We share strategies for getting machine learning jobs, from understanding the market and building a portfolio to skill improvement and the application process. | Continue reading
Facebook computer vision tags, Nanit, and Roboflow are some of the most upvoted computer vision startups posted on Product Hunt. | Continue reading
We talk to researcher Lisa Soros about evolutionary algorithms, developing open-ended systems, and why games are such a fertile environment for testing AI. | Continue reading
In this article we look at 6 types of neural networks used in deep learning, focusing on how they work and their common applications. | Continue reading
In this article we explore a few techniques for deepfake detection. We also look at the broad challenges facing these techniques both at present and in the future. | Continue reading
In the field of machine learning, meta learning techniques focus on the research and development of automated learning algorithms. To get a better understanding of them, I got in touch with Nicholas Guttenberg, a senior research scientist at CrossLabs. | Continue reading
As the foundation of many world economies, the agricultural industry is ripe with public data to use for machine learning. We at Lionbridge AI have gathered the best publicly available agricultural datasets for machine learning projects. | Continue reading
Google Cloud NLP, IBM Watson, and the Lionbridge AI platform are some of the best NLP and text classification tools for ML projects. | Continue reading
Online courses are one of the best ways to study machine learning, so we've written an overview of the 5 best machine learning courses on Coursera. | Continue reading
Life sciences and medical datasets are useful for providing economical solutions for healthcare and medical diagnosis software systems. | Continue reading
With the rapid rise in natural language processing applications for businesses, we talked with Arnaud Rachez to learn more about the current landscape and how to ensure quality data. | Continue reading
Twitter sentiment analysis is the process of analyzing tweets and classifying them as positive, negative, or neutral based on their content. In this article, we'll build a machine learning model specifically for the sentiment analysis of Twitter data. | Continue reading
Used productively, Reddit can serve as a great way to stay updated on news, discuss ideas, and attain knowledge and resources for machine learning. Here is the ultimate list of the best subreddits to subscribe to. | Continue reading
In this blog post, we introduce 12 best machine learning Slack groups for data scientists to meet like-minded people and stay updated on the latest AI and machine learning trends. | Continue reading
In this interview with NeurIPS organizers and ML pioneers Terrence Sejnowski and Michael Mozer, we talk about the early days of the conference, its trends, and where it is headed. | Continue reading
OpenCV and NumPy are programming libraries for computer vision and Python programming. In this blog we'll learn OpenCV and NumPy's coordinate systems as they relate to image processing. | Continue reading
We look more closely at three areas where machine learning in medicine is experiencing significant growth: dermatology diagnosis, population-level outbreak prediction, and improvements to racial disparities. | Continue reading
The open climate change datasets in this list come from government repositories and educational institutions and include temperature data, sea ice data, and more. | Continue reading
Artificial general intelligence (AGI) is a machine that can understand or learn any intellectual task done by human beings. In this interview with Marek Rosa, CEO and founder of GoodAI, we discuss current challenges facing AGI, how to create algorithms that learn, and future goal … | Continue reading
in this article we will look at machine learning music generation via deep learning processes by generating our own music from an open source dataset. | Continue reading
We interviewed Luigi Patruno, founder of ML in Production, to talk about resources for production ML, the importance of monitoring machine learning systems, advice for people embarking on ML projects, and the challenges facing businesses and data scientists. | Continue reading
In this article, we look at why a global approach to NLP is so important for the future of machine learning. | Continue reading
Where’s the best place to look for free datasets for named entity recognition? We've created a list of the best open datasets for entity extraction. | Continue reading
In this article, we look at how to use GANs to generate unique anime faces, and guide you through how to do it yourself! | Continue reading
We dive deep into the world of transformer models for machine learning, and explain how they work by translating an English sentence to German. | Continue reading
In this article, we look at ways to utilize Numpy for image processing tasks by tackling a few toy problems and explaining optimal and efficient solutions. | Continue reading
In this article, we walk through how to use natural language processing to build a spam detection system. We take an open source spam dataset, prepare the data for use, and evaluate its performance. | Continue reading
Introducing 13 free Japanese language text datasets for machine learning, natural language processing, sentiment analysis, and more. | Continue reading
Training data is a collection of labeled information that’s used to build a machine learning model. It usually consists of text, images, video, or audio. | Continue reading
We've put together some of the best online resources for learning about data preparation for machine learning. | Continue reading
We’ve listed common types of data bias in machine learning to help you analyze and understand where it happens, and what you can do about it. | Continue reading
What is edge computing in simple terms? This article looks at how edge AI and edge computing are improving modern technology. | Continue reading
In this interview we talk to Xander Steenbrugge about using generative networks to develop AI art. We discuss the GANs behind his Neural Synesthesia project and effect of AI on art. | Continue reading
In this article we look at how deep learning newcomers can create object detection systems with the help of cloud services. | Continue reading
Subtle differences in regional accents, diction, enunciation and slang make it difficult to develop accurate NLP applications for Indian languages. To help, we at Lionbridge have put together a list of the best Hindi language datasets for machine learning. | Continue reading
In our interview with Adam Gibson we look at the work of Konduit AI and the potential for AI in Southeast Asia | Continue reading
An effective chatbot requires a massive amount of data in order to quickly solve user inquiries without human intervention. Here's our ultimate list of the best conversational datasets to train a chatbot system. | Continue reading
Download these free datasets to kickstart your marketing automation initiatives and machine learning projects. | Continue reading
We at Lionbridge have compiled a list of 14 movie datasets. Many of the datasets on this list contain data points such as the cast and crew members, script, run time, and reviews. You could use these movie datasets for machine learning projects in natural language processing, sen … | Continue reading
For anyone interested in building an ecommerce model, we at Gengo have gathered publicly available ecommerce data and retail datasets for machine learning. | Continue reading
Introducing the best software vendors that specialize in artificial intelligence and machine learning technologies. | Continue reading
To provide researchers with training data for image super resolution and depth estimation, Leia Inc. has released Holopix50k, the world’s largest “in-the-wild” stereo image dataset. | Continue reading
Looking for natural language processing solutions? This list covers the best NLP tools, libraries, and services to help you find the best one for your project. | Continue reading
Chinese progress in voice technology is far outstripping its competitors in the west. In this article, we explore some of the reasons why conditions in China are ripe for innovation in machine learning - and why voice recognition tech has been integral to market growth. | Continue reading
In this article we look at how to leverage weak annotations for machine learning through several Weakly Supervised Learning (WSL) techniques for image-based data. | Continue reading
In this article, we will briefly introduce eight simple data collection techniques that are applicable to a variety of different business models. | Continue reading
We interview the maker of AI Gahaku to learn what inspired this AI artist, how it was made, and how to make a start in programming with zero experience. | Continue reading