Top 10 Machine Learning Books for Beginners
Machine
learning
has
become
an
important
part
of
our
lives
in
more
ways
than
we
can
imagine.
It
has
enabled
the
use
of
statistical
models
and
computer
algorithms
to
address
specific
tasks.
Machine
learning
works
by
leveraging
inference
and
patterns
rather
than
explicit
instructions.
Your
search
for
the
best
machine
learning
books
might
have
started
due
to
your
curiosity
about
machine
learning.
Some
of
you
might
search
for
books
due
to
the
motivation
to
pursue
a
career
in
machine
learning.
Interestingly,
machine
learning
jobs
offer
one
of
the
most
favorable
alternatives
for
professional
development
in
many
ways.
As
a
matter
of
fact,
the
number
of
job
listings
for
machine
learning
engineers
has
increased
by
almost
340%.
The
average
annual
salary
of
ML
engineers
is
around
$146,000.
It
proves
the
fact
that
a
career
in
machine
learning
delivers
lucrative
rewards.
Let
us
take
a
look
at
some
of
the
most
interesting
ML
books
that
beginners
must
try
out.
What
is
the
Importance
of
Machine
Learning?
Before
you
begin
the
quest
to
find
machine
learning
books
for
beginners,
it
is
important
to
know
the
reasons.
Machine
learning
involves
the
use
of
mathematics
and
statistics
to
help
computers
learn
from
datasets.
ML
models
improve
their
performance
over
the
course
of
time
without
explicit
programming.
You
can
think
of
it
as
making
a
computer
smarter
with
every
new
information
it
learns.
It
is
important
to
learn
machine
learning
today
as
it
has
empowered
businesses
in
different
ways.
For
example,
machine
learning
can
help
businesses
develop
a
detailed
impression
of
behavioral
patterns
of
customers
and
business
operation
patterns.
Big
companies
such
as
Facebook,
Google,
and
Uber
have
embraced
machine
learning
in
their
core
operations.
Facebook
leverages
machine
learning
for
personalization
of
content
displayed
in
the
user
feed.
It
also
uses
ML
to
remove
unwanted
content
alongside
ensuring
detection
and
prevention
of
fraudulent
activity.
Google
depends
on
machine
learning
for
accurate
search
results
alongside
identification
and
removal
of
spam
from
different
Google
platforms.
Uber
utilizes
machine
learning
for
optimization
of
route
planning
algorithms
and
prediction
of
ride
demand
in
different
regions.
Many
other
organizations
that
use
machine
learning
tap
into
its
potential
in
different
ways.
With
a
strong
foundation
in
machine
learning,
you
are
likely
to
become
a
trusted
and
valuable
asset
for
organizations
that
rely
on
machine
learning.
Books
for
machine
learning
beginners
can
serve
as
useful
tools
to
help
you
develop
a
stronger
command
over
machine
learning
fundamentals.
As
a
result,
you
will
find
the
right
path
to
improve
your
machine-learning
skills
and
become
an
ML
expert.
Take
your
first
step
towards
learning
about
artificial
intelligence
through AI
Flashcards
What
are
the
Best
Books
on
Machine
Learning
for
Beginners?
The
best
books
on
machine
learning
can
help
you
improve
your
machine-learning
expertise
from
scratch.
However,
it
does
not
mean
that
the
top
books
on
machine
learning
for
beginners
will
always
be
the
ones
focused
on
basic
concepts.
As
a
beginner,
you
would
also
need
some
books
that
help
you
learn
about
the
technical
aspects
of
machine
learning.
Once
you
have
gained
knowledge
about
machine
learning
basics,
you
would
have
to
move
beyond
the
beginner
level.
Therefore,
you
must
look
for
beginner-friendly
ML
books
as
well
as
the
ones
that
give
a
glimpse
of
the
practical
side
of
machine
learning.
Here
is
an
outline
of
the
top
books
that
can
help
beginners
start
their
journey
in
the
domain
of
ML.
1.
