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Machine Learning Algorithms: Machine learning is an essential aspect for creating AI systems   Machine Learning Engineer
 as it enables the machine to learn from its past experiences without being explicitly programmed.   The growth in this field has been 244% between 2015 and 2019. It is expected to grow further in
 Thus, one must be proficient in such machine learning algorithms.  the coming years. Machine learning engineers are skilled programmers who develop machines and
                 systems that can learn and apply knowledge without precise direction from a human.
   Artificial Neural Networks: Such networks mimic the functioning of the human brain. An AI
 professional  is  expected  to  learn  how  to  solve  complex  problems  such  as  face  recognition,
 handwriting recognition and pattern recognition.
   Mathematics and Algorithms: Applied mathematics and algorithms are considered a necessary
 skill in the field of AI. They should be familiar with problem-solving skills and analysis skills, along
 with the knowledge of mathematics to solve complex AI-related tasks.

   Signal Processing Techniques: AI systems are fed with huge chunks of data in various formats.
 In  order  to  extract  meaningful  information,  one  must  acquire  knowledge  of  solving  problems
 using advanced signal processing algorithms.

                 Necessary Skills

 If  AI  could predict and prevent crimes before they happen, what new laws or   A Machine Learning Engineer requires to be exceptionally good at:
 ethical guidelines need to be created to balance safety and privacy?    Statistics.
                   Deep learning, dynamic programming, neural network architectures, natural language processing,
 Career Opportunities in AI   audio and video processing, reinforcement learning, advanced signal processing techniques, and
                   the optimisation of machine learning algorithms.
 When we talk about the best jobs in the future, a few industries have clearly shown rapid growth
                   Knowledge of languages like python and R.
 using AI. A 2019 report from Gartner shows that enterprise applications for AI have grown by 270%
                   Commonly used framework such as TensorFlow and PyTorch.
 in four years, where the demand is much more than the supply of qualified job candidates.
                 Robotics Engineer

 Cybersecurity  Manufacturing  The  next  growing  career  in  AI  is  that  of  Robotics  Engineer  with  128%  growth.  These  engineers
 Healthcare      research, design, develop or test robotic applications. Their job also includes reviewing or approving
                 designs and calculating cost estimates depending on the workplace they are associated with. Usually
                 the workplace includes offices, manufacturing plants or laboratories.

 Retail  Industries    Transportation
 Impacted
 by the AI
 Revolution


 Information
 Construction  Technology
 Supply Chain   Business
 Management
 Intelligence





                 Necessary Skills
 Seventy-two million business executives are incorporating
 machine learning solutions in business operations.  A robotics engineer requires to be good at:
                   Creative ideas

 Let us understand some of the most in-demand jobs in the field of AI.    Programming mind-set

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