Knowledge Hut

FEBRUARY 1, 2024

Content-based movie recommendation system algorithms use the similarities between movies to recommend new movies to users, while collaborative filtering utilizes other users' overlapping movie ratings to generate recommendations. How is Netflix using Machine Learning?

Systems 98

Systems Entertainment Datasets Algorithm 98

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. Due to the immense value of data, Data Science has become increasingly popular over time. Deep learning: What is it?

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

ProjectPro

JUNE 18, 2021

SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis. It contains a wide range of supervised and unsupervised learning algorithms that work on a consistent Python interface. Weka is an open-source machine learning library for Java.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

JUNE 9, 2021

Wikipedia defines data science as an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data and apply knowledge and actionable insights from data across a broad range of application domains. SQL is a very much needed skill.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

OCTOBER 18, 2021

Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). Machine Learning frameworks like Scikit-learn and TensorFlow can help you in this project.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

DECEMBER 17, 2021

And, scientists working at various pharmaceutical companies are thus trying to utilize artificial intelligence technology for improving its diagnosis so that medical practitioners can save many more human lives. Your task is to train a deep learning model to identify the polyp regions from the test images.

Data Science 52

Data Science Medical Datasets Machine Learning 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

MAY 30, 2024

Big Data Analytics in the Industrial Internet of Things 4. Machine Learning Algorithms 5. Data Mining 12. This field allows you to transform the enormous amounts of data produced by IoT devices into insightful knowledge that has the potential to change how large-scale industries work. Digital Image Processing: 6.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

ProjectPro

APRIL 20, 2017

Build an Awesome Job Winning Project Portfolio with Solved End-to-End Big Data Projects What will you learn from this big data hadoop project? Problem Statement In this Hadoop project, you can utilize the Yelp Dataset and implement data engineering techniques in Hadoop to learn storage, processing, and fetching datasets.

Hadoop 40

Hadoop Big Data Coding Project 40

Knowledge Hut

MAY 23, 2024

This tool can work in close tandem with other products like Search Console, Google Ads, and Data Studio, which makes it a widespread option for anyone using leveraging different Google products. Through Google Analytics, data scientists and marketing leaders can make better marketing decisions. Multipurpose Data science Tools 4.

Data Science 52

Data Science MongoDB Programming Language Unstructured Data 52

Knowledge Hut

SEPTEMBER 6, 2023

As we all know Data Science is the most demanding job in the IT industry, today tons of data is created by just a single click, hence it is extremely important that this data is properly tailored and utilized to make viable business decisions. You will learn about Python, SQL, statistical modeling and data analysis.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

JANUARY 18, 2024

Data Science initiatives from an operational standpoint help organizations optimize various aspects of their business, such as supply chain management , inventory segregation, and management, demand forecasting, etc. SQL for data migration 2. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Edureka

FEBRUARY 27, 2023

However, data warehouses can be difficult and expensive to maintain, and they can become stale if not regularly updated with new data. Data Mining: Data mining extracts valuable information from large data sets. It can improve efficiency by automating report generation and data analysis tasks.

Business Intelligence 52

Business Intelligence BI Data Mining Data Warehouse 52

AltexSoft

JULY 27, 2021

These days, the true power of customer experience personalization can be realized with the help of machine learning. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. But such data is more accurate.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Typically, data science projects involve using an abundance of ls (eg. Gets slow when working on heavy Deep Learning Algorithms 2. Platform H2O.ai

Data Science 52

Data Science Google Cloud AWS Programming Language 52

ProjectPro

MARCH 17, 2014

Big data analytics drives innovations by helping organizations make best possible decisions through –high performance data mining, predictive analytics, text mining, social sentiment analysis, text mining, forecasting and optimization.

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

AltexSoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Concepts of deep learning can be used to analyze this dataset properly.

Big Data 52

Big Data Coding Project Hadoop 52