U-Next

FEBRUARY 26, 2023

with the help of Data Science. Data Science is a broad term that encompasses many different disciplines, such as Machine Learning, Artificial Intelligence (AI), Data Visualization, Data Mining, etc. Google has an entire division devoted to AI and Machine Learning: Google Brain.

Data Science 98

Data Science Machine Learning Consulting Food 98

ProjectPro

OCTOBER 26, 2021

TensorFlow It has a collection of pre-trained models and is one of the most popular machine learning frameworks that help engineers, deep neural scientists to create deep learning algorithms and models. MXNet MXNet is a choice of all Deep Learning developers. Pros of Using H2O H2O is customizable.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

Knowledge Hut

JANUARY 18, 2024

Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation. Know more about data science in healthcare.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Data science professionals are in high demand in areas such as banking, healthcare, and e-commerce. Companies in technology, banking, healthcare, and e-commerce.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

U-Next

AUGUST 25, 2022

Doing research in that field would be highly beneficial if you’re going for an MS in computer vision, deep learning, etc. An automatic health predictive model can change people’s attitudes toward their health and connect them promptly to the local healthcare professionals. iOS Development .

Project 40

Project Engineering Medical Healthcare 40

U-Next

SEPTEMBER 29, 2022

The algorithm includes a number of calculations necessary for AI and data mining assignments, such as bunching, relapse, and order. If you are just starting out in Machine Learning, Scikit-learn is a more-than-adequate tool until you start implementing increasingly complex calculations. . Tensorflow . Google ML Kit .

Management 52

Management Machine Learning Deep Learning Algorithm 52

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. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Databand.ai

DECEMBER 20, 2022

Eric is certified in Lean Six Sigma and experienced in Python, SQL, and machine learning. He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning. You can also check out his Medium page the boasts 7M+ views.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

U-Next

JULY 4, 2022

Therefore the demand for data scientists and other data science professionals is increasing. Anyone who desires to pursue a data scientist career path should have deep knowledge of mathematics, statistics, deep learning, artificial intelligence, machine learning, etc. Why is Data Science Important?

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

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). Patient's Sickness Prediction System Machine learning has been proven effective in the field of healthcare also.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

AUGUST 13, 2021

Project Idea: As a beginner in solving classification problems, you can work on a healthcare dataset. The objective of this project would be to analyse the biological data of patients and predict whether a patient will suffer from heart disease or not. It is an excellent framework for executing deep learning projects.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Knowledge Hut

NOVEMBER 28, 2023

Data scientists do more than just model and process structured and unstructured data; they also translate the results into useful strategies for stakeholders. The duties of a data scientist go beyond just processing and analyzing data. They also have a perfect command of statistical software and programming.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

ProjectPro

JANUARY 15, 2021

Where can I find datasets for machine learning? If you’re trying to learn machine learning , you need a strong foundation, which means interesting datasets for machine learning projects and some cool project ideas to work with these free datasets.

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

DECEMBER 22, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers Robert Half Technology survey of 1400 CIO’s revealed that 53% of the companies were actively collecting data but they lacked sufficient skilled data analysts to access the data and extract insights.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

SEPTEMBER 26, 2021

The sales and marketing strategies implemented today follow the data patterns and trends identified by data professionals. Similarly, the construction sector is using Big Data to anticipate the one-site risks, weather patterns, etc., IT, Retail, Sales & Marketing, Healthcare, Manufacturing, Education, etc.,

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

JULY 30, 2021

With so many companies gradually diverting to machine learning methods , it is important for data scientists to explore MLOps projects and upgrade their skills. In this project, you will work on Google’s Cloud Platform (GCP) to build an Image segmentation system using Mask RCNN deep learning algorithm.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

AUGUST 5, 2021

FastAI is an open-source library that allows users to quickly create and train deep learning models for various problems, including computer vision and NLP. You can build a traffic jam prediction model using deep learning techniques in Python. However, this data isn’t always easy to get.

Project 52

Project Datasets Deep Learning Machine Learning 52

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