Data Science: Machine Learning
Machine Learning is a popular data science methodology which uses data to build prediction algorithms. It is distinct from other computer-guided decision processes, and is used in many products and services, such as search engines, online recommendations, and voice recognition. It is an important tool for data scientists. ▼
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Course Feature
Cost:
Free
Provider:
Edx
Certificate:
Paid Certification
Language:
English
Start Date:
18th Oct, 2023
Course Overview
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Updated in [March 06th, 2023]
This course, Data Science: Machine Learning, is part of the Professional Certificate Program in Data Science. It provides an introduction to the popular machine learning algorithms and techniques used in data science. Students will learn about training data, and how to use a set of data to discover potentially predictive relationships. They will also learn about principal component analysis and regularization, and how to use them to build a movie recommendation system. Additionally, students will learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.
[Applications]
Upon completion of this course, students can apply their knowledge of machine learning to a variety of real-world applications. They can use the algorithms and techniques learned to build predictive models for a variety of tasks, such as predicting customer churn, predicting stock prices, or predicting the success of a marketing campaign. Additionally, students can use the knowledge gained to develop more efficient and accurate machine learning systems.
[Career Paths]
1. Data Scientist: Data Scientists use machine learning algorithms to analyze large datasets and uncover patterns and trends. They use this data to develop predictive models and create actionable insights. Data Scientists are in high demand and the field is expected to continue to grow as more organizations rely on data-driven decision making.
2. Machine Learning Engineer: Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. They use a variety of programming languages and frameworks to build and optimize machine learning algorithms. This role is expected to grow as more organizations adopt machine learning technologies.
3. Artificial Intelligence Engineer: Artificial Intelligence Engineers are responsible for developing and deploying AI-based solutions. They use machine learning algorithms to create intelligent systems that can learn from data and make decisions. This role is expected to grow as more organizations adopt AI-based solutions.
4. Data Analyst: Data Analysts use machine learning algorithms to analyze large datasets and uncover patterns and trends. They use this data to develop predictive models and create actionable insights. Data Analysts are in high demand and the field is expected to continue to grow as more organizations rely on data-driven decision making.
[Education Paths]
1. Bachelor's Degree in Data Science: A Bachelor's Degree in Data Science is a great way to get started in the field of data science. This degree program will provide students with a comprehensive understanding of data science principles, including machine learning, data mining, and data visualization. Students will also learn about the ethical implications of data science and how to use data to make informed decisions. As the demand for data science professionals continues to grow, this degree path is becoming increasingly popular.
2. Master's Degree in Artificial Intelligence: A Master's Degree in Artificial Intelligence is a great way to gain a deeper understanding of machine learning and its applications. This degree program will provide students with an in-depth understanding of artificial intelligence principles, including natural language processing, computer vision, and robotics. Students will also learn about the ethical implications of artificial intelligence and how to use AI to make informed decisions. As the demand for AI professionals continues to grow, this degree path is becoming increasingly popular.
3. Doctoral Degree in Data Science: A Doctoral Degree in Data Science is a great way to gain a comprehensive understanding of data science principles and their applications. This degree program will provide students with an in-depth understanding of data science principles, including machine learning, data mining, and data visualization. Students will also learn about the ethical implications of data science and how to use data to make informed decisions. As the demand for data science professionals continues to grow, this degree path is becoming increasingly popular.
4. Certificate in Machine Learning: A Certificate in Machine Learning is a great way to gain a comprehensive understanding of machine learning principles and their applications. This certificate program will provide students with an in-depth understanding of machine learning principles, including supervised and unsupervised learning, neural networks, and deep learning. Students will also learn about the ethical implications of machine learning and how to use machine learning to make informed decisions. As the demand for machine learning professionals continues to grow, this certificate path is becoming increasingly popular.
Course Provider
Provider Edx's Stats at AZClass
Machine learning is a popular data science approach that uses data to build predictive algorithms. It differs from other computer-guided decision-making processes and is used in many products and services such as search engines, online recommendations, and speech recognition. Learners can study data science in the following areas: Machine Learning: Learners will understand how to use a set of data to discover potentially predictive relationships. They will learn how to train algorithms using training data in order to predict outcomes on future datasets. Learners will learn about popular machine learning algorithms, principal component analysis, and regularization. They will learn how to use these algorithms to build a movie recommendation system.
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