Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Finally, make data visualizations to display your project's results and construct a website to showcase your work, whether it's a portfolio or a personal site.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

NOVEMBER 27, 2023

Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. Learn about Dataframes, Pandas, and Numpy to begin with.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Design NLP-based applications to solve customer needs.

Coding 52

Coding Project Deep Learning Algorithm 52

Knowledge Hut

JUNE 20, 2023

It is used to develop algorithms and applications to make computers understand, interpret and generate human language. Natural Language Processing Engineer A Natural Language Processing engineer develops and implements algorithms and models to enable machines to understand and generate human language.

Process 52

Process Computer Science Algorithm Education 52

Knowledge Hut

DECEMBER 27, 2023

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. Atherosclerosis, cancers, organ delineation, and other disorders can all be identified from photos using data science and machine learning. Analyzing medical images is one of them.

Data Science 52

Data Science Medical Manufacturing Transportation 52

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. Interact with the data scientists team and assist them in providing suitable datasets for analysis. That needs to be done because raw data is painful to read and work with.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

DECEMBER 10, 2021

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

AUGUST 13, 2021

Face Detection Kaggle Machine Learning Projects on GitHub 1. COVID-19 Dataset Analysis and Prediction 5. House Price Prediction Open Source Machine Learning Projects on GitHub 1. This application of machine learning algorithms has changed the game for many businesses. Classification System 4. Sentiment Analysis 5.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Apart from that, libraries like ggplot, reshape2, data.table will complement your machine learning project. Dummy datasets like univariate time-series datasets, shampoo sales datasets, etc.,

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

DECEMBER 9, 2021

For true labels, the Discriminator model uses the raw input images from the MNIST dataset. We recommend using Anime Face Dataset. The most popular GAN architecture used for this task is DCGAN or Deep Convolutional GAN. You can use the CelebFaces Attributes (CelebA) Dataset for training the model.

Project 52

Project Medical Datasets Deep Learning 52

ProjectPro

JULY 19, 2021

Computer Vision Engineer Interview Questions on Deep Learning: Convolutional Neural Network 1) Explain with an example why the inputs in computer vision problems can get huge. 12) Suggest a way to train a convolutional neural network when you have a quite small dataset. Provide a solution to overcome this challenge.

Engineering 40

Engineering Deep Learning Algorithm Machine Learning 40

ProjectPro

NOVEMBER 24, 2021

Knowledge of machine learning algorithms and deep learning algorithms. Experience in handling large datasets and drawing meaningful conclusions from them. Recommended Reading: 50 ML Projects To Strengthen Your Portfolio and Get You Hired FAQs on Learning Data Science Is data science a hard job?

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

ProjectPro

FEBRUARY 11, 2021

(2023 Update) Machine Learning Engineer – The Hype is Real 2) What is a machine learning engineer? How to become a machine learning engineer at Google? They are responsible for the end-to-end implementation and optimization of machine learning algorithms. The job of a data scientist is exploratory.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

JULY 23, 2021

Orchestrate Redshift ETL using AWS Glue and Step Functions AWS Projects for Portfolio 17. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. You can use AWS cloud with nearest neighbor algorithms to work on this project. It includes built-in algorithms that do not need label data.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

AltexSoft

SEPTEMBER 19, 2023

External travel data sources and providers External data encompasses all types of information and datasets created outside a company and existing beyond its direct control, ownership, or management. For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

ProjectPro

AUGUST 16, 2021

FAQs on Data Mining Projects 15 Top Data Mining Projects Ideas Data Mining involves understanding the given dataset thoroughly and concluding insightful inferences from it. Often, beginners in Data Science directly jump to learning how to apply machine learning algorithms to a dataset.

Data Mining 40

Data Mining Coding Project Datasets 40

ProjectPro

AUGUST 28, 2021

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems.

Portfolio 52

Portfolio Project Datasets Algorithm 52

Databand.ai

DECEMBER 13, 2022

Currently, Charles works at PitchBook Data and he holds degrees in Algorithms, Network, Computer Architecture, and Python Programming from Bradfield School of Computer Science and Bellevue College Continuing Education. Furthermore, he is experienced in most types of datasets having built deep learning models in NLP, CV, and RL tasks.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JULY 28, 2021

Data analytics combined with machine learning algorithms and Artificial Intelligence (AI) technologies predict the data patterns and trends in these applications, and there is no surprise that Google has mastered it. What are the essential qualities and features of an algorithm? Explain anomaly detection methods and techniques.

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

ProjectPro

APRIL 12, 2021

Deep learning job interviews. Most beginners in the industry break out in a cold sweat at the mere thought of a machine learning or a deep learning job interview. How do I prepare for my upcoming deep learning job interview? What kind of deep learning interview questions they are going to ask me?

