Building search systems is hard. Preparing them to work with machine learning is really hard. Developing a complete search engine framework integrated with AI is really really hard.So let’s make one. ✌️In this post, we’ll build a search engine from scratch and discuss on how to further optimize results by adding a machine learning layer using Kubeflow and Katib. This … [Read more...] about Building a Complete AI Based Search Engine with Elasticsearch, Kubeflow and Katib
Infrastructure
The Essential Landscape of Enterprise AI Companies (2020)
By our definition, "enterprise" technology companies create tools for workplace roles and functions that a large number of businesses use.Plenty of enterprise companies use combinations of automated data science, machine learning, and modern deep learning approaches for tasks like data preparation, predictive analytics, and process automation. Many are well-established … [Read more...] about The Essential Landscape of Enterprise AI Companies (2020)
An AI Researcher’s Exploration of 200 Machine Learning Tools
To better understand the landscape of available tools for machine learning production, I decided to look up every AI/ML tool I could find. The resources I used include:Full stack deep learningLF AI Foundation landscapeAI Data LandscapeVarious lists of top AI startups by the mediaResponses to my tweet and LinkedIn postPeople (friends, strangers, VCs) share … [Read more...] about An AI Researcher’s Exploration of 200 Machine Learning Tools
The 5 Components Towards Building Production-Ready Machine Learning Systems
IntroductionThe biggest issue facing machine learning is how to put the system into production. Machine learning systems differ from traditional software in two fundamental ways:Machine learning is never fully deterministic; therefore, the performance of an ML system can’t be evaluated against a strict specification. Instead, it should always be evaluated against … [Read more...] about The 5 Components Towards Building Production-Ready Machine Learning Systems
Take Your Machine Learning Models To Production With These 5 Simple Steps
Creating a great machine learning system is an art.There are a lot of things to consider while building a great machine learning system. But often it happens that we as data scientists only worry about certain parts of the project.But do we ever think about how we will deploy our models once we have them?I have seen a lot of ML projects, and a lot of them are doomed … [Read more...] about Take Your Machine Learning Models To Production With These 5 Simple Steps
Top AI Research Advances For Machine Learning Infrastructure
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
How Much Does MLaaS Cost?
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?
A Comprehensive Beginner’s Guide To Machine Learning As A Service
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
How Comcast Handles Vast Amounts of Streaming Data with MLFlow and Kubernetes
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
A Step-By-Step Guide On Deploying A Machine Learning Model
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