Author Archives: 365Data Science

The story of machine proofs — Part II Table of contents Introduction Landscape part-1 (Theorem prover as a system) Accomplishments Theorem Proving Systems — Tradeoffs & Architectures Landscape part-2 (Distribution of efforts across provers) Conclusion Introduction A quick recap. In “The story of machine proofs — Part-1”, we covered how humans approached formal mathematical proofs, then introduced early attempts at machine proofs and ended withContinue reading “The story of machine proofsPart II”

Here , we have implemented a knowledge graph from a WikiPedia actors dataset. The article [1] by analyticsvidya has been heavily referred for this. But we have made improvements in the form of : Data Preprocessing — Removed punctuations , stop words Named Entity Recognition — This has helped in constructing a more meaningful graph with less noise. Using Named Entity Recognition has helpedContinue reading “Building a small knowledge graph using NER”

So, what do you do for a living? Sometimes, the answer to that question can feel like, “everything!” Well, for the Data Scientist, an extreme sense of being a “jack of all trades” is common. In fact, four such trades can be defined that a top-quality Data Scientist will iterate through during any one project.Continue reading “The Four Jobs of the Data Scientist”

These are the lessons and best practices I learned in many years of experience in data blending, and the software that became my most important tool in my day-to-day work. Originally from KDnuggets https://ift.tt/3bv3gQq source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-best-tool-for-data-blending-is-knime

Best Python IDEs and Code Editors You Should Know; 10 Underappreciated Python Packages for Machine Learning Practitioners; Top 10 Computer Vision Papers 2020; CatalyzeX: A must-have browser extension for machine learning engineers and researchers Originally from KDnuggets https://ift.tt/35SDMZN source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-21n02-jan-13-best-python-ides-and-code-editors-10-underappreciated-python-packages-for-machine-learning-practitioners

Hera are some thought starters to help you create meaningful plots. Originally from KDnuggets https://ift.tt/39nnDwh source https://365datascience.weebly.com/the-best-data-science-blog-2020/creating-good-meaningful-plots-some-principles

Cooking noodles like ramen used to be a long and arduous task. Now we have instant noodles. Just add hot water into a bowl and add your… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/gpt-3-and-code-generation-ai-enabled-instant-software-development-270795077cbd?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/gpt-3-and-code-generationai-enabled-instant-software-development

You’ve built your chatbot, you’ve carefully and tirelessly trained and tested it, and you’re finally ready to launch it to go live — hoorah! But after monitoring its performance over a period of time after go-live, you notice that some user questions return incorrect intents (so give the wrong answers), despite the fact there’s training data inContinue reading “How to stop your chatbot giving the wrong answers”

The most popular programming languages list available here will help your business in making the right choice for the next project Here, the most popular programming languages 2021 listing is present; this list will help you choose the best language for web and mobile app development. Several programming languages are there; still, new ones are constantlyContinue reading “Top 20 Most Popular Programming Languages For 2021 and Beyond”

Sparse features can cause problems like overfitting and suboptimal results in learning models, and understanding why this happens is crucial when developing models. Multiple methods, including dimensionality reduction, are available to overcome issues due to sparse features. Originally from KDnuggets https://ift.tt/3bydpfi source https://365datascience.weebly.com/the-best-data-science-blog-2020/working-with-sparse-features-in-machine-learning-models