KDnuggets™ News 21:n40, Oct 20: The 20 Python Packages You Need For Machine Learning and Data Science; Ace Data Science Interviews with Portfolio Projects
Tags: Clustering, Computer Vision, Data Science, Image Recognition, Interview, Machine Learning, Portfolio, Python
The 20 Python Packages You Need For Machine Learning and Data Science; How to Ace Data Science Interview by Working on Portfolio Projects; Deploying Your First Machine Learning API; Real Time Image Segmentation Using 5 Lines of Code; What is Clustering and How Does it Work?
This week on KDnuggets: The 20 Python Packages You Need For Machine Learning and Data Science; How to Ace Data Science Interview by Working on Portfolio Projects; Deploying Your First Machine Learning API; Real Time Image Segmentation Using 5 Lines of Code; What is Clustering and How Does it Work?; and much, much more.
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Features
- The 20 Python Packages You Need For Machine Learning and Data Science, by Sandro Luck
How to Ace Data Science Interview by Working on Portfolio Projects, by Abid Ali Awan - Deploying Your First Machine Learning API, by Abid Ali Awan
- Real Time Image Segmentation Using 5 Lines of Code, by Ayoola Olafenwa
- What is Clustering and How Does it Work?, by Satoru Hayasaka
Products, Services
- 2021 Data Engineer Salary Report Shares Insights on a Swiftly Evolving Market, by Burtch Works
- Learn from Northwestern Data Science experts, by Northwestern
- How Hasura Improved Conversion Rates By 20% With PostHog, by PostHog
- Amazon Web Services Webinar: Leverage data sets to create a customer-centric strategy and improve business outcomes, by Roidna
- Knowledge Graph Forum: Technology Ecosystem and Business Applications, by Ontotext
Tutorials, Overviews
- Building Multimodal Models: Using the widedeep Pytorch package, by Rajiv Shah
- New Computing Paradigm for AI: Processing-in-Memory (PIM) Architecture, by Nam Sung Kim
- How to calculate confidence intervals for performance metrics in Machine Learning using an automatic bootstrap method, by David B Rosen (PhD)
- 11 Most Practical Data Science Skills for 2022, by Terence Shin
- Serving ML Models in Production: Common Patterns, by Mo, Oakes & Galarnyk
- How to Create an Interactive Dashboard in Three Steps with KNIME Analytics Platform, by Emilio Silvestri
Opinions
- Avoid These Five Behaviors That Make You Look Like A Data Novice, by Tessa Xie
- How our Obsession with Algorithms Broke Computer Vision: And how Synthetic Computer Vision can fix it, by Paul Pop
- Will Your Job be Replaced by a Machine?, by Martin Perry
- How Data Professionals Can Impress Even When Busy, by Devin Partida
Top Stories
- Top Stories, Oct 11-17: Query Your Pandas DataFrames with SQL, by KDnuggets
- KDnuggets Top Blogs Rewards for September 2021, by Gregory Piatetsky
Jobs
- See our recent jobs in AI, Analytics, Data Science, Machine Learning
- You can post a free short entry on KDnuggets jobs page for an industry or academic job related to AI, Big Data, Data Science, or Machine Learning, email – see details at kdnuggets.com/jobs
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