Machine Learning

Showing 1-9 of 25 results
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NLP With Google Cloud Natural Language API

by Maximilian Hopf

Natural language processing (NLP) has become one of the most researched subjects in the field of AI. This interest is driven by applications that have been brought to market in recent years. In this article, Toptal Deep Learning Developer Maximilian Hopf introduces you to Google’s Natural Language API and Google AutoML Natural Language.

13 minute readContinue Reading
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Adversarial Machine Learning: How to Attack and Defend ML Models

by Pau Labarta Bajo

The increasing accuracy of machine learning systems has resulted in a flood of applications using them. As machine learning models matured and improved, so did ways of attacking them. In this article, Toptal Python Developer Pau Labarta Bajo examines the world of adversarial machine learning, explains how ML models can be attacked, and what you can do to safeguard them against attack.

10 minute readContinue Reading
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An Introductory Robot Programming Tutorial

by Nick McCrea

Let's face it, robots are cool. In this post, Toptal Engineer Nick McCrea provides a step-by-step, easy-to-follow tutorial (with code samples) that walks you through the process of building a basic autonomous mobile robot.

24 minute readContinue Reading
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Four Pitfalls of Sentiment Analysis Accuracy

by Rudolf Eremyan

Manually gathering information about user-generated data is time-consuming, to say the least. That's why more organizations are turning to automatic sentiment analysis methods—but basic models don't always cut it. In this article, Toptal Freelance Data Scientist Rudolf Eremyan gives an overview of some sentiment analysis gotchas and what can be done to address them.

6 minute readContinue Reading
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The Economics and Benefits of Artificial Intelligence

by Necati Demir, PhD

Will AI make improve our lives beyond comparison, or will it steal our jobs and destroy humanity? In this article, Dr. Necati Demir, Toptal Freelance AI Expert, discusses not the evil artificial general intelligence of science fiction but the current algorithm-based prediction AI and discusses how the economics of AI work, along with their effects on businesses.

7 minute readContinue Reading
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Schooling Flappy Bird: A Reinforcement Learning Tutorial

by Neven Pičuljan

Leveraging DeepMind's breakthrough AI approaches takes some work, but the results are astounding. In this article, Toptal Freelance Deep Learning Engineer Neven Pičuljan guides us through the building blocks of reinforcement learning, training a neural network to play Flappy Bird using the PyTorch framework.

17 minute readContinue Reading
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Python Machine Learning Prediction with a Flask REST API

by Guillaume Ferry

Employing Python to make machine learning predictions can be a daunting task, especially if your goal is to create a real-time solution. However, Tensorflow and Scikit-Learn can significantly speed up implementation. In this article, Toptal Python Developer Guillaume Ferry outlines a simple architecture that should help you progress from a basic proof of concept to a minimal viable product without much hassle.

7 minute readContinue Reading
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How to Approach Machine Learning Problems

by Peter Hussami

How do you approach machine learning problems? Are neural networks the answer to nearly every challenge you may encounter? In this article, Toptal Freelance Python Developer Peter Hussami explains the basic approach to machine learning problems and points out where neural may fall short.

8 minute readContinue Reading
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A Deep Dive into Reinforcement Learning

by Adam Stelmaszczyk

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

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