KDnuggets

SEPTEMBER 10, 2019

How does the scikit-learn machine learning library for Python compare to the mlr package for R? Following along with a machine learning workflow through each approach, and see if you can gain a competitive advantage by knowing both frameworks.

Machine Learning 112

Machine Learning Python 112

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

AUGUST 2, 2019

Speed up your Machine Learning workflow using Python RAPIDS libraries support. The future is here!

Machine Learning 113

Machine Learning Data Analytics Python Data 113

Jesse Anderson

DECEMBER 12, 2022

Google’s 2015 paper Hidden Technical Debt in Machine Learning Systems highlighted the fact that machine learning isn’t just the creation of models. I followed that post up in 2019 by showing that data scientists are not data engineers. At various times it’s been Java, Scala, and Python.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

KDnuggets

NOVEMBER 13, 2019

The following article is an introduction to classification and regression — which are known as supervised learning — and unsupervised learning — which in the context of machine learning applications often refers to clustering — and will include a walkthrough in the popular python library scikit-learn.

Machine Learning 89

Machine Learning Python 89

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

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 88

Machine Learning Python Data 88

KDnuggets

SEPTEMBER 19, 2019

“I want to learn machine learning and artificial intelligence, where do I start?”

Machine Learning 106

Machine Learning Data Science Python Data 106

KDnuggets

SEPTEMBER 17, 2019

The article contains a brief introduction of Bioinformatics and how a machine learning classification algorithm can be used to classify the type of cancer in each patient by their gene expressions.

Machine Learning 118

Machine Learning Algorithm Python 118

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

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 113

Machine Learning Systems Algorithm Coding 113

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.

Machine Learning 47

Machine Learning Coding Data Science Python 47

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 46

Machine Learning Data Science Deep Learning Building 46

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 112

Machine Learning Python 112

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.

Hadoop 96

Hadoop Scala Datasets Java 96

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.

Deep Learning 47

Deep Learning Machine Learning Data Science Python 47

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 106

Python Machine Learning 106

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.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

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 114

Machine Learning Project Python 114

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

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 47

Machine Learning Python Data Science Data 47

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 62

Machine Learning Project Python 62

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

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 Big Data Machine Learning Data Science 52

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 86

Machine Learning Algorithm IT Python 86

ProjectPro

NOVEMBER 30, 2021

According to the 2020 O'Reilly survey report, Deep learning (55%) is also the most popular technique used among organizations still in the evaluation stage of Artificial intelligence. Evolution of Machine Learning Applications in Finance : From Theory to Practice Who is a Deep Learning Engineer?

Deep Learning 52

Deep Learning Engineering Machine Learning Programming Language 52

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.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

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 86

Machine Learning Data Python 86

Knowledge Hut

MAY 2, 2024

According to marketanalysis.com survey, the Apache Spark market worldwide will grow at a CAGR of 67% between 2019 and 2022. billion (2019 - 2022). Spark also has out of the box support for Machine learning and Graph processing using components called MLlib and GraphX respectively.

Scala 52

Scala Hospitality Healthcare Machine Learning 52

Knowledge Hut

MARCH 28, 2024

With an amazing growth rate of 11% from 2019 to 2029, data engineers are in rising demand now and in the future as well. Education & Skills Required Proficiency in SQL, Python, or other programming languages. Role Level: Intermediate Responsibilities Develop machine learning pipelines using Azure Machine Learning service.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

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.

Python 91

Python Machine Learning Data Science Project 91

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 50

Machine Learning Project Python Data 50

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

OCTOBER 4, 2023

Windows Server 2019 Data Centre, server 2019 standard, server 2016 standard, server 2016 datacenter. It will ingest the data through Power BI and leverage the complete power of machine learning for easy collaboration. You will also get the Python icon for visualization and transformation of data.

BI 52

BI Systems Raw Data Business Intelligence 52

KDnuggets

OCTOBER 31, 2019

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

Python 106

Python Building Machine Learning Engineering 106

Knowledge Hut

JUNE 13, 2024

Nowadays, diseases can be predicted at the earliest stage with the help of data science in healthcare , that too remotely with innovative appliances powered by Machine learning. With the help of data science tools and machine learning algorithms, doctors can detect and track common conditions, like cardiac or respiratory diseases.

Healthcare 52

Healthcare Data Science Medical Pharmaceutical 52

Picnic Engineering

JANUARY 9, 2024

Our goal is to personalise every aspect of the grocery shopping experience using machine learning. CARP is a relatively simple machine learning model ( Under the hood CARP is powered by XGBoost ) with handcrafted features tailored to predicting repeat purchases.

Machine Learning 91

Machine Learning Datasets Algorithm Systems 91