Articles
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AI, ML & Data Engineering AI, ML & Data Engineering Follow 870 Followers
Analyzing and Preventing Unconscious Bias in Machine Learning
This article is based on Rachel Thomas’s keynote presentation, “Analyzing & Preventing Unconscious Bias in Machine Learning” at QCon.ai 2018. Rachel talks about the pitfalls and risk the bias in machine learning brings to the decision-making process. She discusses three use cases of machine learning bias.
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Emerging Technologies Emerging Technologies Follow 52 Followers
Cats, Qubits, and Teleportation: The Spooky World of Quantum Algorithms (Part 2)
Quantum information theory really took off once people noticed that the computational complexity of quantum systems was actually a computational capacity, which could be applied to other problems, such as factorization, which is used within public key cryptography. This article explores quantum algorithms and their applicability.
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AI, ML & Data Engineering AI, ML & Data Engineering Follow 870 Followers
Big Data Processing Using Apache Spark - Part 6: Graph Data Analytics with Spark GraphX
In this article, author Srini Penchikala discusses Apache Spark GraphX library used for graph data processing and analytics. The article includes sample code for graph algorithms like PageRank, Connected Components and Triangle Counting.
Spark GraphX in Action Book Review and Interview
InfoQ spoke with authors of Spark GraphX in Action book, Apache Spark framework and what's coming up in the area of graph data processing and analytics.
Grokking Algorithms Review and Author Q&A
Manning’s Grokking Algorithms takes a novel approach to introducing such complex matters as data structures, algorithms, and complexity by leveraging the power and expressiveness of illustration.
Beyond Data Mining
In this article, author talks about the need for change in predictive modeling focus and compares four types of data mining:algorithm mining, landscape mining, decision mining and discussion mining.
