Pratibha Singh

Pratibha Singh

@pratibha_singh

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08/08/2000

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Pratibha Singh @pratibha_singh added blog in Networking
2024-08-03 06:20:40 ·

What are the Main Purpose of Data Science and its Importance ?

Data Science serves several main purposes and holds significant importance in various domains. Here are some key aspects: Extracting Insights: Data Science is primarily about extracting valuable insights and knowledge from data. By analyzing large datasets, patterns, trends, and correlations can be identified, leading to informed decision-making. Predictive Analysis: Data Science enables...

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Pratibha Singh @pratibha_singh added blog in Networking
2024-07-22 08:18:09 ·

What is the trend of data science?

The trend of data science is evolving rapidly, driven by advancements in technology, increased availability of data, and growing demand across various industries. Here are some key trends shaping the field:Artificial Intelligence and Machine Learning:Greater integration of AI and machine learning in data science, leading to more sophisticated models and automation.Emphasis on explainable AI...

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Pratibha Singh @pratibha_singh added blog in Other
2024-06-22 08:54:46 ·

Building a Career in Data Science: Data Science Roles

Building a career in data science offers a variety of roles that cater to different skills and interests. Here are some common data science roles you can consider: Data Analyst: Data analysts focus on interpreting data, analyzing trends, and creating reports or visualizations to help businesses make informed decisions. They typically work with structured data using tools like SQL, Excel,...

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Pratibha Singh @pratibha_singh added blog in Networking
2024-01-04 08:19:20 ·

What Are The Career Opportunities In Artificial Intelligence ?

Artificial Intelligence (AI) offers a wide range of career opportunities across various industries due to its rapid growth and integration into different sectors. Some of the prominent career paths and job roles in AI include: Machine Learning Engineer: These professionals design, develop, and deploy machine learning models and algorithms. They work on data analysis, feature engineering,...

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