Discover the Expanding Benefits of Machine Learning

Machine learning (ML) extracts meaningful insights from raw data to quickly solve complex, data-rich business problems.

Machine learning algorithms learn from the data iteratively and allow computers to find different types of hidden insights without being explicitly programmed to do so, however, ML is mainly being driven by new computing technologies due to its rapid evolution.

Machine learning in business helps in enhancing business scalability and improving business operations for companies across the globe. Artificial intelligence tools and numerous ML algorithms have gained tremendous popularity in the business analytics community.

Factors such as growing volumes, easy availability of data, cheaper and faster computational processing, and affordable data storage have led to a massive machine learning boom.

Bottom line: Organizations can now benefit by understanding how businesses can use machine learning and implement the same in their own processes.

One important benefit of machine learning for organizations is how it can eliminate manual data entry. Duplicate and inaccurate data are some of the biggest problems faced by companies. Predictive modeling algorithms and ML can significantly avoid any errors caused by manual data entry.

In fact, ML programs make these processes better by using the discovered data. Therefore, the employees can utilize the same time for carrying out tasks that add value to the business.

Along the same lines, machine learning is useful in financial analysis. ML is already being used in finance for portfolio management, algorithmic trading, loan underwriting and fraud detection. However, future applications of ML in finance will include a more advanced use of Chatbots and other conversational interfaces for security, customer service and sentiment analysis.

Want to know more about machine learning? Tonex offers two machine learning courses:

--Machine Learning Control Training, a 3-day course that covers the fundamentals of machine learning, a form and application of artificial intelligence (AI), and the fundamentals of control theory, an area of engineering related to control of continuously operating dynamical systems in engineered processes and machines.

--Machine Learning Training Bootcamp, a 3-day course for data scientists learning about complex theory, algorithms and coding libraries in a practical way with custom examples.

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