EXPLORING AI PRACTICES: Basics of Data Science, Machine Learning, and Natural Language Processing
Data is one of the important features of every organization because it helps business leaders to make decisions based on insights, facts, statistical numbers, and trends. Data science is an extension of various data analysis fields such as data mining, statistics, predictive analysis, and many more. Data scientists interpret and manage data to help solve complex problems using expertise in a variety of applications. A data scientist spends significant time in the process of collecting and cleaning data, and typically has a foundation in computer science, data management and data modeling, statistics, machine learning, mathematics, and computer programming.
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EXPLORING AI PRACTICES: Basics of Data Science, Machine Learning, and Natural Language Processing
Data is one of the important features of every organization because it helps business leaders to make decisions based on insights, facts, statistical numbers, and trends. Data science is an extension of various data analysis fields such as data mining, statistics, predictive analysis, and many more. Data scientists interpret and manage data to help solve complex problems using expertise in a variety of applications. A data scientist spends significant time in the process of collecting and cleaning data, and typically has a foundation in computer science, data management and data modeling, statistics, machine learning, mathematics, and computer programming.
22.99 In Stock
EXPLORING AI PRACTICES: Basics of Data Science, Machine Learning, and Natural Language Processing

EXPLORING AI PRACTICES: Basics of Data Science, Machine Learning, and Natural Language Processing

EXPLORING AI PRACTICES: Basics of Data Science, Machine Learning, and Natural Language Processing

EXPLORING AI PRACTICES: Basics of Data Science, Machine Learning, and Natural Language Processing

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Overview

Data is one of the important features of every organization because it helps business leaders to make decisions based on insights, facts, statistical numbers, and trends. Data science is an extension of various data analysis fields such as data mining, statistics, predictive analysis, and many more. Data scientists interpret and manage data to help solve complex problems using expertise in a variety of applications. A data scientist spends significant time in the process of collecting and cleaning data, and typically has a foundation in computer science, data management and data modeling, statistics, machine learning, mathematics, and computer programming.

Product Details

ISBN-13: 9781956949797
Publisher: Book Writing Bureau
Publication date: 02/07/2023
Pages: 320
Product dimensions: 6.00(w) x 9.00(h) x 0.67(d)
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