ProjectPro

JUNE 6, 2025

Moreover, the drag-and-drop interface makes it easy for a data analyst to modify computations and analyze various scenarios. Integration with machine learning algorithms - the KNIME Analytics Platform can integrate with various open-source initiatives, including H2O, ScikitLearn , and Keras machine learning algorithms.

Data Analysis Tools

ProjectPro

JUNE 6, 2025

Explore Data and Train Models This aspect evaluates a candidate's capability to perform data exploration, data preparation, and model training using Azure tools. Data exploration involves gaining insights into the data, identifying patterns, handling missing values, and performing feature engineering.

Data Science

ProjectPro

JUNE 6, 2025

Table of Contents Data Science Roles - The Growing Demand Data Science Roles - Top 4 Reasons to Choose Choosing data science as a career serves several benefits: Top 15 Highest Paying Data Science Roles How to Land a Job in Data Science Without having a Degree? Interested in Data Science Roles ?

Data Science

ProjectPro

JUNE 6, 2025

Dataset : NOAA Climate Data Skills Developed : Weather data analysis Predictive modeling with Azure ML Studio Visualizing forecasts with Power BI 8) Apple Health Data Exploration Healthcare providers and fitness apps can use Apple Health data to deliver personalized recommendations, track health trends, and improve user engagement.

Data Engineering

ProjectPro

JUNE 6, 2025

AWS Machine Learning Specialty Certification gives you the knowledge to turn your wildest imaginations into reality. You, being a certified AWS Machine Learning expert, can help healthcare providers predict disease outbreaks before they happen, potentially saving countless lives.

Machine Learning

ProjectPro

JUNE 6, 2025

To define the role of a Machine Learning Engineer , they are the professionals who go one step ahead to push or integrate the machine learning model into a system and bring it into an existing production environment. Master Data Engineering at your Own Pace with Project-Based Online Data Engineering Course !

Machine Learning

ProjectPro

JUNE 6, 2025

Pattern Recognition: Through training, models learn to recognize complex patterns, relationships, and trends within the data that may be imperceptible to humans. This ability to extract valuable insights is crucial in various domains, from healthcare to finance. So, keep reading for the next installment of our journey!

Machine Learning

ProjectPro

JUNE 6, 2025

Conversational AI Llama2 can be deployed as a chatbot or virtual assistant for conversational interfaces in various domains, including customer service, healthcare, and education. Sample Project Idea: llama2-deep-learning-expert-colab 6. These projects are invaluable resources for anyone looking to upskill or learn from scratch.

Architecture

ProjectPro

JUNE 6, 2025

This phase includes data cleaning (removing duplicates or erroneous values), data transformation (changing formats or units), and handling missing values. Performing these data preparation steps is crucial for accurate model training. With these Data Science Projects in Python , your career is bound to reach new heights.

Machine Learning

ProjectPro

JUNE 6, 2025

Factor #1: Self-Assessment of Skills and Goals Before diving into machine learning certifications, assessing your existing skills and determining your goals is essential. Ask yourself what specific areas of machine learning you want to specialize in or improve upon.

Machine Learning

ProjectPro

JUNE 6, 2025

Creating Many-to-One LSTM : This project highlights how defining a clear purpose (sequence analysis for single output prediction) and using many-to-one LSTM architectures can effectively handle time-series or sequential data tasks. If your agent handles natural language, tools like Hugging Face Transformers or LangChain might be ideal.

Building

ProjectPro

JUNE 6, 2025

It follows 10 structured steps covering data preparation, embedding creation, vector search, and AI response generation. Project Idea: This solution is a step-by-step guide to smoothly deploying the Llama2-based vacation planning assistant project on AWS SageMaker using Deep Learning Containers (DLC).

Project

ProjectPro

JUNE 6, 2025

Data Science is integral to the job responsibilities assigned to an AI Engineer. The job of an AI Engineer comes with many responsibilities, including data preparation , AI programming, algorithm design, data analytics, and a lot more. Machine Learning is one of the most important technologies in AI.

Engineering

ProjectPro

JUNE 6, 2025

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

ProjectPro

JUNE 6, 2025

The data is present in the form of text and needs to be pre-processed and you can use the NLTK Python library for this data preparation process. 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.

Project

ProjectPro

JUNE 6, 2025

Table of Contents Why learn Artificial Intelligence with Python? How to Start Learning AI with Python? These domains include: Data Preprocessing or Data Preparation lays the foundation by cleaning, transforming, and organizing raw data, ensuring it's ready for analysis and model training.

