New Avenues Opening for Machine Learning Developers this Season

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Moving aside from the chatbots and online user data trackers. It’s time for new applications in the machine learning domain to rule the world. The sun is shining brightly on the new age machine learning training models that are working in tandem with emerging technologies like IoT, Biotech, 5G, and others to make the world a better place to live, especially when we are all looking up to smarter technologies to fight in the pandemic era.

In this article, let’s digest some of the most enticing avenues in the machine learning training and development industry that could be among the world’s most prolific job segments in the coming months, if not weeks.

ML Ops for Immunotherapy

Cancer is a global killer. In the healthcare industry, immunotherapy involves the use of biological drugs and radiotherapy to amplify the immune system’s response to suppress cancer from spreading or growing. ML engineering is used to improve the way immunotherapy is used to pave the way for lymphatic and immune systems to slowly start responding against cancer cells. Advanced machine learning models are being developed to understand and analyze how a person is supposed to respond to immunotherapy using clinical data using biomarkers that could be further used to understand how ICB treatments are developed for the future.

Advanced Reinforcement Learning

Plants are getting smarter and bigger in terms of the way they handle various operations and supply chains. To improve ML models, engineers are looking at Reinforcement learning (RL). The RL models could be used to control larger data sets that are used in traffic control, and RPA platforms, such as the ones that are used to control robotic arms, industrial IoT, and prime movers.

RL is also used in cab hailing operations such as the ones used by Uber and Ola.

Genome Data Research

Teams of scientists around the world now rely on a string of Machine Learning training models to analyze billions of data points related to genetic research and map them. ML training models are being developed to phenotype plants species that could be used to understand the impact of evolution, human activities, and environmental factors on the life and growth of various plants.

This is particularly useful in creating new pest and drought resistant crops that could be perfected to harvest food supplies in times of emergency and drought.

Genomic data research is also used to study the impact of evolution on species that are supposedly facing extinction or are already extinct and the biologists wish to bring them back to life in safer habitats.

Object Detection / Deep Learning

Deep learning algorithms are bringing all types of technologies and programming development into the galaxy of AI and ML. Today, we are all interested in gaining real time information on visual data, such as the ones captured by your smartphone. These work in sync with deep neural networks, computer vision, and CNN to detect objects and label them using image classification.

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