Towards Data Science

AUGUST 29, 2023

Today, we will delve into the intricacies the problem of missing data , discover the different types of missing data we may find in the wild, and explore how we can identify and mark missing values in real-world datasets. Image by Author. Let’s consider an example. Image by Author. Image by Author.

Datasets 104

Datasets Machine Learning Data Data Science 104

Knowledge Hut

JANUARY 11, 2024

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. These tools also assist in defining personalized medications for patients reducing operating costs for clinics and hospitals.

Data Science 98

Data Science Transportation Hospitality Banking 98

AltexSoft

APRIL 27, 2023

This phase involves numerous clinical trial systems and largely relies on clinical data management practices to organize information generated during medical research. How could data analytics boost this process? Obviously, precision medicine requires a large amount of data and is enabled by advanced ML models.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Knowledge Hut

JULY 28, 2023

Parameters Machine Learning (ML) Deep Learning (DL) Feature Engineering ML algorithms rely on explicit feature extraction and engineering, where human experts define relevant features for the model. DL models automatically learn features from raw data, eliminating the need for explicit feature engineering. What is Machine Learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

MAY 31, 2023

These projects typically involve a collaborative team of software developers, data scientists, machine learning engineers, and subject matter experts. The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

JULY 26, 2023

Consider exploring relevant Big Data Certification to deepen your knowledge and skills. What is Big Data? Big Data is the term used to describe extraordinarily massive and complicated datasets that are difficult to manage, handle, or analyze using conventional data processing methods.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

AltexSoft

MAY 12, 2022

Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. Another application of musical audio analysis is genre classification: Say, Spotify runs its proprietary algorithm to group tracks into categories (their database holds more than 5,000 genres ).

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

DECEMBER 26, 2023

What i s Data Science and Why is it Important? Data Science is the study of extracting insights from massive amounts of data using various scientific approaches, processes and algorithms. The development of big data, data analysis, and quantitative statistics has given rise to the term "data science."

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Healthcare: Medical Science involves a huge deal of technology, from medical research to operational equipment production.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

DECEMBER 21, 2023

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing Cloud computing research topics are getting wider traction in the Cloud Computing field. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

ProjectPro

DECEMBER 9, 2021

Generator Network ( Source ) As shown in the figure above, this generated image is fed to the Discriminator network as training data with fake labels. For true labels, the Discriminator model uses the raw input images from the MNIST dataset. We recommend using Anime Face Dataset.

Project 52

Project Medical Datasets Deep Learning 52

Knowledge Hut

NOVEMBER 16, 2023

Data Collection and Preparation To create effective Generative AI models, you should start by gathering a good dataset that matches your project's needs. Make sure the dataset is big enough to train a strong model. Let me help you with an in-depth overview of how to develop Generative AI models.

Medical 52

Medical Datasets Healthcare Deep Learning 52

Knowledge Hut

FEBRUARY 28, 2024

To analyze big data, we require sophisticated software and dedicated databases. It involves extracting valuable insights from these massive datasets to gain a competitive advantage. Once we manage to harness it correctly, the future of big data is undeniable. And AI-powered algorithms are the best at this.

Big Data 52

Big Data Cloud Storage Healthcare SQL 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Possible Careers: Data analyst Marketing analyst Data mining analyst Data engineer Quantitative analyst 3.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JANUARY 31, 2023

Overfitting occurs when an ML model yields accurate results for training examples but not for unseen data. It can be prevented in many ways, for instance, by choosing another algorithm, optimizing the hyperparameters, and changing the model architecture. Table of Contents What is Data Augmentation in Deep Learning?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Knowledge Hut

DECEMBER 7, 2023

AI has a plethora of uses, including chatbots, recommendation engines, autonomous cars, and even medical diagnosis. Data Collection: Gather the necessary data that the AI model will use for learning and making predictions. The quality and quantity of data are crucial to the model's performance.

Machine Learning 52

Machine Learning Algorithm Medical Government 52

Edureka

AUGUST 2, 2023

What does a Data Processing Analysts do ? A data processing analyst’s job description includes a variety of duties that are essential to efficient data management. They must be well-versed in both the data sources and the data extraction procedures.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

AltexSoft

JUNE 16, 2022

Various machine learning models — whether these are simpler algorithms like decision trees or state-of-the-art neural networks — need a certain metric or multiple metrics to evaluate their performance. The first ones involve data collection and preparation to ensure it’s of high quality and fits the task. What does it show?

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

ProjectPro

NOVEMBER 18, 2021

Analysis of Big data also helps them understand new item sales, make decisions on discontinuing products, and the performance of brands. Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available.

Data Science 52

Data Science Project Food Pharmaceutical 52

AltexSoft

MARCH 22, 2022

There are several key reasons, a business may consider using synthetic data: Cost and time efficiency. Synthetic data maybe way cheaper to generate than to collect from real world events, if you don’t have a proper dataset. Exploring rare data. The last one is specialized in medical synthetic data.

Machine Learning 52

Machine Learning IT Medical Insurance 52

ProjectPro

AUGUST 16, 2021

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

U-Next

AUGUST 26, 2022

Data Analytics Illustration. Organizations may alter their company and environment electronically via the use of Data Analytics, rendering them more creative and forward in their judgment call. Through the use of advanced equipment, medications, etc., Components of Business Analytics/Data Analytics. Predictive Analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

ProjectPro

JUNE 2, 2015

May 26, Wall Street Journal: “Big Data Brings Relief to Allergy Medicine Supply Chains” Bayer AG a manufacturer of the allergy drug Claritin is using big data to get ahead of the seasonal trends. May 6, UK IT News V3.co.uk We should be able to read the signals customers are giving us to figure out what they want.

Big Data 40

Big Data Hadoop Banking Retail 40