Predictive Analytics and Machine Learning: Discovering the Likelihood of a Future Outcome

Predictive analytics (PA) and machine learning (ML) are?powerful tools for uncovering insights in large volumes of data.

Many organizations use machine learning for personalizing consumers' website experiences and predictive analytics for forecasting outcomes of campaigns.

Benefits of predictive analytics and machine learning, include:

• Predictive analytics using machine learning algorithms can?provide more accurate and precise predictions
• Automate decision-making processes
• Scale up to handle large datasets and complex problems

Both machine learning and predictive analytics are used to make predictions on a set of data about the future.

Predictive analytics uses predictive modelling, which can include machine learning. Predictive analytics has a very specific purpose: to use historical data to predict the likelihood of a future outcome.

At its most basic,?analytics of any sort is simply applied mathematics—sometimes known as data science.

The audience of predictive analytics tends to be people, adding an extra level of necessary communication and?interpretability to its work.

To Predictive Analysts, machine learning is an extension of their practice, another tool in their toolbox, that helps them to do their job better. Using ML, predictive analysts can better provide answers, with confidence, to more complex problems.

This combination also offers real-time answers to questions that persist through time with ever-changing data as well as helps explore entirely new kinds of problems.

Want to learn more? Tonex offers Predictive Analytics and Machine Learning Models, a 2-day course where participants learn the core concepts of predictive analytics and machine learning.

Participants will also gain proficiency in data preprocessing, feature engineering, and data visualization as well as learning to master various machine learning algorithms and their applications.

This course is ideal for:

• Data Scientists and Analysts seeking to enhance their predictive modeling skills.
• Business Analysts and Managers interested in leveraging data for decision-making.
• IT professionals looking to transition into data science and machine learning roles.
• Researchers and academics exploring the applications of machine learning.
• Entrepreneurs and business leaders interested in data-driven strategies.

For more information, questions, comments, contact us.