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What is Machine Learning? Machine Learning is a subfield of Artificial Intelligence that incorporates statistical models and algorithms to help computer systems learn from data and improve their performance on specific tasks. The core objective of Machine Learning is to enable computers to perform complex decision-making processes by learning from large datasets and providing accurate Read More

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Introduction to Autonomous Systems Autonomous systems, once the stuff of science fiction, have become a reality in our world today. From self-driving cars to drones, robots, and smart homes, autonomous systems have made their way into our daily lives. This article intends to explore what autonomous systems are, how they have evolved over the years, Read More

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Introduction to Predictive Analytics Tools As businesses continue to collect vast amounts of data, it becomes increasingly challenging to make informed decisions that drive growth and improve customer experience. Predictive Analytics Tools can help bridge this gap by analyzing data patterns, identifying trends, and forecasting outcomes. In this article, we’ll explore what predictive analytics is, Read More

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1. Introduction to Neural Network Libraries Neural networks are being used more and more in today’s technology landscape, powering everything from image recognition algorithms to natural language processing tools. However, building a neural network from scratch can be a daunting task, especially for those without a strong background in computer science. That’s where neural network Read More

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Introduction to Reinforcement Learning Reinforcement learning is a machine learning technique that involves training an agent to make decisions based on trial and error. It is an iterative process where the agent interacts with an environment, receives rewards or penalties based on its actions, and adjusts its behavior accordingly. What is Reinforcement Learning? Reinforcement learning Read More

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Graphical Models Libraries are powerful tools that allow developers and data scientists to build complex models with more accuracy and less complexity. These libraries help in capturing the dependencies and relationships among variables in a probabilistic graphical model. With the increasing complexity of modern-day problems, graphical models have become the standard technique to model various Read More

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I am going to tell you the Difference between AIOps and Artificial intelligence (AI) on the basis of their Definition and how they work and what are the components of them. So let’s start. What is AIOps? AIOps stands for artificial intelligence for operations team promises to improve the events correlation, speed root cause analysis, Read More

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Source – https://healthitanalytics.com/ A case of machine learning in healthcare shows that algorithms and liquid metal could lead to the development of prosthetic hands having the ability to feel objects. By using machine learning in healthcare, researchers from Florida Atlantic University’s College of Engineering and Computer Science and collaborators are creating prosthetic hands that can Read More

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Source – https://blog.executivebiz.com/ The Defense Threat Reduction Agency wants information on companies, universities and other organizations working on artificial intelligence, machine learning and data science technologies that could help counter weapons of mass destruction and other emerging threats. DTRA intends to use AI, ML and data science tools to improve decision-making and situational awareness for countering WMD Read More

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Source – https://www.analyticsinsight.net/ Tech jobs in India are waiting for tech professionals to fill in soon In the post-pandemic period where the job loss has been increasing in a few sectors, on the other side tech jobs are offering much-needed cushion by opening doors to new positions and opportunities. Many IT companies are looking for talents as Read More

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Soure – https://healthitanalytics.com/ A study reveals the use of machine learning algorithms leveraging EHR data could assist in a patient’s lung cancer prognosis. By using machine learning algorithms, researchers examined if creating a large-scale electronic health record (EHR) data-based lung cancer cohort could be effective in studying a patient’s prognosis and estimating survival. The cohort Read More

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Source – https://www.techiexpert.com/ As machine learning has advanced throughout time, a multitude of sectors has utilized it to innovate and streamline corporate processes. AI and machine learning have been used to improve client experiences in a variety of industries, including healthcare, commerce, industrial, defense, and academia. Machine learning has revolutionized the way tiny data is processed. It Read More

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Source – https://www.analyticsinsight.net/ From voice assistants to self-driving cars, artificial intelligence and machine learning are overtaking every aspect of the industrial sector. Machine learning algorithms are used to automate laborious tasks in businesses to discover patterns in existing data without being explicitly programmed. The field is continuously evolving and high-value predictions are being used to Read More

