Automatic Differentiation with Python and C++ for Deep Learning
Author(s): Luiz doleron Originally published on Towards AI. This story explores automatic differentiation, a feature of modern Deep Learning frameworks that automatically calculates the parameter gradients during the training loop. The story introduces this technology in conjunction with practical examples using Python …
Router Langchain: How To Create Coding Assistance Using Langchain
Author(s): Tarik Kaoutar (ι«ιη) Originally published on Towards AI. What is Langchain This member-only story is on us. Upgrade to access all of Medium. Want to enhance your coding skills, with the power of AI, you can now create your own coding …
This AI newsletter is all you need #62
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we have been watching development in coding models at META as well as new fine-tuning capabilities at OpenAI. Meta has introduced Code …
Reinforcement Learning: Markov Decision Process β Part 1
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Introducing the backbone of Reinforcement Learning β The Markov Decision Process This member-only story is on us. Upgrade to access all of Medium. Image by Ricardo Gomez Angel on Unsplash In most of …
ChatGPT Code Interpreter in Machine Learning- Is It Effective?
Author(s): Gencay I. Originally published on Towards AI. The Power of Machine Learning with ChatGPT Code Interpreter: A Data Science Revolution This member-only story is on us. Upgrade to access all of Medium. Created with Leonardo.ai Are you interested in Machine Learning? …
Advanced Tutorial: How to Master Matplotlib Like an Absolute Boss
Author(s): Bex T. Originally published on Towards AI. Use Matplotlib like never before This member-only story is on us. Upgrade to access all of Medium. Image by me with Midjourney When I was a beginner learning data visualization, I used to have …
How To Read a Machine Learning Paper in 2023 for Beginners
Author(s): Boris Meinardus Originally published on Towards AI. Actionable tips to help with keeping sane during the AI research boom. Image by author I have read dozens of machine learning papers and am starting to get the hang of how to approach …
Python Code Unit Test for Quality and Reliability
Author(s): Amit Chauhan Originally published on Towards AI. Early-stage testing before production level This member-only story is on us. Upgrade to access all of Medium. Photo by Ferenc Almasi on Unsplash Introduction Writing unit tests for Python code. It comes under software …
Inside Code Llama: Meta AIβs Entrance in the Code LLM Space
Author(s): Jesus Rodriguez Originally published on Towards AI. The new family of models builds on the Llama 2 foundation to match state-of-the-art performance across different code generation tasks. Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over …
Machine Learning at Scale: Model v/s Data Parallelism
Author(s): Shubham Saboo Originally published on Towards AI. Decoding the secrets of large-scale Machine Learning Generated by Midjourney Introduction As models grow increasingly complex and datasets become gigantic, the need for efficient ways to distribute computational workloads is more important than ever. …
Log-normal Distribution Simply Explained
Author(s): Egor Howell Originally published on Towards AI. A slight modification of the famous normal distribution This member-only story is on us. Upgrade to access all of Medium. Photo by James Yarema on Unsplash The normal distribution is a household name, particularly …
🦜🔗Build Robust ML Backends with Pydantic and Langchain
Author(s): Marcello Politi Originally published on Towards AI. Learn how to prevent users and LLMs mistakes in your code Photo by Bradley Ziffer on Unsplash This member-only story is on us. Upgrade to access all of Medium. It is well known that …
Steepest Descent and Newtonβs Method in Python, from Scratch: A Comparison
Author(s): Nicolo Cosimo Albanese Originally published on Towards AI. Implementing the Steepest Descent Algorithm in Python from Scratch This member-only story is on us. Upgrade to access all of Medium. Image by author.IntroductionProblem statement and steepest descentNewtonβs methodImplementationConclusions and Final Comparison In …
Bank Complaints Fictional Data
Author(s): Adam Ross Nelson Originally published on Towards AI. Introducing a new set of fictional data for training, testing, demonstration, and educational purposes This member-only story is on us. Upgrade to access all of Medium. This article introduces a new fictional set …
From Raw to Refined: A Journey Through Data Preprocessing β Part 3: Duplicate Data
Author(s): Shivamshinde Originally published on Towards AI. This article will explain how to identify duplicate records in the data and, the different ways to deal with the problem of having duplicate records. Photo by Pineapple Supply Co. on Unsplash Why the presence …
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