KDnuggets

SEPTEMBER 4, 2019

Recommender systems are an important class of machine learning algorithms that offer "relevant" suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches work along with implementations to follow from example code.

Machine Learning 123

Machine Learning Systems Algorithm Coding 123

KDnuggets

SEPTEMBER 18, 2019

Cartoon: Unsupervised Machine Learning ? How to Become More Marketable as a Data Scientist; Ensemble Methods for Machine Learning: AdaBoost. Also: Cartoon: Unsupervised #MachineLearning?;

Machine Learning 105

Machine Learning Python Data 105

KDnuggets

OCTOBER 17, 2019

This post aims to make you get started with putting your trained machine learning models into production using Flask API.

Machine Learning 123

Machine Learning Python 123

Knowledge Hut

JUNE 25, 2024

Python could be a high-level, useful programming language that allows faster work. Python was designed by Dutch computer programmer Guido van Rossum in the late 1980s. For those interested in studying this programming language, several best books for python data science are accessible. out of 5 on the Goodreads website.

Data Science 97

Data Science Python Hadoop Machine Learning 97

KDnuggets

AUGUST 6, 2019

Feature selection is one of the most important tasks in machine learning. Learn how to use a simple random search in Python to get good results in less time.

Python 123

Python Machine Learning 123

KDnuggets

NOVEMBER 22, 2019

To demonstrate the implementation complexity differences along the AutoML highway, let's have a look at how 3 specific software projects approach the implementation of just such an AutoML "solution," namely Keras Tuner, AutoKeras, and automl-gs.

Machine Learning 123

Machine Learning Project Python 123

KDnuggets

NOVEMBER 14, 2019

Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.

Machine Learning 99

Machine Learning Data Python 99

Knowledge Hut

APRIL 22, 2024

Anyone aspiring to be a data scientist, machine learning engineer, or software developer must have thought about learning Python. The same study found Python to be the most desired coding language among those who do not presently use it. The popularity of Python cannot be disputed. What is Python?

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Python Programming Language Data Science Programming 98

KDnuggets

OCTOBER 31, 2019

A hands on guide to Logistic Regression for aspiring data scientist and machine learning engineer.

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Python Building Machine Learning Engineering 123

Knowledge Hut

DECEMBER 26, 2023

In today’s AI-driven world, Data Science has been imprinting its tremendous impact, especially with the help of the Python programming language. Owing to its simple syntax and ease of use, Python for Data Science is the go-to option for both freshers and working professionals. This image depicts a very gh-level pipeline for DS.

Data Science 92

Data Science Python Programming Language Portfolio 92

KDnuggets

JULY 24, 2019

Also: Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS; The Hundred-Page Machine Learning Book Book Review; The Evolution of a ggplot; Notes on Feature Preprocessing: The What, the Why, and the How.

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Machine Learning Coding Data Science Python 61

KDnuggets

SEPTEMBER 12, 2019

It turned out that, if we ask the weak algorithm to create a whole bunch of classifiers (all weak for definition), and then combine them all, what may figure out is a stronger classifier.

Machine Learning 98

Machine Learning Algorithm IT Python 98

Zalando Engineering

APRIL 18, 2022

To optimize the fashion experience for 46 million of our customers, Zalando embraces the opportunities provided by machine learning (ML). Let's look at it from the point of view of a machine learning practitioner, such as an applied scientist or a software engineer. Using the HPC is as easy as connecting to it via SSH.

Machine Learning 52

Machine Learning AWS Software Engineer Software Engineering 52

KDnuggets

NOVEMBER 27, 2019

Also: Deep Learning for Image Classification with Less Data; How to Speed up Pandas by 4x with one line of code; 25 Useful #Python Snippets to Help in Your Day-to-Day Work; Automated Machine Learning Project Implementation Complexities.

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Coding Deep Learning Machine Learning Python 153

KDnuggets

DECEMBER 16, 2019

Also: Plotnine: Python Alternative to ggplot2; AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020; Moving Predictive Maintenance from Theory to Practice; 10 Free Top Notch Machine Learning Courses; Math for Programmers!

Machine Learning 55

Machine Learning Data Science Deep Learning Building 55

KDnuggets

DECEMBER 11, 2019

AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments and Key Trends; Down with technical debt! Clean #Python for #DataScientists; Calculate Similarity?-?the the most relevant Metrics in a Nutshell.

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Deep Learning Machine Learning Data Science Python 58

ProjectPro

JANUARY 20, 2022

“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. We have put together the ideal artificial intelligence and machine learning path for you.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

KDnuggets

NOVEMBER 18, 2019

Since X never, ever marks the spot, this article raids the GitHub repos in search of quality automated machine learning resources. Read on for projects and papers to help understand and implement AutoML.

Machine Learning 70

Machine Learning Project Python 70

KDnuggets

SEPTEMBER 25, 2019

Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic machine learning; I wasn't getting hired as a Data Scientist. So I sought data on who is; Which Data Science Skills are core and which are hot/emerging ones?

Machine Learning 58

Machine Learning Python Data Science Data 58

U-Next

DECEMBER 2, 2022

Machine Learning is teaching computers to learn from data without being explicitly programmed. Python is essential for Data Science And Machine Learning for various reasons that you’ll find out here. . Many programming languages are used for Data Science and Machine Learning.

