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332 articles · Page 4 of 4
Qunar Tech Salon
Qunar Tech Salon
Oct 15, 2018 · Artificial Intelligence

Introduction to Decision Trees with scikit-learn

This article provides a comprehensive guide to decision tree algorithms, covering their theoretical background, classic use‑cases, scikit‑learn's DecisionTreeClassifier parameters, step‑by‑step Python examples for training, visualizing, and exporting trees, as well as a comparison of ID3, C4.5, and CART methods with their advantages and limitations.

Pythonclassificationdecision tree
0 likes · 20 min read
Introduction to Decision Trees with scikit-learn
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 27, 2018 · Artificial Intelligence

How DeepInsight Transforms Deep Learning Model Debugging with Real-Time Visualization

DeepInsight is a distributed, micro‑service‑based platform that provides end‑to‑end data exposure, multi‑dimensional visual analysis, and interactive debugging for TensorFlow models, turning opaque neural networks into transparent, controllable systems through real‑time visualizations, dynamic data sets, and integrated lifecycle management.

AI platformTensorFlowdeep learning
0 likes · 17 min read
How DeepInsight Transforms Deep Learning Model Debugging with Real-Time Visualization
Efficient Ops
Efficient Ops
Sep 25, 2018 · Operations

How Minsheng Bank Built a Unified IT Operations Visualization Platform

This article details Minsheng Bank's journey in consolidating fragmented IT operations tools into a single visual platform—integrating CMDB, monitoring, automation, and change data—to improve daily monitoring, fault isolation, change impact analysis, and knowledge sharing while paving the way for AIOps.

AIOpsCMDBvisualization
0 likes · 12 min read
How Minsheng Bank Built a Unified IT Operations Visualization Platform
ITPUB
ITPUB
Sep 4, 2018 · Fundamentals

Essential Python Libraries Every Data Scientist Should Know

This article surveys the most useful open‑source Python packages for data science, covering core numerical libraries, visualization tools, machine‑learning frameworks, natural‑language‑processing kits, and data‑mining utilities, while showing GitHub contribution metrics and Google‑trend popularity.

Data ScienceLibrariesNLP
0 likes · 12 min read
Essential Python Libraries Every Data Scientist Should Know
Big Data and Microservices
Big Data and Microservices
Aug 16, 2018 · Big Data

Mastering Big Data Analysis: 5 Core Aspects and 4 Key Methods

This article outlines the five fundamental aspects of big data analysis—visualization, data‑mining algorithms, predictive analytics, semantic engines, and data quality management—and explains four primary analytical approaches: descriptive, diagnostic, predictive, and prescriptive analysis.

Data Analysisbig datadata mining
0 likes · 6 min read
Mastering Big Data Analysis: 5 Core Aspects and 4 Key Methods
Python Crawling & Data Mining
Python Crawling & Data Mining
Jul 31, 2018 · Big Data

Can Web‑Scraped Movie Reviews Predict Box Office? A Python Data‑Mining Case Study

Using Python to scrape over ten thousand Maoyan comments for the comedy film “The Billionaire” (西虹市首富), this article demonstrates data cleaning, geographic heat‑maps, city‑wise rating analysis, word‑cloud generation, and a simple box‑office forecast based on a comparable movie, illustrating practical web‑scraping and data‑mining techniques.

Box Office PredictionData AnalysisMovie Reviews
0 likes · 10 min read
Can Web‑Scraped Movie Reviews Predict Box Office? A Python Data‑Mining Case Study
MaGe Linux Operations
MaGe Linux Operations
Jul 27, 2018 · Fundamentals

Master Pandas: Essential Techniques for Data Exploration and Analysis

This tutorial introduces Pandas fundamentals, covering installation, data structures, importing CSV files, inspecting and reshaping data, filtering with boolean masks, indexing, applying functions, grouping, merging, quick plotting, and saving results, all illustrated with clear examples and images.

Data AnalysisDataFrameFiltering
0 likes · 14 min read
Master Pandas: Essential Techniques for Data Exploration and Analysis
Efficient Ops
Efficient Ops
Jun 21, 2018 · Fundamentals

Can Python Predict the 2018 World Cup Champion? A Data‑Driven Analysis

This article demonstrates how to use Python, pandas, and Jupyter Notebook to explore a comprehensive World Cup dataset, clean and enrich the data, visualize win and goal statistics for all teams, and finally predict the top three contenders for the 2018 tournament.

