►
Description
Click Here to Subscribe: http://xaf.life/35
Websites:
https://xafmarin.com/
https://xari.io
https://www.xafers.training/
http://xafersweekly.com/
Facebook Group
http://xaf.life/4g
Free XAF Support Hour
https://calendly.com/xari/free-xaf-support-hour
A
Things
real,
quick,
hey,
I,
Wanna
Give,
a
couple
I
wanna
appreciate
her
taking
the
time
to
discussion
with
her
and
talking
with
us
about
Maui
and
donate,
especially
in
our
group
that
is
called
platform
with
the
net.
We
have
talked
here
about
everything
in
between
don't
need
related
from
desktop
to
mobile,
like
web
to
iot.
We
have
talked
about
Blazer
about
math
week
about
Maui
Blazer.
We
have
to
talk
about
avalonia.
We
have
talked
about
Uno
platform,
so
this
is
the
perfect
combination.
A
Now
that
we
have
gone
through
all
the
Frameworks
and
now
we're
starting
to
go
and
things
that
we
use
in
there
like
ml.net,
I
wanna
say
that
I
made
Veronica
in
tamarine
Summit.
She
gave
a
great
talk
about
a
AI
as
well
over
there,
then
I
saw
her
again
in
Microsoft
ignite.
She
saved
me
because
I
didn't
know
anyone
over
there,
so
I
saw
her
station
over
there
as
well.
It
was
really
nice
really
good.
A
I
know
that
there
is
a
topic
about
as
the
refresher
intelligence
right
now,
with
GBP
chat
and
with
actual
connective
services
and
machine
learning
and
studio,
and
all
of
those
tools
that
we
have
like
integrate
that
into
our
application.
We
say
great
combination
here
so
Veronica
just
again.
Thank
you.
Please
let
us
know
how
do
you
get
to
be
involved
in
donate
and
in
Ai,
and
then
please
go
for
it
with
the
presentation.
I'm
really
excited,
as
always
feel
free
to
ask
questions,
and
that's
it.
B
B
I'll
talk
a
little
bit
about
Maui
talk
a
little
bit
about
ml.net
and
then
in
the
end,
I'll
reveal
the
answer
to
that
big
question
and
then
I'll
show
you
a
demo,
so
you
can
see
what's
happening
there
and
again
my
name
is
Veronica
galisnikova
I'm
here
you
have
my
Twitter
handle
so
feel.
Free
to
follow
me
on
Twitter
also
feel
free
to
find
me
on
LinkedIn.
B
B
I
am
four
times
Microsoft
MVP
in
AI
I'm,
currently
working
as
a
senior
software
engineer
in
Boston,
Massachusetts
I
started
my
career
as
a
coin,
Insurance
engineer
and
then
I
moved
to
development,
and
it
is
really
convenient
that
I
put
eight
plus
years
there,
because
I
I'm
just
decided
to
stop
counting
at
some
point.
So
it's
gonna
be
eight
plus
forever.
B
Don't
worry
about
it!
I
just
don't
want
to
age
myself,
so
I
think
it's
a
good
option.
I
used
to
work
mostly
with
Microsoft
Technologies,
like
c-sharp.net
I,
obviously
like
all
them
cross-platform
options
there
with
xamarin
xamarin
forms
and
now
with
Maui
and
I,
am
in
love
with
machine
learning
and
artificial
intelligence.
B
So,
although
it's
not
part
of
my
day,
job
I
am
I'm
doing
a
lot
of
research
and
doing
a
lot
of
side
projects
on
my
own
related
to
AI
and
also
recently,
I
started
working
more
with
Java
and
node.js
and
react
and
stuff
like
that.
And
here
you
can
see
my
hobbies
or
dance
and
travel
and
in
Aerial
Fitness.
If
you
have
questions
about
my
hobbies,
we
can
wait
until
the
end
and
then
you
can
ask
all
of
them.
B
B
So,
let's
start
with
a
quick
overview
of
Maui
and
and
just
figure
out
all
together
what
a
Maui
is
and
I
just
want
to
add
a
quick
note
here
that
in
most
of
my
slides
I
have
on
Netflix
or
dotnet6
plus
because.net
sex
is
and
I
I.
Think
most
of
you
know
that
um.net7
is
out.
It's
been
out
for
at
least
a
couple
of
months:
I
think
they
released
it
in
November
if
I'm
not
mistaken,
but
that
Netflix
is
I'm.
B
Gonna
have
long-term
support,
so
you
need
to
have
at
least
that
that
six
for
all
the
benefits
of
Maui,
but
it's
up
to
you
depends
on
your
project.
If
you
want
to
have
latest
and
greatest,
you
can
start
with.net7.
