I will do data science, matlab programming, python and bot project developer

I will do data science, matlab programming, python and bot project developer

In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data.

Get I will do data science, matlab programming, python and bot project developer

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. 

It is related to data mining, deep learning and big data. Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data. These insights can be used to guide decision making and strategic planning12.

Deep learning is a subset of machine learning that teaches computers to do what comes naturally to humans: learn by example. 

It is essentially a neural network with three or more layers that attempts to simulate the behavior of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. 

With deep learning, relevant features are automatically extracted from images123.

Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without being explicitly programmed. 

It is a field devoted to understanding and building methods that let machines “learn” – that is, methods that leverage data to improve computer performance on some set of tasks. 

Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to perform the task12.

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. 

It involves the development of algorithms that can perform tasks that typically require human intelligence such as visual perception, speech recognition, decision-making, and language translation. AI is used in many industries such as healthcare, finance, education, transportation and more .

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