Machine learning

Algorithms that independently learn to make predictions and decisions after training on datasets instead of being explicitly programmed.

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24 December 2019
6 min read
Machine learning is providing enterprise-level solutions and careers for many companies. It is quite a broad field, however, and comprises many subcategories and countless uses. So what exactly is machine learning, how and why is it used, and what companies are using it? Let’s dive into those questions...
17 December 2019
6 min read
As more organizations incorporate AI and machine learning in to their processes, data scientists and analysts must continue to learn about how these techniques solve business problems. Previously on this blog we discussed how particular algorithms may be more appropriate for particular research questions...
13 December 2019
5 min read
Types of machine learning Machine learning comes in three basic types: supervised, unsupervised, and reinforcement learning. Reinforcement learning follows a different paradigm from the other two, so we’ll leave it for another post.  The most common form of machine learning, and the most prototypical,...
10 December 2019
4 min read
Demand forecasting is a common business practice for optimizing workflow in inventory, but it  actually has use cases across all industries even if it isn’t immediately clear. Let’s walk through how demand forecasting can be used and explore its value.    What is demand forecasting? Demand forecasting...
6 December 2019
6 min read
Machine learning is a vast field, composed of many model types, subsets, and use cases. In our forthcoming 2020 State of Enterpriser Machine Learning report, we dig into the use cases that are used most often by businesses today, but as there are new advances made in ML every day, there are also advances...
4 December 2019
4 min read
Read it Reflects data only from survey Group B. Respondents were allowed to choose more than one answer. In the last 12 months, there have been numerous developments in machine learning (ML) tools, applications, and hardware. Google’s TPUs are in their third generation, the AWS Inferentia chip is a...
29 November 2019
10 min read
Sentiment analysis invites us to consider the sentence, You’re so smart! and discern what’s behind it. It sounds like quite a compliment, right? Clearly the speaker is raining praise on someone with next-level intelligence. However, consider the same sentence in the following context. Wow,...
25 November 2019
6 min read
(Wikispecies) R is an excellent language for machine learning. R primarily excels in the following three areas: Data manipulation Plotting Built-in libraries R manipulates data using a native, in-built data structure called a data frame. Let’s load some data now and see how R can help us to...
20 November 2019
6 min read
(Depiction of a clustering model, Medium) Getting started with machine learning starts with understanding the how and why behind employing particular methods. We’ve chosen five of the most commonly used machine learning models on which to base the discussion. AI taxonomy  Before diving too deep,...
19 November 2019
5 min read
Every year, millions of dollars are wasted planning, cleaning, and training machine learning (ML) models that will never get to production. This means that more than half of data science projects are not fully deployed—and some never will be, resulting in zero generated revenue. When organizations...