Also: 13 must-read papers from AI experts; 10 Pandas Tricks to Make My Data Analyzing Process More Efficient: Part 2 – Tricks I wish I had known earlier; An Introduction To Mathematics Behind #NeuralNetworks; How to Write Web Apps Using Simple #Python for #DataScientists Originally from KDnuggets https://ift.tt/2INHZoB source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-kdnuggets-tweets-oct-14-20-an-introduction-to-mathematics-behind-neuralnetworks
Author Archives: 365Data Science
365 Data Use Cases: Data Science and Recommender Systems with Andrew from DataLeap
How’s it going, 365 family? My name is Andrew from DataLeap and I’m happy to team up with 365 Data Science in their series 365 Data Use Cases. So, what’s my favorite data use case? Recommender systems! Recommender Systems Use Cases: Google, YouTube, Facebook, Instagram, and Amazon When you think of FAANG companies, what popsContinue reading “365 Data Use Cases: Data Science and Recommender Systems with Andrew from DataLeap”
10 Underrated Python Skills
Tips for feature analysis, hyperparameter tuning, data visualization and more. Originally from KDnuggets https://ift.tt/2Tdccj9 source https://365datascience.weebly.com/the-best-data-science-blog-2020/10-underrated-python-skills
A Non Mathematical guide to the mathematics behind Machine Learning
A primer on the models used in Machine Learning for those of us who are not statisticians. Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/a-non-mathematical-guide-to-the-mathematics-behind-machine-learning-4b71d9e16dcd?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-non-mathematical-guide-to-the-mathematics-behind-machine-learning
Recurrent All-Pairs Field Transforms for Optical Flow
Figure 1: Flow predictions About me I’m a recently graduated engineer with a degree in artificial intelligence. As a computer scientist, I am motivated largely by my curiosity of the world around us and seeking solutions to its problems.I am also counting on you to send me comments that will help me improve the qualityContinue reading “Recurrent All-Pairs Field Transforms for Optical Flow”
The Two Sides of AI in the Modern Digital Age
With a simple Google search for the words’ artificial intelligence’ producing a staggering 734,000,000 results- the notion of AI has slowly made its way into the mainstream. It is now considered to be a staple in the cybersecurity diets of many. Despite the countless articles written on AI applications within several businesses and industries, mostContinue reading “The Two Sides of AI in the Modern Digital Age”
How Well Can Machine Learning Predict Sexual Orientation Pregnancy and Other Sensitive Information?
If machine learning models predict personal information about you, even if it is unintentional, then what sort of ethical dilemma exists in that model? Where does the line need to be drawn? There have already been many such cases, some of which have become overblown folk lore while others are potentially serious overreaches of governments.Continue reading “How Well Can Machine Learning Predict Sexual Orientation Pregnancy and Other Sensitive Information?”
The Ethics of AI
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about a very important subject – the ethics of AI. Originally from KDnuggets https://ift.tt/3m8ec8K source https://365datascience.weebly.com/the-best-data-science-blog-2020/the-ethics-of-ai
KDnuggets News 20:n40 Oct 21: fastcore: An Underrated Python Library; Goodharts Law for Data Science: what happens when a measure becomes a target?
fastcore: An Underrated Python Library; Goodhart’s Law for Data Science and what happens when a measure becomes a target?; Text Mining with R: The Free eBook; Free From MIT: Intro to Computational Thinking and Data Science; How to ace the data science coding challenge Originally from KDnuggets https://ift.tt/3maGi2S source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-20n40-oct-21-fastcore-an-underrated-python-library-goodharts-law-for-data-science-what-happens-when-a-measure-becomes-a-target
Capitalize on Your Analytics Skills With the Johns Hopkins SAIS MA in Global Risk (Online)
The Johns Hopkins SAIS MA in Global Risk (online) program prepares graduates to gain experience analyzing and addressing real-world scenarios, and the knowledge to fine-tune your analyses with insights from economics, history and political science. Enroll now and join a highly active, international community of more than 230,000 Johns Hopkins alumni. Originally from KDnuggets https://ift.tt/2ISlkI5Continue reading “Capitalize on Your Analytics Skills With the Johns Hopkins SAIS MA in Global Risk (Online)”
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