ProjectPro

MARCH 17, 2021

“Machine Learning” and “Deep Learning” – are two of the most often confused and conflated terms that are used interchangeably in the AI world. However, there is one undeniable fact that both machine learning and deep learning are undergoing skyrocketing growth. respectively.

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

AltexSoft

DECEMBER 15, 2021

The software will make this choice itself, picking from the existing portfolio of options the one fitting your task best. The accuracy of the forecast depends not only on features but also on hyperparameters or internal settings that dictate how exactly your algorithm will learn on a specific dataset. Algorithm selection.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

AUGUST 16, 2021

Table of Contents Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning Projects for Resume - The Different Types to Have on Your CV 1. Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

NOVEMBER 17, 2021

Building a portfolio of projects will give you the hands-on experience and skills required for performing sentiment analysis. In this blog, you’ll learn more about the benefits of sentiment analysis and ten project ideas divided by difficulty level. It'll be a great addition to your data science portfolio (or CV) as well.

Coding 52

Coding Project Entertainment Datasets 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Table of Contents What is a Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40