There is a very high demand for AI & ML professionals who are qualified enough to do state-of-the-art research and engineering. At the same time, the supply of specialized AI talent is scarce – though the situation is gradually improving thanks to the new Master’s and Ph.D. programs in data science and machine learning that have been launched all over the world in the last … [Read more...] about Beginner’s Guide To Hiring AI And Machine Learning Engineers
ML Engineer, Data Scientist, Research Scientist: What’s the Difference?
If you have to write an artificial intelligence (AI) or machine learning (ML) job description, it can be difficult to convey precisely what kind of new employee you want to hire. Doing so requires using the right language, plus understanding what type of role is most appropriate for what you want to achieve. To guide you through the challenging process of recruiting top AI … [Read more...] about ML Engineer, Data Scientist, Research Scientist: What’s the Difference?
TOPBOTS Guide To NeurIPS 2019
This year’s Annual Conference on Neural Information Processing (NeurIPS 2019) will be held in Vancouver, Canada from December 8th to 14th, 2019. The popularity of this conference is growing rapidly, with the number of submitted papers getting to the record-breaking number of 6743, almost 40% more than last year. The TOPBOTS team is also going to NeurIPS again this year. To … [Read more...] about TOPBOTS Guide To NeurIPS 2019
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?
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
How To Optimize Product Design With AutoML (H2O Driverless AI Case Study)
Stanley Black & Decker is a company known for its consumer and professional tools, storage solutions and other products. It has quite a few well-known brands under its umbrella, including DeWalt, Proto, Lista, and Craftsman. However, tools and storage make up only half of their business. At Stanley, they also offer various solutions in consumer and residential security and … [Read more...] about How To Optimize Product Design With AutoML (H2O Driverless AI Case Study)
What’s State Of The Art In AutoML in 2019?
More and more industries and organizations are leveraging artificial intelligence to delight customers and cut through the competition. However, development and deployment of deep learning models is time-consuming and costly - often prohibitively costly. That’s when automated machine learning (AutoML) comes into play. AutoML solutions can significantly increase the efficiency … [Read more...] about What’s State Of The Art In AutoML in 2019?
How To Crowdsource Labeled Datasets Quickly With Open-Source Tools Like Snorkel
Getting sufficient amounts of labeled training data is a major bottleneck for many machine learning (ML) projects. You can create fancy models but they will be of little value if domain experts need to spend years labeling the relevant dataset. That is particularly relevant in areas where high expertise is required from data labelers, like, for example, in medical applications … [Read more...] about How To Crowdsource Labeled Datasets Quickly With Open-Source Tools Like Snorkel
How Airbnb Solves Enterprise-Scale Data Challenges For Machine Learning
Traditional data warehouses are built for Business Intelligence analytics, CEO Dashboards, and other types of business reporting prepared for “human consumption.” That often implies that data in these warehouses is not ready for “machine consumption,” including machine learning (ML) models. For example, it is mostly sufficient for humans to know the date of a particular event, … [Read more...] about How Airbnb Solves Enterprise-Scale Data Challenges For Machine Learning