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How Research Meets Practice: 2022 Machine Learning Trends and Techniques

Through the lens of three real-world data science projects, discover promising ML trends and techniques for 2022 and beyond.

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Data Quality: AI Ups the Ante | Dataiku x GigaOm

Any sound data science pipeline prioritizes gathering clean, trusted, and accessible data before diving into a machine learning project. Ensuring quality data also inspires credibility and promotes adoption of data-driven practices. How do you ensure your data checks these boxes?

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Using Statistics to Become a Better Data Scientist

As demand for the data scientist role remains high, the onus is on data scientists to find ways to differentiate themselves amidst a sea of competition. In this webinar, data scientists will be able to gain key statistics and probability concepts to increase their understanding of machine learning models, experimental design, and bring a new perspective to their projects.

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How Companies Are Finding the Right Data | Dataiku x VB Transform

Trends on how companies are identifying the right data to train AI and machine learning algorithms accurately to tackle various issues such as personalization and fraud with increased speed and agility.

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Interactive Document Intelligence With NLP

Use NLP to automatically digitize documents, extract text, and consolidate data into a unified and searchable database and ultimately provide the trends and insights in a purpose-built dashboard for business users.

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