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5 Ways AI Can Upgrade Your eCommerce Business

Accelerate AI Accelerate AIposted by Aviraj Makhija Makhija May 24, 2019

The eCommerce sector is one of the most profitable ones, with millions of online stores and digital portals showcasing products meant to cater to you from head to toe. According to Statista, the eCommerce revenues worldwide is anticipated to grow to 4.88 trillion US dollars in 2021. Clearly, the... Read more

AI for Good: Bad Guys, Messy Data, & NLP

Uncategorizedposted by Kailen Santos May 24, 2019

Artificial intelligence is typically viewed as a tool to help businesses propel themselves in the current digital economy. But the applications of AI are so wide that it can’t be boiled down to a ploy to gain capital. In fact, some seek to use AI and machine learning to... Read more

Deep Learning Research in 2019: Part 2

Deep Learning Deep Learning Researchposted by Luke Coughlin May 24, 2019

The deep learning revolution has continued to expand in 2019, affecting a wide range of fields from neuroscience to social media and more. In practical as well as theoretical applications, deep learning is growing more advanced and more influential. Below are some of the most interesting research papers published... Read more

Watch: Deploying Investments in AI and Machine Learning

Accelerate AI Machine Learning ODSC Speaker Accelerate AI Machine Learningposted by ODSC Team May 24, 2019

Over the next 18 months, companies will be completing the R&D phase of their AI/ML investments and will be deploying their models and algorithms to production. The proper execution of deploying your AI/ML models will separate the organizations who see an ROI on AI from those who don’t. This... Read more

Watch: High-Performance Data Science with Docker and Digital Ocean

Conferences ODSC Speaker Conferences Dockerposted by ODSC Team May 23, 2019

This talk discusses Docker as a tool for data scientists, in particular in conjunction with the popular interactive programming platform, Jupyter, and the cloud computing platform, Amazon Web Services (AWS). Using Docker, Jupyter, and AWS, a data scientist can take control of their environment configuration, prototype scalable data architectures,... Read more

Designing Better Recommendation Systems with Machine Learning

Machine Learning Conferences Machine Learning Recommendation Systemposted by Luke Coughlin May 23, 2019

Recommendation systems are among the most familiar applications of machine learning and artificial intelligence. Not only are these systems valuable to consumers who may be looking for anything from new shows to watch or a better options for airfare, but they are also important to the producers and advertisers... Read more

How Nonprofits Use AI to Improve the Workforce

Accelerate AI Conferencesposted by Kailen Santos May 23, 2019

Artificial intelligence has a hand in just about every industry possible, including the nonprofit sector. Though some may not realize it, nonprofit organizations account for nearly $400B of revenue annually worldwide. But some nonprofits still struggle to make ends meet and expand their workforces, causing them to fold and... Read more

The Power of Universal Latent Space In Medical Breakthroughs

Conferences NLP/Text Analytics Conferences NLPposted by Elizabeth Wallace, ODSC May 22, 2019

The cost to develop new medicines has grown tremendously despite our computing and medical advances. Although we have a greater need than ever for massive breakthroughs in medical science, the industry itself is still a slow, highly regimented field. Mason Victors, CTO and CPO for Recursion Pharmaceuticals believes that... Read more

Problem Solving with Data for a Better Business

Accelerate AI Conferences Featured Postposted by Kailen Santos May 22, 2019

When working with large datasets, the smallest anomalies can throw a wrench in predictive analysis. For example, if a company manually enters data into its database, a human error like mistyping or improper timestamps in the training data of a machine learning model may give you reduced accuracy results.... Read more

The Complete Guide to Decision Trees (part 2)

Machine Learning Modeling Decision Trees Machine Learningposted by Diego Lopez Yse May 21, 2019

(See part 1 here.) Now you may ask yourself: how do DTs know which features to select and how to split the data? To understand that, we need to get into some details. All DTs perform basically the same task: they examine all the attributes of the dataset to... Read more