Knowledge Hut

DECEMBER 22, 2023

This blog offers a comprehensive explanation of the data skills you must acquire, the top data science online courses , career paths in data science, and how to create a portfolio to become a data scientist. These stages will serve as a learning path and help you become a data scientist step by step.

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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.

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Knowledge Hut

NOVEMBER 18, 2023

Welcome to our blog that will walk you through the world of amazing AI models – different AI model types, impacts on various industries, and great AI model examples of their transformation power. The Sherlock Holmes of AI: Supervised Learning Models: In the world of AI, these models are just like detectives.

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Knowledge Hut

OCTOBER 27, 2023

In this blog, we will cover the top 5 data science projects in python you could do to elevate your skills and knowledge in this competitive Data Science market. Hence, it becomes utmost important to ensure that the machines operate in their normal operating regime without fail. Top Data Science Projects in Python 1.

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U-Next

JUNE 27, 2023

In his case, the teacher tried various methods – reading aloud, story-based learning, and so on. In this blog, we will explore concepts like ‘Intelligent Tutoring Systems’ and how AI is playing a key role in this field. Recently the company “Learning Equality” jointly with “Learning Agency Lab” hosted a competition on Kaggle.

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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.

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AltexSoft

AUGUST 25, 2021

Humans have been trying to make machines chat for decades. But despite failing to understand us in some instances, machines are extremely good in making sense of our talking and writing in other examples. Keep reading to learn: What problems NLP can help solve. Today, we converse with virtual companions all the time.

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ProjectPro

FEBRUARY 17, 2022

Similarly, in Machine learning, selecting the correct number of features for fitting a predictive model to a given dataset is essential. Table of Contents Feature Selection Methods in Machine Learning What is Feature Selection in Machine Learning? Continue reading this blog to know more about them.

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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?

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ProjectPro

JANUARY 11, 2022

“Machine Learning” is one of the most trending buzzwords. They are built using Machine Learning algorithms. These algorithms majorly fall into two categories - supervised algorithms and unsupervised algorithms. Table of Contents Machine Learning Classification vs. Regression What is Classification?

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Edureka

JULY 18, 2023

I n this blog, we’ll cover everything you need to know to get started with a career in Artificial Intelligence. Once you are done with this blog, You’ll be able to clearly understand the potential possibilities for AI in businesses. Nvidia AI is creating new machine learning algorithms and applications.

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ProjectPro

NOVEMBER 25, 2021

To mitigate this challenge, organizations are now leveraging natural language processing and machine learning techniques to extract meaningful insights from unstructured text data. Read this blog to learn about text classification, one of the core topics of natural language processing.

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ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Good knowledge of commonly used machine learning and deep learning algorithms.

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U-Next

AUGUST 18, 2022

Data Scientist is a highly dynamic job and requires a person to be well-versed in AI, business intelligence, Machine Learning earning, etc. Learn more about it here. This blog encompasses their fundamental duties, Data Science specializations, or how Data Scientists work in various sectors. What Does a Data Scientist Do?

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ProjectPro

FEBRUARY 4, 2022

With machine learning taking some significant leaps in the early 2010s, model creation and prediction have been refined to mirror human understanding of linguistic expressions. For example, in this case, the sentences that have a better chance of being outputted by the machine output after learning from a group of text.

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ProjectPro

JUNE 18, 2021

This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021. Java for Data Science - Should data scientists learn Java? Java for Data Science - Should data scientists learn Java? renamed to Java.

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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. So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you.

Data Science 52

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AltexSoft

JANUARY 18, 2023

You will learn this and more in our post. A language model is a type of machine learning model trained to conduct a probability distribution over words. Language models are a fundamental component of natural language processing (NLP) because they allow machines to understand, generate, and analyze human language.

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ProjectPro

JULY 12, 2021

Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. This blog will take you through a relatively new career title in the data industry — AI Engineer. What is an AI Engineer?

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ProjectPro

FEBRUARY 11, 2021

Spoiler Alert: Becoming a machine learning engineer can sound like a hard-to-reach goal but let us tell you the truth – it isn’t as hard as it seems. Image Credit: Makeameme.org So you are considering learning machine learning skills , and you’ve heard that becoming a machine learning engineer is the way to go.

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Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media). Enterprise Machine Learning: . Societal Impact: .

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Knowledge Hut

JANUARY 16, 2024

Embarking on a journey in the highly demanded field of Machine Learning (ML) opens doors to diverse career opportunities. The avenues to acquire the essential skills for a career in ML are plentiful, ranging from Machine Learning online courses and certifications to formal degree programs. What Is Machine Learning?

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Netflix Tech

JANUARY 30, 2023

In a previous blog post we explained how our artwork personalization algorithm can pick the best image for each member, but how do we create a good set of images to choose from? In this blog post, we talk about two approaches to create effective artwork. On the flip side, creatives can also use these clusters to learn what not to do.

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Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

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Knowledge Hut

DECEMBER 26, 2023

As a Data Engineer, you must develop Dashboards, reports, and other visualizations and learn how to optimize retrieving data. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data. They are also accountable for communicating data trends. These are as follows: 1.

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ProjectPro

JANUARY 13, 2022

There’s one common aspect in both these cases, and that is what you will learn about in this article: Automatic Text Summarization. There is a high demand for machine learning algorithms that can quickly summarize lengthy texts and offer accurate insights. These snippets are taken directly from websites.

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Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. We can use these datasets for our learning and building solutions for non-commercial purposes. Below are some of the public datasets for data science.

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Knowledge Hut

OCTOBER 30, 2023

Natural Language Processing or NLP is a part of Machine Learning focusing on spoken language with loads of data. Interactions between people and machines using natural language are the subject of the interdisciplinary field of natural language processing (NLP). Machine learning greatly simplifies this procedure.

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ProjectPro

JANUARY 25, 2022

Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. How long does it take to learn PySpark? PySpark Applications-How are Businesses leveraging PySpark?

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ProjectPro

JUNE 22, 2021

This blog will help you master the fundamentals of classification machine learning algorithms with their pros and cons. You will also explore some exciting machine learning project ideas that implement different types of classification algorithms. So, without much ado, let's dive in.

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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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Rockset

MAY 8, 2023

In this blog, we capture engineering stories from 5 early adopters of vector search- Pinterest, Spotify, eBay, Airbnb and Doordash- who have integrated AI into their applications. In the next sections, we’ll summarize 5 engineering blogs on vector search and highlight key implementation considerations.

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Scribd Technology

JULY 20, 2021

This is part 2 in a series of blog posts describing a multi-component machine learning system the Applied Research team built to extract metadata from our documents in order to enrich downstream discovery models. Figure 1: Diagram of our multi-component machine learning system.

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ProjectPro

DECEMBER 14, 2021

We will look at some intriguing sample Power BI projects in this blog to help you better understand the role of Power BI in Data Science and how it can help businesses thrive. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling. Table of Contents What is Power BI?

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ProjectPro

JULY 9, 2021

When firing Siri or Alexa with questions, people often wonder how machines achieve super-human accuracy. All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. What is Deep Learning?

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ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

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Cloudera

SEPTEMBER 6, 2018

Support machine learning (ML) algorithms and data science activities, to help with name matching, risk scoring, link analysis, anomaly detection, and transaction monitoring. Reduce transaction monitoring false positive rates by half using machine learning models against big data containing tens of thousands of features.

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