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Source – https://www.statnews.com/ Assistive technologies such as handheld tablets and eye-tracking devices are increasingly helping give voice to individuals with paralysis and speech impediments who otherwise would not be able to communicate. Now, researchers are directly harnessing electrical brain activity to help these individuals. In a study published Wednesday in the New England Journal of Medicine, researchers Read More

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Source – https://www.analyticsinsight.net/ The machine learning approach is used for drowsiness detection of drivers to reduce the number of road accidents per year. Integration of machine learning algorithms into computer vision can help to detect whether drivers are feeling drowsy through video streams and facial recognition. IIT Ropar has built an algorithm that can extract Read More

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Source – https://www.paymentsjournal.com/ Machine learning is nothing new, but during the pandemic, fraudulent activity hit an all-time high, and its popularity soared. Now, it is the primary tool used for mitigating fraud, and companies like ACI Worldwide are leading the charge in developing algorithms and models to serve each and every one of their customers. To further Read More

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Source – https://www.analyticsinsight.net/ Pharmaceutical professionals believe artificial intelligence (AI)will be the most disruptive technology in the industry in 2021. As AI and machine learning (ML) become crucial tools for keeping pace in the industry, clinical development is an area that can substantially benefit, delivering significant time and cost efficiencies while providing better, faster insights to inform decision Read More

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Source – https://www.producer.com/ As nanotechnology hits its stride in agriculture, advances in machine learning are being harnessed to make field operations more effective while improving food safety. Nanoparticles are extremely small, measured in billionths of a metre or nanometres. This is the realm of molecules — it takes about three water molecules to make one Read More

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Source – https://www.analyticsinsight.net/ Organizations find it very tricky to implement machine learning. Enterprises are deploying machine learning projects for various applications in a wide range of businesses. These applications incorporate predictive analytics, conversational systems, autonomous systems, goal-driven systems, etc. If you need to benefit from your business data and automate processes like never before, this Read More

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Source – https://www.analyticsinsight.net/ The organization leverages big data analytics for effective customer experience. With digital transformation and innovation, access to a huge pile of information as well as data which includes buying behaviour and preferences of customers has become easily available. Unlike traditional CRM information, data is now collected increasingly from blogs, social media posts through the Read More

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Source – https://www.analyticsinsight.net/ 8 Things to look for in a Machine Learning Consultancy Most of the companies fall back on building an AI team since it is hard to find efficient people. And so many companies source their AI team from outside. But what about the machine learning consultancy?  It’s hard to find a consulting firm when you’re a Read More

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Source – https://www.analyticsinsight.net/ Automated predictive analysis is making way for the greatest transformations in the industries! Automated predictive analysis, or predictive analytics, uses historical data to predict future events. Throughout history, humans are obsessed with predicting the future. The fear of the unknown has led several scientific researchers and professors to develop technologies that can determine Read More

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Source – https://www.3dprintingprogress.com/ Deep learning software specialist Intellegens has enhanced its solution for Additive Manufacturing (AM) with the launch of a new Alchemiteâ„¢ AM Package. The ready-to-go bundle of machine learning software, analysis tools, and implementation services is designed to help AM teams extract value from their data, optimise build parameters and ensure more repeatable Read More

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Source – https://www.forbes.com/ Chief Technology Officer at Unit4, overseeing development of intelligent software for service organizations. There’s a lot of hype around machine learning, but what does it really mean in the context of enterprise software? How does it work, where is it adding business value today, and what should we expect from it in the future? Let’s Read More

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Source – https://www.analyticsinsight.net/ MLOps, or machine learning operations, has become the new buzzword in the industry, is giving rise to new job roles, and businesses are deriving insane results after implementing it. Currently, we are in a position where every other company is trying to incorporate AI and ML technologies into their products or services. The increased use of disruptive technologies Read More

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Artificial Intelligence