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Operating as usual
Do You Know VGG 16? via → https://towardsai.net/p/l/do-you-know-vgg-16
Author(s): Chinmay Bhalerao Originally published on Towards AI. VGG 16 from scratch with python implementationImage created by Dalle.2“By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.”— Eliezer YudkowskyThere is always an archite...
Descriptive Statistics for Data-driven Decision Making with Python → https://news.towardsai.net/descriptive-statistics
“Data is like garbage! You’d better know what you’re going to do with it before you collect it.” ~ Mark TwainThis is not a typical reference book for descriptive statistics. Instead, we take an in-depth look at what methods you would be foolish not to use in data science or machine learning....
What if Charles Darwin Built a Neural Network? via → https://towardsai.net/p/l/what-if-charles-darwin-built-a-neural-network
Last Updated on January 16, 2023 by Editorial Team Author(s): Alexander Kovalenko Originally published on Towards AI. An alternative way to “train” a neural network with evolution Photo by Misael Moreno on Unsplash At the moment, backpropagation is nearly the only way for neural network training
A Beginner’s Guide to Markov Chains, Conditional Probability, and Independence via → https://towardsai.net/p/l/a-beginners-guide-to-markov-chains-conditional-probability-and-independence
Last Updated on January 16, 2023 by Editorial Team Author(s): Hezekiah J. Branch Originally published on Towards AI. Hey, everyone! I’m back with another fantastic article 😄 If you’ve followed me on LinkedIn or another platform, you may know that I’m in a graduate engineering program. Along...
Are you new to , and would like to learn the differences between and AI? Check them out at https://news.towardsai.net/aiml via
Machine learning and artificial intelligence are continually being interchanged as equal terms; in this article, we reflect upon the true differences between AI and machine learning.
What is the connection between a World Model, Schrödinger’s Cat, and Neural Network? via → https://towardsai.net/p/l/what-is-the-connection-between-a-world-model-schrodingers-cat-and-neural-network
Last Updated on January 15, 2023 by Editorial Team Author(s): Alexander Kovalenko Originally published on Towards AI. What Is the Connection Between a World Model, Schrödinger’s Cat, and Neural Networks? Using Physics-Informed Neural Network (PINN) to solve famous Schrödinger Equation source For
How ChatGPT Helps You To Automate Machine Learning? via → https://towardsai.net/p/l/how-chatgpt-helps-you-to-automate-machine-learning
Author(s): Gencay I. Originally published on Towards AI. Regression, Classification, Clustering, or Natural Language Processing. ChatGPT helps you to automate these algorithms with Python.Continue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subsc
How To Build A Data Science Portfolio That Will Land You A Job? via → https://towardsai.net/p/l/how-to-build-a-data-science-portfolio-that-will-land-you-a-job
Author(s): Youssef Hosni Originally published on Towards AI. ِA Step by Step Practical Guide to Building A Data Science Portfolio ProjectsContinue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest d
Neural Networks from Scratch with Python Code and Math in Detail— I → https://news.towardsai.net/ivn via
Building neural networks from scratch. From the math behind them to step-by-step implementation case studies with Python, with Google Colab
MLOps Notes 3.2: Error Analysis for Machine learning models via → https://towardsai.net/p/l/mlops-notes-3-2-error-analysis-for-machine-learning-models
Author(s): Akhil Theerthala Originally published on Towards AI. Hello everyone!This is Akhil Theerthala. Another article in the MLOps series has arrived, and I hope you enjoy it. We’ve examined the phases of a Machine Learning project, got a high-level view of deployment best practices, and are
How To Use GitLens To Figure Out Who Introduced A Change In Your Code via → https://towardsai.net/p/l/how-to-use-gitlens-to-figure-out-who-introduced-a-change-in-your-code
Author(s): ___ Originally published on Towards AI. When the change was many commits agoContinue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. I
Feature selection for unsupervised problems: the case of clustering via → https://towardsai.net/p/l/feature-selection-for-unsupervised-problems-the-case-of-clustering
Author(s): Kevin Berlemont, PhD Originally published on Towards AI. Feature Selection for Unsupervised Problems: The Case of ClusteringPhoto by NASA on UnsplashWith the massive growth of data over the last decade, selecting the right feature is becoming a major challenge. A well-known technique
Demystifying ChatGPT! via → https://towardsai.net/p/l/demystifying-chatgpt
Author(s): Michele De Filippo, PhD Originally published on Towards AI. The Revolution of Conversational AI has just started!Continue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI.