If
you
want
to
have
that
long-term
support,
you
can
start
with
that
ad6
and
it
is
not
out
of
support
and
before
you
actually
start
building
a
new
project
make
sure
that
you
have
a
learn
term
support
version.
B
Unless
you
want
to
have
a
short-term
project
yeah,
but
that's
all
around
about
net
there.
What
is
Maui,
Maui,
is.net
multi-platform,
app
UI.
It
is
a
kind
of
transformation
of
xamarin
xamarin
forms,
special
examinant
forms,
so
using.net6
in
dot
net
Maui.
You
can
create
cross-platform
solutions
for
iOS
Android,
Mac,
OS
Windows.
Also,
if
you
add
Blazer
to
the
mix
with
Maui,
then
you
can
use
Maui
for
web
as
well
with
blazer,
which
is
really
cool.
That
means
you
can
use.net
everywhere,
create
cross-platform,
Solutions,
cross-platform
Solutions.
B
Save
you
a
lot
of
time,
that's
pretty
obvious
and
you
don't
have
to
actually
create
cross-platform
Solutions.
If
you
don't
want
to,
you,
can
pick
just
one
platform
and
benefit
or
use
all
the
benefits
of
dotnet
and
c-sharp
to
develop
all
those
mobile
applications.
Macquares
applications
Windows
applications,
so
you
can
mix
and
match
cross-platform
options
or
just
start
with
one
platform.
And
then,
if
you
need
to
add
other
platforms
later,
you
don't
have
to
rewrite
all
the
code
which
is
really
nice.
B
Okay.
So
how
does
it
work?
I
here?
I
have
a
schema
lots
of
my
images
here:
I
actually
stole
from
somewhere
I.
Officially
tell
you
that
lots
of
those
images
are
coming
from
official
Microsoft
documentation.
Microsoft
documentation
is
great.
I
keep
telling
people
everywhere
that
Microsoft
really
organized
the
documentation.
Well,
a
lot
of
other
companies.
B
They
should
just
yeah,
do
the
same
and
learn
from
Microsoft
how
they
do
their
documentation
because
they
have
really
good
examples.
They
have
good
pictures
that
I
can
use
in
my
presentations
and
then
those
pictures
are
easy
to
understand
and
easy
to
see
what
is
going
on.
Also,
they
have
Microsoft
learn
courses.
B
B
You
are
writing
your
code
once
and
then
it
just
works
in
all
platforms,
so
both
of
them
UI
part
and
the
background
part.
You
are
writing
just
once.
You
can
use
different
libraries
that
are
available
there.
For
example,
if
you
work
with
xamarin,
you
know
about
the
essentials
library
that
provides
connection
to
a
specific
specific
parts
of
mobile
devices,
for
example
like
camera
and
then
text
messaging
and
stuff
like
that.
B
So
now
you
can
use
it
here
as
well,
and
then
you
are
connecting
your
application
code
to
Maui.
So
Don
and
Maui
is
gonna,
be
the
Baseline
of
your
application
and
then
behind
the
scene.
You
will
have
a
specific.net
options
for
Android
iOS,
Mac
OS,
and
you
have
wind
UI
three.
If
you're
gonna
use,
if
you're
gonna
develop
any
Windows
applications
there
again,
you
don't
have
to
use
all
of
them
on
their
separate.net.
B
Sdk
is
for
each
for
each
environment,
so
you
can
mix
and
match
them.
You
can
use
all
of
them
or
if
you
are
truly
creating
cross
platform
solutions
for
different
platforms
or
just
use
one
or
two,
if
you
just
use
it,
maybe
you
are
building
for
Android
and
iOS
and
then
one
level
down
from
there
is
the
dotnet
again
I
have
done
a
six
here
doesn't
have
to
be
six.
B
We
have
the
mono
runtime
again.
If
you
worked
with
xamarin
xamarin
forms,
or
maybe
you've
been
following
that
across
platform
Journey,
you
heard
about
mono
runtime,
it's
a
big
thing,
and
actually
that
is
the
thing
that
can
make
all
your
Solutions
cross-platform
Microsoft
bought
mono
all
the
code
and
runtime
and
stuff
like
that
a
while
ago.
B
So
first
they
created
xamarin
out
of
it
and
then
now
they
put
it
in
the
core
of
dot
net
Maui
and
then
Windows
is
not
part
of
that
Mana
runtime.
So
they
have
that
basically
separate
win32
option
there,
which
is
also
included
in.net,
Base,
Class
Library
there
and
then
below
that
anything
specific
to
platform
for
Android,
iOS,
Mac,
OS
and
windows.
