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 88

Machine Learning Python 88

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 107

Machine Learning Data Science Python Data 107

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

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 114

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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!

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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.

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Machine Learning Python 112

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.

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Python Machine Learning 107

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

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

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 Retail 52

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

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

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

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

NOVEMBER 20, 2023

Master’s in artificial intelligence or machine learning (optional). Step 3: Gain in-depth Knowledge of AI Concepts Apart from the above-mentioned certifications, you can get a certification in artificial intelligence, machine learning, etc. Skilled in machine learning.

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Recruitment Algorithm Machine Learning Computer Science 52

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

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 57

Machine Learning Project Python 57

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 87

Machine Learning Data Python 87

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 130

Data Data Science 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

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 89

Python Machine Learning Data Science Metadata 89

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 49

Machine Learning Project Python Data 49

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

Data Engineering Weekly

AUGUST 13, 2023

link] Sponsored: Great Data Debate–The State of Data Mesh Since 2019, the data mesh has woven itself into every blog post, event presentation, and webinar. As Python takes center stage in AI computing, reading about parallel processing engines like Dask is fascinating. Does its promise of a decentralized dreamland hold true?

Data Engineering 52

Data Engineering Data Engineer Engineering Food 52

Monte Carlo

JUNE 26, 2023

Last year, Snowflake chose a hybrid approach covering many of their previous announcements such as their Steamlit acquisition but also waiting until the morning of their keynote to announce Python compatibility in Snowpark. billion on Monday as well.

BI 59

BI Machine Learning Data Science Cloud 59

Knowledge Hut

JULY 27, 2023

They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python. 2019 $85,000 $40.88 +1.8% An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer.

Hadoop 52

Hadoop Programming Language Banking Scala 52

Knowledge Hut

JANUARY 11, 2024

I recommend checking out Data Science With Python course syllabus to start your data science journey. AstraZeneca also utilizes AI and machine learning to optimize the process at different stages and minimize the overall time for the clinical trials by analyzing the clinical trial data.

Data Science 98

Data Science Transportation Hospitality Banking 98

Databand.ai

DECEMBER 13, 2022

He has deep expertise in distributed systems, data engineering, API design, data integration from multiple sources, and machine learning. Charles is also an Instructional Assistant for the Python certificate program at the UW School of Professional and Continuing Education.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Advancing Analytics: Data Engineering

DECEMBER 3, 2018

Simon Whiteley and I will be back at #SQLBits 2019 talking about hashtag#DataEngineering and #DataScience in Databricks. We will look at #ApacheSpark #Python #Engineering & #MachineLearning in this full day training day. Register Now Have you looked at Azure DataBricks yet? Then you need to. Why you ask, there are many reasons.

Data Science 52

Data Science Machine Learning Python Data Pipeline 52

Knowledge Hut

JANUARY 23, 2024

Indra Capital Gautam Sampath Kumar is the Founder / CEO of Indra Crypto Capital, founded in 2019. Vegavid Technology Global Blockchain Development Solution The objective of Vegavid Technology, founded in 2019, is to change the globe into futuristic technology.

Consulting 52

Consulting Finance Transportation Medical 52

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 52

Python BI Software Engineer Software Engineering 52

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer? How much python should you know to become a data engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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.

Python 86

Python Algorithm Machine Learning Utilities 86

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. By Bethann Noble, Director Product Marketing Machine Learning at Cloudera. Stay tuned. Register today!

Data Science 48

Data Science Transportation Machine Learning Algorithm 48