These business intelligence books are a great resource for professionals interested in learning more about the concept and how to apply it.
8. “Big Data Analytics Methods: Modern Analytics Techniques for the 21st Century: The Data Scientist’s Manual to Data Mining, Deep Learning & Natural Language Processing” Author: Peter Ghavami Website: Amazon Peter’s book might seem daunting to a NLP newcomer, but it’s useful as a comp...
machine learningstatisticstext miningThis chapter explores the usual cycle when working with big data and focuses at what stage data analytics intervenes. Two essential components are needed to question whether data analytics can or cannot add value: data and a well銉緀fined problem. It is ...
Data visualization—utilizing tools like Tableau, Shiny, or Plotly to create crisp, compelling dashboards, and visualizations. Once you’ve mastered the basics, you can start getting more ambitious with your data analytics projects. For example, why not introduce some machine learning projects, like...
Data Mining Business Forecasting Intelligence Gathering Agile Methodology Machine Learning Business requirements gathering Psychometrics Advanced mathematical abilities Agile framework understanding You should sprinkle skills and abilities throughout your resume. Include them in your professional summary, work experie...
Subjects Covered in PG Programs Offered on the Great Learning Platform PG programs typically cover a wide range of subjects in various fields of study, including: Data Science: Statistics, Python, R, SQL, Exploratory Data Analysis (EDA), Data Mining, Data Engineering, Predictive Modeling, Time ...
Medical clustering problem is a type of unsupervised learning in data mining. This work present a hybridization between our previous proposed Iterative Simulated Annealing (ISA) and Modified Great Deluge (MGD) algorithms for medical clustering problems. The aim of this work is to produce an ...
Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning (arXiv '24) [Paper] Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining (WWW '24) [Paper] UCM-Net: A U-Net-Like Tampered-Region-Related Framework for Copy-Move Forgery Detection (TMM...
As a deep learning model with hundreds of billions of scale parameters and complex structures, a large model has extremely high requirements for the carrying capacity and efficiency of computing power. Many cities with strong demands for AI are increasing the supply of computing power, such as Bei...
Although many of its problems today are stated by means of abstract technical definitions not easily mastered by the lay person, nevertheless the subject that has commanded widespread attention over the past 3000 years should remain a vital area of human learning for at least that far into the ...