Functions can be used just like other variable
types, so we can pass them as arguments to other
functions, and return them from functions.
One common example of a function that takes
another function as an argument is do.call.
do.call(function(x, y) x + y, list(1:5, 5:1))
## [1] 6 6 6 6 6
16. do.call()
#create three data frames
df1 <- data.frame(team=c('A', 'B', 'C'), points=c(22, 27, 38))
df2 <- data.frame(team=c('D', 'E', 'F'), points=c(22, 14, 20))
df3 <- data.frame(team=c('G', 'H', 'I'), points=c(11, 15, 18))
#place three data frames into list
df_list <- list(df1, df2, df3)
#row bind together all three data frames
do.call(rbind, df_list)
17. Variable Scope
A variable’s scope is the set of places from which you can see the variable.
For example, when you define a variable inside a function, the rest of the
statements in that function will have access to that variable.
In R subfunctions will also have access to that variable.
In this next example, the function f takes a variable x and passes it to the
function g. f also defines a variable y, which is within the scope of g, since g
is a sub‐ function of f.
18. So, even though y isn’t defined inside g, the example works:
f <- function(x)
{
y <- 1
g <- function(x)
{
(x + y) / 2 #y is used, but is not a formal argument of g }
g(x)
}
f(sqrt(5)) #It works! y is magically found in the environment of f
## [1] 1.618
19. String Manipulation
String manipulation basically refers to the process of
handling and analyzing strings.
It involves various operations concerned with
modification and parsing of strings to use and change its
data.
Paste:
str <- paste(c(1:3), "4", sep = ":")
print (str)
## "1:4" "2:4" "3:4"
Concatenation:
# Concatenation using cat() function
str <- cat("learn", "code", "tech", sep = ":")
print (str)
## learn:code:tech
21. Loading and Packages
R is not limited to the code provided by the R Core Team.
It is very much a community effort, and
there are thousands of add-on packages available to
extend it.
The majority of R packages are currently installed in an
online repository called CRAN (the Comprehensive R
Archive Network1)
which is maintained by the R Core Team. Installing and
using these add-on packages is an important part of the R
experience
22. Loading Packages
To load a package that is already installed on your
machine, you call the library function
We can load it with the library function:
library(lattice)
the functions provided by lattice. For example,
displays a fancy dot plot of the famous Immer’s barley
dataset:
dotplot(
variety ~ yield | site,
data = barley,
groups = year
)
23. Scatter Plot
A "scatter plot" is a type of plot used to display the relationship between two
numerical variables, and plots one dot for each observation.
It needs two vectors of same length, one for the x-axis (horizontal) and one
for the y-axis (vertical):
Example
x <- c(5,7,8,7,2,2,9,4,11,12,9,6)
y <- c(99,86,87,88,111,103,87,94,78,77,85,86)
plot(x, y)