Tag: Neural Networks

Deep Learning – Driving the Innovation in NLP

NLP – Natural Language Processing, Can’t rule out a very common saying i.e. “Garbage in, garbage out.” Every machine learning model needs quality data, correct, […]

Role of Convolutional Layer in Convolutional Neural Networks

Convolutional Neural Networks – CNN a neural network with some convolutional and other layers. The convolutional layer has a number of filters that do a […]

Demystifying Deep Learning – Back to Basics

Deep learning is a learning scheme that approaches the learning problem by learning the underlying representations; too much of learning. I thats why its also called as representation learning.

Reinforcement Learning

Reinforcement Learning – Reward for Learning

Reinforcement learning can be understood by using the concepts of agents, environments, states, actions and rewards. This is an area of machine learning; where there’s no answer key, but RL agent still has to decide how to act to perform its task. The agent is inspired by behaviourist psychology who decide how and what actions will taken in an environment to maximize some notion of cumulative reward.

DATA – Blue Ocean Shift Strategy (Boss)

BOSS – Blue Ocean Shift Strategy can actually help and create vision to focus on areas such as AI, blockchain for education, health & agriculture, create ecosystems using BigData analytics and IoT. To capture a quick snapshot of this strategy, certainly, Big Data appears to be most effective and efficient driver for Blue Ocean Strategy. Based on a limited set….

2018 Year of Intelligence Augmentation

Year 2018 will be known as year of Artificial Intelligence and Intelligence Augmentation for sure.We used to think artificial intelligence was a silly sci-fi concept but when you really look into it, it seems like its been slowly encroaching into most areas of everyday life! AI would become just a computer inside the robot or another software or a brain siting out of human body.

2018 Year of Intelligence – Artificial & Augmentation

Year 2018 will be known as year of Artificial Intelligence and Intelligence Augmentation for sure.We used to think artificial intelligence was a silly sci-fi concept but when you really look into it, it seems like its been slowly encroaching into most areas of everyday life! AI would become just a computer inside the robot or another software or a brain siting out of human body.

Demystifying AI, Machine Learning and Deep Learning

This was the first serious proposal in the philosophy of artificial intelligence, which can be explained as: a science developing technology to mimic humans to respond in a circumstance. In simple words AI involves machines that behave and think like humans i.e Algorithmic Thinking in general. Computers start simulating the brain’s sensation, action, interaction, perception and cognition abilities.

Data an Unbelievable Hidden Treasure

World Wide Data Wrestling

Big data presents a tremendous opportunity for enterprises across multiple industries especially in the tsunami like data flow industry of “Payments”. FinTech, InsureTech, MedTech are major data generating industries i.e massive group of factories. According to some data from Google it shows technology based innovative insurance companies

AI Role in FinTech

Bringing Artificial intelligence to make FinTech better, demystified and simple. How FinTech intelligence will become better with machine learning. Artificial Intelligence is a field that includes everything that is associated with the data (cleansing, preparation, analysis and many more), Learning processes to describe, diagnose, predict and prescribe with use of AI subfields like Machine Learning, Deep earning and Neural networks. Machine learning is a field of Artificial Intelligence, which is allowed to software applications for making accurate results.