Decision Trees in Machine Learning (ML) with Python Tutorial → https://news.towardsai.net/t98
Diving into decision trees in machine learning (ML) with Python
Deploying ML Models with FastAPI and Azure via → https://towardsai.net/p/l/deploying-ml-models-with-fastapi-and-azure
Author(s): Barrett Studdard Originally published on Towards AI. Learn how to deploy an API wrapper around a Machine Learning modelContinue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in
A One-liner That Validates Input Types to Your Functions At Runtime via → https://towardsai.net/p/l/a-one-liner-that-validates-input-types-to-your-functions-at-runtime
Last Updated on January 13, 2023 by Editorial Team Author(s): Shangjie Lyu Originally published on Towards AI. with source code explanation and simplified implementation Photography by Author Note: this article is part of my series “Simple Techniques and Tools for Data Science”, which is a colle
Can AI Models be Common Sense Enabled? via → https://towardsai.net/p/l/can-ai-models-be-common-sense-enabled
Author(s): Poornachandra Sarang Originally published on Towards AI. Building machines with human-level intelligenceContinue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From resea
Recommendation System Tutorial with Python using Collaborative Filtering → https://news.towardsai.net/2uk
Building a machine learning recommendation system tutorial using Python and collaborative filtering for a Netflix use case.
Core Code to Build ChatGPT-like Bots in < 20 Lines of JavaScript! via → https://towardsai.net/p/l/core-code-to-build-chatgpt-like-bots-in-20-lines-of-javascript
Author(s): LucianoSphere Originally published on Towards AI. No more PHP like in my previous examples, by using the modern fetch() function. It’s now easier than ever to integrate your own smart bots…Continue reading on Towards AI » Join thousands of data leaders on the AI newslett
How To Create a Python Package for Fetching Weather Data via → https://towardsai.net/p/l/how-to-create-a-python-package-for-fetching-weather-data
Author(s): Stavros Theocharis Originally published on Towards AI. An easy implementation of a python package for fetching weather data from any locationImage generated by DALL-EMarkets across the board rely on weather reports for a wide variety of purposes. Investment forecasts, load demand plan
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Machine Learning for Documents via → https://towardsai.net/p/l/machine-learning-for-documents
Author(s): Sean Benhur Originally published on Towards AI. Photo by Romain Dancre on UnsplashDocuments carry the essential source of vital information. Much of the structured and unstructured information of the enterprises is available as Documents. These are available in the form of native PDF
Breaking CAPTCHA Using Machine Learning in 0.05 Seconds → https://news.towardsai.net/fhs via
Machine learning model breaks CAPTCHA systems on 33 highly visited websites, concept is based on GANs.
