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Artificial Intelligence (AI) is the broader concept of machines being able to carry out tasks in a way that humans would consider “smart.”

Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves. Machine Learning is a field of computer science that uses statistical techniques to give computer systems the ability to “learn” (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

Both terms often appear when the discussion turns to Big Data — data sets that are so voluminous and complex that traditional data processing application software is inadequate to deal with them.

All three terms reflect the rapidly changing world we live in.

Machine Learning has received much attention of late, and for good reason. With the rise in Big Data, machine learning has become a key technique for solving problems in areas such as:

  • Computational finance, for credit scoring and algorithmic trading
  • Image processing and computer vision, for face recognition, motion detection and object detection
  • Computational biology, for tumor detection, drug discovery and DNA sequencing
  • Energy production, for price and load forecasting
  • Automotive, aerospace and manufacturing, for predictive maintenance
  • Natural language processing, for voice recognition applications

Businesses and organizations working with large amounts of data recognize the benefits of Machine Learning technology. By gaining insights from Big Data (often in real time), industries work more efficiently and can gain advantages over their competition. Some of the organizations focusing on Machine Learning include:

Financial services

Banks and other businesses in the financial industry use machine learning technology to identify important insights in data, and prevent fraud.


Government agencies such as public safety and utilities have a particular need for machine learning since they have multiple sources of data that can be mined for insights.

Health care

Maching Learning has made possible wearable devices and sensors that can use data to assess a patient’s health in real time. The technology can also help medical experts analyze data to identify trends or red flags that may lead to improved diagnoses and treatment.

Marketing and sales

Websites recommending items you might like based on previous purchases are using Machine Learning to analyze your buying history and promote other items you’d be interested in.

Oil and gas

Machine Learning helps find new energy sources, analyze minerals in the ground and predicts refinery sensor failure.


Analyzing data to identify patterns and trends is key to the transportation industry, which relies on making routes more efficient and predicting potential problems to increase profitability.

In general, creating good Machine Learning systems require five elements:

  • Data preparation capabilities
  • Algorithms – basic and advanced
  • Automation and iterative processes
  • Scalability
  • Ensemble modeling.

Training, the Tonex Way

Tonex offers a state of the art, cutting edge course on Machine Learning. Machine Learning Training Bootcamp is a 3-day technical training course that covers the fundamentals of machine learning and much more. Some of the topics covered include:

  • The Basics of Machine Learning
  • Machine Learning Techniques, Tools and Algorithms
  • Data and Data Science
  • Review of Terminology and Principles
  • Applied Artificial Intelligence (AI) and Machine Learning
  • Popular Machine Learning Methods
  • Introduction to Deep Learning
  • Applying Machine Learning
  • Principles of Neural Networks

Why Choose 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.

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