This is an overview of the architecture and the implementation details of the most important Deep Learning algorithms for Time Series Forecasting.This article was originally published on Towards Data Science and re-published to TOPBOTS with permission from the author.MotivationTime Series Forecasting has always been a very important area of research in many domains … [Read more...] about Time Series Forecasting with Deep Learning and Attention Mechanism
Data Science & Engineering
This is an overview of the architecture and the implementation details of the most important Deep Learning algorithms for Time Series Classification.This article was originally published on Towards Data Science and re-published to TOPBOTS with permission from the author.Why Time Series Classification?First of all it’s important to underline why this … [Read more...] about Time Series Classification with Deep Learning
A brief history: ImageNet was first published in 2009 and over the next four years would go on to form the bedrock of most computer vision models. To this day whether you are training a model to detect pneumonia or classify models of cars you will probably start with a model pre-trained on ImageNet or some other large (and general image) dataset.More recently papers … [Read more...] about Transfer Learning for Time Series Forecasting and Classification
Throughout this article, you will become good at spotting, understanding, and imputing missing data. We demonstrate various imputation techniques on a real-world logistic regression task using Python. Properly handling missing data has an improving effect on inferences and predictions. This is not to be ignored.The first part of this article presents the framework for … [Read more...] about Handling Missing Data For Advanced Machine Learning
Are you hiring technical AI talent for your company? Post your openings on the TOPBOTS jobs board (go to jobs board) to reach thousands of engineers, data scientists, and researchers currently looking for work.Artificial Intelligence brings a promise of exponential growth and taking your business to new heights. No wonder there is a lot of excitement around the application … [Read more...] about What Do You Need To Do Before Hiring A Data Scientist?
As deep learning models become more and more popular in real-world business applications and training datasets grow very large, machine learning (ML) infrastructure is becoming a critical issue in many companies.To help you stay aware of the latest research advances in ML infrastructure, we’ve summarized some of the most important research papers recently introduced in this … [Read more...] about Top AI Research Advances For Machine Learning Infrastructure
Machine learning as a service (MLaaS) platforms offer machine learning tools as a part of cloud computing services. If you are new to the MLaaS concept, check out our comprehensive beginner's guide to machine learning as a service.The key players in this market include Amazon, Microsoft, Google, and IBM. The offerings of these providers vary. So, if you are looking for the … [Read more...] about How Much Does MLaaS Cost?
What’s machine learning as a service or MLaaS?Machine learning as a service (MLaaS) refers to a number of services that offer machine learning tools as a part of cloud computing services. The main benefit of this solution is that customers can get started with machine learning applications quickly without installing specific software or provisioning their own servers. All … [Read more...] about A Comprehensive Beginner’s Guide To Machine Learning As A Service
Comcast is one of the leading providers of communications, entertainment, and cable products and services. It employs classical machine learning (ML) models and deep learning for a variety of computer vision tasks, natural language processing, and personalization of customer experience. As the company invokes models billions of times per day, it needs quite a robust ML … [Read more...] about How Comcast Handles Vast Amounts of Streaming Data with MLFlow and Kubernetes
One the key ways that a data scientist can provide value to a startup is by building data products that can be used to improve products. Making the shift from model training to model deployment means learning a whole new set of tools for building production systems. Instead of just outputting a report or a specification of a model, productizing a model means that a data science … [Read more...] about A Step-By-Step Guide On Deploying A Machine Learning Model