Python

KDnuggets

JULY 7, 2025

I have given a few resources that might help you learn NLP: Coursera: DeepLearning.AI Natural Language Processing Specialization - Focuses on NLP techniques and applications (Recommended) Stanford CS224n (YouTube): Natural Language Processing with Deep Learning - A comprehensive lecture series on NLP with deep learning.

Machine Learning

AltexSoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects. Speech recognition.

Machine Learning

Knowledge Hut

DECEMBER 22, 2023

The renowned AI-powered virtual nurses “Molly” and “ Angel ”, have taken healthcare to new heights and robots have already been performing various surgical procedures. Dynamic technologies like data science and AI have some intriguing data science trends to watch out for, in 2024. What’s new for Deep Learning in 2024?

Data Science

AltexSoft

MAY 27, 2022

Healthcare facilities and insurance companies would give a lot to know the answer for each new admission. This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The built-in algorithm learns from every case, enhancing its results over time.

Hospitality

Knowledge Hut

MAY 2, 2024

It means computers learn and there are many concepts, methods, algorithms and processes involved in making this happen. Let us try to understand some of the more important machine learning terms. Three concepts – artificial intelligence, machine learning and deep learning – are often thought to be synonymous.

Machine Learning

AltexSoft

NOVEMBER 17, 2021

For instance, the healthcare industry still deals with paper documents. But some healthcare organizations like FDA implement various document classification techniques to process tons of medical archives daily. An example of document structure in healthcare insurance. Source: affine.ai. Document and text digitization with OCR.

Machine Learning

AltexSoft

DECEMBER 15, 2021

Namely, AutoML takes care of routine operations within data preparation, feature extraction, model optimization during the training process, and model selection. To grasp how DevOps principles can be integrated into machine learning, read our article on MLOps methods and tools. Healthcare: identifying transplant candidates.

Machine Learning

Knowledge Hut

MAY 9, 2024

Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs.

Data Science

Edureka

JULY 16, 2024

Machine Learning in AWS SageMaker Machine learning in AWS SageMaker involves steps facilitated by various tools and services within the platform: Data Preparation: SageMaker comprises tools for labeling the data and data and feature transformation. FAQs What is Amazon SageMaker used for?

AWS

Edureka

JUNE 12, 2024

Azure’s AI services enable a wide range of AI capabilities, from machine learning and deep learning to natural language processing and computer vision. Azure provides a powerful platform for building intelligent applications using advanced analytics, machine learning, and artificial intelligence.

Machine Learning

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Given enough training data, machine learning models can smoothly solve challenging problems.

Deep Learning

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

Knowledge Hut

NOVEMBER 17, 2023

AutoAugment: This is a technique that automatically searches for the best data augmentation techniques for a given dataset. Self-driving Cars: It is being used to develop machine learning models that can be used to train self-driving cars to recognize objects on the road and to make decisions about how to navigate.

Machine Learning

ProjectPro

DECEMBER 16, 2021

To define the role of a Machine Learning Engineer , they are the professionals who go one step ahead to push or integrate the machine learning model into a system and bring it into an existing production environment. With the emerging big data revolution, the demand for data scientists and Machine Learning Engineers is ever increasing.

Machine Learning

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

ProjectPro

JULY 17, 2021

Data Science is integral to the job responsibilities assigned to an AI Engineer. The job of an AI Engineer comes with many responsibilities, including data preparation , AI programming, algorithm design, data analytics, and a lot more. Machine Learning is one of the most important technologies in AI.

Engineering

AltexSoft

DECEMBER 21, 2021

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. Well… It’s kind of far from the truth.

Machine Learning

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

Edureka

FEBRUARY 12, 2025

Data Preparation Use a dataset such as MNIST: transform = transforms.Compose([transforms.ToTensor(), transforms.Lambda(lambda x: x.view(-1))]) mnist = datasets.MNIST(root='./data', data', train=True, download=True, transform=transform) dataloader = DataLoader(mnist, batch_size=64, shuffle=True) 5.

Architecture

AltexSoft

MAY 12, 2021

Despite the focus on pulmonology, our survey touches on common questions of computer vision in healthcare. Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions.

Medical

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. These datasets offer opportunities to analyze, manipulate, and extract insights from real data, preparing you for real-world scenarios.

Data Science