AltexSoft

DECEMBER 15, 2021

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. To grasp how DevOps principles can be integrated into machine learning, read our article on MLOps methods and tools. Source: Google Cloud Blog. AutoML use cases.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

JANUARY 31, 2023

This is particularly true when working with complex deep-learning models that require large amounts of data to perform well. However, collecting and annotating large amounts of data might not always be possible, and it is also expensive and time-consuming. Table of Contents What is Data Augmentation in Deep Learning?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Edureka

JULY 16, 2024

However, going from data to the shape of a model in production can be challenging as it comprises data preprocessing, training, and deployment at a large scale. In this blog, you will learn what is AWS SageMaker, its Key features, and some of the most common actual use cases! Table of Content What is Amazon SageMaker?

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

Picnic Engineering

MAY 23, 2023

At Picnic, we understand the importance of efficient and accurate customer service, which is why we’ve turned to natural language processing techniques to automate the classification of customer feedback as you can read in this and this blog post. However, there are some limitations to using traditional approaches.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

Knowledge Hut

NOVEMBER 19, 2023

In this blog, we will explore the career paths of Artificial intelligence and what skills are most important to consider while taking this journey. Algorithms, data preparation and model evaluations. Continuous Learning: There are constant changes in the AI field.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

U-Next

SEPTEMBER 7, 2022

People who are unfamiliar with unprocessed data often find it difficult to navigate data lakes. Usually, raw, unstructured data needs to be analyzed and translated by a data scientist using specialized tools. . Apache Spark and Hadoop can be used for big data analytics on data lakes. . Conclusion . .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

MAY 9, 2024

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. What is Data Science? Additionally, they possess strong communication skills.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

AltexSoft

FEBRUARY 21, 2023

Hotel price prediction is a critical aspect of the travel industry, and with the rise of machine learning , it has become more precise and accurate. This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. So we are going to discuss them in more detail.

Hospitality 52

Hospitality Algorithm Datasets Machine Learning 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. It is a serverless data integration service that makes data preparation easier, cheaper and faster. Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

AltexSoft

MAY 12, 2021

Read our article Deep Learning in Medical Diagnosis to get more information about applications for AI in medical image analysis and barriers to adoption of machine learning in healthcare. Otherwise, let’s proceed to the first and most fundamental step in building AI-fueled computer vision tools — data preparation.

Medical 72

Medical Healthcare Datasets Machine Learning 72

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. These datasets offer opportunities to analyze, manipulate, and extract insights from real data, preparing you for real-world scenarios.

Data Science 52

Data Science Datasets Machine Learning Portfolio 52

ProjectPro

OCTOBER 20, 2021

Data Science has taken off in the technology space, the job title data scientist even being crowned as the Sexiest Job of the 21 st Century. Let's understand where Data Science belongs in the space of Artificial Intelligence. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration.

Machine Learning 52

Machine Learning Algorithm Data Science Government 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. Python can be used as the Big Data source code.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JANUARY 15, 2021

No doubt, it is always good to have clarity on your machine learning concepts theoretically but without getting relevant practical exposure you cannot expect to become an enterprise data scientist or a machine learning engineer. However, this is slightly more challenging than its drop-in replacement.

Machine Learning 40

Machine Learning Datasets Retail Banking 40