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machine learning
How to Choose Machine Learning or Deep Learning for Your Business
AI is the future, or so you’re hearing. Every day, news of another organization leveraging AI to produce business outcomes that outstrip competition hit your inbox, but your company either hasn’t started at all or is mired in the discussion. AI, machine learning, and deep learning are sometimes used interchangeably,... Read more
25 Excellent Machine Learning Open Datasets
Your machine learning program is only as good as your training sets. Data sets are an integral part of the quality of your machine learning, but you may not always have access to data behind closed walls or the budget to purchase (or rent) the key. Don’t despair. There are... Read more
4 Steps to Start Machine Learning with Computer Vision
In 2012, AlexNet took first place at the ImageNet Large Scale Visual Recognition Challenge, marking the first time a convolutional neural network had won the image classification competition. One more factor that made this achievement much more significant is that AlexNet showed twice the accuracy than the second-place participant. In... Read more
Darwin: Machine Learning Beyond Predefined Recipes
The same way a tailored suit feels and looks different from generic options because it actually fits, tailored models perform differently than pre-established boxed algorithms because they are custom-fitted to your data. To answer this need, SparkCognition has developed Darwin™, a machine learning product that automates the building and deployment... Read more
Machine Learning Challenges You Might Not See Coming
There seems to be a skills gap, and a skills misunderstanding, when it comes to Data Science, Engineering, and DevOps as a joint process. At our machine learning consultancy, Infinia ML, we view deployment as a sequential process across teams: (1) Data Science explores data and develops algorithm(s). (2a) Engineering... Read more
What You Need to Know About Adopting Big Data, AI, and Machine Learning
Most businesses are now very familiar with technologies like big data analytics, artificial intelligence (AI) and machine learning (ML). Executives have poured over case studies and performance statistics to better understand how these technologies can improve their products and services, as well as improve efficiencies and reduce costs associated with... Read more
Unleashing the Power of AI Machine Learning to Improve the Hiring Process
Undoubtedly, the power of machine and algorithmic driven intelligence empowered by exponentially growing data – collectively referred to as artificial intelligence (AI), riding on the cusp of cloud-based computing, has tremendously revolutionized our visions and perception beyond any bounds. Cumulatively, rapid scaling of digital technologies is driving out-of-box boundaries of... Read more
Automating Machine Learning: Just How Much?
Many businesses are interested in deploying machine learning, predictive analytics, or AI to gain the upper hand and make the right decisions. This can be a struggle as finding the right technology and trustworthy experts is both expensive and complex. Even when the technology is provided, deploying machine learning is... Read more
Asking the Right Questions with Machine Learning
Chris Gropp, a PhD student at Clemson University, spoke at HPCC Systems Tech Talk 10, focusing on how to plan effectively at the start of a machine learning research project to achieve a successful outcome. This blog shares his experience on how to ask the right questions with machine learning,... Read more
Darwin: Machine Learning Beyond Predefined Recipes
While machine learning has enabled massive advancements across industries, it requires significant development and maintenance efforts from data science teams. The next evolution in human intelligence is automating the creation of machine learning models that do not follow predefined formulas, but rather adapt and evolve according to the problem’s data.... Read more