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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. Streaming Platforms Commercial streaming platforms shown in Figure 1 mainly rely on Digital Rights Management (DRM) systems. a browser) is normally matched with a certain DRM system (e.g.,

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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

We will discuss the different types of datasets in data science which cover disciplines like data visualization, data processing, machine learning, data cleaning, exploratory data analysis, natural language processing, and computer vision. Nowadays, recommender systems are in use everywhere.

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Impact of Digitization on HR Services and Processes

U-Next

The digitization of recruitment and selection can be done by integrating systems that allow for more efficient sourcing, screening, and candidate tracking, such as ATS (Applicant Tracking Systems) or CV/Resume databases. . Another area where digitization is used is in training and development. Improved Data Analysis:

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A Guide on How to Design a Strategy For AI Marketing

U-Next

To bridge the gap between the massive volumes of consumer data being acquired and the following actions digital marketers may take for future campaigns, the following components of AI marketing are making up today’s top solutions: . Maintain High-Quality Data. Machine Learning. Make Decisions Faster. Conclusion .

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Big Data Analytics- The New Player in ICC World Cup Cricket 2023

ProjectPro

Become a Hadoop Developer By Working On Industry Oriented Hadoop Projects Scope of Big Data in Cricket Predictions for World Cup 2023 Regardless of the kind of sport - the more insight you have, the more you know, the better are your chances of enjoying its success- whether you are a broadcaster, player or a die-hard fan.

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Natural Language Processing (NLP) Job Opportunities

Knowledge Hut

Chatbots and Virtual Assistants The use of NLP to create systems that do automated conversions between AI and humans. The NLP scientist works on a physical device or a mobile application development and the project necessitates the inclusion of the system to interpret human words. To become an NLP Scientist, a Ph.D.

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