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Architecting Effective Data Labeling Systems for Machine Learning Pipelines

Machine learning models are trained on massive datasets in which each data point is labeled to give it context and meaning. This deep dive describes how to build a data labeling architecture from scratch, with a focus on workflow, security, and data quality.

16 minute readContinue Reading
Reza Fazeli

Reza Fazeli

Theory, Tools, and Business Applications: An In-depth Look at Quantum Computing

Quantum computing is challenging the realities of technology, security, and industry as we know them. Here, we investigate the nuances of quantum mechanics and how to enter the world of quantum software development with tools such as Cirq and TensorFlow Quantum.

22 minute readContinue Reading
Joao Diogo de Oliveira

Joao Diogo de Oliveira

A Deep Dive Into Reinforcement Learning

Machine learning and artificial intelligence are popular topics, vast domains with multiple paradigms to solve any given challenge.

In this article, Toptal Machine Learning Expert Adam Stelmaszczyk walks us through implementing deep Q-learning, a fundamental algorithm in the AI/ML world, with modern libraries such as TensorFlow, TensorBoard, Keras, and OpenAI Gym.

15 minute readContinue Reading
Adam Stelmaszczyk

Adam Stelmaszczyk

A Machine Learning Tutorial With Examples: An Introduction to ML Theory and Its Applications

This Machine Learning tutorial introduces the basics of ML theory, laying down the common themes and concepts, making it easy to follow the logic and get comfortable with the topic.

15 minute readContinue Reading
Nick McCrea

Nick McCrea

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