ProjectPro

MARCH 17, 2021

“Machine Learning” and “Deep Learning” – are two of the most often confused and conflated terms that are used interchangeably in the AI world. However, there is one undeniable fact that both machine learning and deep learning are undergoing skyrocketing growth.

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 52

Knowledge Hut

JULY 4, 2023

To build a strong foundation and to stay updated on the concepts of Pattern recognition you can enroll in the Machine Learning course that would keep you ahead of the crowd. It is a subfield of machine learning and artificial intelligence. What Is Pattern Recognition?

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

KDnuggets

MARCH 23, 2022

Create, version-control, query, and visualize image, audio, and video datasets using Hub 2.0 by Activeloop.

Datasets 105

Datasets Deep Learning Management Machine Learning 105

Cloudera

NOVEMBER 17, 2020

One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. The research team at Cloudera Fast Forward have written a report on using deep learning for anomaly detection. a Hive Table).

Deep Learning 112

Deep Learning Machine Learning Raw Data Data Ingestion 112

Knowledge Hut

MAY 3, 2024

If you are thinking of a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classifications as well as regression problems, K-Nearest Neighbors (K-NN) is a perfect choice. Learning K-Nearest Neighbors is a great way to introduce yourself to machine learning and classification in general.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. At the same time, de-identification only encrypts personal details and hides them in separate datasets. This fact creates another barrier to generating quality medical datasets.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Knowledge Hut

MARCH 19, 2024

In today's digital transformation era, machine learning has emerged as a transformative technology driving innovation across industries. Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms.

Software Engineer 52

Software Engineer Software Engineering Machine Learning Engineering 52

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.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Knowledge Hut

DECEMBER 28, 2023

As businesses expand, their datasets also expand and become more complex. Especially the organizations that deal in machine learning for better forecasting and automated results by the machine, their storage spaces shrink and cannot handle a large amount of data. What is Machine Learning?

Cloud Computing 52

Cloud Computing Machine Learning Cloud Google Cloud 52

U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Introduction to Machine Learning Interview Questions. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays.

Machine Learning 52

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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 Machine Learning? .

Big Data 52

Big Data Machine Learning Deep Learning Algorithm 52

Knowledge Hut

JUNE 16, 2023

Machine Learning is a rapidly growing field in the tech industry, that has created many job opportunities for professionals with the right skills and experience. One such job is that of a Machine Learning engineer, who is responsible for designing and implementing Machine Learning models and systems.

Machine Learning 52

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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.

Machine Learning 52

Machine Learning Deep Learning Utilities Medical 52

AltexSoft

OCTOBER 22, 2021

Well, the technology behind such “magic” is called deep learning. In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. Get ready because you’re about to go deep into deep learning.

Deep Learning 52

Deep Learning Raw Data Algorithm Machine Learning 52

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. Machine learning algorithms can analyze potentially tera bytes of data, identify patterns from these data, and make predictions or decisions.

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

Knowledge Hut

JULY 28, 2023

These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. If you are new to this domain and wanted to learn how to label data for machine learning problems, then you’ve landed on the right page. What is Data Labeling for Machine Learning?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

AltexSoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Machine Learning 105

Machine Learning Engineering Algorithm Programming Language 105

ProjectPro

SEPTEMBER 29, 2021

The term artificial intelligence is always synonymously used Awith complex terms like Machine learning, Natural Language Processing, and Deep Learning that are intricately woven with each other. One of the trending debates is that of the differences between natural language processing and machine learning.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

KDnuggets

OCTOBER 3, 2019

There is no clear outline on how to study Machine Learning/Deep Learning due to which many individuals apply all the possible algorithms that they have heard of and hope that one of implemented algorithms work for their problem in hand.

Machine Learning 87

Machine Learning Engineering Deep Learning Algorithm 87

ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions. Facial reorganization, social media optimization, etc.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 106

Machine Learning Python Kafka Java 106

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?

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Zalando Engineering

APRIL 18, 2022

To optimize the fashion experience for 46 million of our customers, Zalando embraces the opportunities provided by machine learning (ML). Let's look at it from the point of view of a machine learning practitioner, such as an applied scientist or a software engineer. Using the HPC is as easy as connecting to it via SSH.

Machine Learning 52

Machine Learning AWS Software Engineer Software Engineering 52

U-Next

NOVEMBER 8, 2022

Machine Learning is a branch of computer science that focuses on giving computers the ability to learn without being explicitly programmed. The algorithms, mathematical formulas, and statistical calculations were all manually coded in the past when Machine Learning was new. Introduction .

Machine Learning 40

Machine Learning Python Deep Learning Algorithm 40

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.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

DECEMBER 21, 2021

Did you know that the global machine learning market, according to Fortune Business Insights, is expected to reach a whopping $152.24 Machine learning, unlike other fields, has a global reach when it comes to job opportunities. billion in 2028? This includes knowledge of data structures (such as stack, queue, tree, etc.),

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

U-Next

SEPTEMBER 13, 2022

You will also learn top Machine Learning interview questions along the way! . The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. . Top Data Science & Machine Learning Interview Question .

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

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?

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

Knowledge Hut

DECEMBER 26, 2023

Data scientists use complex machine learning techniques to develop prediction models. Get Familiar with Applied Mathematics In machine learning and data science, mathematics isn't about crunching numbers; it's about knowing what's happening, why, and how we may try different variables to get the outcomes we want.

Data Science 98

Data Science Programming Language Deep Learning Machine Learning 98

Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. While using Amazon SageMaker datasets are quick to access and load.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

ProjectPro

JANUARY 28, 2022

One can train machine learning models to detect and report such anomalies retrospectively or in real-time. You can train machine learning models can to identify such out-of-distribution anomalies from a much more complex dataset.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

ProjectPro

OCTOBER 28, 2021

In this blog, we have mentioned all the topics that are considered as prerequisites for learning machine learning. We have covered all the subjects and the best resources that will help you learn them thoroughly. Machine learning is no exception to that. Why should you learn Machine learning?

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1. Tessaract 4.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

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? .

Machine Learning 40

Machine Learning Banking Deep Learning Algorithm 40

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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).

Machine Learning 75

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