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AI Byte-Sized Series: Machine Learning Model Deployment
Duration: 90 Minutes Code: BDT76Category:
All Courses,Artificial Intelligence & Data Science,Byte-Sized Machine Learning/AI Series Learning Path,A short session indented to explore different tools involved to deploy machine learning models.
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AI Byte-Sized Series: Data Visualization
A short session indented to get started with using tools to visualize data as part of data exploration prior to doing machine learning on the data.
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AI Byte-Sized Series: Data Exploration and Analysis
A short session indented to get started with exploring and analyzing data prior to applying the data to build Machine Learning models. Additionally, we will learn about popular tools used to perform such analysis.
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AI Byte-Sized Series Classification Algorithm
A short session indented to get started with Classification Algorithm to classify structured data and make predictions.
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Getting Started with Machine Learning using Apache Spark
This course teaches how to get started with Machine Learning in Apache Spark environment. This course is intended for data scientists and software engineers.
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Real World Use cases of AI and Data Science
This Real World Use cases of AI and Data Science Lecture will expose you to real-world applications of data science and why it’s become such an integral part of business and academia.
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Data Science & Image Processing for Healthcare
Data science and digital image processing are becoming an increasingly integral part of health care. This course will expose you to many of the ways that data science is used to extract innovative and actionable insights from healthcare-related datasets and medical imaging.
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How to think like a data scientist
This session addresses these questions among others, it discusses the basics of data science and the Data scientist mindset involved in problem solving using data.
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AI for Image and Video Processing and Computer Vision
Computer Vision is a rapidly evolving segment of Artificial Intelligence, encompassing diverse practical applications and techniques.
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Artificial Intelligence for Text, NLP and Forecasting
Most of the data collected these days are unstructured. A large and vital part of this unstructured data is in a text format. AI and Deep Learning techniques enable the use of text for a wide range of applications including language understanding and translation.