Myth 1# ML solutions work only for large-scale businesses.
Machine learning consulting companies can help you streamline and automate time-consuming business processes such as checking documentation, working with statistics, sending emails, managing client data, etc. These business processes take place in companies of different scale. That is, ML can be implemented by any business and in any industry.
Myth 2# Machine learning protects your data from biases.
Machines indeed perform learning in an unbiased and objective way. However, if your data and the training model development are based on bias, the results of machine learning will contain biases, too. Machines do not make mistakes, but humans do. This is why it is exceptionally important to adopt the right models and principles as a result of deep learning consulting.
Myth 3# “ML” and “AI” mean the same.
Not exactly. Artificial Intelligence is a broader term denoting the ability of machines to perform tasks that require smart problem-solving. In their nature, AI-powered tools simulate human behavior and thinking. Meantime, machine learning is the subfield of AI denoting the ability of machines to learn from data on the basis of the trained models.