At MMF InfoTech, we create cutting-edge Artificial Intelligence and Machine Learning digital products and solutions designed to cater to your specific business needs while helping you pave the way in your industry. From chat-bots to systems that predict customer behavior, we build potent technologies that help you reduce the need for human labor while cutting down overall, overhead cost. Our AI solutions are designed to help you achieve complex tasks faster with no margin for human error while maximizing accuracy without human intervention. With our Machine learning services, businesses can optimize their processes, collect data and analyze it to help them make complex decisions without having to go through intricate rounds of physical sorting and classification.
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Deep leaning theory
Deep learning is actually closely related to a class of theories about brain development proposed by cognitive neuroscientists in the early '90s. Just like
Predictive analytics uses historical data to predict future events. Typically, historical data is used to build a mathematical model that captures important trends.
Capsule Network proved to be a huge success. This notebook introduces and implements a Capsule Network in Keras and evaluates its performance in the DonorsChoose.
Lean & Augmented Data Learning
Data augmentation means increasing the number of data points. In terms of images, it may mean that increasing the number of images in the dataset.
Natural Language Processing
Natural Language Processing (NLP) is all about leveraging tools, techniques and algorithms to process and understand natural language-based data.
Pattern Recognition/ Classification
the process of recognizing patterns by using the machine learning algorithm. data based on knowledge already gained or on statistical information extracted from patterns
A human brain consists of neurons that process and transmit information between themselves. There are dendrites that receive inputs.
Automated Machine Learning
practices from top-ranked data scientists to make data science more accessible across the organization.
In it, you'll learn how to use the PP paradigm to model application domains and then express those probabilistic models in code.
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