Take the first step towards machine learning

Humans can typically create one or two good models a week; machine learning can create thousands of models a week.

-Thomas H. Davenport, Analytics thought leader – excerpt from The Wall Street Journal

Machine learning has evolved from a fuzzy textbook phrase to sophisticated algorithms, omnipresent in our day-to-day lives without us even realizing. We have all been stunned by the growth of technology in this era, whether it is Facebook’s uncanny ability to pick out and tag people or Netflix’s personalized recommendations. Machine learning has become quite the trend in the fourth industrial revolution and is not fizzling out any time soon. It is a part of the broad category of data science, which takes the solution a step further by using algorithms that finally helps in making informed decisions.

As per the Google & MIT Technology Review study, ‘Machine Learning: The New Proving Ground for Competitive Advantage’, 60% of organizations are at varying stages of machine learning adoption, with nearly half (45%) saying the technology has led to more extensive data analysis & insights.

As a job seeker, a career in machine learning is highly lucrative because of a dearth of qualified professionals to fill the open positions. Pursuing a career in machine learning will guarantee you a sought after path, working with cutting edge technology. Some of the biggest tech companies generate most of these jobs, including Apple, Google and Microsoft. To rise to the top in this field, professionals should master the area of coding and Python as a programming language has become a juggernaut already.

Take this leap with us and gain the skills to transform a one-line problem statement into a tested prediction model that solves the problem. Cognixia is hosting a live webinar on “Take the first step towards machine learning” on 11 September 2019 from 7:30 PM to 9:00 PM IST.

This webinar broadly covers:

• AI & machine learning landscape
• Tools, programming languages for machine learning
• Applications in data science
• Project lifecycle of ML in case of data science
• Supervised, unsupervised and reinforcement learning
• Regression, classification, clustering and anomaly detection
• Popular ML algorithms

Every participant who attends the complete webinar will get a Certificate of Participation from Cognixia.