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Big Data LDN
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Fraud Detection
Artificial Intelligence
Machine Learning
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Well-suited for individuals seeking foundational knowledge in Artificial Intelligence (AI) for fraud detection in FinTech
Practical application of AI concepts in fraud detection
Taught by an experienced professional with real-world expertise in AI-based fraud detection
Provides hands-on experience through the development of a machine-learning-based fraud detection system
Course completion could bolster a portfolio with a practical project
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How to Build a Fully Autonomous Card Fraud Detection System.
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Career center
Learners who complete How to Build a Fully Autonomous Card Fraud Detection System will develop knowledge and skills
that may be useful to these careers:
Fraud Detection Analyst
Fraud Detection Analyst
A Fraud Detection Analyst is a professional who investigates and analyzes fraudulent transactions and activities. They are responsible for identifying patterns of fraud, developing strategies to prevent fraud, and working with law enforcement to investigate and prosecute fraudsters. This course can help you develop the skills and knowledge you need to succeed in this role by providing you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, how to build and deploy fraud detection systems, and how to investigate and respond to fraud incidents.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is a professional who designs, develops, and deploys machine learning models. They are responsible for collecting and preparing data, building and training models, and evaluating and deploying models into production. This course can help you develop the skills and knowledge you need to succeed in this role by providing you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, how to build and deploy fraud detection systems, and how to evaluate and improve the performance of machine learning models.
Data Scientist
Data Scientist
A Data Scientist is a professional who uses data to solve business problems. They are responsible for collecting, cleaning, and analyzing data, developing and deploying machine learning models, and communicating the results of their analysis to stakeholders. This course can help you develop the skills and knowledge you need to succeed in this role by providing you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, how to build and deploy fraud detection systems, and how to communicate the results of your analysis to stakeholders.
Financial Analyst
Financial Analyst
A Financial Analyst is a professional who analyzes financial data to make investment decisions. They are responsible for evaluating the financial performance of companies, identifying investment opportunities, and making recommendations to clients. This course may be useful for you if you are interested in a career as a Financial Analyst, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the financial industry.
Risk Analyst
Risk Analyst
A Risk Analyst is a professional who evaluates and manages risk for organizations. They are responsible for identifying, assessing, and mitigating risks to the organization's business operations. This course may be useful for you if you are interested in a career as a Risk Analyst, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the risk management industry.
Software Engineer
Software Engineer
A Software Engineer is a professional who designs, develops, and maintains software applications. They are responsible for writing code, testing software, and deploying software into production. This course may be useful for you if you are interested in a career as a Software Engineer, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the software engineering industry.
Product Manager
Product Manager
A Product Manager is a professional who is responsible for the development and management of a product. They are responsible for defining the product vision, roadmap, and features, and for working with engineers and designers to bring the product to market. This course may be useful for you if you are interested in a career as a Product Manager, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the product management industry.
Business Analyst
Business Analyst
A Business Analyst is a professional who analyzes business processes and systems to identify opportunities for improvement. They are responsible for gathering and analyzing data, developing recommendations for change, and working with stakeholders to implement changes. This course may be useful for you if you are interested in a career as a Business Analyst, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the business analysis industry.
Consultant
Consultant
A Consultant is a professional who provides advice and expertise to organizations on a variety of topics. They are responsible for analyzing problems, developing recommendations, and helping organizations to implement changes. This course may be useful for you if you are interested in a career as a Consultant, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the consulting industry.
Entrepreneur
Entrepreneur
An Entrepreneur is a person who starts and runs their own business. They are responsible for identifying opportunities, developing products or services, and marketing and selling their products or services. This course may be useful for you if you are interested in starting your own business, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the entrepreneurial industry.
Teacher
Teacher
A Teacher is a professional who teaches students at a school or university. They are responsible for developing lesson plans, teaching classes, and assessing students' work. This course may be useful for you if you are interested in a career as a Teacher, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the teaching industry.
Writer
Writer
A Writer is a professional who writes books, articles, or other types of content. They are responsible for developing ideas, writing content, and editing their work. This course may be useful for you if you are interested in a career as a Writer, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the writing industry.
