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Building a Machine Learning Pipeline
Learn the in-depth concepts, principles and best practices of building end-to-end machine learning pipelines. Enroll in Udacity's online training course today.
Prerequisite details
Read more
Learn the in-depth concepts, principles and best practices of building end-to-end machine learning pipelines. Enroll in Udacity's online training course today.
Prerequisite details
Read more
Learn the in-depth concepts, principles and best practices of building end-to-end machine learning pipelines. Enroll in Udacity's online training course today.
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Command line interface basics
- Intermediate Python
- Basic machine learning
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/tgpwt2/building
What's inside
Syllabus
Create a re-usable end-to-end pipeline for predicting short-term rental prices in New York City!
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches professionals to build end-to-end ML pipelines for predicting short-term rental prices in New York City, which is core to the real estate domain
Builds a solid understanding of the concepts, principles, and best practices of machine learning pipelines
Taught by Udacity, a recognized provider of online training courses in the tech industry
Requires fluency in written and spoken English, which may be a barrier for non-native speakers
Assumes prior knowledge in command line interface basics, intermediate Python, and basic machine learning, which may not be suitable for complete beginners
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Activities
Coming soon
We're preparing activities for
Building a Machine Learning Pipeline.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Building a Machine Learning Pipeline will develop knowledge and skills
that may be useful to these careers:
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with users to identify business needs, and then they design and develop the software that meets those needs. This course can help you build the skills you need to become a Software Engineer by teaching you the fundamentals of software engineering, as well as how to design and develop software applications. If you're interested in a career as a Software Engineer, this course is a great place to start.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. They work with data scientists to identify business problems that can be solved with machine learning, and then they develop and implement the models that solve those problems. This course can help you build the skills you need to become a Machine Learning Engineer by teaching you the fundamentals of machine learning, as well as how to build and deploy machine learning models. If you're interested in a career as a Machine Learning Engineer, this course is a great place to start.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They work with data to identify trends, patterns, and insights that can help businesses make better decisions. This course can help you build the skills you need to become a Data Scientist by teaching you the fundamentals of data science, as well as how to use data to solve business problems. If you're interested in a career as a Data Scientist, this course is a great place to start.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. They work with data to identify trends, patterns, and insights that can help businesses improve their operations and make better decisions. This course can help you build the skills you need to become a Data Analyst by teaching you the fundamentals of data analysis, as well as how to collect, analyze, and interpret data. If you're interested in a career as a Data Analyst, this course is a great place to start.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data. They work with traders and investors to identify investment opportunities and to manage risk. This course can help you build the skills you need to become a Quantitative Analyst by teaching you the fundamentals of quantitative analysis, as well as how to use mathematical and statistical models to analyze financial data. If you're interested in a career as a Quantitative Analyst, this course is a great place to start.
Project Manager
Project Manager
A Project Manager plans and executes projects. They work with stakeholders to define project scope, schedule, and budget. They also track project progress and identify risks. This course can help you build the skills you need to become a Project Manager by teaching you the fundamentals of project management, as well as how to plan and execute projects. If you're interested in a career as a Project Manager, this course is a great place to start.
Business Analyst
Business Analyst
A Business Analyst identifies and analyzes business problems and opportunities. They work with stakeholders to define business requirements and to develop solutions that meet those requirements. This course can help you build the skills you need to become a Business Analyst by teaching you the fundamentals of business analysis, as well as how to identify and analyze business problems and opportunities. If you're interested in a career as a Business Analyst, this course is a great place to start.
Product Manager
Product Manager
A Product Manager plans and develops new products and features. They work with engineers, designers, and marketers to bring new products to market and to improve existing products. This course can help you build the skills you need to become a Product Manager by teaching you the fundamentals of product management, as well as how to plan and develop new products and features. If you're interested in a career as a Product Manager, this course is a great place to start.
