Machine Learning Education
Machine Learning Education: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
Machine learning may sound complex but in actuality it is a mixture of simple and complex algorithms from lazy learners like KNN classifiers through to more complex ones like deep learning
People are using such algorithms without even knowing that they are part of machine learning.
For example, in financial services, machine learning helps financial services firms track customer happiness. By analyzing user activity, smart machines can spot a potential account closure before it occurs. They can also track spending patterns and customer behavior to offer tailored financial advice.
Another application of machine learning is market analysis. Smart machines can be trained to track trading volatility or manage wealth and assets on behalf of an investor. These algorithms can identify trends more efficiently than humans and react in real time.
In healthcare, smartwatches and other wearable devices have made health telemetry a reality. But machine learning is taking things one step further, allowing doctors and relatives to monitor the health of elderly family members.
The more personal data these algorithms are fed, the better they understand a user’s profile, enabling healthcare professionals to spot potential anomalies earlier on.
Machine learning algorithms are probably behind some of your favorite online retailers. Companies such as Amazon use this technology to offer a highly-personalized service such as online recommendations. Machine learning allows retailers to offer you personalized recommendations based on your previous purchases or activity.
Machine Learning Education
Tonex offers a 3-day Machine Learning Training Bootcamp where participants will learn, comprehend and master ideas on machine learning concepts, key principles, and techniques including: supervised and unsupervised learning, mathematical and heuristic aspects, modeling to develop algorithms, prediction, linear regression, clustering, classification, and prediction.
Who Should Attend?
Just about anyone whose work interfaces with data analysis who wants to learn key concepts, formulations, algorithms, and practical examples of what is possible in Machine Learning and Artificial Intelligence.
- Reasonably priced classes taught by the best trainers is the reason all kinds of organizations from Fortune 500 companies to government’s most important agencies return for updates in courses and hands-on workshops
- Presenting highly customized learning solutions is what we do. For over 30 years Tonex has worked with organizations in improving their understanding and capabilities in topics often with new development, design, optimization, regulations and compliances that, frankly, can be difficult to comprehend.
- Ratings tabulated from student feedback post-course evaluations show an amazing 98 percent satisfaction score.
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