Data Engineering Podcast

OCTOBER 15, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.

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Process Building SQL BI 182

Knowledge Hut

DECEMBER 26, 2023

Data science is a field of study that works with large amounts of facts and uses splitting tools and methods to uncover hidden patterns, extract useful data, and make business choices. Data scientists use complex machine learning techniques to develop prediction models. Why Should You Learn Data Science?

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Data Science Programming Language Deep Learning Machine Learning 98

Data Engineering Podcast

OCTOBER 8, 2023

In this episode he shares his journey of data collection and analysis and the challenges of automating an intentionally manual industry. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. With Materialize, you can!

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Insurance BI SQL Machine Learning 162

Knowledge Hut

DECEMBER 21, 2023

If you are a computer science student keen to know the essential deep learning skills that one must acquire to become a successful professional in 2024, sign up for the best online course for Data Science. It supports and functions with all types of data, including text, image, video, audio, etc.

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Deep Learning Programming Language Recruitment Java 52

Knowledge Hut

MAY 31, 2023

From cutting-edge research to real-world applications, here we will investigate the most executed artificial intelligence projects. Currently, most students and working professionals prefer a Data Science Course to make a smooth transition in the data science field. What are Artificial Intelligence Projects?

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Project Healthcare Deep Learning Transportation 96

Knowledge Hut

APRIL 26, 2024

Also called data storage areas , they help users to understand the essential insights about the information they represent. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. In the real world, data sets are huge.

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Datasets Machine Learning Deep Learning Finance 98

KDnuggets

MAY 11, 2022

SQL Notes for Professionals: The Free eBook Review; How To Structure a Data Science Project: A Step-by-Step Guide; Everything You Need to Know About Tensors; Free University Data Science Resources; Image Classification with Convolutional Neural Networks (CNNs).

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Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Therefore, the greatest thing you can do as a novice is to work on some real-time data engineering initiatives.

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Data Engineering Data Engineer Coding Project 98

Knowledge Hut

MARCH 19, 2024

They come with strong backgrounds in computer science, mathematics, statistics, programming languages, and machine learning frameworks skills. Data Preparation: The Machine Learning Engineer Software engineers get, clean, and process data so that it can be used in machine learning models.

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Software Engineer Software Engineering Machine Learning Engineering 52

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

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Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

AUGUST 25, 2021

Specifics of data used in NLP. Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Another way to handle unstructured text data using NLP is information extraction (IE). Approaches to NLP: rules vs traditional ML vs neural networks.

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Process Deep Learning Datasets Machine Learning 139

Knowledge Hut

APRIL 26, 2024

Machine Learning is a sub-branch of Artificial Intelligence, used for the analysis of data. It learns from the data that is input and predicts the output from the data rather than being explicitly programmed. If ML algorithms consume more amounts of data while solving a problem, it results in better performance.

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Machine Learning Algorithm Deep Learning Programming Language 98

Netflix Tech

NOVEMBER 17, 2022

Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. How can neural networks fit into Netflix video encoding?

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Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recent reports highlight a significant increase in demand for data scientists, rising by 27.9%

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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. It can be daunting for someone new to data science.

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Programming Language Data Science Programming Scala 98

Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. Let’s begin with all the aspects of movie recommendation using ML.

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Knowledge Hut

DECEMBER 22, 2023

Industry experts are of the view that 2024 will be a huge year for data science and AI. Since the beginning of digital era, data has been growing at the speed of light! New data will not only generate more innovative use cases but also spearhead a revolution of innovation. billion by 2025. from 2018 to 2025.

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Data Science Deep Learning Healthcare Business Intelligence 98

ProjectPro

JANUARY 24, 2023

Top 5 Pattern Recognition Project Ideas in Python Here are five pattern recognition projects for beginners. In this project, you should first download the famous Iris Dataset and implement Exploratory Data Analysis techniques over it. Convolutional Neural Networks are best suited for such problems.

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Project Datasets Algorithm Data Science 52

AltexSoft

MAY 12, 2022

In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects. Particularly, we’ll explain how to obtain audio data, prepare it for analysis, and choose the right ML model to achieve the highest prediction accuracy. What is audio data? Audio data file formats.

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Machine Learning Building Datasets Healthcare 122

Knowledge Hut

OCTOBER 27, 2023

Data Analytics has become increasingly important for businesses across industries in recent years due to advancements in technology that allow for efficient storage and processing of large amounts of data. And data analytics projects are the best way to simulate some of these scenarios and stay on top of the trends.

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Knowledge Hut

MARCH 27, 2024

It also contains an extensive collection of data-on-data formatting techniques, slicing, and system and local variable information. There are built-in choices like lists and tuples to manage this data, but they are not as useful as needed. This cheat sheet is part of the best machine learning and data science courses.

