The Only Domain AI Can’t Crack
Author(s): Michelangiolo Mazzeschi Recipes can’t be made by an AI: the data is all wrong! Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Jupyter: Awesome Tips, Tricks, and Shortcuts
Author(s): Naina Chaturvedi Become a Jupyter pro Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
34 Words About Language, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Artificial Intelligence Think you can explain these? Put your knowledge to the test! [This is the 7th part of a series. Make sure you read about Search, Knowledge, Uncertainty, Optimization, Machine Learning, Neural Networks, and Language.] To truly change how …
AI and the Future of Journalism
Author(s): Przemek Chojecki How artificial intelligence is impacting newsrooms, journalists and media. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Ensure the AI You Are Designing is Fit for its Purpose (Part 1)
Author(s): Masheika (Allen) Allgood One of the core tenets of responsible AI is to ensure that the model is fit for its purpose and that limitations are communicated to… Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Understanding Bias in the Simplest Plausible Way
Author(s): Anirudh Dayma I have recently started exploring Neural networks, and I came across the term activation function and biases. Activation function kinda made some sense to me, but I found it difficult to get the exact essence of biases in Neural …
The Fibonacci Sequence: An Algorithm for Perfection
Author(s): Michelangiolo Mazzeschi Fibonacci Series Explained Easily Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
26 Words About Neural Networks, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Artificial Intelligence Think you can explain these? Put your knowledge to the test! Source: NeedPix [This is the 6th part of a series. Make sure you read about Search, Knowledge, Uncertainty, Optimization, and Machine Learning before continuing. The next topic …
Towards an AI for Rock, Paper, Scissors
Author(s): Benjamin Peterson Rock, Paper, Scissors — a promising area for AI research, but not yet an Olympic sport. Rock Paper Scissors (RPS) is a decidedly non-trivial game with a fascinating strategy. Here I present a simple RPS AI with code and some high-level …
26 Words About Machine Learning, Every AI-Savvy Leader Must Know
Author(s): Yannique Hecht Artificial Intelligence Do you think you can explain these? Put your knowledge to the test! [This is the 5th part of a series. Make sure you read about Search, Knowledge, Uncertainty, and Optimization before continuing. The next topics are Neural …
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