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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. They construct pipelines to collect and transform data from many sources.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design. They suggest recommendations to management to increase the efficiency of the business and develop new analytical models to standardize data collection.

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Java for Data Science – When & How To Use

Knowledge Hut

We are listing some of the Java and data science tools that would help you to keep a suitable interface to the production stack. The Java Virtual Machine (JVM) is especially good for documenting code that looks matching on multiple platforms and it works well the big data space. The majority of code in Java is experimental.

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Best Data Science Books for Beginners and Experienced [2024]

Knowledge Hut

In this list, you will find the best data scientist books to take you further in your career as a data scientist. Deep Learning By Ian Goodfellow, Yoshua Bengio, and Aaron Courville As an advanced learner, this book should be your Bible for learning about deep learning algorithms.

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Artificial Intelligence Career 2022

U-Next

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Like Java, C, Python, R, and Scala.

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15 Popular Machine Learning Frameworks for Model Training

ProjectPro

TensorFlow It has a collection of pre-trained models and is one of the most popular machine learning frameworks that help engineers, deep neural scientists to create deep learning algorithms and models. MXNet MXNet is a choice of all Deep Learning developers. Keras fails to handle low-level computation.

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Java vs Python for Data Science in 2023-What's your choice?

ProjectPro

SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis. It contains a wide range of supervised and unsupervised learning algorithms that work on a consistent Python interface. Spark provides built-in libraries in Java, Python, and Scala.

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