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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly Media - Ideas

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. This concurs with survey results we plan to release over the next few months. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning.

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The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

Altexsoft

Offered as open-source with active support by communities. Many components of a modern data stack (such as Apache Airflow, Kafka, Spark, and others) are open-source and free. While the open-source part is definitely a good thing, it requires a high level of expertise as there’s often no GUI.

Data 59
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The state of data quality in 2020

O'Reilly Media - Ideas

Those suspicions were confirmed when we quickly received more than 1,900 responses to our mid-November survey request. Key survey results: The C-suite is engaged with data quality. CxOs, vice presidents, and directors account for 20% of all survey respondents. Roles of survey respondents. Industries of survey respondents.

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks.

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Structured vs Unstructured Data: Compared and Explained

Altexsoft

For instance, qualitative data can flow from customer surveys or social media feedback in a text form. It’s a free open-source RDBMS that supports both SQL and JSON querying as well as the most widely used programming languages such as Java, Python, C/C+, etc. One of the most popular open-source RDBMSs that is fast and reliable.

Data 93