Gradient Descent Algorithm Explained
Author(s): Pratik Shukla Originally published on Towards AI. Machine Learning With Step-By-Step Mathematical Derivation Source: Unsplash Index: Basics Of Gradient Descent. Basic Rules Of Derivation. Gradient Descent With One Variable. Gradient Descent With Two Variables. Gradient Descent For Mean Squared Error Function. …
Biased Machines and Where to Find Them
Author(s): Davor Petreski Originally published on Towards AI. Fairness, Ethics Algorithmic Oppression: Biased Machines and Where to Find Them Recent events of racial discrimination in law enforcement and the healthcare industry have shown us how biased and racist humans are. The systemic …
Intro to Neural Networks Part II — Brilliant.org
Author(s): Alison Sin Originally published on Towards AI. What is Training a Neural Network? These are the notes I’ve taken while going through this course at Brilliant.org. 🙂 since a premium membership might not be universally accessible and they did an outstanding …
3 Ways to Collect Big Data with your PC
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. How and where to find data on the internet? This article is intended to be technical. I hope you can apply the content of this article to improve your work and your skills. Photo …
Loading Different Data Files in Python
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. What is the structure of HDF5 files? Source: Pixabay Don’t we all just love pd.read_csv()… It’s probably the most endearing line from our dear, pandas library. No doubts, when it comes to tabular …
AI Ethics: Identifying Your Ethnicity and Gender
Author(s): Allen Jiang Originally published on Towards AI. Exploring Natural Language Processing (NLP) and Machine Learning Why is this an important question? Ultimately this is a stepping stone to answering the ethical question: should we teach Artificial Intelligence to detect your ethnicity? …
GPT-3 from OpenAI is here and it’s a Monster
Author(s): Przemek Chojecki Originally published on Towards AI. Machine Learning The newest GPT-3 from OpenAI has 175 billion parameters and it is 10 times larger than the previous largest model, Turing-NLG from Microsoft. The behavior that emerges from this large model is …
Machine Learning Algorithms For Beginners with Code Examples in Python
Author(s): Towards AI Editorial Team Originally published on Towards AI. Best machine learning algorithms for beginners with coding samples in Python. Launch the coding samples with Google Colab Top highlight Machine Learning Algorithms Tree U+007C Source: Image authored by Sherwin Chen, please …
How to Build and Train Your First Neural Network
Author(s): Davuluri Hemanth Chowdary Originally published on Towards AI. Machine Learning Source: PythonProgramming Before we dive into the process of building the neural network, there are few prerequisites which you need to know. Tensor Tensor Operations Differentiation Gradient Descent Make sure you …
1. Benchmark forecasting
Author(s): Mahbubul Alam Originally published on Towards AI. Data Science Photo by Greg Rakozy on Unsplash Time-series forecasting is one of the most talked-about topics in data science. Not surprisingly, there is a rich forecasting toolbox with many different options to choose …
Evaluation Metrics for Regression Problems
Author(s): Edward Ma Originally published on Towards AI. Data Science Photo by Edward Ma on Unsplash If you do not know how to justify whether model is good or not, it is similar to you want to get something but you do …
How To Develop A Game Using Computer Vision
Author(s): Ritheesh Baradwaj Yellenki Originally published on Towards AI. Computer Vision Playing A Racing Game using Hand Tracking, Artificial Intelligence Picture made using Canva If you are an excited geek and love Computer Vision, AI here is an interesting application for you. …