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Over the past few years, AI, and its subsets machine learning, deep learning, and NLP among others, have become the norm in business. No longer is AI accessible to only the Fortune 500 companies. Now, a wide range of organizations are utilizing AI for chatbots, fraud... Read more
Each year, organizations and research firms output yearly Cybersecurity Threat and Breach predictions. Due to the Covid-19 pandemic, a global shift has occurred, forcing organizations to adapt to a “new normal” that includes a more distributed remote workforce. In turn, this has greatly affected data theft.... Read more
If you’re familiar with conspiracy theories regarding COVID-19 vaccines, Barack Obama’s birthplace, or Hillary Clinton’s ties to “Pizzagate”, you’ve experienced only a fraction of contemporary disinformation. With the rise of social media and its capacity for viral posts and fake news, disinformation campaigns have become a common... Read more
The following post introduces PyTorch Lightning, outlines its core design philosophy, and provides inline examples of how this philosophy enables more reproducible and production-capable deep learning code. What is PyTorch Lightning? PyTorch Lighting is a lightweight PyTorch wrapper for high-performance AI research. Simply put, PyTorch Lightning... Read more
ODSC East 2021 is a little more than a month away, and we know that the most exciting part of the event is learning from a diverse cohort of speakers, researchers, founders, and practitioners from under the AI and data science umbrella. This year, we’re expanding... Read more
With 80+ hands-on training sessions and workshops and over 300+ hours of content, it can be difficult to determine which ODSC East sessions this March 30th to April 1st will help you develop your target skills. To help you identify the sessions you want to attend,... Read more
One of the biggest challenges facing society today is the proliferation of fake news and fake stats. It is relatively easy, today, to come up with statistics and charts that can bolster dubious claims. But, it is much more difficult to counter such claims. And it... Read more
When building computer vision solutions, the emphasis is usually on the modeling side and on leveraging the latest algorithm. While the model is important, in my experience I have found that an even more important component to delivering a successful solution is to build and maintain... Read more
LightGBM is an open-source framework for solving supervised learning problems with gradient-boosted decision trees (GBDTs). It ships with built-in support for distributed training, which just means “using multiple machines at the same time to train a model”. Distributed training can allow you to train on larger... Read more
Supervised machine learning is essentially classification: ball vs strike; dog vs cat vs horse vs cow; etc. For these types of problems, the most fundamental question is always: can I create an accurate and generalized model (classifier) from the data I have collected? Today, the only... Read more