Data AnalysisPythonWorld Cup
0 likes · 12 min read
Can Python Predict the 2018 World Cup Champion? A Data‑Driven Analysis
JD Tech
JD Tech
Apr 17, 2018 · Operations

Overwatch: A Distributed Real‑Time RPC Monitoring Platform for System Observability

The article describes Overwatch, a distributed monitoring system developed by Dada‑JD Daojia that collects, aggregates, and visualizes RPC traffic in real time using consumer‑side agents, Kafka, Storm, and a Node.js CQRS architecture, enabling engineers to quickly locate and resolve service failures.

CQRSDistributed MonitoringRPC
0 likes · 8 min read
Overwatch: A Distributed Real‑Time RPC Monitoring Platform for System Observability
Meituan Technology Team
Meituan Technology Team
Feb 8, 2018 · Big Data

Operational Topic Data Productization: Architecture, Modeling, and Service Layers at Meituan-Dianping

To tackle Meituan‑Dianping’s massive POI and user data challenges, the team built a hybrid 3NF‑plus‑dimensional data warehouse with ODS, BAS, FACT, and optional TOPIC layers, added Kylin‑based pre‑computation cubes, a plug‑in middle‑platform service (metric dictionary, rule engine, compute engine), and interactive ECharts visualizations, delivering unified metrics, faster ad‑hoc queries, scalable analytics, and reduced development costs.

Precomputationservice architecturevisualization
0 likes · 17 min read
Operational Topic Data Productization: Architecture, Modeling, and Service Layers at Meituan-Dianping
MaGe Linux Operations
MaGe Linux Operations
Nov 22, 2017 · Artificial Intelligence

Top 15 Python Libraries Every Data Scientist Should Master in 2017

This article surveys the most essential Python packages for data science in 2017, covering core scientific computing, data manipulation, visualization, machine learning, deep learning, natural language processing, and web scraping, and explains why each library remains indispensable for modern analysts.

Data ScienceNLPPython
0 likes · 13 min read
Top 15 Python Libraries Every Data Scientist Should Master in 2017
21CTO
21CTO
Nov 6, 2017 · Artificial Intelligence

Predict Retail Sales Without Coding: A Complete KNIME Tutorial

This step‑by‑step guide shows beginners how to use the GUI‑driven KNIME platform to import, clean, visualize, and model the BigMart sales dataset, enabling accurate retail sales predictions without writing any code.

KNIMENo-codedata cleaning
0 likes · 12 min read
Predict Retail Sales Without Coding: A Complete KNIME Tutorial
Dada Group Technology
Dada Group Technology
Sep 29, 2017 · Operations

Overwatch: A Distributed System Monitoring Platform for Real‑Time RPC Visibility

Overwatch is an open‑source distributed monitoring platform built by Dada‑Jingdong Home that collects, aggregates, and visualizes RPC traffic across thousands of micro‑services in real time, enabling engineers to quickly pinpoint the root cause of system failures using directed‑graph visualizations and CQRS‑based data queries.

CQRSKafkaRPC
0 likes · 10 min read
Overwatch: A Distributed System Monitoring Platform for Real‑Time RPC Visibility
MaGe Linux Operations
MaGe Linux Operations
Jun 27, 2017 · Artificial Intelligence

Top Python Libraries Every Data Scientist Should Master

This article reviews the most essential Python libraries for data science—including NumPy, SciPy, Pandas, Matplotlib, Seaborn, Bokeh, Plotly, Scikit‑Learn, TensorFlow, Keras, NLTK, Gensim, Scrapy and Statsmodels—highlighting their core features, GitHub activity and typical use cases.

LibrariesNLPdata-science
0 likes · 12 min read
Top Python Libraries Every Data Scientist Should Master
MaGe Linux Operations
MaGe Linux Operations
Jun 5, 2017 · Artificial Intelligence

Top 15 Python Libraries Every Data Scientist Should Master

This article surveys the most essential Python packages for data science, covering core scientific libraries, visualization tools, machine‑learning frameworks, natural‑language‑processing kits, and data‑mining utilities, with brief descriptions and links to each project.

Librariesdata-sciencemachine-learning
0 likes · 12 min read
Top 15 Python Libraries Every Data Scientist Should Master
Architects Research Society
Architects Research Society
Nov 21, 2016 · Artificial Intelligence

Data Science Q&A: Overfitting, Experimental Design, Tall/Wide Data, Chart Junk, Outliers, Extreme Value Theory, Recommendation Engines, and Visualization

This article presents a series of data‑science questions and expert answers covering overfitting, experimental design for user behavior, the distinction between tall and wide data, detecting chart junk, outlier detection methods, extreme‑value theory for rare events, recommendation‑engine fundamentals, and techniques for visualizing high‑dimensional data.

