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Exciting Career Paths for Machine Learning Engineer!

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Whatever you decide to become, it is important that you get your training at the best place so as to increase your chances of being successful. Sign up with SynergisticIT to gain real world experience and meet your career goals with the help of experienced teachers. – PowerPoint PPT presentation

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Title: Exciting Career Paths for Machine Learning Engineer!


1
Synergisticit
The best programmers in the bay areaPeriod!
2
Exciting Career Paths for Machine Learning
Engineer!
  • Machine learning sector has seen tremendous
    growth in the past few years. According to
    Indeed, machine learning engineer jobs saw a
    growth of 344 in the year 2019 with an average
    annual salary going as high as 146,085. That is
    the reason why a lot of programmers are showing
    interest in this domain.

3
What is Machine Learning?
  • It involves the use of Artificial Intelligence to
    help machines gain experience on their own and
    increase their proficiency in resolving said
    tasks. The process begins by feeding relevant
    data and different algorithms to the machine
    which is then used to automate a particular task.

4
  • Careers that Machine Learning Certification in
    California can prepare you for!

5
  • Machine learning is an art and a very creatively
    demanding field. So if you are up for the
    challenge then you can try your hands at the
    below exciting career opportunities

6
Machine Learning Engineer
7
  • Their job is to run experiments using programming
    languages like Python, Java, Scala in order to
    attain certain goals. If you want to be a machine
    learning engineer then you should have skills
    like data modeling, probability, System design,
    Statistics etc. Their main job is to create
    different algorithms that can run on their own
    with minimal human administration.

8
Data Scientist
  • Data scientists help collect and analyze a large
    portion of data to generate actionable insights.
    These results are then used to make better
    professional decisions. You need to know Hadoop,
    Hive, Spark, Pig etc along with languages like
    Scala, Python, Perl etc to be a data scientist.

9
NLP Scientist
  • Natural Language Processing or NLP is a
    profession that gives you the ability to make
    computers understand human language. NLP
    scientists basically create a machine that can
    recognize speech patterns and convert it into a
    language that it understands. So they should be
    fluent in spelling, grammar and syntax of at
    least one language so as to help a machine
    acquire it too.

10
Business Intelligence Developer
  • They work like a data scientist but with an aim
    to make a business more successful. In simpler
    terms, they use data learning to help make better
    corporate decisions. You need to know languages
    like SQL, Scala, Perl, Python etc along with some
    business analytics services to build a career in
    this domain.

11
Machine Learning training in bay area
Whatever you decide to become, it is important
that you get your training at the best place so
as to increase your chances of being successful.
Sign up with SynergisticIT to gain real world
experience and meet your career goals with the
help of experienced teachers.
12
THANKS!
  • Any questions?
  • You can find me at
  • https//www.synergisticit.com/
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