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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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How privacy-preserving techniques can lead to more robust machine learning models

O'Reilly Media - Data

The O’Reilly Data Show Podcast: Chang Liu on operations research, and the interplay between differential privacy and machine learning. In a previous post , I highlighted early tools for privacy-preserving analytics, both for improving decision-making (business intelligence and analytics) and for enabling automation (machine learning).

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Zilliz, the startup behind the Milvus open source vector database for AI apps, raises $60M, relocates to SF

TechCrunch

In 2020, Chinese startup Zilliz — which builds cloud-native software to process data for AI applications and unstructured data analytics, and is the creator of Milvus , the popular open source vector database for similarity searches — raised $43 million to scale its business and prep the company to make a move into the U.S.

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Top 8 predictive analytics tools compared

CIO

Predictive analytics tools blend artificial intelligence and business reporting. Open Source. Alteryx open source options available. Open source core. Open source core. Composite AI mixes statistics and machine learning; industry-specific solutions. Highlights.

Analytics 206
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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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What is data science? Transforming data into value

CIO

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science teams make use of a wide range of tools, including SQL, Python, R, Java, and a cornucopia of open source projects such as Hive, oozie, and TensorFlow.

Data 210
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What is data analytics? Analyzing and managing data for decisions

CIO

In business analytics, this is the purview of business intelligence (BI). Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. Data analytics methods and techniques.

Analytics 203