Введение в информационный поиск from Coursera

Данный курс был создан сотрудниками "Mail.Ru Group". При разработке заданий упор делался на знания и опыт, которые используются сотрудниками на практике ежедневно при проектировании продуктов, которыми пользуются миллионы людей. В современном мире невозможно представить человека, который, заходя в интернет, не пользуется поисковыми системами. Google, Yandex, Mail.ru и другие интернет-гиганты решают задачи нахождения информации в интернете и удовлетворения информационных потребностей пользователя. В этом курсе мы расскажем вам, как устроена поисковая система изнутри, покажем, какие приемы обработки естественного языка и машинного обучения используются при построении поискового индекса и ответе на запросы. Также мы обсудим тему объективной оценки качества поисковой системы. В результате слушатели курса смогут опробовать все вышеперечисленные техники на практике и построить работающую модель поисковой системы.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for software developers as it provides insights into search engine architecture from a practitioner's lens

Taught by industry professionals from Mail.Ru Group, offering real-world expertise in search engine design and development

Provides hands-on practice in building a search engine model, enabling learners to apply concepts immediately

Reviews summary

Thought-provoking

This course on information retrieval introduces you to search engine fundamentals and dives into natural language processing and machine learning.

Engaging lectures prompt you to consider things from different perspectives.

"Лекторы заставляют подумать."

Technical issues with grading.

"There is no way to finish this course. For more than 3 years people complain about grader error but with no luck."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Введение в информационный поиск with these activities:

Review Probability Theory

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Solidify your understanding of probability theory, which is the foundation of many machine learning and data mining techniques.

Browse courses on Probability Theory

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Go over the basics of probability distributions
Practice calculating probabilities of events
Review conditional probability and Bayes' theorem

Review foundational material on search algorithms

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Review core concepts to strengthen understanding before you start the course.

Browse courses on Search Algorithms

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Review the basics of linked lists, hash tables, and trees, along with their time complexity for insertion, deletion, and retrieval.
Go over various search algorithms such as sequential search, binary search, interpolation search, and hash table lookup, and their time and space complexity.
Practice solving problems involving basic search algorithms on platforms like LeetCode or HackerRank.

Follow tutorials on Vector Space Models

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Explore how Vector Space Models are used in information retrieval and natural language processing.

Browse courses on Vector Space Models

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Find tutorials on Vector Space Models
Complete the exercises provided in the tutorials
Implement a Vector Space Model from scratch

Eight other activities

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Attend meetups or conferences related to search engines

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Connect with others in the field, learn about industry trends, and explore job opportunities.

Browse courses on Networking

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Find and attend meetups or conferences focused on search engine technology.
Network with professionals, exchange ideas, and learn about the latest advancements in the field.
Explore job opportunities and connect with potential employers.

Solve practice questions on Term Frequency-Inverse Document Frequency (TF-IDF)

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Reinforce your understanding of TF-IDF, a technique used to determine the importance of words in a document.

Browse courses on Text Mining

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Find practice questions on TF-IDF
Solve the practice questions
Analyze your results and identify areas for improvement

Explore tutorials on building search engines

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Familiarize yourself with the practical aspects of search engine development.

Browse courses on Search Engine Architecture

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Find and go through tutorials or online courses on building simple search engines using Python or Java.
Follow along with the tutorials, implementing the basic functionalities of a search engine.
Experiment with different ranking algorithms to understand their impact on search results.

Mentor junior developers interested in search engines

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Reinforce your understanding by sharing your knowledge and supporting others.

Browse courses on Mentorship

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Identify opportunities to mentor junior developers or students interested in search engine development.
Share your knowledge, provide guidance, and answer their questions.
Help them build their skills and prepare for a career in search engine technology.

Develop a presentation on supervised and unsupervised learning

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Deepen your understanding of supervised and unsupervised learning and their applications.

Browse courses on Supervised Learning

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Research different supervised and unsupervised learning techniques
Create a slide deck that explains the concepts and provides examples
Practice presenting your slides

Solve coding problems related to search engine functionality

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Reinforce your understanding of search engine concepts through practical problem-solving.

Browse courses on Information Retrieval

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Practice solving coding problems on platforms like LeetCode or HackerRank that focus on search engine functionality.
Implement algorithms for tokenization, stemming, and stop word removal.
Work on problems involving relevance ranking, such as calculating TF-IDF scores or implementing BM25.

Contribute to open-source search engine projects

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Gain practical experience and connect with professionals in the field.

