Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 27, 2023

Transitioning to a career in data science has become increasingly attractive in recent years. The demand for qualified data professionals continues to rise as companies recognize the value of data-driven decision-making. What Do Data Scientists Do? Why Should You Get Into Data Science?

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

AltexSoft

JULY 8, 2021

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. Alphonso – the US-based TV data company – proves this statement. You will also learn how propensity models are built and where is the best place to start.

Machine Learning 78

Machine Learning Algorithm Education Data Science 78

ProjectPro

AUGUST 30, 2022

This article will walk you through how one can start by exploring a loan prediction system as a data science and machine learning problem and build a system/application for loan prediction using your own machine learning project. Table of Contents What is Loan Prediction using Machine Learning?

Machine Learning 52

Machine Learning Coding Project Datasets 52

ProjectPro

DECEMBER 16, 2021

Are you a newbie in the data science domain ready to embark on a rewarding journey but are confused between the roles of a Machine Learning Engineer vs Data Scientist? Data Science is an emerging discipline and so are the roles and job titles pretty much evolving.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Knowledge Hut

FEBRUARY 1, 2024

Choosing the right data is the first step in any data science application. Then comes the data format. You cannot expect your analysis to be accurate unless you are sure that the data on which you have performed the analysis is free from any kind of incorrectness. The real-world data is messy.

Data Science 52

Data Science Process Data Cleanse Datasets 52

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. This leaves only 10 percent of the entire flow automated by ML models. MLOps cycle.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

U-Next

SEPTEMBER 9, 2022

One of the most popular and rapidly expanding tech career paths is Data Science. Making judgments and predictions via Machine Learning, prescriptive analytics, and predictive causal analysis is the major application of Data Science. What is Data Science? . Requirement for Data Science .

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

AltexSoft

DECEMBER 21, 2021

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. What is data labeling? Source: GitHub.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

ProjectPro

AUGUST 9, 2021

Table of Contents Why Learn Python for Data Science? Top 20 Python Projects for Data Science Getting Started with Python for Data Science FAQs about data science projects Why Learn Python for Data Science? We need to normalise the data and make it uniform throughout.

Data Science 52

Data Science Python Project Datasets 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. But yes, there is definitely no other alternative to data science and machine learning projects. Why you need machine learning datasets?

Datasets 40

Datasets Machine Learning Retail Banking 40

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Knowledge Hut

JANUARY 25, 2024

In the world of data science, keeping our data clean is a bit like keeping our rooms tidy. Just as a messy room can make it hard to find things, messy data can make it tough to get valuable insights. That's why data cleaning techniques and best practices are super important. What is Data Cleaning?

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

The Modern Data Company

JANUARY 22, 2024

This capability is instrumental in meeting the analytical demands of various data applications, including analytics, business intelligence (ABI), and data science. Cloud data integration mastery Modern also stands out for its proficiency in migrating and modernizing data workloads in the public cloud.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Knowledge Hut

APRIL 22, 2024

Anyone aspiring to be a data scientist, machine learning engineer, or software developer must have thought about learning Python. Python is a well-known, simple-to-learn programming language with a growing user base. Data science , machine learning, and game design are just a few of the fields where it is used.

Python 98

Python Programming Language Data Science Programming 98

Snowflake

DECEMBER 18, 2023

Historically, only a few AI experts within an organization could develop insights using machine learning (ML) and predictive analytics. Yet in this new wave of AI, democratizing ML to more data teams is crucial—and for Snowflake SQL users, it’s now a reality.

SQL 91

SQL Retail Manufacturing Python 91

Knowledge Hut

NOVEMBER 19, 2023

AI as a Career Choice The development of Artificial Intelligence (AI) offers a promising career option for those interested in understanding how technology can assist with data and problem resolution. Job Titles That Follow: Positions like Big Data Engineer, Data Architect, Data Scientist etc.

Computer Science 52

Computer Science Programming Language Machine Learning Business Intelligence 52

Knowledge Hut

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 That’s where data engineers are on the go. Collaborate with data scientists to implement and optimize machine learning models.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JANUARY 24, 2023

A survey by O’Reilly in 2020 found that Amazon Sagemaker is the second most used machine learning platform after Tensorflow. With over 100,000 active users globally, Amazon SageMaker has quickly become a go-to tool for companies looking to incorporate machine learning into their products or services.