Deep Learning 40

Deep Learning Datasets Machine Learning Algorithm 40

ProjectPro

FEBRUARY 19, 2021

Therefore, it is necessary to detect them early on or use algorithms resistant to outliers. The equation for polynomial regression would obviously be a multinomial one: y = a + bX + cX 2 + dX 3 …… Before we go any further, let me introduce a concept called loss function, used to assess the usefulness of our regression algorithm.

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

ProjectPro

APRIL 6, 2021

Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve. Yann Le Cunn’s Convolutional Neural Network (something we’ll explore later in the article) still remains the backbone of computer vision algorithms.

Deep Learning 40

Deep Learning Python Medical Datasets 40

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

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

OCTOBER 27, 2021

The huge volumes of financial data have helped the finance industry streamline processes, reduce investment risks, and optimize investment portfolios for clients and companies. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

JANUARY 24, 2023

They have developed a product called "SiteEye," which uses cameras and machine learning to monitor construction sites in real-time to detect and alert workers about potential hazards. To build and deploy their machine learning models, DeepVision used Amazon SageMaker. Amazon S3 is also used to store model artefacts and predictions.

Building 52

Building Algorithm Machine Learning AWS 52

ProjectPro

JUNE 14, 2021

-A mostly complete chart of neural networks is here- Understand the idea behind the neural network algorithm, the definition of a neural network, the mathematics behind the neural network algorithm, and the different types of neural networks to become a neural network pro. Let's Have Some Fun Before That.Game Time!

Algorithm 52

Algorithm Datasets Machine Learning Deep Learning 52

ProjectPro

AUGUST 5, 2021

If you are looking to break into AI and don’t have a professional qualification, the best way to land a job is to showcase some interesting artificial intelligence projects on your portfolio or show your contributions to open-source AI projects. You can use the Resume Dataset available on Kaggle to build this model.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 24, 2021

Explore different types of Data Formats: A data engineer works with various dataset formats like.csv,josn,xlx, etc. They are also often expected to prepare their dataset by web scraping with the help of various APIs. The Yelp dataset, which is used for academic and research purposes, is processed here.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JANUARY 25, 2022

Furthermore, PySpark allows you to interact with Resilient Distributed Datasets (RDDs) in Apache Spark and Python. Because of its interoperability, it is the best framework for processing large datasets. Spark Conf SparkConf helps establish a few setups and parameters to execute a Spark application on the local cluster or a dataset.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

JANUARY 18, 2024

The insights that are generated through this process of Data Science can enable businesses to identify new opportunities, increase operational efficiency and effectiveness, improve their current strategies to grow their portfolio, and strengthen their position in the market. SQL for data migration 2.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Pinterest Engineering

SEPTEMBER 5, 2023

In 2021, ML was siloed at Pinterest with 10+ different ML frameworks relying on different deep learning frameworks, framework versions, and boilerplate logic to connect with our ML platform. The nuances of the underlying deep learning framework needs to be considered in order to build a high-performance ML system.

Engineering 92

Engineering Deep Learning Architecture Project 92

ProjectPro

AUGUST 2, 2021

This process is almost indispensable even for more complex algorithms like Optical Character Recognition, around which companies like Microsoft have built and deployed entire products (i.e., Alternatively, you could attempt to implement other Grayscaling algorithms like the Lightness and the Average Method. Microsoft OCR).

Coding 40

Coding Python Process Project 40

ProjectPro

APRIL 1, 2021

Database Querying Language - SQL Math and Statistic Concepts Machine Learning and Deep Learning Concepts Data Wrangling Data Visualization Model Building and Deployment Software Engineering Know-how of popular deep learning frameworks like PyTorch, TensorFlow, and others. Recommended Reading.

Data Science 40

Data Science Telecommunication Algorithm Machine Learning 40

ProjectPro

FEBRUARY 1, 2022

Feature Engineering — Talk about the approach you took to select the essential features and how you derived new ones by adding more meaning to the dataset flow. Since this is a classification problem, I will check the prediction using the Decision trees and Random forest as this algorithm tends to do better for classification problems.

Data Science 52

Data Science Datasets Banking Machine Learning 52

AltexSoft

AUGUST 27, 2022

So, it comes as no surprise that all large biopharma companies are investing in AI, particularly in deep learning , which has the potential to make the hunt for drugs cheaper, faster, and more precise. It’s worth noting that regulatory bodies treat the use of machine learning in healthcare with caution. Source: Deloitte.

Medical 52

Medical Deep Learning Algorithm Machine Learning 52