Author Archives: 365Data Science

Natural Language Processing (NLP) is one of the oldest branches of artificial intelligence (with works starting from as early as the 1950s), which is still undergoing continuous development and commands a great deal of importance in the field of data science. So if you want to add a new feather to your cap by learning appliedContinue reading “Applied Natural Language Processing (NLP) in Python | Exploring NLP Libraries”

Source Gradient descent is an optimization algorithm used to minimize some function by iteratively moving in the direction of steepest descent as defined by the negative of the gradient. Consider the 3-dimensional graph above. Our goal is to move from the top right corner of the mountain, which can be described as a high cost,Continue reading “Gradient Descent Explained”

Photo by Aron Visuals on Unsplash Welcome to My Week in AI! Each week this blog will have the following parts: What I have done this week in AI An overview of an exciting and emerging piece of AI research Progress Update Absorbing Best Practices This week I attended the Spark + AI summit, hosted by Databricks. ThisContinue reading “My Week in AI: Part 6”

Concluding this three-part series covering a step-by-step review of statistical survival analysis, we look at a detailed example implementing the Kaplan-Meier fitter based on different groups, a Log-Rank test, and Cox Regression, all with examples and shared code. Originally from KDnuggets https://ift.tt/339LZYX source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-complete-guide-to-survival-analysis-in-python-part-3

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. Save 50% with code kdmath50. Originally from KDnuggets https://ift.tt/3g9lFBI source https://365datascience.weebly.com/the-best-data-science-blog-2020/math-for-programmers9842367

Data analytics is the process by which data is deconstructed and examined for useful patterns and trends. Here we explore five trends making data analytics even more useful. Originally from KDnuggets https://ift.tt/2BMjEwu source https://365datascience.weebly.com/the-best-data-science-blog-2020/5-big-trends-in-data-analytics

Also Why You Should Get Google New #MachineLearning Certificate; Remote #DataScience Internships For Everyone. Originally from KDnuggets https://ift.tt/39GkDdT source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-kdnuggets-tweets-jul-22-28-increase-your-expertise-in-machine-learning-with-a-foundational-understanding-of-bayesian-statistics

An end-to-end machine learning platform needs a holistic approach. If you’re interested in learning more about a few well-known ML platforms, you’ve come to the right place! Originally from KDnuggets https://ift.tt/3f7fAEJ source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-tour-of-end-to-end-machine-learning-platforms

Source Welcome to part 3 of my AI for CFD blog post series. Previously I explained how the team at byteLAKE took their first steps into the world of CFD somewhat 10 years ago. I summarized how we tried different approaches as we progressed and delivered projects focused on both GPU and FPGA adaptation work.Continue reading “AI for CFD: byteLAKEs approach (part3)”

Photo by Stephen Dawson on Unsplash Welcome to My Week in AI! Each week this blog will have the following parts: What I have done this week in AI An overview of an exciting and emerging piece of AI research Progress Update Visualizing Data Interactively I’ve spent this week working on a dashboarding project using Plotly and Dash.Continue reading “My Week in AI: Part 5”