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19 Data Science Project Ideas for Beginners
This article features 19 data science projects for beginners, categorized into 7 full project tutorials, 5 places to come up with your own data science projects using data, and 7 skills-based data science projects.
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Hands-On Reinforcement Learning Course, Part 2
Continue your learning journey in Reinforcement Learning with this second of two part tutorial that covers the foundations of the technique with examples and Python code.
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Explainable Forecasting and Nowcasting with State-of-the-art Deep Neural Networks and Dynamic Factor Model
Review this detailed tutorial with code and revisit the decades-long old problem using a democratized and interpretable AI framework of how precisely can we anticipate the future and understand its causal factors?
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Hands-On Reinforcement Learning Course, Part 1
Start your learning journey in Reinforcement Learning with this first of two part tutorial that covers the foundations of the technique with examples and Python code.
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Why we will always need humans to train AI — sometimes in real-time
Customizable, real-time data labeling pipelines that can continuously receive and process unlabeled data are necessary to train and perfect the AI that impacts our lives and daily conveniences.
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10 Key AI & Data Analytics Trends for 2022 and Beyond
By Matthew T. Dearing on December 17, 2021 in 2022 Predictions, AI, Data, Data Analysis, Deep Learning, Environment, Low-Code, No-Code, Python, TrendsWhat AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.
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How I 14Xed my salary in 14 years as a data analytics/science professional
Learn how one data scientist increased their full-time job salary 14 times in 14 years of a career, with highlights on experiencing an IPO, RSUs, start-ups and working at FAANG companies.
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12 Tips: From Data Analyst to Startup Co-Founder
Thinking about taking your data science expertise to a new level of creating a start-up company? These tips -- learned from experience -- can help you forge an early path toward success.
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Data Labeling for Machine Learning: Market Overview, Approaches, and Tools
So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever. Here, we highlight many of the top players in this industry and the techniques they use to help you consider which might make a good partner for your needs.
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