B
B
B
They've
been
working
with
those
cross-platform
solutions
for
quite
some
time,
so
they
have
robbers
and
libraries
that
are
available
for
cross-platform
Solutions.
But
if,
if
it's
something
really
new
or
something
really
specific
to,
for
example,
Android,
then
you
can
always
add
that
layer
there
and
then
create
a
connection
or
get
a
library
specifically
for
iOS.
Maybe
wrote
your
own
Library,
using,
for
example,
for
if
you
use
it.
If
you
write
in
for
Android,
maybe
use
kotlin
or
Java,
then
you
can
export
the
library
create
the
connection
there.
B
Okay,
so
I
kind
of
mentioned
it
a
little
bit
now.
I
want
to
I
want
you
to
pay
extra
attention
to
that
that
you
are
building
a
solution,
you're
building
your
project,
your
app
using.net,
c-sharp
and
different
bindings,
and
then
actually
for
done
that
for
Android
text
takes
advantage
of
just
in
time
and
ahead
of
time,
compilation
on
the
Android
device.
B
Sometimes
it's
really
tricky
to
truly
create
a
cross-platform
option,
same
thing
here:
with.net
for
iOS.
It
does
full
ahead
of
time
compilation
to
produce
an
arm
binary
for
Apple's
App
Store.
So
if
you're
a
mobile
developer,
you
know
that
you
need
that
arm
binary
in
order
to
actually
submit
your
application
to
Apple's
App
Store.
B
So
it
will.
You
are
again,
your
application
will
run
natively
on
iOS
and
it
will
run
natively
on
Android
as
well,
and
then
all
your
users
and
including
Apple
App,
Store
and
Google
Play
Store.
They
will
never
know
that
you
didn't
build
those
applications
natively
and
you
just
have
one
code
base,
basically
for
both
those
platforms
there.
B
B
B
You
are
actually
using
a
c-sharp
in
order
to
create
your
front
end.
It
doesn't
really
matter,
but
in
order
to
create
that,
let's
call
it
progress
bar
worksheet
indicator,
you
just
use
the
activity
indicator
element
there,
and
then
it
will
now.
We
actually
automatically
transform
it
to
native
elements,
so
they
will
look
differently
in
every
environment.
B
B
B
B
B
B
Now
I
want
to
talk
about
the
migration.
If
you
are
a
xamarin
developer,
if
you
already
have
some
xamarin
application
to
demo
informs
applications,
you
might
be
confused
what
you
need
to
do.
Can
you
just
continue
supporting
your
xamarin
forms
application
or
you
need
to
rebuild
everything
from
scratch.
He's
in
Maui
Microsoft,
just
decided
to
moved
from
xamarin
forms
to
Maui,
so
lots
of
people
initially
felt
really
frustrated
and
I
totally
understand
that
there
are
several
options.
B
How
you
can
go
about
that,
so
xamarin
forms
is
still
in
some
way
supported.
So
you
don't
need
to
rush
and
convert
everything
to
Maui,
but
you
just
need
to
consider
moving
to
Maui
and
you
can
obviously
do
the
migration
manually
and
here
I
have
some
steps
what
you
can
do
and
what
you
need
to
pay
attention
to.
B
There
are
new
ones,
I
already
mentioned
Essentials,
so
that
changed
for
sure
and
that's
one
of
my
actually
favorite
packages,
I
used
it
before
for
my
xamarin
presentation.
Actually,
Hosanna
mentioned
it
in
the
beginning.
When
he
introduced
me
and
then
now
it's
part
of
Maui,
so
you
don't
even
have
to
have
the
separate
package
there
and
then
you
need
to
address
any
break-in
API
changes
and
once
you
convert
everything,
you
just
run
the
converter
app
and
verify
that
it
functions
correctly.
B
B
Next,
you
can.
Obviously,
if
you
have
a
small
application
there
in
xamarin
forms,
you
can
rebuild
it
from
scratch
using
Maui,
so
you
just
create
a
new
Maui
project
and
just
rebuild
the
functionality
in
some
cases
that
might
be
faster
than
migrating
it,
especially
if
it's
a
smaller
project
like
for
my
demo
project
I,
that's
what
I
did
I
opened
my
xamarin
forms
project
and
then
I
created
a
new
Maui
project,
mt1
and
then
I
kind
of
piece
by
piece:
try
to
match
what
I
had
there.
B
B
At
least
you
can
understand
why
you
need
to
use
Upgrade
Assistant.
It's
not
only
for
upgrading
xamarin
forms
to
Maui.
It
is
also
upgrading
some
older.net
framework
applications
to
make
them.net
SDK
style
ones.
