Machine Learning Methods
Techniques
Insights Generation
Common Data Analysis Techniques
Exploration
Data Science
Techniques
Forecasting
Demand Forecasting 
forecasting can be categorized into two main types: Type Description
Methods Qualitative Forecasting Based on expert judgment, intuition, and subjective evaluation
...Demand Forecasting Recent advancements in technology have significantly improved demand forecasting capabilities:
Machine Learning: Algorithms can analyze vast amounts of data to identify patterns and make predictions
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Data Mining and Statistics 
Statistical
Methods in Data Mining 5
...Data mining combines techniques from statistics,
machine learning, and database systems
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Techniques 
It involves the use of statistical
methods and data visualization techniques to present data in a meaningful way
...Predictive Analytics Predictive analytics uses statistical models and
machine learning techniques to forecast future outcomes based on historical data
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Insights Generation 
Data Analysis: Utilizing statistical
methods and algorithms, analysts examine the data to identify trends, patterns, and correlations
...Predictive Analytics Uses statistical models and
machine learning techniques to forecast future outcomes based on historical data
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Common Data Analysis Techniques 
Common
Methods Summary Statistics: Measures such as mean, median, mode, variance, and standard deviation
...Predictive Analysis Predictive analysis uses statistical algorithms and
machine learning techniques to identify the likelihood of future outcomes based on historical data
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Exploration 
Exploration can involve various techniques, including data mining, statistical analysis, and
machine learning ...Methods of Exploration There are several methods employed in the exploration of big data, each with its unique advantages: Method Description Applications Data Mining The process of discovering
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Data Science 
Data Science is an interdisciplinary field that utilizes scientific
methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data
...Machine Learning: Implementing algorithms that allow computers to learn from data and make predictions
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Techniques 
It combines techniques from NLP,
machine learning, and statistics
...Feature Extraction: Transforming text into a structured format, often using
methods like Bag of Words or TF-IDF (Term Frequency-Inverse Document Frequency)
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Forecasting 
It involves the use of historical data, statistical algorithms, and
machine learning techniques to predict future outcomes
...Types of Forecasting Forecasting can be categorized into several types based on the
methods used and the nature of the data
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Sentiment Tracking 
patterns in consumer behavior Monitor brand reputation Enhance marketing strategies Improve product development
Methods of Sentiment Tracking Sentiment tracking can be performed using various methods, which can be broadly categorized into three types: Method
...Machine Learning Involves training algorithms on labeled datasets to recognize sentiment based on features extracted from the text
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