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Machine Learning for Time Series Data in Python [Regression]
Author(s): Youssef Hosni Originally published on Towards AI. A practical guide for time series forecasting using machine learning models in Python Time series data is one of the most common data types in the industry and you will probably be working with …
Master Data Wrangling First: Top 20 Python Libraries + Best Practices
Author(s): Anil Tilbe Originally published on Towards AI. Processes, approaches, Top 20 libraries, along with important best practices — how to do it all with Python By Pixabay from Pexels Data Wrangling is transforming data from one format to another. Python is …
The Quality of Projects in your Portfolio Matters a Lot when Applying for Data Scientist or Machine Learning Engineer Positions
Author(s): Suhas Maddali Originally published on Towards AI. The real-world impact that a project makes with the use of machine learning and data science can be a game changer when it comes to interviewing for data science and machine learning related positions. …
Regression Analysis Is Exceedingly Difficult: How to Master It Without Coding
Author(s): Anil Tilbe Originally published on Towards AI. Achieve a strong foundational understanding of the key concepts, 3 battle-tested models, and 3 challenges with regression analysis By Jukan Tateisi from Unsplash Regression analysis is a technique that can be used to [10] …
Unstructured vs. Structured Data: The 5 Most Important Differences
Author(s): Anil Tilbe Originally published on Towards AI. A breakdown of structured data, and unstructured data, the advantages of each, and how to deploy them together simultaneously for your use cases By Dietmar Becker from Unsplash A basic definition of structured data: …
The Future of AI Is Quantum Computing: 10 of the Most Important Use Cases
Author(s): Anil Tilbe Originally published on Towards AI. A comprehensive but abridged explanation of the intersection of AI and quantum computing (with use cases and challenges) By Erik Mclean from Pexels Quantum computing is still in its early stages [13], potentially impacting …
Bayesian Inference: The Best 5 Models and 10 Best Practices for Machine Learning
Author(s): Anil Tilbe Originally published on Towards AI. The advantages, top 5 models, and top 10 best practices for applying Bayesian inference to machine learning problems From Pixabay Bayesian inference is a popular machine learning technique that allows for an algorithm to …
Blockchain and NLP: Top 10 Approaches and Opportunities
Author(s): Anil Tilbe Originally published on Towards AI. When tied together, blockchain and NLP have numerous advantages, applications, and use cases across multiple industries By CocaKolaLips from Pexels Blockchain is a new and innovative technology that has the potential to change the …
Large Language Models (LLM): Top 3 of the Most Important Methods
Author(s): Anil Tilbe Originally published on Towards AI. 3 requirements to ensure your large language models (LLMs) you are training or working with provide optimal outputs and results By ThisIsEngineering from Pexels Large language models (LLM) currently apply across natural language specific …
5 Must-Know NLP Libraries on GitHub; One is a Must-Learn
Author(s): Anil Tilbe Originally published on Towards AI. The most important NLP libraries on GitHub for simple, efficient, and quick NLP modeling By Kenny Eliason from Unsplash If a natural language processing (NLP) library is not hosted on GitHub, it likely does …
5 Must-Know Machine Learning Libraries on GitHub; One is a Must-Learn
Author(s): Anil Tilbe Originally published on Towards AI. The most important machine learning libraries on GitHub for simple, efficient, and accurate modeling By Pro Church Media from Unsplash 5 Must-Know Machine Learning Libraries on Github; One is a Must-Learn I have probably …
The Framework Uber Uses to Streamline Statistical Experiments
Author(s): Jesus Rodriguez Originally published on Towards AI. OED enables the scoring and optimization experiments using Pyro’s probabilistic programming model. Source: https://eng.uber.com/oed-pyro-release/ I recently started an AI-focused educational newsletter, that already has over 125,000 subscribers. TheSequence is a no-BS (meaning no hype, …
Differences and Connections between Natural Language Processing and Computer Vision from a Machine Learning Perspective
Author(s): Hao WEI Originally published on Towards AI. Natural language processing, computer vision, machine learning I recently moved from the computer vision (CV) domain to the natural language processing (NLP) domain and found some interesting observations. The two domains are quite different …
Automate Machine Learning Workflow — Pyorange
Author(s): Kaushik Choudhury Originally published on Towards AI. Select appropriate classifiers empirically and automatically for the prediction scenarios from scikit-learn, XGBoost, LightGBM, CatBoost, spaCy, Optuna, Hyperopt, Ray, and many more. Photo by Clay Banks on Unsplash As machine learning professionals, we must …
Why Apriori Algorithm Is Not Applicable for All Types of Products/Stores?
Author(s): OneByyTwo Originally published on Towards AI. Apriori algorithm is the most sought-after tool when it comes to conducting Market Basket Analysis. However, it is not applicable to all types of products or stores. A note from the authors Dear readers, before …
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