Knowledge Hut

AUGUST 1, 2023

Ever wondered how machine learning can revolutionize the healthcare industry? Machine learning is a way in which artificial intelligence is used to train algorithms or computers. The latest developments have empowered these algorithms to prompt or better even to take actions, as needed.

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Knowledge Hut

NOVEMBER 19, 2023

Additionally, with the rise of machine learning models, programming robots to identify patterns and effectively apply what they learn has been a revolutionary breakthrough. This has given rise to machine learning for robotics, thus creating lucrative career options for candidates belonging to data science or computer science.

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Knowledge Hut

DECEMBER 21, 2023

Machine learning is a subset of artificial intelligence, which stresses the analysis and identification of patterns and structure of data interpretation. With the rising demand for machine learning technologies in almost all sectors, there is also a soaring need for experts who are skilled in this field.

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ProjectPro

JANUARY 31, 2023

Ever wondered how insurance companies successfully implement machine learning to expand their businesses? With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer.

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AltexSoft

JUNE 16, 2022

Choosing the machine learning path when developing your software is half the success. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. So, how would you measure the success of a machine learning model? So, how would you measure the success of a machine learning model?

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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. Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms.

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Knowledge Hut

JULY 28, 2023

On that note, let's understand the difference between Machine Learning and Deep Learning. Below is a thorough article on Machine Learning vs Deep Learning. We will see how the two technologies differ or overlap and will answer the question - What is the difference between machine learning and deep learning?

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U-Next

NOVEMBER 25, 2022

Introduction to Machine Learning and Big Data . Big Data and Machine Learning are one of the most crucial and irreplaceable technologies today. Machine Learning allows computers to learn from data automatically without being explicitly programmed. What Is Big Data? .

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AltexSoft

MAY 12, 2021

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. And machine learning techniques hold the potential of speeding up tumor localization dramatically.

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ProjectPro

OCTOBER 25, 2021

Will machine learning replace the jobs of doctors or instead give us better health in the coming years? Some researches and studies have shown that machines surpass humans in the diagnosis of diseases. No doubt, machine learning algorithms do better at disease diagnosis, but it is still far from replacing doctors.

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Knowledge Hut

NOVEMBER 2, 2023

Among various such implementations, two of the most prominent subsets that have garnered enough attention are Generative AI and Machine Learning. Both Generative AI and Machine Learning share the common goal of enabling machines to learn and make predictions.

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RandomTrees

APRIL 30, 2024

It has completely changed our approach to medical diagnosis, treatment, and remote patient care. From medical image analysis to drug discovery and personalized treatment, Generative AI is revolutionizing global health initiatives and telemedicine. This is applied to the healthcare sector as well.

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ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms?

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ProjectPro

JANUARY 20, 2022

“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. We have put together the ideal artificial intelligence and machine learning path for you.

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ProjectPro

SEPTEMBER 6, 2021

The Machine Learning market is anticipated to be worth $30.6 Machine Learning plays a vital role in the design and development of such solutions. Machine learning is everywhere. Machine Learning has a wide range of use cases and applications in this area. Billion in 2024.

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ProjectPro

FEBRUARY 25, 2022

What is a Machine Learning Pipeline? A machine learning pipeline helps automate machine learning workflows by processing and integrating data sets into a model, which can then be evaluated and delivered. Table of Contents What is a Machine Learning Pipeline?

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Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. Detecting cancerous cells in microscopic photography of cells (Whole Slide Images, aka WSIs) is usually done with segmentation algorithms, which NNs are very good at. Artificial Intelligence (AI). Neural Networks (NNs).

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AltexSoft

NOVEMBER 17, 2021

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. Machine learning classification with natural language processing (NLP). Source: affine.ai.

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AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. It can be manually transformed into structured data by hospital staff, but it’s never a priority in the medical setting. Medical transcription.

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ProjectPro

SEPTEMBER 29, 2021

Probability and Statistics are two intertwined topics that smoothen one’s path to becoming a Machine Learning pro. In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. How to choose the Best Probability Course for Machine Learning?

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U-Next

SEPTEMBER 23, 2022

Introduction To Machine Learning . Data scientists often use the terms Machine Learning and Artificial Intelligence interchangeably when referring to Data Science, but they are not synonymous, although they do seem to be closely related. What Is Machine Learning? .

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ProjectPro

DECEMBER 22, 2021

John was a technology enthusiast who was eager to learn about and explore the benefits of machine learning. He enrolled in a few online machine learning bootcamps and learned the theory on how to use packages such as sci-kit-learn, Tensorflow , and Pytorch. Linear Algebra 2. Linear Algebra 2.

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ProjectPro

OCTOBER 27, 2021

Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions.

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U-Next

MARCH 1, 2023

These may be a notch ahead of the Artificial Intelligence Projects for students. To create facial recognition systems, it applies the principles of machine learning, deep learning, face analysis, and pattern recognition. These bots employ AI algorithms to comprehend customer questions about credit cards, accounts, and loans.

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ProjectPro

NOVEMBER 8, 2021

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

Algorithm 52

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Knowledge Hut

MAY 3, 2024

Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. Additional libraries, built atop the core, allow diverse workloads for streaming, SQL, and machine learning. You can combine these libraries seamlessly in the same application.

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ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

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ProjectPro

JANUARY 28, 2022

In data science, algorithms are usually designed to detect and follow trends found in the given data. The modeling follows from the data distribution learned by the statistical or neural model. One can train machine learning models to detect and report such anomalies retrospectively or in real-time.

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Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Start by learning the best language for data science, such as Python.

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RandomTrees

JANUARY 22, 2024

It improves accessibility, encourages innovation for greater value, lowers disparities in research and treatment, and harnesses large-scale medical data analysis to create new data. Revolutionizing Clinical Trials through AI Generative AI is transforming medical research. This reduces the amount of time and money needed.

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Medical Healthcare Datasets Electronics 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection? No wonder only 0.5

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Knowledge Hut

JANUARY 11, 2024

Data science, especially in medical imaging, has been helping healthcare professionals come up with better diagnoses and effective treatments for patients. These tools also assist in defining personalized medications for patients reducing operating costs for clinics and hospitals. Moreover, it can cut the analysis time by around 30%. 

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AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. The length of stay (LOS) in a hospital , or the number of days from a patient’s admission to release, serves as a strong indicator of both medical and financial efficiency.

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Knowledge Hut

DECEMBER 27, 2023

Data processing can be done using statistical techniques, algorithms, scientific approaches, various technologies, etc. The software includes data analysis and machine learning models that automatically recognize user characteristics and show them product preferences accordingly. Analyzing medical images is one of them.

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Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Programming a system to track medical appointments. designing an algorithm to improve the efficiency of hospital processes. Creating a database to store patient information. Source Code: News Feed App 4.

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AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

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AltexSoft

MARCH 22, 2022

Meanwhile, synthetic data can be a good alternative to rely on when it comes to training machine learning models. Synthetic data is artificial data that mimics real-world observations and is used to train machine learning models in those cases when actual data is difficult or expensive to get. What is synthetic data?

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