Why do people use Python?

Given that there are roughly 1 million Python users out there at the moment, there really is no way to answer this question with complete… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/why-do-people-use-python-a4e0fcd2575d?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/why-do-people-use-python

Estimate Probabilities Of Card Games

We are going to show how we can estimate card probabilities by applying Monte Carlo Simulation and how we can solve them numerically in Python. The first thing that we need to do is to create a deck of 52 cards. How to Generate a Deck of Cards import itertools, random # make a deck of cardsdeckContinue reading “Estimate Probabilities Of Card Games”

How to Evaluate the Performance of Your Machine Learning Model

You can train your supervised machine learning models all day long, but unless you evaluate its performance, you can never know if your model is useful. This detailed discussion reviews the various performance metrics you must consider, and offers intuitive explanations for what they mean and how they work. Originally from KDnuggets https://ift.tt/31TVbPP source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-evaluate-the-performance-of-your-machine-learning-model

Top KDnuggets tweets Aug 26 Sep 01: A realistic look at the time spent in a life of a #DataScientist

Also: Full Stack #DeepLearning course; Guide to Intelligent #DataScience book – updated/expanded content throughout, now an even better basis for the “educational” part of “becoming a successful data scientist”; Completely Free #MachineLearning Reading List by @vickdata; A Complete #DataScience Portfolio Project Originally from KDnuggets https://ift.tt/31Q0rE8 source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-kdnuggets-tweets-aug-26-sep-01-a-realistic-look-at-the-time-spent-in-a-life-of-a-datascientist

Computer Vision Recipes: Best Practices and Examples

This is an overview of a great computer vision resource from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios. Originally from KDnuggets https://ift.tt/2GqOw7P source https://365datascience.weebly.com/the-best-data-science-blog-2020/computer-vision-recipes-best-practices-and-examples

News Topic Classification using LSTM

b News Topic Classification using LSTM How LSTM (Long Short-Term Memory) cells learn to categorize texts. Photo by Utsav Srestha on Unsplash Hi everyone, Ardi here. Welcome back to my page! In my last post I was explaining about a simple Exploratory Data Analysis (EDA) and survival prediction on Titanic dataset. Check it out now if youContinue reading “News Topic Classification using LSTM”

A Systematic Assessment of National Artificial Intelligence Policies: Perspectives from the

A Systematic Assessment of National Artificial Intelligence Policies: Perspectives from the Nordics and Beyond By analysing 25 national AI policy documents, we identified differences in national prioritisation of AI related topics. For example, Sweden’s strategy has a strong focus on research, Japan on collaboration, and Serbia and France on ethical frameworks. Geographical clusters, such as theContinue reading “A Systematic Assessment of National Artificial Intelligence Policies: Perspectives from the”

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