How to become an ML Engineer at top Product Companies?

About the Webinar

Machine learning engineers — advanced programmers who develop artificial intelligence (AI) machines and systems that can learn and apply knowledge — are in high demand, as more companies adopt these technologies. ML engineers perform sophisticated programming and work with complex data sets and algorithms to train intelligent systems. In this webinar you will get to understand how ML engineers are solving complex real-world problems, What kind of skills do they have and What path they should choose to excel in this field without any prior experience?

Agenda

1. Machine Learning Fundamentals
2. Difference between Ds v/s AI v/s ML
3. Companies Hiring Machine Learning Engineers
4. Skill needed to become an ML Professional?
5. Resources and Projects for Career in Machine Learning

About the trainer

Mr Aayush Kubba is an AI and data science professional with strong business acumen and 10 years of technical experience. He has experience in DS, AI, and ML along with toolkits such as Python (Numpy, Scikit-Learn, Keras, Scikit-Surprise, XGBoost, Tensor flow) and a good working knowledge of various machine learning models like Decision Trees, Random Forest, Bagging, Boosting, Naïve Bayes, KNN, Logistic Regression, Linear/Polynomial Regression, Neural Networks, Clustering(K-Means), GBM, Deep Learning, Time Series Forecasting.