6 Strategies ALL Developers Should Do When Implementing AI via → https://towardsai.net/p/l/6-strategies-all-developers-should-do-when-implementing-ai
Author(s): Andrew Austin Originally published on Towards AI. Avoiding common pitfalls in AI project developmentContinue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research
3 Reasons You Should Avoid Pie Plots At All Costs via → https://towardsai.net/p/l/3-reasons-you-should-avoid-pie-plots-at-all-costs
Author(s): Filipe Filardi Originally published on Towards AI. 3 Reasons You Should Avoid Pie Plots At All CostsThe case against pie plots and a look at the alternativesPrompt used: Pie Plot | Created by Author using Stable DiffusionPie Plots are a popular choice for data visualization because th
Cleanlab: Correct your data labels automatically and quickly via → https://towardsai.net/p/l/cleanlab-correct-your-data-labels-automatically-and-quickly
Author(s): Travis Tang Originally published on Towards AI. Data-centric AI without manually relabeling your dataI used an open-sourced library, cleanlab, to remove low-quality labels on an image dataset. The model trained on the dataset without low-quality data gained 4 percentage points of accu
Ultimate MLOps Learning Roadmap with Free Learning Resources In 2023 via → https://towardsai.net/p/l/ultimate-mlops-learning-roadmap-with-free-learning-resources-in-2023
Author(s): Youssef Hosni Originally published on Towards AI. In today’s hype of Machine learning where many organizations have integrated or are trying to integrate ML systems into their products and…Continue reading on Towards AI » Join thousands of data leaders on the AI newslett
Editorial: Survival Analysis Tutorial with Python → https://news.towardsai.net/1y5 via
Diving into survival analysis with Python — a statistical branch used to predict and calculate the expected duration of time for one or…
Paper Review: InstructOR One Embedder, Any Task via → https://towardsai.net/p/l/paper-review-instructor-one-embedder-any-task
Author(s): Building Blocks Originally published on Towards AI. Towards Task-Specific EmbeddingsImage by authors of the paper: https://arxiv.org/pdf/2212.09741.pdfIntroductionIf you’ve ever worked on building a deep learning model for any sort of text-related task such as classification in the pa
This AI newsletter is all you need #29 via → https://towardsai.net/p/l/this-ai-newsletter-is-all-you-need-29
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by LouisOur Learn AI Together Discord community has grown to 35,000 members and we are excited to see the engagement in our new AI Technical Questions forum format where members of our communit
10 Underrated Software Patterns Every ML Engineer Should Know via → https://towardsai.net/p/l/10-underrated-software-patterns-every-ml-engineer-should-know
Author(s): Paul Iusztin Originally published on Towards AI. How to apply software engineering good practices when developing machine learning systemsContinue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the lat
Fully Understand Convolutional Neural Networks Components via → https://towardsai.net/p/l/fully-understand-convolutional-neural-networks-components
Author(s): Amit Chauhan Originally published on Towards AI. Terms and technology in the artificial intelligence worldContinue reading on Towards AI » Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From res
Exposing the Racial Divide in Data Science: The Reality of Discrimination and How to Overcome It via → https://towardsai.net/p/l/exposing-the-racial-divide-in-data-science-the-reality-of-discrimination-and-how-to-overcome-it
Author(s): Andrew Austin Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you
Genetic Algorithm Tutorial → https://news.towardsai.net/r7j
An introduction to genetic algorithms, optimization, and implementations with code examples in Python
Sending Emails with Python smtplib and GMail (2022 Update) via → https://towardsai.net/p/l/sending-emails-with-python-smtplib-and-gmail-2022-update
Author(s): Yousef Nami Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you u
Descriptive Statistics for Data-driven Decision Making with Python → https://news.towardsai.net/descriptive-statistics
“Data is like garbage! You’d better know what you’re going to do with it before you collect it.” ~ Mark TwainThis is not a typical reference book for descriptive statistics. Instead, we take an in-depth look at what methods you would be foolish not to use in data science or machine learning....
10 Best Masters Programs in (ML) for 2021 → https://news.towardsai.net/dqu via
These are the best universities to pursue a master’s degree in machine learning, with research rankings in AI and machine learning…
Effective Categorical Variable Encoding for Machine Learning via → https://towardsai.net/p/l/effective-categorical-variable-encoding-for-machine-learning
Author(s): Filipe Filardi Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help yo
Check out the best for and ↓ https://news.towardsai.net/datasets via
Best open-access datasets for machine learning, data science, sentiment analysis, computer vision, natural language processing (NLP)…
MLOps Notes 3.1: An Overview of Modeling for machine learning projects via → https://towardsai.net/p/l/mlops-notes-3-1-an-overview-of-modeling-for-machine-learning-projects
Author(s): Akhil Theerthala Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help
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Towards AI Co. is the world’s leading multidisciplinary science publication. Towards AI publishes the best of tech, science, and engineering. Read by thought-leaders and decision-makers around the world. We currently have over 1000 contributing writers from Ph.D. and MS students to industry experts and enthusiasts. We receive over 11000 visits per day, have over 130,000 followers across social media, and over 13,000 subscribers. We also have a lab branch that we are currently working on for research and development launching in Q1 2021. | Information for authors → https://towardsai.net/contribute | All of our articles are from their respective authors and may not reflect the views of Towards AI Co., its editors, or its other writers. | Terms → https://towardsai.net/terms/ | Privacy → https://towardsai.net/privacy/
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