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iNFOX Technologies

Machine learning is a scentific study of algorithms and statistical models that computer system use in order to perform a specific task effectively without using explicit instructions, relying on patterns and inference instead.It is seen as a subset of artificial intelligence.

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iNFOX Technologies

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  1. MACHINE LEARNING Machine learning is technologically evolved tool that uses machine intelligence to capture the unexploited areas of business models. For the development for computer program that can access data the machine learning can be used. With the help of observation the process.Machine learning is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. Machine learning has become a key technique for solving problems in areas, such as: Computational finance, for credit scoring and algorithmic trading Image processing and computer vision, for face recognition, motion detection, and object detection Computational biology, for tumor detection, drug discovery, and DNA sequencing Energy production, for price and load forecasting Automotive, aerospace, and manufacturing, for predictive maintenance Natural language processing, for voice recognition applications Classification techniques predict discrete responses—for example, whether an email is genuine or spam, or whether a tumor is cancerous or benign. Classification models classify input data into categories. Typical applications include medical imaging, speech recognition, and credit scoring. Use classification if your data can be tagged, categorized, or separated into specific groups or classes. For example, applications for hand-writing recognition use classification to recognize letters and numbers. In image processing and computer vision, unsupervised pattern recognition techniques are used for object detection and image segmentation.

  2. Common algorithms for performing classification include support vector machine (SVM), boosted and bagged decision Bayes, discriminant analysis, logistic regression, and neural networks. trees, k-nearest neighbor, Naïve Regression techniques predict continuous responses—for example, changes in temperature or fluctuations in power demand. Typical applications include electricity load forecasting and algorithmic trading. Use regression techniques if you are working with a data range or if the nature of your response is a real number, such as temperature or the time until failure for a piece of equipment. Common model, regularization, stepwise trees, neural networks, and adaptive neuro-fuzzy learning. regression algorithms include linear regression, boosted and bagged decision model, nonlinear Machine learning is closely related to computational statistics, which focuses on making predictions using computers. optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning.[3][4] In its application across business problems, machine learning is also referred to as predictive analytics. The study of mathematical Machine learning tasks are classified into several broad categories. In supervised learning, the algorithm builds a mathematical model from a set of data that contains both the inputs and the desired outputs. For example, if the task were determining whether an image contained a certain object, the training data for a supervised learning algorithm would include images with and without that object (the input), and each image would have a label (the output) designating whether it contained the object. In special cases, the input may be only partially available, or restricted to special feedback. Semi-supervised learning algorithms develop mathematical models from incomplete training data, where a portion of the sample input doesn't have labels.

  3. iNFOX Technologies contains many other services like Web Development, Customer software development, Digital Marketing, Forex trading etc... In Web Development We develop website with unique design with an intension to bring you more and more business, to increases the visibility of your products and services to the customers. A custom software solution of an enterprise has an inevitable role in current information technology scenario. Each company has a unique way of working is so unique to full fill the dynamic needs & requirements. iNFOX Technologies has a well experienced Digital Marketing team to carefully analyse the best alternate digital channels for your business. iNFOX Technologies provides a wide range of IT services to small and large enterprises alike. Motion UI, Progressive Web Apps(PWAs), Google AMP, Big Data, Cloud Computing, Machine Learning.

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