They
have
the
full
list
of
applications
that
they
are
supporting
their
but
basically
their
Upgrade
Assistant.
B
There
are
two
molds
there
there's
analytics
mode
where
you
can
just
run
it
and
it
will
analyze
the
code
and
understand
what
can
be
migrated,
what
can't
be
migrated
and
what
is
going
on.
Basically
with
your
old
code
before
you
actually
start
the
migration
process
and
the
second
part
of
that
assistant
is
actual
migration,
so
yeah
that
tool
is
working.
I
know
that
we
came
from
Microsoft
actually
had
a
really
good
presentation.
B
She
had
that
presentation
at
a
couple
of
conferences,
but
I
think
the
one
at
the
dot
net
conf
was
recorded
and
she
talked
a
lot
about
the
migration,
so
I
do
recommend,
checking
it
out.
If
you
want
to
learn
more
about
that
great
assistant,
I'm,
not
gonna,
go
too
into
details
on
how
to
do
that,
but
I'm,
basically
just
Ryan
and
CLI
commands
and
then
you'll
get
in
the
output
yeah
and
it
works.
B
B
But
it's
not
there
yet
not
maybe
I'm
missing
something
if
I'm
missing
something,
let
me
know,
but
I
haven't
seen
it
so
I,
don't
think
they
they've
completed
that
and
there
are,
and
next
I
want
to
move
to
the
second
part
of
that
session
and
talk
a
little
more
about
artificial
intelligence
and
machine
learning.
Maybe
before
I
move
to
that
section
hosted
you
know
if
there
are
any
questions.
A
B
Okay,
so
artificial
intelligence
and
machine
learning
it
it's
everywhere.
Now
people
talk
about
it
all
the
time
everywhere
and
those
are
buzzwords
and
sometimes
it
can
get
confusing.
What
is
machine
learning?
What
is
artificial
intelligence?
Are
they
related
to
each
other?
Are
they
connected
to
each
other?
Is
it
the
same
same
thing?
So
let
me
actually
provide
you
an
overview
and
we'll
see
how
they
are
connecting
connected
and
I'll
start
with
artificial
intelligence.
B
Here,
artificial
dungeons
actually
has
50
different
definitions,
and
so
I'm
just
gonna
provide
one
of
them
in
general.
It
is
something
that
we,
as
humans
are
good
at
bad
machines
are
not
so
we
as
engineers
and
data
scientists
we're
trying
to
mimic
human
logic
using
IF,
then
rules
decision,
Trees,
Deep
learning
techniques
and
all
that
fun
stuff.
So,
even
if
you
are
using
IF,
then
rules
without
actually
going
too
deep
into
machine
learning.
That
is
also
can
be
treated
as
artificial
intelligence,
and
next
here
is
machine.
B
B
B
We
want
them
to
perform
more
complex
tasks,
and
for
that
we
are
creating
multi-layer
neural
networks
using
all
the
data
that
we
have
and
then
those
tools
that
we
are
building
the
machines
they
can
actually
perform
more
complex
tasks
like
image,
recognition,
speech,
recognition.
If
you
heard
about
Azure
cognitive
Services,
they
all
are
built
on
deep
learning
techniques.
B
B
But
data
is
in
the
core
of
every
machine
learning
project,
no
matter
what
you're
doing,
if
you
build
in
your
model
from
scratch
or
you're,
using
already
pre-built
models
using
Services,
you
need
to
make
sure
that
the
data
that
you
are
fitting
is
clean
and
it's
ready
to
be
used
for
machine
learning,
machine
learning,
algorithms.
They
are
not
just
magic
boxes
and
it
is
basically
garbage
in
garbage
out
there.
B
So
what
you
need
to
do
with
your
data?
You
can
you
need
to
filter
it.
You
need
to
make
sure
that
it's
accurate.
It's
up
to
date.
You
need
to
replace
missing
values.
You
can
use
different
normalizers
there
like
mean
and
Max
generalization
being
removing
the
four
default,
stop
words,
and
there
are
lots
of
other
techniques
how
you
can
clean
your
data.
B
Maybe
Microsoft,
is
not
really
proud
of
it,
but
at
least
we
have
a
good
learning
opportunity
from
the
experience
when
they
release
that
bot
called
Tay
on
Twitter
I'm,
not
sure
if
you
heard
about
it,
but
yeah
that
happened
several
years
ago.
It's
been
a
while,
but
they
let
that
bot
to
just
learn
from
tweets
and
in
the
end
the
bot
became
really
racist.
Fascist
they're
posting
completely
awful
things
there
on
Twitter,
so
Microsoft
had
to
remove
it
within
a
couple
of
flowers.
