How to succeed in pursuing a Machine Learning career? - PowerPoint PPT Presentation

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How to succeed in pursuing a Machine Learning career?

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Machine Learning has taken over the world to a great extent. As per Forbes, the global market of Machine Learning is expected to reach $20.83B by 2024. The increased adoption of Machine Learning shows the efficiency of its algorithms, techniques and frameworks in solving complex problems. As Machine learning is reforming the business landscape, it drives the demand for professionals. Machine Learning expertise has become the most in-demand skill in today’s technical sphere. It is claimed to be a consistent and well-paying source of employment that will sustain for decades to come. – PowerPoint PPT presentation

Number of Views:52
Updated: 21 June 2022
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Provided by: LisaWhite

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Title: How to succeed in pursuing a Machine Learning career?


1
Career Options in Machine Learning
2
Machine Learning Career
  • Once you acquire the right Machine Learning
    skills, it will open a door for several career
    options for you. Some of the promising career
    options in Machine Learning are as follows
  • Machine Learning Engineer
  • Data Scientist
  • Human-Centered Machine Learning Designer
  • Machine Learning/AI Software Developer

3
Top Career Options in Machine Learning
  • Machine Learning Engineer
  • Data Scientist
  • The fundamental duty of a Machine Learning
    Engineer is to design develop Machine Learning
    systems by using suitable tools, libraries,
    programming languages and algorithms. ML
    Engineers analyzes data to create numerous
    self-directed algorithms that runs with a little
    human supervision. For this job position a person
    needs to be competent in probability, statistics,
    data modeling, system design, ML algorithms, and
    programming.
  • Data Scientists are required to collect, analyze
    and interpret voluminous data for finding
    actionable insights. A Data Scientist
    incorporates Machine Learning algorithms to find
    the meaning in the data. Also, they look for the
    problems and provide appropriate solutions. This
    position requires higher knowledge of Big Data
    platforms such as Hadoop, Hive, Spark, Pig and
    programming languages like Python, SQL, etc.

4
Top Career Options in Machine Learning
  • NLP Scientist/Computational Linguist
  • Human-Centered Machine Learning Designer
  • Another propitious career opportunity in the
    Machine Learning domain is NLP Scientist or
    Computational Linguist. In our daily regime we
    use several voice recognition systems and speech
    to text applications which are mainly based upon
    Machine Learning.
  • As its name suggests, a Human-Centered Machine
    Learning Developer is dedicated to design
    intelligent systems that can learn the behavior
    patterns preferences of individuals through
    pattern recognition information processing.

5
Machine Learning Career
  • If you possess a real-world experience and
    required skills, the road to becoming a Machine
    Learning professional seems to be easy. Pursue a
    stead career in Machine Learning with our
    support. We provide an upskill program in Machine
    Learning that covers all the basics to advance
    level ML concepts.
  •  

6
Thank You
  • SynergisticIT
  • (510) 550-7200
  • media_at_synergisticit.com
  • www.synergisticit.com/
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