Machine
Learning
(in
Python
and
R)
for
Dummies
Machine
Learning
for
Dummies
by
John
Paul
Mueller
and
Luca
Massaron
is
an
interesting
book
for
beginners
in
machine
learning.
You
can
think
that
machine
learning
is
a
completely
alien
concept,
especially
when
you
are
learning
about
it
for
the
first
time.
The
answers
to
“Which
is
the
best
machine
learning
book
for
beginners?”
might
lead
you
to
this
book
as
it
sheds
light
on
the
mysterious
potential
of
machine
learning.
People
who
know
about
machine
learning
know
that
it
can
help
improve
different
things,
including
real-time
digital
ads,
spam
filtering,
web
search
results,
and
the
automation
of
business
workflows.
The
book
helps
you
find
a
simple
guide
to
the
ways
in
which
machine
learning
works.
Another
impressive
highlight
of
the
book
is
that
it
helps
you
learn
how
to
use
Python
and
R
for
machine
learning.
It
can
serve
as
a
valuable
asset
for
learning
how
to
use
machine
learning
to
manage
data
analysis
and
pattern-centric
tasks.
2.
The
Hundred-Page
Machine
Learning
Book
The
Hundred-Page
Machine
Learning
Book
by
Andriy
Burkov
serves
as
an
impressive
introduction
to
the
world
of
machine
learning.
One
of
the
key
highlights
of
the
book
is
the
simple
explanation
of
artificial
intelligence
systems,
which
is
easily
comprehensible
for
beginners.
It
is
one
of
the
most
recommended
machine
learning
books
for
a
beginner
to
understand
all
the
basic
concepts.
You
can
also
rely
on
the
book
as
a
valuable
resource
to
prepare
for
machine
learning
job
interviews.
The
Hundred-Page
Machine
Learning
Book
also
offers
a
collection
of
practice
papers
and
theories.
In
addition,
it
also
offers
an
in-depth
explanation
of
different
concepts
like
logistic
regression.
Some
of
the
other
important
topics
covered
in
the
book
include
deep
learning,
neural
networks,
anatomy
of
learning
algorithms,
and
fundamental
algorithms.
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Business
Course
3.
Machine
Learning
for
Absolute
Beginners:
A
Plain
English
Introduction
Machine
Learning
for
Absolute
Beginners
by
Oliver
Theobald
is
the
perfect
solution
for
anyone
who
has
doubts
about
starting
to
learn
about
machine
learning.
It
is
one
of
the
best
machine-learning
books
that
can
help
you
with
a
practical
introduction
to
machine
learning
for
beginners.
The
book
helps
you
learn
the
best
practices
for
downloading
free
datasets
and
important
machine-learning
libraries.
Machine
Learning
for
Absolute
Beginners
also
covers
topics
such
as
regression
analysis,
decision
trees,
and
data
scrubbing
techniques.
Use
the
book
for
a
comprehensive
introduction
to
the
domain
of
machine
learning.
4.
Machine
Learning:
The
New
AI
Machine
Learning:
The
New
AI
by
Ethem
Alpaydin
is
a
top
machine
learning
book
that
helps
you
familiarize
yourself
with
basic
machine
learning.
It
provides
insights
into
important
ML
algorithms
for
artificial
neural
networks,
pattern
recognition,
data
science,
and
reinforcement
learning.
In
addition,
it
also
reflects
on
the
legal
and
ethical
implications
associated
with
machine
learning
for
security
and
data
privacy.
The
book
helps
you
understand
how
ML
is
responsible
for
powering
different
applications,
such
as
voice
recognition
and
product
recommendation
systems.
5.
Hands-on
Machine
Learning
with
Scikit-Learn,
Keras
and
TensorFlow
The
Hands-on
Machine
Learning
with
Scikit-learn,
Keras,
and
TensorFlow
by
Geron
Aurelien
is
an
ideal
pick
for
any
learner
who
has
experience
in
Python.
It
is
one
of
the
top
books
on
machine
learning
that
offers
guidance
for
a
better
understanding
of
concepts
and
tools
that
you
would
need
for
developing
intelligent
systems.