B
That
is
a
learning
opportunity
to
follow
us
to
understand
that
letting
your
machine
learning
model
no
matter.
What
kind
of
model
that
is
to
learn
from
Twitter
is
not
the
best
option
and
you
need
to
make
you
need
to
be
careful
about
your
data
and
make
sure
that
the
data
is
clean
and
ready
for
machine
learning,
training.
B
B
B
You
can
also
clean
your
data
using
ml.net,
and
here
ml.net
is
open
source,
so
I
added
the
link
to
GitHub
there,
so
you
can
see
how
it
works
behind
the
scenes
again
same
thing
as
with
Maui.
If
you
see
something
that
doesn't
work,
you
know
how
to
fix
it,
submit
APR,
you
don't
know
how
to
fix
it,
submit
an
issue
so
bring
back
the
value
to
the
community,
and
then
they
also
have
really
good
samples
there
in
that
repo.
B
So
you
can
see
how
you
can
use
ml.net.
There
are
some
actual
sample
data
sets
that
are
already
clean.
So
if
you
just
want
to
check
it
out,
you
want
to
track
a
couple
of
things
and
you
may
be
not
ready
to
commit
and
not
ready
to
use
it
right
away
with
your
custom
data.
You
can
get
those
sample.
Data
sets,
try
those
little
samples
that
they
have
in
the
repo
and
then
understand
better
how
it
works
and
if
it
suits
your
needs.
B
But
probably
you
understand
that
an
awesome
thing
about
amount.net
is
that
you
don't
have
to
Learn
Python.
You
don't
have
to
learn
tensorflow
and
all
those
data
sciencey,
sometimes
really
hard
languages
to
learn.
I've
been
trying
to
learn
r
at
some
point,
but
since
I
didn't
really
use
it,
I
just
wanted
to
learn
it
for
a
machine
learning
application
for
some
data
science,
experiments
that
didn't
go
for
me
well,
I,
never
actually
learned
it
and
then,
when
I
saw
ml.net
I'm
like
okay,
that's
perfect!
B
B
You
can
use
ml.net
for
building
your
model
and
also
for
Consumer
new
model.
I
think
that's
the
ideal
scenario.
When
you
build
your
model
using
them
all.net
and
then
you
are
consuming
it
using
like
animal.net,
but
you
also
can
consume
other
models
like
Onyx
models.
Tensorflow
again
I
do
recommend,
checking
the
documentation
to
learn
what
kind
of
models
you
can
consume
using
ml.net.
So,
even
if
you
didn't
build
the
model
and
you
got
it
from
somewhere
else,
but
you
know
you
want
to
use
amount.net
for
consumption
of
the
model.
That
is
definitely
an
option.
B
B
Next,
you
are
creating
a
pipeline
using
a
band
method,
and
out
of
that
then
method
you
are
receiving
the
interface
I
estimator.
You
train
your
model
using
the
fit
method
there
and
then
you
are
evaluating
the
model,
so
the
process
doesn't
stop
on
the
training
step.
You
need
to
make
sure
that
the
model
is
performing
correctly.
B
B
It
also
provides
accurate
information,
especially
if
you're,
using
it
in
Mission
critical
applications.
That
is
very
important
if
the
model
passed
the
evaluation
process
and
works
fine-
and
you
are
satisfied-
you
can
just
save
the
model
and
start
using
it
if
it
doesn't
perform
well,
then
you
kind
of
go
around
the
circle
and
figure
out
why
it
doesn't
perform.
Well,
maybe
you
don't
have
enough
data.
Maybe
it
is
not
clear
enough.
B
There
might
be
lots
of
different
reasons.
Maybe
the
the
algorithm
that
you
picked
is
not
the
right
one
for
your
data,
so
there
are
lots
of
different
options
there
that
you
can
tweak
and
try
to
retrain.
The
model
and
see
if
it
works
better
and
then
once
you
save
your
model,
you
can
use
it
with
ml.net.
You
just
load
in
your
model
using
that
load
method
and
then
make
a
prediction.
B
B
It
saves
you
a
ton
of
time
it
automates
a
lot
of
those
really
time
consuming
Parts
like
picking
the
right
algorithm
for
your
data
or
some
organization
of
your
data
and
trying
to
fit
the
data
to
your
algorithm.
That
actually
takes
a
lot
of
time.
On
one
hand,
if
you
are
experienced
data
scientists
and
machine
learning
Specialists,
it
might
be
faster
for
you,
but
still
it
is
a
very
time
consuming
process.
Even
if
you
are
an
experienced
specialist.
B
If,
but
if
you
are
not
an
experienced
Specialist
or
you
are
not
a
data
science
at
all,
like
me,
for
example,
it
might
take
really
long
time.