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Machine Learning Deep Learning Algorithm Certification 52

U-Next

AUGUST 18, 2022

Introduction: Data Science Projects for Beginners. You have your sights set on a lucrative Data Science position that literally screams “you” in the job title. You know that you possess the Data Science expertise needed for the position. They successfully handle the project.

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U-Next

AUGUST 17, 2022

Introduction: Data Science Projects for Beginners. You have your sights set on a lucrative Data Science position that literally screams “you” in the job title. You know that you possess the Data Science expertise needed for the position. They successfully handle the project.

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Data Science Project Portfolio Datasets 52

Knowledge Hut

JUNE 16, 2023

We all have witnessed how Deep learning has emerged as one of the most promising domains of artificial intelligence, enabling machines to process, analyze and draw insights from vast amounts of data. You can enroll in a Data Science Certified course to learn in depth about these tools.

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Deep Learning BI Machine Learning Data Science 52

DareData

NOVEMBER 28, 2023

In today's data-driven world, machine learning has emerged as a transformative force, empowering organizations to extract valuable insights from vast amounts of data. As the scope of the models and the data continues to scale, the role of a Data Scientist has evolved accordingly in the last years. But that is not all!

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Data Science Medical Machine Learning Data 52

Scott Logic

JANUARY 9, 2024

Pandas: popular tabular data analysis/processing and querying. In term of models the course immerses us in the following: Neural networks (NNs) : mainly used for image processing and object detection. Linear regression : for describing data and explaining the relationship between them. But what is a neural network?

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Deep Learning Python Machine Learning Entertainment 52

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Choose data sets.

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Data Science Business Analyst ETL Method Data Architect 98

Knowledge Hut

NOVEMBER 27, 2023

Transitioning to a career in data science has become increasingly attractive in recent years. The demand for qualified data professionals continues to rise as companies recognize the value of data-driven decision-making. What Do Data Scientists Do? Why Should You Get Into Data Science?

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Data Science Datasets Machine Learning Portfolio 52

Knowledge Hut

NOVEMBER 17, 2023

This involves acquiring knowledge about algorithms, neural networks, and frame­works such as Keras and Scikit-Learn. Data Analysis and Manipulation: AI relies heavily on data. Teamwork: AI projects often demand collaboration with diverse teams, including data scientists, engineers, and business analysts.

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Deep Learning Data Science Machine Learning Certification 52

Knowledge Hut

MARCH 20, 2024

Typical roles and responsibilities include the following: Ability to create and evaluate AI models using neural networks, ML algorithms, deep learning, etc. Help with direct processing and R&D to meet the project's requirements. Working on cloud infrastructure like AWS and other data platforms like Databricks and Snowflake.

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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. These machine learning projects for students will also help them understand the applications of machine learning across industries and give them an edge in getting hired at one of the top tech companies.

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Machine Learning Project Datasets Algorithm 52

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. It can be daunting for someone new to data science.

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Programming Language Data Science Programming Scala 75

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. With almost all of the Fortune 500 and a majority of the Global 2000 relying on Cloudera for their most important data assets, Cloudera’s Machine Learning product (CML) is the way enterprises do ML.

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Deep Learning Machine Learning Telecommunication Data Science 84

Edureka

APRIL 24, 2024

Generative AI is a lighthouse symbolising progress that can create new data, thoughts and digital realms from the depths of already existing information. Understanding of Machine Learning and Neural Networks: It goes without saying that a deep understanding of machine learning and how neural networks function is fundamental.

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Pharmaceutical Algorithm Programming Language Entertainment 40

ProjectPro

JANUARY 27, 2023

These libraries help data scientists and machine learning engineers save significant time and resources when performing complex image/video processing and analysis tasks with minimal coding. Project Idea: OpenCV Project for Beginners to Learn Computer Vision Basics 2. A team of researchers developed it at Google.

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Python Deep Learning Programming Language Algorithm 52

ProjectPro

JANUARY 27, 2023

From identifying fraudulent transactions to predicting market crashes, data science applications in the finance industry are endless. All this is possible now, thanks to the versatile data science applications in the finance industry. The risk of loss due to indecision and human error is therefore minimized.

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Finance Data Science Unstructured Data Algorithm 52

ProjectPro

SEPTEMBER 27, 2021

The algorithms evolved from simple decision trees to complex deep neural network architectures. The Convolutional Neural Networks ( CNN ) is a type of neural network used to classify data based on certain markers or labels. CNN falls under the supervised learning category of neural networks.

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