How Machines Learn: The Power of Gradient Descent
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Understanding the Principles, Challenges, and Applications of Gradient Descent Image by Author with @MidJourney Introduction to Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning and data science to …
How to Train Neural Networks With Fewer Data Using Active Learning
Author(s): Leon Eversberg Originally published on Towards AI. A state-of-the-art guide to the theory and practice of deep active learning Oracle of Delphi. Photo by Walkerssk from Pixabay One of the biggest problems in supervised deep learning is the scarcity of labeled …
This AI newsletter is all you need #44
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI has seen some exciting developments in the world of open-source language models together with further discussion on the legal standing …
Ph.D., Twitter, Breaking into the AI Field, and more with Brian Burns (AI Pub)
Author(s): Louis Bouchard Originally published on Towards AI. Originally published on louisbouchard.ai, read it 2 days before on my blog! Are you considering pursuing a Ph.D. in machine learning? Before you take the plunge, take a moment to listen to this insightful …
The Importance of Having a Portfolio As a Data Scientist
Author(s): Youssef Hosni Originally published on Towards AI. Unleashing the Power of Data Science Portfolios: Elevate Your Career and Stand Out in the Job Market In today’s competitive job market, simply having a degree in data science may not be enough to …
Build Your Machine Learning Portfolio Using Hugging Face Spaces
Author(s): Serop Baghdadlian Originally published on Towards AI. In This Tutorial, I Will Show You How to Impress Potential Employers and Showcase Your ML Skills With Interactive Apps For FREE. Image from Huggingface Website In the highly competitive field of machine learning, …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
On Common Split for Training, Validation, and Test Sets in Machine Learning
Author(s): Barak Or, PhD Originally published on Towards AI. In this post, we deal with determining the appropriate ratio for training, validation, and test sets in small and large databases Background Splitting a dataset into training, validation, and test sets is a …
Here Are The Most Useful Built-in Python Functions For Data Science
Author(s): James Asher Originally published on Towards AI. All Functions are equal, but for data science, some are more equal than others Photo by David Clode on Unsplash With each version of Python, they introduce more built-in functions. A few you will …
How to Create a Simple and Practical API with Python and Flask
Author(s): James Asher Originally published on Towards AI. Photo by Alireza Shojaei on Unsplash Flask is my favourite Python web framework by far. It’s often described as a micro-framework for its bare-bones style — a style I really appreciate. It’s scalable and …
Introduction to GANs with TensorFlow
Author(s): Rokas Liuberskis Originally published on Towards AI. In this tutorial, we’ll cover the basics of GANs (Generative Adversarial Networks) step-by-step in TensorFlow. As an example, we’ll use a basic MNIST dataset Hello everyone! I’ll introduce you to Generative Adversarial Networks in …
This AI newsletter is all you need #43
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, the competition in the race for Generative AI and LLMs continued to intensify. Amazon announced its foray into the space by hosting …
ChatGPT Guide for Machine Learning Top 100 Most Important Prompts
Author(s): Gencay I. Originally published on Towards AI. Mastering Machine Learning with ChatGPT: The Top 100 Most Important Prompts for Deep Learning, AI, Machine Learning, and Computer Vision This member-only story is on us. Upgrade to access all of Medium. Image by …
Are Your Human Labels of Good Quality?
Author(s): Deepanjan Kundu Originally published on Towards AI. Measuring and improving the quality of human labels for ML tasks. What are labels? In machine learning, a label is a categorical or numerical value assigned to a data point that serves as the …
Meet DeepSpeed-Chat: Microsoft’s New Framework to Create ChatGPT-Like Models Using RLHF Training
Author(s): Jesus Rodriguez Originally published on Towards AI. Image Credit: Microsoft Research I recently started an AI-focused educational newsletter, that already has over 150,000 subscribers. TheSequence is a no-BS (meaning no hype, no news etc) ML-oriented newsletter that takes 5 minutes to …
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