It
might
take
days
to
figure
out
what
kind
of
algorithm
you
need
to
use
for
your
data
set
to
make
it
the
most
efficient
machine
learning
model
in
the
end,
so
I'm
glad
for
automl
technology.
B
That
actually
saves
a
lot
of
time
and
I'm
well.net
model
builder
is
actually
uses
rml
behind
the
scene.
There
are
two
options:
how
you
can
use
ml.net
model
builder?
You
can
use
it
using
UI
inside
Visual,
Studio
or
if
you
prefer
CLI.
There
is
also
a
CLI
option.
I
personally,
like
my
buttons
I
like
the
UI
part,
it
is
really
pretty.
B
B
In
finally
answer
to
the
question
is
the
ml.net
in
Maui
and
why
it's
important?
Yes,
there
is
the
amount
of
that
in
Maui.
You
can
use
them
all.net
with
Maui
projects,
which
is
really
cool.
Why
it's
important?
It
was
a
pain
before
when
I
use,
xamarin
and
xamarin
forms,
and
that
presentation
that
I
did
actually
at
xamarin
Summit
I
had
to
jump
through
hoops
because
it
wasn't
an
easy
connection
between
ml.net
and
xamarin.
B
B
Now
you
don't
have
to
jump
through
those
Hoops.
If
you
don't
want
to,
if
you
want
to
store
your
model
right
on
your
device
with
your
Maui
application,
that
is
totally
possible.
So
that
saves
a
lot
of
money.
It
might
be
faster
in
some
cases
on
the
downside.
If
you
are
store-
and
you
are
a
machine
learning
model
and
if
it's
huge
and
you
store
it
as
a
resource,
then
your
application
is
going
to
be
big,
but
whatever
you
prefer
and
whatever
is
working
better
in
your
scenario,
then
you
should
do
that.
B
You
know
it
depends
what
you
want.
If
you
want
to
use
a
connection,
we
use
internal
connection
if
it's
available
for
your
customers
and
you
want
to
call
Azure
function,
that
is
still
an
option,
but
if
you
want
to
have
completely
offline
application,
which
is
not
connected
to
Internet-
and
you
want,
you
know,
you
have
a
smaller
model.
B
B
It
should
be
on
and
should
have
been
installed.
Otherwise
you
won't
be
able
to
use
ml.net
model
builder.
You
will
still
be
able
to
use
ml.net,
which
is
not
the
Builder
itself,
and
then
you
are
creating
your
new
Maui
project,
or
maybe
you
already
have
pre-built
project
that
you
built
before
and
then
you
can
just
use
the
model
builder
to
add
the
machine
learning
part
to
it
and
then
important
thing
is:
you
need
to
include
the
model
as
a
resource,
otherwise
it
will
be
impossible
to
connect
to
it,
but
yeah.
B
B
B
So
here's
the
the
code
hope
everyone
can
see
it
and
here
what
I
have
as
I
mentioned
before
I
I
had
that
xamarin
forms
application
that
I
created
the
it
was.
It
was
just
a
demo,
little
small
application,
little
and
small
application
there.
That
was
analyzing
messages,
be
before
sending
them
and
I
think.
Overall,
it's
a
really
good
idea.
I
got
it
from
someone
I
think
summer
and
Summit,
or
maybe
before
that
at
one
of
the
conferences.
B
Quite
a
while
ago,
I
just
talked
to
a
couple
of
people
in
the
hallway,
and
one
of
them
actually
was
thinking
about
that
idea
of
creating
an
app
that
will
analyze
text
message
before
sending
it,
and
sometimes
we
all
need
that.
You
know
we
send
in
messages
without
thinking
twice
and
then
we
regret
it.
B
If
the
text
message
is
toxic
or
non-toxic,
and
then
if
it's
toxic
I
got
a
pop-up
saying
I
sure
you
want
to
send
it
with
two
buttons,
yes
or
no,
and
if
you
still
want
to
send
it,
you
can
still
do
it.
If
not,
then
the
Forum
gets
cleared
out
and
then
you
can
start
writing
your
text
message
from
scratch.
So
here
I'm
just
showing
you
the
xaml
part
of
it.
That's
how
I
built
this
front
end
here.
B
B
But
if
you
want
to
have
those
little
tweaks
or
maybe
platform
specific
code,
something
should
function
differently
or
maybe
something
should
look
completely
different
in
each
platform.
You
still
have
access
to
each
platform
here
so
on
the
right,
I'm
I'm,
showing
you
the
solution
and
the
Maui
project
that
I
have.
