Author name: Ramesh Banjade

lBusiness Intelligence Developer with a demonstrated history of working in the banking industry. My area of expertise is centered around the use of cutting-edge tools and technologies, including Power BI, SQL, SQL Server Reporting Services (SSRS), SSAS, Python, Machine Learning, and Predictive Modeling to extract meaningful insights from data and facilitate informed decision making and business growth. Ramesh Banjade Business Intelligence Developer Ramesh Banjade | LinkedIn

Self-Service Business Intelligence(BI) and Its Importance

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Self-service BI (business intelligence) refers to a set of tools, technologies, and processes that enable non-technical users to create their own reports, dashboards, and analytics without requiring the assistance of IT professionals or data analysts. These tools typically include user-friendly interfaces and drag-and-drop functionality, allowing users to easily access and manipulate data from a variety

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The Importance of BI Tools for Data Scientists

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Business Intelligence (BI) tools provide data scientists with a powerful set of capabilities for managing and analyzing data, which enables them to make data-driven decisions that can have a significant impact on business outcomes. BI tools help data scientists to efficiently process large amounts of data, visualize data in meaningful ways, and identify patterns and

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Introduction To Convolutional Neural Network

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A Convolutional Neural Network (CNN) is a type of deep neural network that is commonly used in computer vision tasks such as image classification, object detection, and segmentation. CNNs are inspired by the way the human brain processes visual information and are designed to automatically learn hierarchical representations of features from raw input data. The

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Introduction to Machine Learning

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The term Machine Learning was coined by Arthur Samuel in 1959, an American pioneer in the field of computer gaming and artificial intelligence, and stated that “it gives computers the ability to learn without being explicitly programmed”. Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning generally is to understand

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Python Pandas Library and its Packages

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Pandas is a Python library for data manipulation and analysis. It provides data structures and operations for manipulating numerical tables and time series data. The most commonly used data structures in Pandas are the Series (1-dimensional) and DataFrame (2-dimensional) objects. Pandas makes it easy to work with large datasets and perform operations like filtering, grouping,

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Difference Between Artificial Intelligence, Machine Learning and Deep Learning

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Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are all related fields, but they have some key differences. Artificial Intelligence Machine Learning Deep Learning Design Algorithm that replicates human behavior Train an algorithm to learn from experience Use neural network like algorithms. Functional unit is neuron. It is fields of science for engineering

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