Experimental Designchart junkextreme value theory
0 likes · 18 min read
Data Science Q&A: Overfitting, Experimental Design, Tall/Wide Data, Chart Junk, Outliers, Extreme Value Theory, Recommendation Engines, and Visualization
Efficient Ops
Efficient Ops
Sep 19, 2016 · Operations

How Ctrip Revolutionized IDC Management with Visual Automation

Ctrip’s rapid internet growth forced a massive data‑center expansion, prompting the company to evolve from self‑built facilities to hybrid vendor‑leased IDC, and ultimately to a visual management platform that automates monitoring, space planning, device intake, and operational workflows, dramatically improving efficiency and reducing manual effort.

CMDBInfrastructurevisualization
0 likes · 13 min read
How Ctrip Revolutionized IDC Management with Visual Automation
Architecture Digest
Architecture Digest
Sep 12, 2016 · Artificial Intelligence

Design and Implementation of a Real‑Time, Highly Available General Recommendation Platform at YHD

The article describes how YHD's precision recommendation team built a real‑time, highly available, traceable general recommendation platform, detailing its background, overall architecture, visual configuration and traceability subsystems, and reporting significant improvements in development speed, reuse and user satisfaction.

AIHBaseKafka
0 likes · 8 min read
Design and Implementation of a Real‑Time, Highly Available General Recommendation Platform at YHD
21CTO
21CTO
Jun 16, 2016 · Big Data

Building a Simple Open‑Source Self‑Service BI Platform with Flask & React

This article introduces dataplay2, an open‑source self‑service BI platform built with Flask, pandas, scikit‑learn on the backend and React, ECharts, D3, and other JavaScript libraries on the frontend, detailing its architecture, installation steps, core features such as data upload, visualization, classification, clustering, and future improvement ideas.

BIData Analysismachine learning
0 likes · 11 min read
Building a Simple Open‑Source Self‑Service BI Platform with Flask & React
DevOps
DevOps
Apr 29, 2016 · Product Management

Impact Mapping: Visualizing Requirements and Applying It to Film Analysis

This article introduces Impact Mapping as a powerful visual technique for turning abstract business goals into concrete software features, illustrates its use with a detailed analysis of the movie "The Secret Life of Walter Mitty," and explains how the method integrates with user‑story mapping in product development.

Strategic Designimpact mappingproduct planning
0 likes · 9 min read
Impact Mapping: Visualizing Requirements and Applying It to Film Analysis
Java High-Performance Architecture
Java High-Performance Architecture
Mar 15, 2016 · Operations

Building a 3-Dimensional Automated Visual Monitoring System for High-Availability

The article describes a three-dimensional, automated, visual monitoring approach for high-availability systems, detailing a five-layer monitoring model, automated log collection using Logstash-Redis-Elasticsearch, and visualization techniques that together reduce fault-locating time and improve operational efficiency.

System Designautomationmonitoring
0 likes · 5 min read
Building a 3-Dimensional Automated Visual Monitoring System for High-Availability
Qunar Tech Salon
Qunar Tech Salon
Jan 29, 2016 · Big Data

Python Data Analysis Learning Roadmap (16‑Week Plan)

This article presents a 16‑week Python data‑analysis learning roadmap covering environment setup, basic syntax, web‑scraping techniques, data‑analysis libraries such as pandas and NumPy, and data‑visualization with matplotlib, along with curated free resources and tutorials for each stage.

NumPyWeb Scrapingpandas
0 likes · 6 min read
Python Data Analysis Learning Roadmap (16‑Week Plan)
21CTO
21CTO
Nov 15, 2015 · Frontend Development

Top 10 JavaScript Libraries for Building Interactive Maps

Explore a curated list of ten JavaScript libraries that enable developers to create interactive, customizable maps—including Google Maps integrations, data visualizations, and CSS‑only solutions—providing the tools needed to enhance web mapping experiences.

Librariesfrontendmaps
0 likes · 4 min read
Top 10 JavaScript Libraries for Building Interactive Maps
Art of Distributed System Architecture Design
Art of Distributed System Architecture Design
May 3, 2015 · Operations

Visualization in Operations: Service Delivery and Service Metrics

The article explains how visualizing both service delivery and service metrics is essential for modern operations, describing the evolution from ITIL processes to DevOps automation, continuous delivery of infrastructure and applications, and data‑driven measurement techniques that enable consistent, agile, and measurable operational performance.

DevOpsService Deliveryautomation
0 likes · 10 min read
Visualization in Operations: Service Delivery and Service Metrics