Consultant
Consultant
A Consultant provides advice and expertise to clients on a variety of topics. They work with clients to identify problems and opportunities and to develop solutions that meet their needs. This course can help you build the skills you need to become a Consultant by teaching you the fundamentals of consulting, as well as how to identify and analyze problems and opportunities. If you're interested in a career as a Consultant, this course is a great place to start.
Market Researcher
Market Researcher
A Market Researcher collects and analyzes data to understand consumer behavior. They work with businesses to identify marketing opportunities and to develop marketing strategies. This course can help you build the skills you need to become a Market Researcher by teaching you the fundamentals of market research, as well as how to collect and analyze data. If you're interested in a career as a Market Researcher, this course is a great place to start.
Machine Learning Scientist
Machine Learning Scientist
A Machine Learning Scientist researches and develops new machine learning algorithms. They work with businesses and organizations to apply machine learning to solve real-world problems. This course may be helpful for you if you are interested in a career as a Machine Learning Scientist, as it can help you build a foundation in machine learning.
Data Engineer
Data Engineer
A Data Engineer designs and builds data pipelines. They work with data to ensure that it is clean, consistent, and accessible. This course may be helpful for you if you are interested in a career as a Data Engineer, as it can help you build a foundation in data engineering.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical models to solve business problems. They work with businesses to identify and solve problems that can improve efficiency and profitability. This course may be helpful for you if you are interested in a career as an Operations Research Analyst, as it can help you build a foundation in mathematical and statistical modeling.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data. They work with businesses and organizations to identify trends and patterns in data and to make predictions. This course may be helpful for you if you are interested in a career as a Statistician, as it can help you build a foundation in statistics.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. They work with clients to identify investment opportunities and to manage risk. This course may be helpful for you if you are interested in a career as a Financial Analyst, as it can help you build a foundation in financial analysis.
For more career information including salaries, visit:
OpenCourser.com/course/tgpwt2/building
Reading list
We've selected 14 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Building a Machine Learning Pipeline.
Save
Comprehensive reference on deep learning. It covers the latest research and techniques in the field. It's a valuable resource for anyone who wants to learn more about deep learning.
Provides a comprehensive overview of machine learning pipelines, covering the entire process from data collection to model deployment. It's a valuable reference for anyone looking to build and manage ML pipelines.
Provides a comprehensive introduction to machine learning from a probabilistic perspective. It covers the theory and algorithms of probabilistic machine learning.
Focuses on the practical aspects of building ML systems using Python. It covers topics such as data engineering, model training, and deployment. It's a good choice for those who want to learn how to build real-world ML systems.
Provides a hands-on introduction to machine learning using popular Python libraries such as Scikit-Learn, Keras, and TensorFlow. It's a great choice for those who want to learn the fundamentals of ML and get started with building models.
Save
Provides a comprehensive introduction to machine learning from an algorithmic perspective.
Provides a comprehensive introduction to reinforcement learning. It covers the basic concepts and algorithms of RL. It's a good choice for those who want to learn more about RL.
Provides a comprehensive introduction to pattern recognition and machine learning.
Provides a comprehensive introduction to probabilistic graphical models. It covers the theory and algorithms of PGMs. It's a good choice for those who want to learn more about PGMs.
Provides a comprehensive introduction to Bayesian reasoning and machine learning. It covers the theory and algorithms of Bayesian methods. It's a good choice for those who want to learn more about Bayesian methods.
Provides a comprehensive introduction to information theory, inference, and learning algorithms.
Provides a practical introduction to machine learning for hackers.
Provides a concise introduction to machine learning.
Provides a collection of recipes for machine learning with Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tgpwt2/building
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Effort
4 weeks
Via
Udacity
Language
English
Good to know
Teaches professionals to build end-to-end ML pipelines for predicting short-term rental prices in New York City, which is core to the real estate domain
Builds a solid understanding of the concepts, principles, and best practices of machine learning pipelines
Taught by Udacity, a recognized provider of online training courses in the tech industry
Requires fluency in written and spoken English, which may be a barrier for non-native speakers
Assumes prior knowledge in command line interface basics, intermediate Python, and basic machine learning, which may not be suitable for complete beginners
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