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Machine Learning Data Science Python Programming Language 40

KDnuggets

AUGUST 13, 2019

Apache Spark is one of the hottest and largest open source project in data processing framework with rich high-level APIs for the programming languages like Scala, Python, Java and R. It realizes the potential of bringing together both Big Data and machine learning.

Scala 24

Scala Programming Language Java Big Data 24

KDnuggets

AUGUST 21, 2019

Utilizing stacking (stacked generalizations) is a very hot topic when it comes to pushing your machine learning algorithm to new heights. For instance, most if not all winning Kaggle submissions nowadays make use of some form of stacking or a variation of it.

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Python Algorithm Machine Learning Utilities 103

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . Collaboration and Sharing.

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Consulting Machine Learning Data Science Data Pipeline 120

ProjectPro

FEBRUARY 25, 2022

Online fraud cases using credit and debit cards saw a historic upsurge of 225 percent during the COVID-19 pandemic in 2020 as compared to 2019. As per the NCRB report, the tally of credit and debit card fraud stood at 1194 in 2020 compared to 367 in 2019. lakh crore being syphoned off. How does Credit Card Fraud work?

Machine Learning 52

Machine Learning Project Algorithm Datasets 52

ProjectPro

OCTOBER 27, 2021

Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions.

Finance 52

Finance Machine Learning Project Banking 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. Citing Microsoft’s principal researcher Rich Caruana, ‘75 percent of machine learning is preparing to do machine learning… and 15 percent is what you do afterwards.’ This leaves only 10 percent of the entire flow automated by ML models. MLOps cycle.

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Machine Learning Deep Learning Algorithm Telecommunication 59

LinkedIn Engineering

OCTOBER 19, 2023

This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling. There was also a growing need for multi-language support within the overall Java-prevalent teams due to emerging machine learning use cases requiring Python.

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Process Lambda Architecture Kafka Machine Learning 119

Knowledge Hut

MAY 2, 2024

According to the marketanalysis.com report forecast, the global Apache Spark market will grow at a CAGR of 67% between 2019 and 2022. billion (2019 – 2022). It is used in Credit Card Processing, Fraud detection, Machine learning, and data analytics, IoT sensors, etc Cost As it is part of Apache Open Source there is no software cost.

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Hadoop Scala Datasets Java 96

KDnuggets

NOVEMBER 20, 2019

Read tips and tricks that helped one Data Scientist to get better at Machine Learning; Learn how to make ML project cost-effective; Consider submitting a blog to KDnuggets - you can be profiled here; and study how to manipulate Python lists.

Machine Learning 64

Machine Learning Project Python Data 64

Netflix Tech

OCTOBER 27, 2021

[link] Metaflow is a full-stack framework for data science that we started developing at Netflix over four years ago and which we open-sourced in 2019. It allows data scientists to define ML workflows, test them locally, scale-out to the cloud, and deploy to production in idiomatic Python code.

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Python Machine Learning Data Science Project 92

Advancing Analytics: Data Engineering

MARCH 5, 2019

This is a condensed version of the training day I offer on deploying machine learning models with Python, Docker and Kubernetes. On Saturday we had our last session of the conference which looked at how to accelerate models in to production using Azure DevOps and DataOps. That session is available to watch now.

Deep Learning 52

Deep Learning Machine Learning Big Data Data Science 52

Christophe Blefari

JANUARY 7, 2023

Introduction to Graph Machine Learning (related Grab Graph service platform ). This week Chris started a small footprint data catalog written in Python called Recap. They acquired Tableau in 2019 and analysts are saying that Tableau ex-employees are more often impacted by the lay-off. Data science has a tool obsession.

Data Science 130

Data Science Data BI Kafka 130

Knowledge Hut

JANUARY 18, 2024

This can sometimes cause confusion regarding their applications in real-world problems and for learning purposes. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

KDnuggets

SEPTEMBER 23, 2019

Also: Explore the world of Bioinformatics with Machine Learning; My journey path from a Software Engineer to BI Specialist to a Data Scientist; 5 Beginner Friendly Steps to Learn Machine Learning and Data Science with Python; 10 Great Python Resources for Aspiring Data Scientists.

Data Science 91

Data Science BI Software Engineer Software Engineering 91

KDnuggets

OCTOBER 2, 2019

Also: Top KDnuggets tweets, Sep 18-24: Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic ML; Automatic Version Control for Data Scientists; My journey path from a Software Engineer to BI Specialist to a Data Scientist.

Python 64

Python BI Software Engineer Software Engineering 64

Data Engineering Podcast

SEPTEMBER 2, 2019

And for your machine learning workloads, they just announced dedicated CPU instances. __init__ to learn about the Python language, its community, and the innovative ways it is being used. If you’ve learned something or tried out a project from the show then tell us about it!

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Building Data Database Design Media 100

ProjectPro

FEBRUARY 11, 2021

Spoiler Alert: Becoming a machine learning engineer can sound like a hard-to-reach goal but let us tell you the truth – it isn’t as hard as it seems. Image Credit: Makeameme.org So you are considering learning machine learning skills , and you’ve heard that becoming a machine learning engineer is the way to go.

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Machine Learning Engineering Programming Language Portfolio 40