KDnuggets

FEBRUARY 1, 2023

To tackle these for scikit-learn models, we've developed a new open-source library: skops. There are various challenges in MLOps and model sharing, including, security and reproducibility. In this article, I will walk you through how it works and how to use it with an end-to-end example.

IT 135

IT 135

KDnuggets

JANUARY 26, 2023

Become familiar with some of the most popular Python libraries available for hyperparameter optimization.

Python 109

Python Machine Learning 109

KDnuggets

JANUARY 24, 2023

Learn about machine learning libraries for building and deploying machine learning models.

Machine Learning 124

Machine Learning Building 124

KDnuggets

APRIL 11, 2022

Let's have a look at the Python libraries that every data scientist should know in 2022, to maintain and improve their coding journey.

Python 128

Python Data Coding 128

KDnuggets

OCTOBER 13, 2023

A new deep learning framework built entirely in Rust that aims to balance flexibility, performance, and ease of use for researchers, ML engineers, and developers.

Deep Learning 128

Deep Learning Engineering Machine Learning 128

KDnuggets

AUGUST 30, 2023

7 Projects Built with Generative AI • Beyond Numpy and Pandas: Unlocking the Potential of Lesser-Known Python Libraries • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • GPT-4: 8 Models in One; The Secret is Out

Python 129

Python Project Data Science Coding 129

KDnuggets

APRIL 12, 2023

The nlptest library aims to share these tools with the open-source community. John Snow Labs has learned a lot about testing and delivering Responsible NLP models: not only in terms of policies and goals, but by building day-to-day tools for data scientists.

Building 87

Building Data 87

KDnuggets

JANUARY 4, 2024

This article will help you understand the different tools of Data Science used by experts for Data Visualization, Model Building, and Data Manipulation.

Python 123

Python Data Science Data Building 123

KDnuggets

JANUARY 16, 2023

Become familiar with some of the most popular Python libraries available for AI explainability.

Python 108

Python Machine Learning 108

ProjectPro

JANUARY 27, 2023

Computer vision libraries provide in-built functions and optimized algorithms for various image and video processing tasks. These libraries help data scientists and machine learning engineers save significant time and resources when performing complex image/video processing and analysis tasks with minimal coding.

Python 52

Python Deep Learning Programming Language Algorithm 52

ProjectPro

JANUARY 24, 2023

It discusses the best Python NLP libraries in Python and a project idea to help you build an in-depth understanding of these libraries usage. 7 Best Python NLP Libraries for your Next Project Here is a list of five amazing libraries in Python that are best suited for NLP applications. in a few lines of code.

Python 52

Python Project Programming Language Data Mining 52

KDnuggets

AUGUST 21, 2023

3 Python libraries for scientific computation you should know as a data professional.

Python 88

Python Data 88

U-Next

AUGUST 25, 2022

Machine Learning libraries , like Pandas, Numpy, Matplotlib, OpenCV, Flask, Seaborn, etc., Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. Introduction.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

Knoldus

SEPTEMBER 28, 2022

TensorFlow Lite Task Library contains a useful and powerful set of interfaces. That helps us handle most of the pre-processing and post-processing logic Continue Reading The post Let us know what is TensorFlow Lite Task Library appeared first on Knoldus Blogs.

Process 52

Process Machine Learning Data Engineering Data Engineer 52

Yelp Engineering

APRIL 23, 2023

Since then, adoption of our new MVI architecture library has risen and we’ve seen some great performance and scalability wins. In 2018, Yelp switched from using the MVP architecture to the MVI architecture for Android development.

Architecture 59

Architecture Management 59

KDnuggets

DECEMBER 20, 2021

Check out these powerful R libraries built by the world’s biggest tech companies.

Python 155

Python Data Data Science 155

ProjectPro

FEBRUARY 21, 2023

Python is a popular choice for such image-processing applications because of its ease of use, simplicity, and a vast array of image-processing libraries. This blog will explore the need for image-processing and various python image processing libraries available to computer vision engineers for different use cases.