Librarian
Librarian
A Librarian is a professional who works in a library to help people find and use information. They are responsible for organizing and maintaining library collections, providing reference services, and teaching people how to use library resources. This course may be useful for you if you are interested in a career as a Librarian, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the library science industry.
Customer Service Representative
Customer Service Representative
A Customer Service Representative is a professional who provides customer service to customers. They are responsible for answering questions, resolving complaints, and providing support to customers. This course may be useful for you if you are interested in a career as a Customer Service Representative, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the customer service industry.
Sales Representative
Sales Representative
A Sales Representative is a professional who sells products or services to customers. They are responsible for identifying and qualifying leads, developing sales proposals, and closing deals. This course may be useful for you if you are interested in a career as a Sales Representative, as it will provide you with a foundation in machine learning-based fraud detection techniques. You will learn how to use data analysis and modeling to identify fraudulent transactions, which can be valuable in the sales industry.
For more career information including salaries, visit:
OpenCourser.com/course/i66lcu/how
Reading list
We haven't picked any books for this reading list yet.
Provides practical advice on how to detect and prevent fraud. It covers a variety of topics, including fraud risk assessment, fraud investigation, and fraud prevention controls. It valuable resource for anyone who wants to learn more about fraud detection and prevention.
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A highly cited and influential book that focuses on deep learning, a subfield of AI concerned with constructing models for complex data. Covers theoretical concepts, popular algorithms, and practical applications.
Gentle introduction to machine learning, suitable for those with no prior knowledge of the field, with a focus on understanding the concepts rather than the math.
A classic textbook on reinforcement learning, a subfield of AI concerned with learning from interaction with the environment. Covers both theoretical concepts and practical algorithms, with a focus on real-world applications.
A practical guide to natural language processing (NLP) using Python, covering topics such as text classification, sentiment analysis, and machine translation. Suitable for beginners with some programming experience.
A free online book that provides a gentle introduction to machine learning, covering topics such as linear regression, logistic regression, and neural networks. Suitable for beginners with no prior knowledge of AI or machine learning.
A comprehensive textbook that covers probabilistic graphical models (PGMs), a powerful tool for representing and reasoning about complex systems. Suitable for advanced learners with a background in probability and statistics.
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A non-technical book that explores the global AI landscape, the impact of AI on society, and the ethical challenges that arise from the rapid development of AI technologies.
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A thought-provoking book that explores the potential implications of AI for human society, such as the possibility of a technological singularity and the need for new ethical frameworks.
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A popular science book that discusses the development of AI algorithms and their potential impact on various aspects of human life, such as healthcare, transportation, and finance.
A short but powerful book that explores the potential benefits and risks of AI, as well as the ethical dilemmas that need to be addressed as AI becomes more advanced.
A comprehensive German-language textbook that provides a broad overview of AI, covering topics such as search, knowledge representation, and machine learning. Suitable for both beginners and advanced learners.
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A French-language textbook that focuses on machine learning, a subfield of AI. Covers topics such as supervised learning, unsupervised learning, and deep learning. Suitable for beginners with some programming experience.
This book, written by the Stanford University professor and former Chief Scientist at Baidu, provides a clear overview of machine learning with lots of diagrams and hands-on practice.
A textbook that presents AI from a computational perspective, covering topics such as agents, knowledge representation, reasoning, and planning. Suitable for readers with a background in computer science or mathematics.
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Provides a comprehensive treatment of machine learning from a probabilistic perspective, covering a wide range of topics from Bayesian inference to deep learning.
Practical guide to machine learning for programmers, with a focus on using Python to build and deploy machine learning models.
Provides a balanced treatment of both statistical and machine learning methods, making it accessible to a wide audience.
Practical guide to machine learning with Python, covering a wide range of topics from data preprocessing to model evaluation.
A comprehensive textbook that provides a broad overview of the field, covering topics such as problem-solving, learning, machine learning, and natural language processing. Suitable for both beginners and advanced learners.
For more information about how these books relate to this course, visit:
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Big Data LDN
This course belongs to a
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Big Data LDN 2019 . It's comprised of 101 courses:
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- Fast Data for Faster Business
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- Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
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- Data Skills: Building a Data Team Fit for a Data-driven Enterprise
- Consent, Compliance, and the Impact on Customer Experience
- AI & Communication: Meaningful Data from New Sources
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