About CP-MLDSF

Machine learning is based on algorithms that can learn from data without relying on rules-based programming.

As ever more of the analog world gets digitized, our ability to learn from data by developing and testing algorithms will only become more important for what are now seen as traditional businesses. Google chief economist Hal Varian calls this “computer kaizen.”

For “just as mass production changed the way products were assembled and continuous improvement changed how manufacturing was done,” he says, “so continuous [and often automatic] experimentation will improve the way we optimize business processes in our organizations.

This is where it is clear, that we are into a computer kaizen world. A world where Machine learning and Data science algorithms are driving this selflearning and continuous learning process and bringing about a massive change in almost every industry. We have machine learning and data science now being used in banking, insurance, health care, sports, manufacturing, smart cities, Iot Solutioning, Automotive, Aviation, Shipping and every other industry for that matter.

Machine learning and Data science need thus has increased multifold in past few years and would keep on increasing. At the same time there is a dearth of experienced professionals who know Machine learning and Data Science. There is no dearth of machine learning and data science programs where folks would need to spend infinite amount of time and efforts to acquire this knowledge. The challenge is for working professionals to spend so much time. Most often this rigor is lost over few weeks or months.

This program solves this issue addresses two basic needs

• Practical tool-based Machine learning and Data Science exposure for every working professional
• Allow working professionals to acquire this knowledge in the most agile manner