U-Next

SEPTEMBER 23, 2022

Data aggregation and data mining are two essential techniques used in descriptive analytics to analyze historical data and find patterns and trends. It offers data that makes it easier to comprehend how the company is doing on a global scale. To answer the very basic questions like what is Business Analytics?

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

Knowledge Hut

JANUARY 18, 2024

Gather information Cleanse and process the data Data integration and storage Data exploration and exploratory data analysis Select one or more possible models and algorithms. Make use of data science techniques such as machine learning, statistical modeling, and artificial intelligence. Clean up the data.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

Knowledge Hut

DECEMBER 6, 2023

Post-graduation in Machine Learning Data Science or Business Analytics: These are the hot sellers or takers in the data scientist field. You can opt for post-graduation programs and get qualified for trending fields like artificial intelligence, machine learning , and deep learning.

Engineering 52

Engineering Computer Science Programming Language Education 52

U-Next

AUGUST 11, 2022

The present era is truly the golden age of technology. The only differentiators are ‘Consciousness’ and ’emotionality,’ being present only in the latter. Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Introduction. ML And AI Are The Future.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

JULY 31, 2023

Product Advertising Recommendation in E-commerce Based on Deep Learning and Distributed Expression Objective of the Paper: This paper helps explore and develop a sophisticated recommendation system for product advertising by utilizing deep learning techniques and distributed expression methods. Why Choose this Paper?

Electronics 52

Electronics Deep Learning Big Data Data Analytics 52

U-Next

AUGUST 25, 2022

Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. Matplotlib.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

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.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

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

Knowledge Hut

JANUARY 19, 2024

Deep dive into data science concepts, covering subjects such as follows: Subject Name Information Statistics and Probability The fundamentals of probability and statistical science, including basics of linear algebra. Data Manipulation Techniques to organize and present data meaningfully.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

OCTOBER 16, 2021

Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms. When using deep learning algorithms , most people believe that they need highly advanced and expensive computer systems. But this problem was solved to an extent by the introduction of a deep learning framework, TensorFlow.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. A data scientist may not always be presented with a business problem to solve. Still, they must constantly analyze big data and develop new ways to process and organize data to make sense of it.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 6, 2023

Tools, computer languages, and methods for data analysis that are applicable to industry are introduced to students. The program covers topics such as Data Analysis and Visualization, Machine Learning and Deep Learning, Big Data Technologies , Statistical Methods for Data Science, Natural Language Processing and Data Preprocessing.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

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

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. The sentiment classification algorithm examines the phrases in each mobile user’s remark on a particular product and begins matching them with phrases already present in the databases.

Project 40

Project Engineering Medical Healthcare 40

ProjectPro

JULY 21, 2021

All the numbers presented above suggest that there will be a huge demand for people who are skilled at implementing AI-based technologies. Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

AUGUST 13, 2021

We have presented a list of top machine projects on Github that utilise the datasets for Kaggle for implementing a machine learning project idea. Neural Networks Neural networks are one of the most widely used Machine Learning models by Data Scientists. It is an excellent framework for executing deep learning projects.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

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

ProjectPro

DECEMBER 21, 2021

Data Engineer Data engineers develop and maintain the data platforms that machine learning and AI systems rely on. Their primary task is to create information systems for the following purposes- data acquisition, data process development, data conversion, data mining, and data pattern discovery, etc.

Machine Learning 52

Machine Learning Engineering Algorithm Data Science 52

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

Project 40

Project Deep Learning Datasets Medical 40

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

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Cybersecurity vs Data Science: Career Data science vs cybersecurity careers, well, both provide good employment options.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

DECEMBER 17, 2021

So, the goal is to use phase-contrast microscopy images and detect the neuronal cells with a high level of accuracy through deep learning algorithms. This challenge is about implementing deep learning object detection models over the thousands of images collected by the underwater camera.