Browse courses on Open Source Software

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Identify open-source search engine projects on platforms like GitHub.
Contribute to the project by fixing bugs, improving documentation, or adding new features.
Engage with the community, ask questions, and learn from experienced contributors.

Build a simple search engine prototype

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Apply your knowledge to create a tangible project that demonstrates your understanding.

Browse courses on Search Engine Development

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Design and implement a simple search engine using a programming language like Python or Java.
Build an index of documents, preprocess the text, and implement a search functionality.
Incorporate a ranking algorithm to determine the relevance of search results.

Career center

Learners who complete Введение в информационный поиск will develop knowledge and skills that may be useful to these careers:

Search Engine Evaluator

Search Engine Evaluators assess the quality of search engine results. This course provides a foundation in search engine evaluation and information retrieval. It would be particularly useful for Search Engine Evaluators who want to move into a management role.

See salaries and explore the career path for Search Engine Evaluator

Natural Language Processing Engineer

Natural Language Processing Engineers design and develop systems that can understand and generate human language. This course provides a foundation in natural language processing and machine learning. It would be particularly useful for Natural Language Processing Engineers who want to work on search engine technology.

See salaries and explore the career path for Natural Language Processing Engineer

Machine Learning Engineer

Machine Learning Engineers design and develop systems that can learn from data. This course provides a foundation in machine learning and artificial intelligence. It would be particularly useful for Machine Learning Engineers who want to move into a role that focuses on search engine technology.

See salaries and explore the career path for Machine Learning Engineer

Knowledge Engineer

Knowledge Engineers build and maintain systems that can store and retrieve knowledge. This course provides a foundation in knowledge engineering and artificial intelligence. It would be particularly useful for Knowledge Engineers who want to work on search engine technology.

See salaries and explore the career path for Knowledge Engineer

Search Engine Marketing Manager

Search Engine Marketing Managers plan and execute marketing campaigns that drive traffic to websites from search engines. This course provides a foundation in search engine marketing and digital marketing. It would be particularly useful for Search Engine Marketing Managers who want to move into a leadership role.

See salaries and explore the career path for Search Engine Marketing Manager

Data Science Manager

Data Science Managers plan and execute data science projects. This course provides a foundation in data science and project management. It would be particularly useful for Data Science Managers who want to move into a role that focuses on artificial intelligence.

See salaries and explore the career path for Data Science Manager

Information Architect

Information Architects organize and label information to make it easy to find and use. This course provides a foundation in information architecture and usability. It would be particularly useful for Information Architects who want to specialize in search engine optimization.

See salaries and explore the career path for Information Architect

Knowledge Manager

Knowledge Managers develop and implement strategies for managing knowledge within an organization. This course provides a foundation in knowledge management and information science. It would be particularly useful for Knowledge Managers who want to move into a role that focuses on artificial intelligence.

See salaries and explore the career path for Knowledge Manager

User Experience Researcher

User Experience Researchers study how users interact with products and services. This course provides a foundation in user experience research and human-computer interaction. It would be particularly useful for User Experience Researchers who want to specialize in search engine usability.

See salaries and explore the career path for User Experience Researcher

Data Scientist

Data Scientists use their programming and math skills to gather and analyze data. They then communicate their findings to help businesses make better decisions. This course provides a foundation in programming, data analysis, and visualization. It would be particularly useful for Data Scientists who want to move into a role that focuses on artificial intelligence and machine learning.

See salaries and explore the career path for Data Scientist

Information Technology Manager

Information Technology Managers plan and implement technology solutions for businesses. This course provides a foundation in information technology and business management. It would be particularly useful for Information Technology Managers who want to move into a role that focuses on artificial intelligence.

See salaries and explore the career path for Information Technology Manager

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. This course provides a foundation in data analysis and programming. It would be particularly useful for Data Analysts who want to move into a role that focuses on machine learning.

See salaries and explore the career path for Data Analyst

Information Specialist

Information Specialists research, gather, and organize information. This course provides a foundation in information science and information retrieval. It would be particularly useful for Information Specialists who want to move into a role that focuses on information technology.

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Web Developer

Web Developers design and develop websites. This course provides a foundation in web development and programming. It would be particularly useful for Web Developers who want to specialize in search engine optimization.

See salaries and explore the career path for Web Developer

Software Engineer

Software Engineers design, develop, and maintain software systems. This course provides a foundation in software engineering and programming. It would be particularly useful for Software Engineers who want to move into a role that focuses on artificial intelligence.

See salaries and explore the career path for Software Engineer