The
chapters
in
the
book
feature
interactive
exercises
that
help
you
implement
the
skills
you
learn
and
develop
your
practical
expertise.
The
book
can
serve
as
a
valuable
resource
for
developing
technical
skills
for
machine
learning
projects.
Identify
new
ways
to
leverage
the
full
potential
of
generative
AI
in
business
use
cases
and
become
an
expert
in
generative
AI
technologies
with Generative
AI
Skill
Path
6.
Fundamentals
of
Machine
Learning
for
Predictive
Data
Analytics
Fundamentals
of
Machine
Learning
for
Predictive
Data
Analytics
by
John
D.
Kelleher,
Brian
Mac
Namee,
and
Aoife
D’Arcy
is
a
trusted
book
for
learners
who
follow
an
analytics-centric
approach.
It
is
one
of
the
most
recommended
machine
learning
books
that
offers
case
studies
and
practical
applications
of
machine
learning.
Apart
from
the
theoretical
concepts
of
machine
learning,
the
book
helps
you
work
on
machine
learning
with
your
browsers.
The
book
also
includes
a
large
collection
of
diverse
algorithms
and
models
for
implementation
of
machine
learning.
7.
Machine
Learning
for
Hackers
Machine
Learning
for
Hackers
by
John
Myles
White
and
Drew
Conway
is
an
ideal
pick
for
beginners
who
have
programming
expertise.
It
is
a
reliable
answer
to
“Which
is
the
best
machine
learning
book
for
beginners?”
with
its
practical
case
studies.
Learners
with
coding
experience
can
use
this
book
without
any
prior
knowledge
of
mathematical
or
statistical
aspects
of
ML.
The
book
includes
case
studies
that
offer
insights
into
practical
uses
of
machine
learning.
8.
Deep
Learning
Deep
Learning
by
Ian
Goodfellow,
Aaron
Courville,
and
Yoshua
Bengio
is
a
promising
resource
to
help
you
start
familiarizing
yourself
with
deep
learning.
The
book
focuses
on
important
topics
and
concepts
associated
with
deep
learning,
such
as
probability,
information
theory,
and
linear
algebra.
You
can
find
lectures
with
slides
on
a
website
in
the
book
alongside
Github
exercises
to
improve
your
practical
skills.
9.
Pattern
Recognition
and
Machine
Learning
Pattern
Recognition
and
Machine
Learning
by
Christopher
M.
Bishop
may
not
be
an
ideal
pick
among
ML
books
for
beginners
due
to
its
content.
The
book
offers
a
Bayesian
perspective
on
pattern
recognition.
In
addition,
you
may
need
expertise
in
basic
linear
algebra,
multivariate
calculus,
and
data
science
to
understand
the
topics
in
the
book.
10.
Python
for
Data
Analysis
Python
for
Data
Analysis
by
Wes
McKinney
is
an
ideal
book
that
helps
you
strengthen
your
skills
as
a
ML
expert.
It
is
useful
for
Python
programmers
who
want
to
dive
into
machine
learning.
The
book
includes
guidelines
for
manipulation,
processing,
and
refining
ML
datasets
in
Python.
Some
of
the
exclusive
topics
in
the
book
include
data
science
tools,
Python
libraries,
and
examples
of
data
analysis.
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to
understand
the
importance
of
ethics
in
AI,
ethical
frameworks,
principles,
and
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Enroll
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Of
Artificial
Intelligence
(AI)
Course
Final
Words
The
outline
of
the
best
machine
learning
books
that
can
help
beginners
shows
that
you
can
find
different
alternatives
to
improve
your
machine
learning
skills.
However,
it
does
not
mean
that
you
would
have
to
stick
to
the
fundamental
books
only.
On
the
contrary,
you
must
use
books
with
advanced
topics
that
can
help
you
take
the
next
step
as
a
machine
learning
expert.
Find
more
information
about
other
important
ML
books
that
can
help
you
in
the
best
possible
way
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