Catalog Search Results
Author
Publisher
linkedin.com
Pub. Date
2021.
Language
English
Description
Learn how to make Apache Spark work with other Big Data technologies and put together an end-to-end project that can solve a real-world business problem.
Data engineering is the foundation for building analytics and data science applications in the new Big Data world. Data engineering requires combining multiple big data technologies to construct data pipelines and networks to stream, process, and store data. This course focuses on building full-fledged...
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Learn how to use Apache Flink relational APIs—the Table API and SQL—for batch and real-time exploratory data analytics.
Exploratory data analytics is a key phase in data science that deals with investigating data to extract insights. In a world of big data, exploring massive datasets is a challenge, since it requires technologies that are scalable, fast, and feature rich. Apache Flink—the popular stream-processing platform—is well suited...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn about the techniques for analyzing text data in Python and perform machine learning and predictions.
Text is a rich source of insights for businesses. Websites, social media, emails, and chats all contain valuable customer data. But to reap the rewards, you need to be able to analyze large amounts of unstructured text. Text mining is an essential skill for anyone working in big data and data science. This course teaches text-mining techniques...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn about the tools and techniques for analyzing text data in R and discover how to perform machine learning and predictions.
Social media, emails, blogs, and text messages offer businesses valuable insights into how their customers think and what they want. But mining this text data isn't a straightforward process; rather, it requires a special set of tools and techniques. In this course, Kumaran Ponnambalam explores these tools and techniques,...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn the essential techniques for cleansing and processing text in Python. Discover how to convert text to a form that's ready for analytics and predictions.
In the world of big data, more and more information is consumed and analyzed in text form. Websites, social media, emails, and chats have become the key sources for data and insights. If you work with data, then understanding how to deal with unstructured text data is essential. In this course,...
Author
Publisher
linkedin.com
Pub. Date
2019.
Language
English
Description
Learn key techniques for cleansing and processing text in R, and discover how to convert text to a form that's ready for analytics and predictions.
Today’s big data and analytics pipelines are consuming more and more text data generated through websites, social media, and private communications. But deriving insights from text isn't straightforward; it requires a series of techniques and forms for preparing text for analytics and machine learning....
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Explore how to build batch mode data pipelines with Apache Flink, the powerful and popular stream-processing platform.
Data engineering is the foundation for enabling analytics and data science applications in the world of big data. It requires building scalable data processing pipelines and delivering them in short time frames. Apache Flink, the powerful and popular stream-processing platform, was designed to help you achieve these goals. In this...
Author
Publisher
linkedin.com
Pub. Date
2017.
Language
English
Description
Learn about the customer life cycle and how predictive analytics can improve the customer journey. Explore using predictive analytics to identify, attract, and retain customers.
Use big data to tell your customer's story, with predictive analytics. In this course, you can learn about the customer life cycle and how predictive analytics can help improve every step of the customer journey. Start off by learning about the various phases in a customer's...
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Learn the basics of recurrent neural networks to get up and running with RNN quickly.
Get started with recurrent neural network (RNN) concepts in a simplified way and build simple applications with RNNs and Keras. RNN is a fast-growing domain within the AI world. Popular groundbreaking applications like language translation, speech synthesis, question answering, and text generation use RNNs as their base technology. Studying this technology, however,...
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Learn how to use AI to solve common HR challenges, such as recommending training and screening candidates, and to improve employee hiring, satisfaction, and retention.
A global economy and remote workforce have made it difficult for HR departments to track employee satisfaction and motivation. However, using artificial intelligence, data scientists and engineers can now generate powerful insights to improve hiring, training, retention, and more....
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Solve common challenges in IT operations using the power of AI. Review use cases in the world of IT ops and learn how to apply AI technologies to address key problems.
IT operations is one of the key business functions for modern enterprises. As data centers become large, distributed, and integrated, the need to monitor and manage hardware, software, networks, and data increases exponentially. And while the elements in a network generate tons of...
Author
Publisher
linkedin.com
Pub. Date
2024.
Language
English
Description
Get a comprehensive introduction to the unique features, benefits, common challenges, and best practices of building edge AI applications.
As edge devices like smartphones, cameras, and sensors become more powerful, the applications that manage them are moving from the cloud to edge. More and more AI models are now deployed on these devices in an attempt to reduce latency and secure greater levels of privacy. As a result, the AI community needs to...
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Discover how to build a real-time stream processing pipeline with Apache Fink. Learn about the platform's windowing, event-time processing, and state management features.
From an engineering perspective, scalability is one of the most pressing challenges in data science. Apache Flink, the powerful and popular stream-processing platform, offers features and functionality that can help developers tackle this challenge. In this course, learn how to...
Author
Publisher
linkedin.com
Pub. Date
2020.
Language
English
Description
Discover how to build scalable and optimized data analytics pipelines by combining the powers of Apache Hadoop and Spark.
Apache Hadoop was a pioneer in the world of big data technologies, and it continues to be a leader in enterprise big data storage. Apache Spark is the top big data processing engine and provides an impressive array of features and capabilities. When used together, the Hadoop Distributed File System (HDFS) and Spark can provide...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Discover how to use MySQL to perform common data science tasks. Learn tips and tricks that can help you get more out of MySQL—and write less code in the process.
MySQL is an excellent database for advanced analytics, but few analysts use it that way because they aren't fully aware of its capabilities in this area. Analysts end up writing code to perform common tasks—which can be time-consuming—rather than using MySQL to do the same work. In...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Discover how to select the right database for your data science project. Learn about the strengths and weaknesses of different database technologies and review specific use cases.
Over the past few years, the database world has seen a plethora of new database types appear: document, key-value, graph, and columnar. In addition, data science professionals also have the old giant—relational database management systems (RDBMS)—as an option. Typical...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn about the three types of data analytics used to analyze past business performance: descriptive, exploratory, and explanatory analytics.
Business analytics allows us to learn from the past and make better predictions for the future. There are three types of analytics used for learning from the past. Descriptive analytics summarizes historical data; exploratory analytics uncovers hidden patterns; and explanatory analytics reveals the reasons...
Author
Publisher
linkedin.com
Pub. Date
2018.
Language
English
Description
Learn about the stages in business analytics used to predict future events and improve decision-making: predictive analytics, prescriptive analytics, and experimental analytics.
Business analytics encompasses a set of tools, technologies, processes, and best practices that are required to derive knowledge from data. It's an iterative and methodical exploration of data to derive insights from it—and, in turn, make smarter, more strategic decisions...
Author
Publisher
linkedin.com
Pub. Date
2022.
Language
English
Description
Learn how to deploy and monitor machine learning models to deliver scalable, reliable ML products and services.
Suggested Prerequisites MLOps Essentials: Model Development and Integration Machine learning operations (MLOps) is one of the fastest growing subfields of artificial intelligence. In this course, instructor Kumaran Ponnambalam shows you how to deploy and monitor ML models to create structured, improved outcomes in your everyday workflow....
Author
Publisher
linkedin.com
Pub. Date
2023.
Language
English
Description
Learn how to build natural language processing (NLP) applications with pretrained transformers in Hugging Face, the popular machine learning platform.
Looking to expand your skill set in deep learning? Find out how to use Hugging Face transformers to build natural language processing (NLP) applications. In this course, instructor Kumaran Ponnambalam shows you how to build models quickly and easily using pretrained transformers from the Hugging Face...
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