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  • Machine Learning: Algorithms in the Real World Specialization

    Machine Learning: Algorithms in the Real World Specialization

    Description This specialization is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this specialization will set you up to define, train, and maintain a successful machine learning application. After completing all four courses, you…

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  • Big Data Applications: Machine Learning at Scale

    Big Data Applications: Machine Learning at Scale

    Description Machine learning is transforming the world around us. To become successful, you’d better know what kinds of problems can be solved with machine learning, and how they can be solved. Don’t know where to start? The answer is one button away. During this course you will: – Identify practical problems which can be solved…

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  • Machine Learning for Data Analysis

    Machine Learning for Data Analysis

    Description Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course…

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  • Machine Learning: Classification

    Machine Learning: Classification

    Description Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,…). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when…

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  • Machine Learning: Regression

    Machine Learning: Regression

    Description Case Study – Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,…). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes…

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  • Machine Learning: Clustering & Retrieval

    Machine Learning: Clustering & Retrieval

    Description Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search…

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  • Machine Learning Foundations: A Case Study Approach

    Machine Learning Foundations: A Case Study Approach

    Description Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course,…

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  • Applied Machine Learning in Python

    Applied Machine Learning in Python

    Description This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. The issue of dimensionality of…

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  • Machine Learning for All

    Machine Learning for All

    Description Machine Learning, often called Artificial Intelligence or AI, is one of the most exciting areas of technology at the moment. We see daily news stories that herald new breakthroughs in facial recognition technology, self driving cars or computers that can have a conversation just like a real person. Machine Learning technology is set to…

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  • Project Planning and Machine Learning

    Project Planning and Machine Learning

    Description This is part 2 of the specialization. In this course students will learn : * How to staff, plan and execute a project * How to build a bill of materials for a product * How to calibrate sensors and validate sensor measurements * How hard drives and solid state drives operate * How…

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