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Data Science Practical:Real world Machine Learning Projects

Data Science Practical:Real world Machine Learning Projects

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A groundbreaking study in 2020 reported 90% of the entirety of the world s data has been created within the previous two years. Let that sink in. In just two years, we’ve collected and processed 9x the amount of information than the previous 92,000 years of humankind combined. And it isn t slowing down. It s projected we ve already created 2.7 zettabytes of data, and by 2025, that number will balloon to an astounding 44 zettabytes.

What do we do with all of this data? How do we make it useful to us? What are it’s real–world applications? These questions are the domain of data science.

Every company will say they re doing a form of data science, but what exactly does that mean? The field is growing so rapidly, and revolutionizing so many industries, it’s difficult to fence in its capabilities with a formal definition, but generally data science is devoted to the extraction of clean information from raw data for the formulation of actionable insights.

Commonly referred to as the oil of the 21st century, our digital data carries the most importance in the field. It has incalculable benefits in business, research and our everyday lives. Your route to work, your most recent Google search for the nearest coffee shop, your Instagram post about what you ate, and even the health data from your fitness tracker are all important to different data scientists in different ways. Sifting through massive lakes of data, looking for connections and patterns, data science is responsible for bringing us new products, delivering breakthrough insights and making our lives more convenient.A groundbreaking study in 2013 reported 90% of the entirety of the world s data has been created within the previous two years. Let that sink in. In just two years, we’ve collected and processed 9x the amount of information than the previous 92,000 years of humankind combined. And it isn t slowing down. It s projected we ve already created 2.7 zettabytes of data, and by 2020, that number will balloon to an astounding 44 zettabytes.

Instructor Details

TheMachineLearning. org mission is to make highly valuable career skills in machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you. TheMachineLearning. org leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by optimizing processes, maximizing efficiency and increasing profitability.

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Data Science Practical:Real world Machine Learning Projects
Data Science Practical:Real world Machine Learning Projects

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