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Amplifying Deep Learning: A Dive into Data Augmentation Strategies

Analytics Vidhya

Introduction In the world of deep learning, where data is often less, the role of data augmentation has become very important. We use methods like turning images or flipping them to make our model learn better. But our datasets are becoming more complicated. That’s where data augmentation steps in.

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Free MIT Course: TinyML and Efficient Deep Learning Computing

KDnuggets

Dive into the complete overview of MIT's TinyML and Efficient Deep Learning Computing course. Explore strategies to make AI smarter on small devices. Curious about optimizing AI for everyday devices? Read the full article for an in-depth look!

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How To Create A Marketing Strategy Using Artificial Intelligence?

Analytics Vidhya

To succeed, businesses need to harness the power of Machine learning, Data Science, Deep Learning, and Artificial Intelligence to create marketing strategies that are targeted, efficient, and effective to capture the target audience. appeared first on Analytics Vidhya.

Marketing 268
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When and When Not to Use Deep Learning

Dataiku

Deep learning is all the rage today, as major breakthroughs in the field of artificial neural networks in the past few years have driven companies across industries to implement deep learning solutions as part of their AI strategy.

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Data Scientist’s Insights: Strategies for Innovation and Leadership

Analytics Vidhya

With their expertise in statistics, machine learning, AI, and programming, they are able to […] The post Data Scientist’s Insights: Strategies for Innovation and Leadership appeared first on Analytics Vidhya.

Strategy 273
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Informed Search Strategies for State Space Search Solving

Analytics Vidhya

Introduction In the last article, we learned about various blind search algorithms because no further information is given beyond the constraints laid out in the problem. The post Informed Search Strategies for State Space Search Solving appeared first on Analytics Vidhya. The disadvantage […].

Strategy 254
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A Practitioner’s Guide to Deep Learning with Ludwig

Domino Data Lab

New tools are constantly being added to the deep learning ecosystem. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research.