Page 119 - CloudGPT_C8_Flipbook
P. 119
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
Possibilities with AI 117

