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Machine Learning Pipelines with Azure ML Studio

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Machine Learning Pipelines with Azure ML Studio What can Azure ML pipelines do? In this project-based course, you are going to build an end-to-end machine learning pipeline in Azure ML Studio, all without writing a single line of code! This course uses the Adult Income Census data set to train a model to predict an individual's income. It predicts whether an individual's annual income is greater than or less than $50,000. The estimator used in this project is a Two-Class Boosted Decision Tree classifier.


How To Create An AI (Artificial Intelligence) Model

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"On average, the data preparation process takes 2X or in some cases 3X longer that just the design of the machine learning algorithm," said Valeria …


How Remote Work Can Fuel The New AI Tech Centers

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This is especially true for organizations with computer programming, data science, artificial intelligence, engineering, and machine learning workforce.


Researchers say AI tools could make justice systems more just

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Freeing up that data -- and using machine learning tools to make sense of it -- would help make the justice system more just.



Data and Analytics Leaders: Rewire Your Culture for an AI-Augmented Future

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Despite the promise of artificial intelligence (AI) and machine learning (ML), the greatest challenge of all is not data or process or technology -- it is culture. Such technologies have promised automation galore and insight discovery at the flip of a switch. But culture continues to impede our ability to realize this promise. Data and analytics leaders need to put critical touchstones in place today to ensure the right decisions are taken in the right way at the right time and for the right outcome. This special report provides the insight, best practices and critical touchstones you need to set up now in order to help rewire your culture.


Logistic Regression from Scratch with Only Python Code

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In this article, we will build a logistic regression model for classifying whether a patient has diabetes or not. The main focus here is that we will only use python to build functions for reading the file, normalizing data, optimizing parameters, and more. So you will be getting in-depth knowledge of how everything from reading the file to make predictions works. If you are new to machine learning, or not familiar with logistic regression or gradient descent, don't worry I'll try my best to explain these in layman's terms. There are more tutorials out there that explain the same concepts.


Global Big Data Conference

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Every department in a company has its own challenges. In the case of Human Resources, recruitment and onboarding processes, employee orientations, process paperwork, and background checks is a handful and many a time painstaking – mostly because of the repetitive and manual nature of the work. The most challenging of all is engaging with employees on human grounds to understand their needs. As leaders today are observing the AI revolution across every process, Human resources is no exception: there has been a visible wave of AI disruption across HR functions. According to an IBM's survey from 2017, among 6000 executives, 66% of CEO's believe that cognitive computing can drive compelling value in HR while half of the HR personnel believe this may affect roles in the HR organization.


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We have created a set of concise and comprehensive videos to teach you all the Excel related skills you will need in your professional career. With each lecture, we have provide a practice sheet to complement the learning in the lecture video. These sheets are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job. Check if you have learnt the concepts by comparing your solutions provided by us. Ask questions in the discussion board if you face any difficulty.


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Artificial Intelligence seems to be a unique technology of making a machine, a robot fully autonomous. AI is an analysis of how the machine is thinking, studying, determining and functioning when it is trying to solve problems. These kind of problems are present in all fields, the most emerging ones in 2020 and even beyond. The aim of Artificial Intelligence is to enhance machine functions relating to human knowledge, such as reasoning, learning and problems along with the ability to manipulate things. For example, virtual assistants or chatbots offer expert advice.