This course is a perfect fit for you. This course will take you step by step into the world of Machine Learning. Machine Learning is the study of computer algorithms that automates analytical model building. It is a branch of Artificial Intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Machine Learning is actively being used today, perhaps in many more places than one world expects.

Have you ever think if the human's work can be done by machine? The answer is Yes! Machine Learning is a technology through which machines can learn from their past experiences. Machine Learning is nothing but a subset of Artificial intelligence through which machines have the ability to learn itself and improve their performances by getting previous experiences without being explicitly(not done by the programmer) programmed. That's a very obvious question of why to learn machine learning. As we know, with increasing the businesses around the world, the data is also growing day by day.

Solve Competitive level Problems like Kaggle Get your Profile Ready for Interviews Machine Learning knowledge is must Suggestion: Complete our " Machine Learning: Become Kaggle Master Course" This course is sufficient to understand all the projects solutions. Want to join Kaggle Competition? Then this is a right course for you. This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will walk you step-by-step how to solve Machine Learning Projects and With every tutorial you will develop new skills which in turn improve your understanding of this challenging yet lucrative sub-field of Data Science.

Modern machine learning world is going crazy over deep learning. People are stacking hundreds and thousands of interconnected artificial neurons to build the most complex of deep neural network than ever. These deep neural nets are able to create the most astonishing AIs that are outperforming humans in many tasks. But just like complex living forms, which evolved from the primitive cellular life, even the deep neural network had its humble beginning as a primitive artificial neuron dating back to McCulloch-Pitts Neuron Model in 1943. Neural Network Primitives is a series to understand the primitive forms of the artificial neural networks and how these were the first building blocks of modern deep learning.