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Interpretability is crucial for trusting AI and machine learning
We explain what exactly interpretability is and why it is so important, focusing on its use for data scientists, end users and regulators.
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A Complete Guide to Choosing the Best Machine Learning Course
A collection of the best courses covering machine learning concepts and techniques, including supervised and unsupervised learning, and hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer.
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8 Reasons to Take Data Analytics Certification Courses
We outline some of the benefits of taking data analytics classes, including the huge job opportunities, the current gap in the market, the salary aspect, the flexibility of working in any sector, and more.
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My secret sauce to be in top 2% of a Kaggle competition
A collection of top tips on ways to explore features and build better machine learning models, including feature engineering, identifying noisy features, leakage detection, model monitoring, and more.
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Top 5 domains Big Data analytics helps to transform
Big data analytics gives a competitive advantage to companies across many industries, especially, financial services, e-commerce, aviation, transportation, logistics, and energy. It enables to reduce downtime, mitigate risks, cut costs, and improve performance.
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An Introduction to AI
We provide an introduction to AI key terminologies and methodologies, covering both Machine Learning and Deep Learning, with an extensive list including Narrow AI, Super Intelligence, Classic Artificial Intelligence, and more.
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Best Deals in Deep Learning Cloud Providers: From CPU to GPU to TPU
A detailed comparison of the best places to train your deep learning model for the lowest cost and hassle, including AWS, Google, Paperspace, vast.ai, and more.
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Healthcare Analytics Made Simple
Finally, a book on Python healthcare machine learning techniques is here! Healthcare Analytics Made Simple does just what the title says: it makes healthcare data science simple and approachable for everyone.
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What does a data scientist REALLY look like?
Using the responses from Stack Overflow's 2018 Annual Developer Survey, we attempt to build a portrait of data scientists today, including a look at gender, skills, job satisfaction, and more.
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Deep Learning Performance Cheat Sheet
We outline a variety of simple and complex tricks that can help you boost your deep learning models accuracy, from basic optimization, to open source labeling software.
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