Posts by Algorithmia
Sort by
4 June 2020
3 min read
Big data is a field that was developed for organizations to process, analyze, and extract information from datasets that are too large for traditional data collection methods. Today, we will be talking about the big data industry, including what kinds of industries use this data, real world examples...
21 May 2020
6 min read
The difference between machine learning and statistics has been the subject of long-running debate. A debate so contentious at times, that it has even become the subject of memes.  Some say that machine learning is just glorified statistics, rebranded for the age of big data and faster computing. Others...
20 May 2020
3 min read
In the last 12 months, there have been myriad developments in machine learning (ML) tools and applications, yet many companies are still struggling to see tangible business results from AI models in production. Deploying AI/ML solutions isn’t easy, but Algorithmia and Appen make it simple to tackle...
14 May 2020
4 min read
With the prevalence of computer science constantly rising, knowing at least the basics of machine learning systems is extremely valuable in business. Today we will be discussing 8 of the best machine learning books, from beginner to expert level, along with the topics covered in each, where you can get...
7 May 2020
7 min read
We encounter the results of prediction models everyday. We get offered the right incentive to buy a product. We get a text from the bank when something strange is happening with our accounts. And we rarely have to see spam in our inboxes. This is all thanks to the models built on the data that we generate...
27 April 2020
5 min read
Data insights are knowledge that a company gains from analyzing sets of information pertaining to a given topic or situation. Analysis of this information provides insights that help businesses make informed decisions and reduces the risk that comes with trial-and-error testing methods.  In the digital...
15 April 2020
7 min read
You’ve probably heard it said in machine learning that when it comes to getting great results, the data is even more important than the model you use. This is true, and it’s not just the native data that’s so important but also how we choose to transform it. This is where feature...
8 April 2020
8 min read
Python is one of the most commonly used programming languages by data scientists and machine learning engineers. Although there has been no universal study on the prevalence of machine learning algorithms in Python in machine learning, a 2019 GitHub analysis of public repositories tagged as “machine-learning”...
26 March 2020
6 min read
Machine learning data analysis uses algorithms to continuously improve itself over time, but quality data is necessary for these models to operate efficiently. Today, we will be discussing what machine learning datasets are, the types of data needed for machine learning to be effective, and where engineers...
24 March 2020
6 min read
  The increasing demand in artificial intelligence and machine learning specialists has put a spotlight on the skills and knowledge needed to excel in this profession. In particular, many aspiring machine learning engineers want to know which programming languages they should master to be competitive...