Codemotion Magazine

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Machine Learning Developer

The Machine Learning Developer is specialized in integration of machine learning and Artificial Intelligence into tools and apps. He is able to develop, customize and optimize learning algorithms.
The main requirements of a Machine Learning Developer are:
deep knowledge of languages such as Python and C ++, experience in the implementation of algorithms in Computer Vision and Machine Learning (Deep Learning), knowledge of object- oriented programming, data-parallel processing and/or GPU programming with CUDA and OpenCL.

Find job offers in Job Search for Machine Learning Developer.

Home » Dev Hub » Machine Learning Developer

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Fantastic Data and Where to Find Them

In 2016 Richard Lee was applying for a passport online in New Zealand when the system objected to the image he uploaded: “subject’s eyes are closed”. Richard is an Asian male and actually his eyes in the photo were open, but the machine learning … Read more

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How Search Engines Work

The Internet is pretty big. But when you need a hand in this ocean of useless data, a search engine is your friend. In this journey through the web, we will understand which algorithms and techniques form a search engine and what we need to create … Read more

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iPhone X’s Face ID using Deep Learning

Hello Norman. Recently you’ve presented to the members of the Facebook Developer Circle community your talk on "How I implemented iPhone X's Face ID using Deep Learning". Would you like to tell us what it was about? I gladly accepted the … Read more

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Conversation AI is the new UX

The use of chatbots is a fast-growing business that meets the needs of all stakeholders involved. According to some recent researches, 80% of custom interactions can be resolved by well-designed bots (Accenture), 60% of the consumers want easier … Read more

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Understanding AI: Training

Artificial intelligence (AI) and machine learning are terms informally used to mean a machine’s ability to mimic human cognitive functions, such as perceiving, reasoning and problem-solving. With human-like abilities to “think,” AI is taking on … Read more

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Understanding AI: Inference

Inferencing is the second phase of machine learning, following on from the initial training phase. During the training phase, the algorithm generates a new model or repurposes a pre-trained model for a specific application and helps the model learn … Read more

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Overselling can hurt AI

AI is becoming more and more pervasive in our lives and as a consequence we are getting aware of its benefits as well as of its limitations. At Codemotion Milan 2019, Nicole Alexander will explain one of the main concerns of data scientists nowadays … Read more

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Interview with Ashi Krishnan

GitHub’s Ashi Krishnan is a senior software engineer and visual poet. If you’re wondering how these two worlds could possibly come together, Ashi’s inspiring Codemotion talks at Berlin and Milan explained all. In her talk, Living Things, Ashi … Read more

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Interview with Alex Fernández

Álex Fernández is a senior developer at Devo, a thriving Spanish company that collects huge amounts of data and keeps it in a searchable format for its customers. At a time when the collection and storage of data is a hot topic, the company is … Read more

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Interview: Antimo Musone – Cognitive Bot

Interview with ANTIMO MUSONE About the Talk "COGNITIVE BOT" Presented to the FACEBOOK DEVELOPER CIRCLE ROME community On 27/06/2018 Hi Antimo. Tell us who you are and which communities you belong to. Hi everyone. My name is Antimo, I'm a computer … Read more