Perhaps the most talked about and exciting development in the AI field is the development of Machine Learning, a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience.
Machine Learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. The algorithms adaptively improve their performance as the number of samples available for learning increases.
The name Machine Learning was created in 1959 by Arthur Samuel, an American computer scientist trailblazer in the field of computer gaming and AI. Over the years, Machine Learning has evolved to the point where it is currently used by organizations and agencies in a wide range of computing tasks where designing and programming explicit algorithms is difficult or infeasible.
Applications include the likes of:
- Computer vision
- Learning to rank
- Email filtering
- Detection of network intruders
- Impending date breach
- Optical character recognition (OCR)
The benefits of ML are just now starting to be realized, especially in the business and healthcare landscapes.
In the finance sector, for example, some of the common machine learning benefits include portfolio management, algorithmic trading, loan underwriting and most importantly fraud detection. Additionally, ML facilitates continual data assessments for detecting and analyzing anomalies and nuances, which helps in improving the precision of financial models and rules.
In the healthcare industry, ML helps in easy identification of high-risk patients, makes near perfect diagnoses, recommends best possible medicines, and predicts readmissions. These are predominantly based on the available datasets of anonymous patient records as well as the symptoms exhibited by them.
Near accurate diagnoses and better medicine recommendations facilitate faster patient recovery without the need for extraneous medications. In this way, ML makes it possible to improve patient health at minimal costs.
In manufacturing, ML can be of great help. ML helps in the creation of highly efficient predictive maintenance plans. Following such predictive maintenance plans minimize the chances of unexpected failures, thereby reducing unnecessary preventive maintenance activities.
Machine learning has also been a godsend at spam detection. Consider an email spam detection algorithm. Original spam filters would simply blacklist certain addresses and allow other mail through. ML has enhanced this considerably by comparing verified spam emails with verified legitimate email and seeing which “features” were present more frequently in one or the other.
In other words, with the advent of ML, spam filters are making new rules using brain-like neural networks to eliminate spam mails. The neural networks recognize phishing messages and junk mail by evaluating the rules across a huge network of computers.
Machine Learning Classes
Tonex offers a 3-day Machine Learning Training Bootcamp technical training course covering the fundamentals of machine learning and many more topics such as:
- Machine Learning Techniques, Tools and Algorithms
- Data and Data Science
- Review of Terminology and Principles
- Principal Component Analysis
- Principles of Neural Networks
Who Should Attend
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.
Managers who need the vision and understanding of the many opportunities, costs, and likely performance hurdles in predictive modeling, especially as they pertain to large amounts of textual (or similar) data.
Why Tonex?
–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.
–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
For more information, questions, comments, Contact us