B
B
B
B
He
if,
if
you
don't
mind
that
and
that
SMS
is
used
to
being
I
already
mentioned
Essentials
a
couple
of
times
it
used
to
be
a
separate
Library,
xowin
Essentials
James
montemagno
worked
on
it
very
hard.
Now
it's
automatically
integrated
with
Maui,
so
you
don't
have
to
have
separate
library
or
install
anything
separately.
B
It
is
there
out
of
the
box
with
Maui
and
so
I'm,
using
that
former
essential
library
now
integrated
in
Maui
here
to
actually
send
a
message
and
then
going
back
to
the
machine
learning
part
of
it
here,
's.
Basically,
the
machine
learning
portion
of
it
with
ml.net.
The
model
itself
is
a
ZIP
file
evaluation.zip
and
when
you
are
using
the
model
builder,
which
I
did
use
here
to
create
that
MB
config
is
not
really
a
project,
it
is,
let's
call
it
a
folder.
B
You
also
have
the
consumption
class
here
class
for
consumption,
which
was
generated
automatically
and
then
a
class
4
training
here
and
see
you
can
see
how
it
was
trained.
So
if
you
want
to
learn
more
how
the
model
builder
Works
behind
the
scene,
all
the
code
is
here,
so
you
see
that
the
data
was
uploaded
and
then
that's
the
pipeline
that
was
created
there,
and
then
we
trained
the
pipeline
with
the
data
that
we
had
there,
and
then
we
got
the
model
out
of
it.
B
B
B
B
They
actually
recently
separated
them
into
groups.
You
can
see
that
some
of
the
latter
scenarios,
where
you
might
not
have
a
lot
of
data
or
maybe
data,
is
not
as
heavy.
You
can
use
your
local
resources,
your
local
CPU,
on
your
machine
for
more
data
habit
scenarios
like
image,
classifications
and
object,
detection
you
can
connect
to
Azure,
so
Azure
can
actually
provide
the
resources.
Obviously
you
need
to
pay
for
them,
because
it's
in
the
cloud
but
agile
provides
support.
B
With
a
lot
of
data,
and
here
you
have
two
options:
Azure
and
local,
and
for
local
you
can
use
either
CPU
or
GPU
option
and
then
the
natural
language
processing,
and
then
there
are
links
to
documentation
and
yeah,
really
convenient
to
use
the
UI
again
CLI,
as
always
an
option
there
as
well,
so
I'm
not
going
to
go
through
the
whole
process.
But
I'm
gonna
choose
this
scenarium
and
just
show
you
a
couple
of
steps
up
up
until
that
step.
B
Probably
when
you
upload
your
data,
you
can
the
connection
to
SQL
server
or
it
can
be
just
a
file
with
your
data
set.
And
then
here
you
have
the
preview
and
then
you
can
just
go
through
the
trading
process.
It
will
evaluate
a
couple
of
it
will
have
already
a
couple
of
algorithms
for
your
data
set
and
then
it
will
pick
the
best
one
for
your
specific
data.
B
You
can
see
here
that
it
was
added
as
a
resource,
otherwise
it
it
is
not
possible
to
connect
to
it
and
use
it
inside
your
Maui
application
and
now
I
just
want
to
run
it
really
quick
here,
oh
actually,
about
the
testing
part
of
it.
There
are
several
options
you
can
test
it
through
emulator
that
you
can
create
right
inside
your
Visual
Studio
or
if
you
have
real
devices,
you
just
connect
your
devices
to
your
machine
and
then
you
can
test
on
real
devices.
A
A
I
saw
one
example
of
a
a
client
in
Canada
that
they
actually
were
using
camera
to
make
sure
that
everyone
on
the
construction
team
were
using
their
best
and
their
health,
their
helmet
and
everything,
because
that's
a
security
concern
and
that's
a
liability
and
the
USC
were
using
image
recognition
and
it
was
extremely
fast
because
everything
was
all
the
processing
was
happening
right
there
on
their
Hardware.
So
this
is
a
amazing
to
be
able
to
do
it
like
that.
B
B
Okay,
so
and
then
we're
getting
the
pop-up
as
I
mentioned,
the
UI
is
not
the
best,
don't
copy,
my
UI,
it
looks
ugly
just
for
the
demo
purposes,
but
yeah
your
the
model
actually
evaluated
your
message,
and
now
it's
asking.
If
you
still
want
to
send
it,
although
it's
rude
or
you
just
want
to
remove
it
and
I'm,
not
gonna,
send
it
so
it
removed
just
the
text
portion
of
it.
A
And
those
are
the
things
that
about
the
the
training
part,
because,
for
example,
that
like
I
talk
a
lot
with
this,
hey
I.
