Cloudera

NOVEMBER 15, 2021

Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. It aims to protect AI stakeholders from the effects of biased, compromised or skewed datasets. months since 2012. Here we briefly describe some of the challenges that data poses to AI. Data annotation.

Unstructured Data 86

Unstructured Data Pipeline-centric Database-centric Entertainment 86

ProjectPro

JANUARY 21, 2022

The solution is devised by applying statistical algorithms called machine learning models, which assist in revealing hidden patterns in the data. Well-versed with applications of various machine learning and deep learning algorithms. When you get to implement those algorithms, mathematics becomes more fun.

Deep Learning 52

Deep Learning Data Science Algorithm Programming Language 52

ProjectPro

NOVEMBER 24, 2021

And, if you think this may not be true anymore because Harvard stated that in 2012, we have another interesting fact to share with you. Knowledge of machine learning algorithms and deep learning algorithms. Experience in handling large datasets and drawing meaningful conclusions from them.

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

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. Table of Contents What is a dataset in machine learning? Why you need machine learning datasets? Where can I find datasets for machine learning?

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

APRIL 12, 2021

Deep learning job interviews. Most beginners in the industry break out in a cold sweat at the mere thought of a machine learning or a deep learning job interview. How do I prepare for my upcoming deep learning job interview? What kind of deep learning interview questions they are going to ask me?

Deep Learning 40

Deep Learning Datasets Machine Learning Algorithm 40

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. Data Modeling using multiple algorithms. What is Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

FEBRUARY 5, 2021

Image classification , a subfield of computer vision helps in processing and classifying objects based on trained algorithms. Image Classification had its Eureka moment back in 2012 when Alexnet won the ImageNet challenge and since then there has been an exponential growth in the field. Table of Contents What is the MNIST dataset?

Datasets 40

Datasets Deep Learning Medical Algorithm 40