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Data Science Tutorial using Python

Viso.ai

Data science is a multidisciplinary field that relies on scientific methods, statistics, and Artificial Intelligence (AI) algorithms to extract knowledgable and meaningful insights from data. Data Science Process Data Acquisition The first step in the data science process is to define the research goal.

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Data Science growth profile and salary trend India: Unveiling the path to success

Pickl AI

As businesses increasingly rely on data for decision-making, the Data Science career trajectory is on an upward curve. This trend is not merely about numbers but signifies a transformative shift towards harnessing the power of data for innovation and success in diverse industries. Why become a Data Scientist?

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning Blog

Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it. Sharmo Sarkar is a Senior Manager at Vericast.

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AI Strategist: Driving Business Transformation Through Artificial Intelligence

Pickl AI

Deep Knowledge of AI and Machine Learning : A solid understanding of AI principles, Machine Learning algorithms, and their applications is fundamental. Data Science Proficiency : Skills in Data Analysis, statistics, and the ability to work with large datasets are critical for developing AI-driven insights and solutions.

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­­How CCC Intelligent Solutions created a custom approach for hosting complex AI models using Amazon SageMaker

AWS Machine Learning Blog

These are a class of models that encapsulate proprietary algorithms and subject matter domain expertise that CCC has honed over the years. These models should be able to ingest new layers of nuanced data and customer rules to create single prediction outcomes. Daniel Suarez is a Data Science Engineer at CCC Intelligent Solutions.