Think
that
a
probably
you
know
it's
Bruno
from
Canada
Asian
MBP
over
there
and
he's
the
one
who
was
working
with
that
conclusion
company
and
he
was
telling
that
there
was
a
lot
of
training
because
he
got
like
a
lot
of
times
right.
But
it
still
was
getting
like
a
some
of
the
examples,
some
of
the
image
it
was
like
failing
and
then
you
have
to
retrain
it
and
make
sure.
A
B
B
It
is
a
very
small
data
set
there,
so
it
actually
acts
up
and
doesn't
predict
accurately
all
the
time
yeah,
but
for
the
demo
purposes,
I
just
wanted
to
I
just
want
to
show
how
you
can
use
ml.net
and
model
builder
for
creating
model
and
then
connecting
to
the
model.
But
definitely
there
don't
skip
the
evaluation
part,
and
if
you
need
to
add
more
data
and
retrain
the
model,
then
that's
what
has
to
be
done
there.
Just
don't
leave
it
like
that
with
very
low
percentage
of
accuracy.
B
B
B
B
A
Yeah
and
and
also
it
is
also
important
to
mention
that
when
you
are
training,
then
you
need
to
mature
your
battery
bias
free
and
it's
not
never
going
to
be
completely
free
of
its
own
type
of
bias,
because
I
also
afraid
about
so
much
learning
that
we're
doing
in
a
hiring.
You
know
like
when
you
soon
made
your
resume
to
big
companies.
A
They
have
some
type
of
fare,
algorithms,
that
checks
and
depending
of
the
the
keywords
and
depending
of
the
data
in
different
recommendation
for
an
interview,
so
that
that
I
was
expecting
to
be
a
a
not
the
best
starting
point
because,
for
example,
let's
say
that
people
from
from
Miami
they
always
perform
better
in
this
type
of
job
or
people
like
white
people
perform
better
on
this
type
of
job.
So
there
was
a
whole
edit
issues
regarding
that
is
not
about
that
race.
It's
not
about
the
location,
it's
about
like
skills,
it's
about
the
person.
A
B
A
B
Yeah
and
then
it's
not
them
and
size.
So
when
you
are
actually
compiling
the
code
and
then
you
are
releasing
it
to
the
store
Maui
kind
of
strips
out
everything
that
you
don't
need,
I'm,
not
sure
if
the
model
is
going
to
be
smaller,
but
you
can
strip
and
when
you
are
actually
compiling
and
getting
that
final
release,
then
your
application
overall
is
smaller
than
when
you're
just
developing.
It.
B
C
B
Yeah
definitely
so
it's
not
up
to
the
model
itself,
so
you
can
train
your
model
to
actually
recognize
you
know.
Gps
coordinates
and
then
provide
recommendations,
so
maybe
create
the
most
efficient
route
to
your
destination,
avoiding
certain
parts
and
then
you
can
use
the
same.
I
think
I
think
it's
part
of
them
that
that
used
to
be
Essentials
Library
get
connected
to
different
parts
of
your
Hardware.
Now
it's
integrated
into
Maui.
So
probably
you
can
just
use
that
GPS
connection
right
from
Maui
without
actually
installing
any
other
libraries.
C
B
A
Yeah
I
think
that
a
lot
of
times
like
questions
came
later
when
they
are
playing
the
project
or
just
trying
something
in
machine
learning,
and
that
way
they
say
hey.
How
can
we
do
this
so
feel
free
to
reach
out
to
everyone
again
on
Twitter
so
and
I
will
find
out
about
the
repo,
so
we
can
share
it
on
the
group.
A
All
right,
I
think
that
that's
it
Veronica
I
really
appreciate
your
time.
I
appreciate
everything.
Do
you
have
share
with
us?
Well,
definitely
excited
about
machine
learning.
I
definitely
would
like
to
to
include
it
more
and
more
in
the
projects.
Not
it's
not
always
up
to
us,
but
I
know
for
sure.
That's
what's
gonna
change
the
future.
If
you
see
everything,
that's
going
on
right
now,
I'm
really
excited
about
captivity
and
really
excited
about
Pope
and
AI.
A
He
actually
has
a
lot
of
great
things
right
now
with
connectivity
services
with
action,
multi
lending,
a
studio
and
the
things
that
we
can
achieve
right
now
without
being
a
lot
of
times,
just
calling
an
API
or
just
embedding
and
modeling
or
application
like
amazing.
So
thank
everyone
for
joining
us
as
always,
next
month,
we're
going
to
be
talking
about
iot,
so
stay
tuned
and
Veronica
would
love
to
have
you
at
some
point
again
back
here.
I
personally
would
love
to
see
you
in
any
other
confidence
in
the
2023
and
see
you
next
month.