Building 52

Building Algorithm Machine Learning AWS 52

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Machine Learning 81

Machine Learning Data Science Data Pipeline Raw Data 81

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. What is hotel price prediction?

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 83

Engineering Raw Data Data Science Scala 83

RandomTrees

FEBRUARY 6, 2024

Over the years, the field of data engineering has seen significant changes and paradigm shifts driven by the phenomenal growth of data and by major technological advances such as cloud computing, data lakes, distributed computing, containerization, serverless computing, machine learning, graph database, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

JUNE 16, 2023

You can enroll in a Data Science Certified course to learn in depth about these tools. In this blog, we'll explore the 10 best deep learning tools you should master in 2023 to stay ahead of the curve and make the most of this exciting technology. What Is Deep Learning? Keep reading to know more. TensorFlow.js

Deep Learning 52

Deep Learning BI Machine Learning Data Science 52

Knowledge Hut

DECEMBER 26, 2023

In the world of IT, every small bit of data count; even information that looks like pure nonsense has its significance. So, how do we retrieve the significance from this data? This is where Data Science and analytics comes into the picture. For more information o n Data Science, check out Data Science training classes.

Certification 52

Certification Data Analytics BI AWS 52

Knowledge Hut

DECEMBER 7, 2023

Data Preprocessing: Prepare and clean the data. This may include handling missing values, outliers, and transforming the data into a format suitable for AI algorithms. Model Selection: Choose the appropriate AI algorithm or framework that aligns with the project's objectives.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

AltexSoft

AUGUST 25, 2021

Natural language processing or NLP is a branch of Artificial Intelligence that gives machines the ability to understand natural human speech. But today’s programs, armed with machine learning and deep learning algorithms, go beyond picking the right line in reply, and help with many text and speech processing problems.

Process 139

Process Deep Learning Datasets Machine Learning 139

AltexSoft

JUNE 21, 2023

We also investigate predicting ADR through machine learning and strategies to enhance this KPI. This is where the power of machine learning comes into play, utilizing ADR for hotel price prediction tasks. What is ADR? ADR , in the hospitality industry, stands for the average daily rate. Sounds great, right?

Hospitality 52

Hospitality Management Machine Learning Datasets 52

U-Next

SEPTEMBER 22, 2022

Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. . Data from the past is commonly used in predictive analytics models and variables. Based on the common attributes of the data, this model nests them together. Types Of Predictive Models . Clustering Model .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Given enough training data, machine learning models can smoothly solve challenging problems.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Striim

JULY 10, 2023

By LLM we of course mean Large Language Models, you know, where you get a human like response to a human like question from a machine. A world where the machines learn (ML) and get smarter at making predictions that help us. Sure, AI teaches itself from legacy and new data oceans. Or it’s pretty much that.

Medical 40

Medical Machine Learning Data Lake Algorithm 40

ProjectPro

SEPTEMBER 26, 2021

The Big Data industry will be $77 billion worth by 2023. According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

AltexSoft

JUNE 14, 2021

This is possible because their machine learning model is retrained almost daily. On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. You’ll need a data engineering team for that.

Insurance 88

Insurance Medical Machine Learning Algorithm 88

AltexSoft

NOVEMBER 15, 2022

To determine when occupancy will be higher and when lower and what prices should be considered for a given period, you can take advantage of machine learning powered by data. Dataset preparation and construction. The starting point of any machine learning task is data. A lot of data, to be exact.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

ProjectPro

JULY 17, 2021

AI Engineer works with Machine Learning and Artificial Intelligence techniques, such as Neural Networks, Natural Language Processing, etc., Data Science is integral to the job responsibilities assigned to an AI Engineer. Machine Learning is one of the most important technologies in AI.

Engineering 40

Engineering Machine Learning Data Science Algorithm 40

Knowledge Hut

DECEMBER 27, 2023

Roles & Responsibilities Data analysis: Analyzing data to gain insights and make recommendations. Data preparation: Preparing data so that it can be used by other analysts and decision-makers. Data visualization: Visualizing data in a way that makes it easy to understand and use.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52