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Home » AI/ML » Machine Learning

Machine Learning

The Machine Learning Developer is specialized in integration of machine learning and Artificial Intelligence into tools and apps. S/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.

deepfakes, facial recognition, AI ML, neural networks

November 30, 2022 by Codemotion

Neural Networks: The Evolution of Deepfakes

Deepfakes are taking over social media and the internet as AI has enabled new possibilities that can reach amazing results in terms of realism. From funny Instagram filters to fake news through impersonations so lifelike that can become dangerous and … Read more

machine learning courses

March 29, 2022 by Daniel M

6 Courses to Dive Deep Into Machine Learning in 2022

With several machine learning courses to choose from, you may find it challenging to find the one that best meets your needs. Many students wonder if a regular machine learning course addresses all cases. With a wide selection of educational … Read more

Programmable Logic FPGA Internal and External Interfacing | Codemotion

July 30, 2021 by Adam Taylor

Programmable Logic: FPGA Internal and External Interfacing

In the third article in this series co-produced with Mouser Electronics, we saw how to simplify FPGA implementation tools' usage with user-friendly toolchains for design verification and programming file. Now, let’s see how FPGA Internal and External … Read more

Embedded Processing in Programmable Logic

June 1, 2021 by Adam Taylor

Embedded Processing in Programmable Logic

In the first article in this series co-produced with Mouser Electronics, we explored the range of FPGA devices produced by Xilinx and discussed the benefits of adopting such a system for developers, engineers, and end-users alike. Now, let’s dig a … Read more

FPGAs What Do They Do, and Why Should You Use Them

April 30, 2021 by Adam Taylor

FPGAs: What Do They Do, and Why Should You Use Them?

Digital processing technologies We live in an analogue world, but more and more, digital processing is changing the ways in which we interact with and experience the world.  Whether through satellite navigation or autonomous vehicles, … Read more

How to Optimise Your IoT Device's Power Consumption

April 5, 2021 by Emily Newton

How to Optimise Your IoT Device’s Power Consumption

Long battery life is a frequent concern of people purchasing Internet of Things (IoT) products — especially those for remote or harsh environments. That’s an understandable concern. Excessive power consumption could negatively impact the … Read more

How to Implement Data Version Control and Improve Machine Learning Outcomes

February 26, 2021 by Victorio Duran III

How to Implement Data Version Control and Improve Machine Learning Outcomes

It may surprise you to hear this, but machine learning is in something of a crisis.  In recent years, machine learning researchers have found it increasingly difficult to reproduce the findings made by algorithms. A key problem that has been … Read more

Machine Learning on the Network Edge

January 11, 2021 by Mark Patrick, Mouser Electronics

The Rise of Machine Learning at the Network Edge

Over the past few months, I have shown you why machine learning at the network edge is so essential. In this final article, we look back at why machine learning is needed and look at some of the real-world cases where it has already been … Read more

November 30, 2020 by Mark Patrick, Mouser Electronics

The Future of Machine Learning at the Edge

Over the last few months, I have shown you how Machine Learning at the edge is improving our lives. I also shared some practical examples to give you a chance to try it for yourselves. In this article, I look at the current limitations of edge ML and … Read more

chatbot

November 6, 2020 by Cate Lawrence

Questions and Answers in Virtual Assistants

The typical customer care virtual assistant (aka chatbot) can answer simple questions and maybe even perform some actions. But we need chatbots that really help solve customer problems instead of disappointing them with a “Sorry, I don't know.” When … Read more

genetic algorithms AI

October 28, 2020 by Cate Lawrence

Want to Learn about Genetic Algorithms? Start Life Hacking

It’s often hard to motivate ourselves to learn new tech - whether a new coding language or algorithm - when it’s not essential to our job. Tech not only moves fast, but it’s easy to get overwhelmed by the plethora of documentation, tutorials, and … Read more

ML at the edge

September 7, 2020 by Mark Patrick, Mouser Electronics

ML at the Edge: a Practical Example

Machine learning is the primary methodology for delivering AI applications. In previous articles, I discussed the main reasons behind moving machine learning to the network edge. These include the need for real-time performance, security … Read more

edge machine learning

August 3, 2020 by Mark Patrick, Mouser Electronics

Getting started with edge machine learning

In this six-article series from Mouser Electronics, we explore why AI is moving to the network edge and the technology that’s making it possible. The first article examined why AI needs to move to the edge. Here, we dive in to the hardware and tools … Read more

May 25, 2020 by Cate Lawrence

TensorFlow Furthers the Development of Machine Learning

In preparation for his talk at the upcoming Codemotion Deep Learning virtual conference next week, I spoke to Luiz GUstavo (Gus) Martins, TensorFlow Developer Advocate, at Google.  He explained that his main role is to help … Read more

neural networks

May 8, 2020 by Paolo Caressa

Epidemic Intelligence, part 2: data, models and machine learning in the age of Coronavirus

In a previous article, we shared some reflections on machine learning models for data fitting and prediction, playing with a simple dataset related to the spread of the current coronavirus emergency. We looked at simple models and mentioned some … Read more

coronavirus artificial intelligence

April 24, 2020 by Toby Moncaster

Using Machine Learning to diagnose COVID-19

The SARS-CoV-2 coronavirus and the associated COVID-19 disease have totally dominated our lives this year. The virus has brought death and hardship on a truly biblical scale. The fight against the virus has sparked a huge research effort. In the run … Read more

coronavirus data

April 18, 2020 by Paolo Caressa

Epidemic Intelligence, part 1: data, models and machine learning in the age of Coronavirus

The current global emergency due to the spread of the coronavirus in several countries shows how fragile our society's equilibrium is when faced with 'interior' threats such as an epidemic. Treatments to relieve symptoms and a vaccine will eventually … Read more

March 9, 2020 by Leo Sorge

Why do some machine learning models fail?

Everything is automatic and effortless with machine learning algorithms, right? Big data is all you need, after all. You have a dataset, you split it when necessary, you take one machine learning model, you train it and the miracle of a correct … Read more

January 17, 2020 by Vito Gentile

Generative AI: creating objects with machine learning

Recent advances in artificial intelligence (AI) and machine learning (ML) have allowed many companies to develop algorithms and tools to automatically generate artificial (but realistic) 3D or 2D images. Such algorithms are part of a research area … Read more

Machine learning as a service – serving reusable ML models

January 10, 2020 by Toby Moncaster

Machine learning as a service – serving reusable ML models

Artificial intelligence and machine learning are huge topics at the moment. So, when I saw the title of this talk at Codemotion Amsterdam 2019 I was intrigued. The talk was given by three developers from ING, who build components for the rest of the … Read more

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