I am a data scientist with a strong background in programming, including Python and SQL. I am graduate with a Master's degree in SCMS (Data Science) and less than 1 year of experience. I have worked with large datasets and complex machine learning models. I am looking to take my experience further by working as a data scientist in a company that values innovation and has a strong focus on user experience
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A strong foundation in mathematics and statistics is essential to understanding the underlying principles of data science, including probability theory, linear algebra, calculus, and statistical inference.
Machine learning is a type of artificial intelligence that enables computers to learn from data and make predictions or decisions. It involves training algorithms on a large dataset to identify patterns, and then using those patterns to make predictions on new data.
Deep learning is a subfield of machine learning that uses complex neural networks to learn from data. It involves processing large amounts of data through many layers of the network to identify patterns and relationships. Deep learning has achieved breakthroughs in areas such as image and speech recognition, natural language processing
Artificial intelligence (AI) is a broad field that involves developing machines that can perform tasks that typically require human intelligence. It includes a range of techniques such as machine learning, natural language processing, and computer vision. AI has applications in many areas, including healthcare, finance, and transportation.
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