​​Following our series of articles about cloud infrastructures for solving the Machine Learning (ML) pipeline problem, this time we gave Google Cloud ML a try. We’ll also provide a comparison between Amazon SageMaker and Google ML. We emphasize their differences and similarities and provide load testing performance results.

8 minute read

#MachineLearning #GoogleML #AmazonSageMaker

​​My first payment from a real customer finally cleared. Product Pix just made $65.36. I feel like I can finally write a bit about my journey so far in building a SaaS (software as a service). I can finally tell for sure that someone out there thinks my site is generating real value.

9 min read

#SaaS #MachineLearning #ML

​​Google wants to improve the web experience, fast. Site performance is a core concern for the tech giant, especially since they revealed in early 2017 that the average website load time on mobile was 22 seconds, while also revealing that 53% of users quit a website on mobile if it takes longer than 3 seconds to load.

5 min read

#MachineLearning

​​Recently, a report was released regarding the misuse from companies claiming to use artificial intelligence on their products and services. According to the Verge, 40% of European startups that claimed to use AI don’t actually use the technology. Last year, TechTalks, also stumbled upon such misuse by companies claiming to use machine learning and advanced artificial intelligence to gather and examine thousands of users’ data to enhance user experience in their products and services.

13 min read

#MachineLearning #ArtificialIntelligence

​​Machine learning is complex. For newbies, starting to learn machine learning can be painful if they don’t have right resources to learn from.

4 min read

#MachineLearning