Data Science 52

Data Science Python Process Algorithm 52

KDnuggets

MAY 15, 2023

The road to simpler Data Analysis for data scientists and analysts, powered by OpenAI.

Python 142

Python Data Analysis Data 142

KDnuggets

JULY 31, 2023

A user-friendly platform for operating large language models (LLMs) in production, with features such as fine-tuning, serving, deployment, and monitoring of any LLMs.

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87

Analytics Vidhya

MARCH 5, 2023

Introduction NumPy is an open-source library in python and a must-learn if you want to enter the data science ecosystem. It is the library underpinning other important libraries such as Pandas, matplotlib, Scipy, scikit-learn, etc.

Python 269

Python Data Science Programming IT 269

KDnuggets

MARCH 29, 2023

Automate the Boring Stuff with GPT-4 and Python • Introduction to Python Libraries for Data Cleaning • Google Answer to ChatGPT by Adding Generative AI into Docs and Gmail • Top 15 YouTube Channels to Level Up Your Machine Learning Skills • 3 Mistakes That Could Be Affecting the Accuracy of Your Data Analytics

Python 76

Python Machine Learning Data Analytics Data 76

KDnuggets

JANUARY 11, 2024

An in-depth analysis of their syntax, speed, and usability. Which one is the best to use when working with data?

Data 111

Data Python 111

U-Next

NOVEMBER 8, 2022

But thanks to different Machine Learning Python libraries , frameworks, and modules, it is now a lot simpler and more effective than it was in the past. It has overtaken several businesses, partly due to its enormous library collection. . Python libraries in Machine Learning are software packages that help you get things done.

Machine Learning 40

Machine Learning Python Deep Learning Algorithm 40

KDnuggets

JANUARY 18, 2023

7 Best Platforms to Practice SQL • Explainable AI: 10 Python Libraries for Demystifying Your Model's Decisions • ChatGPT: Everything You Need to Know • Data Lakes and SQL: A Match Made in Data Heaven • Google Data Analytics Certification Review for 2023

SQL 84

SQL Python Data Lake Certification 84

KDnuggets

MAY 17, 2023

Mojo Lang: The New Programming Language • Pandas AI: The Generative AI Python Library • Data Scientist’s Guide to Cognitive Biases: A Free eBook • 8 Free AI and LLMs Playgrounds • Practical Statistics for Data Scientists

Programming Language 57

Programming Language Programming Python Data 57

KDnuggets

APRIL 13, 2022

Python Libraries Data Scientists Should Know in 2022; Naïve Bayes Algorithm: Everything You Need to Know; Data Ingestion with Pandas: A Beginner Tutorial; Data Science Interview Guide - Part 1: The Structure; 5 Ways to Expand Your Knowledge in Data Science Beyond Online Courses.

Algorithm 95

Algorithm Python Data Ingestion Data Science 95

KDnuggets

MARCH 24, 2023

Accelerate your data-cleaning process without a hassle.

Python 117

Python Data Process Data Science 117

KDnuggets

SEPTEMBER 23, 2023

Simple explanation of PyTorch and Lightning AI.

Deep Learning 122

Deep Learning Machine Learning 122

Start Data Engineering

APRIL 22, 2024

pytest: A powerful Python library for testing 2.2.1. Introduction 2. Ensure the code’s logic is working as expected with tests 2.1. Test types for data pipelines 2.2. Set context, run code, check results & clean up 2.2.2. Tests are identified by their name 2.2.3. Use fixture to create fake data for testing 2.2.4.

Coding 208

Coding Data Pipeline Python Data 208

RudderStack

MAY 11, 2021

RudderStack launches its Video library. A set of detailed, informative videos that will help developers gain knowledge about the product’s features.

IT 40

IT 40

KDnuggets

DECEMBER 7, 2021

A lot of missing values in the dataset can affect the quality of prediction in the long run. Several methods can be used to fill the missing values and Datawig is one of the most efficient ones.

Deep Learning 140

Deep Learning AWS Datasets Data Preparation 140

KDnuggets

APRIL 4, 2023

Deliver reliable, safe and effective NLP models.

Process 108

Process 108