Data Science 52

Data Science Medical Machine Learning Datasets 52

U-Next

DECEMBER 2, 2022

As Earley, CEO of Earley Information Science, pointed out, it is our intention to encapsulate everything we know about the customer, the customer’s needs, our solutions, and our competitors, and then present to them what they need when they need it. What Is the Goal of Artificial Intelligence?: .

Management 40

Management Recruitment Finance Data Mining 40

Zalando Engineering

OCTOBER 17, 2016

We recently launched Zalando Research as a place where we can focus and conduct cutting edge research, as well as contribute actively to the research community in the areas of machine learning (ML), AI, natural language processing, and deep learning.

Data Mining 40

Data Mining Deep Learning Data Science Computer Science 40

Knowledge Hut

JANUARY 22, 2024

Require commitment of time for commuting and being physically present for classes and assignments. Consider your learning style, networking needs, schedule and budget when choosing between online or in-person data science courses. Students learn to build, train and optimize models using Python, R, TensorFlow and other libraries.

Data Science 52

Data Science Certification Education Programming 52

ProjectPro

NOVEMBER 3, 2021

If you are tired of googling how to become a freelance data scientist , you need to relax because your search is finally over. In this blog, we have presented a step by step guide for becoming a freelance data scientist and a quick and easy way of getting hired as a freelance data scientist.

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

ProjectPro

OCTOBER 28, 2021

Creating your dataset through data mining and implementing machine learning algorithms over them. Optimising the accuracy of a machine learning algorithm. Applying Exploratory Data Analysis techniques over the dataset to extract information from it. The project solutions are presented in a series of short videos.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

AUGUST 5, 2021

The data is present in the form of text and needs to be pre-processed. Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects 5. An object detection system can identify classes of objects present within an image. However, this data isn’t always easy to get.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

OCTOBER 18, 2021

Solved end-to-end Recommender System Projects with Source Code Machine learning for Retail Price Recommendation with Python Recommender System Machine Learning Project for Beginners-1 Expedia Hotel Recommendations Data Science Project 2. It uses deep learning algorithms to classify the list of songs to the smartphone user.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

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. Their job is to use this data to offer solutions to the organization as needed.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

ProjectPro

JANUARY 15, 2021

Download MVTec D2S Retail Dataset for Machine Learning Computer Vision Project Ideas using the MVTec D2S Dataset This retail dataset can be used for semantic image segmentation to cover the real-world application of an automatic checkout, warehouse, or stock inventory system. million diagnosed breast cancer cases in 2018.

Machine Learning 40

Machine Learning Datasets Retail Banking 40

ProjectPro

FEBRUARY 1, 2022

A data science case study is an in-depth, detailed examination of a particular case (or cases) within a real-world context. Data Mining — How did you scrape the required data ? you set up to source your data. Q: How would I identify holidays in the historical data provided?

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

AUGUST 24, 2021

Source Code: Analyse Movie Ratings Data Unlock the ProjectPro Learning Experience for FREE 11) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc. You can decide the look of the website and present your projects. Keep your portfolio short and crisp.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

OCTOBER 29, 2021

How then is the data transformed to improve data quality and, consequently, extract its full potential? Data Preprocessing to the rescue! Table of Contents What is Data Preprocessing? This is why we will get back to the über important topic of improving data quality by preprocessing in the later section.

Data Mining 52

Data Mining Datasets Machine Learning Metadata 52

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist? What are Data Scientist roles?

Data Science 52

Data Science Retail Computer Science Entertainment 52

ProjectPro

JULY 30, 2021

So, check out the list of challenging machine learning projects below that will help you in upgrading your skillset. In this project, you will be introduced to different types of recommendation systems and learn how to build a recommendation system from scratch. To curate those suggestions list, these websites use recommender systems.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

SEPTEMBER 26, 2021

Presentation Skills: Big Data Engineers also present the data-driven findings to the internal and external stakeholders. You should have good presentation skills to engage the customers and stakeholders in your presentations. Liverpool and London are the cities with excessive demands for Big Data Engineers.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52