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. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays. What Are the Distinctions Between Machine Learning and Data Mining?

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Machine Learning Deep Learning Algorithm Data Mining 52

Knowledge Hut

JANUARY 18, 2024

In this article, I'll walk you through the fundamentals of Naive Bayes, a robust machine learning algorithm. Understanding conditional probability is crucial in various fields, aiding in decision-making, statistical analysis, and machine learning, where it plays a pivotal role in algorithms like Naive Bayes.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

ProjectPro

DECEMBER 10, 2021

Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. Chilly December is here!

Business Intelligence 52

Business Intelligence Coding Project BI 52

U-Next

SEPTEMBER 29, 2022

According to the World Economic Forum’s Future of Jobs Report 2020 , these roles are the most in-demand across big data industries. There is an increased demand for data professionals. . To get and communicate their conclusions, data analysts employ programming languages, visualization tools, and communication skills. .

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

ProjectPro

NOVEMBER 3, 2021

If you are tired of googling how to become a freelance data scientist , you need to relax because your search is finally over. In this blog, we have presented a step by step guide for becoming a freelance data scientist and a quick and easy way of getting hired as a freelance data scientist.

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Portfolio Data Science Algorithm Programming Language 52

Knowledge Hut

JANUARY 22, 2024

In the ever-evolving landscape of technology, where data reigns supreme, the pursuit of mastery in data science, specifically exploring "Data Science Course Fees," has become more than a professional endeavor—it's a journey into the heart of innovation. Welcome to the world of data science.

Data Science 52

Data Science Certification Education Data Lake 52

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. Hands-on experience with cloud-based platforms such AWS, Azure.

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Coding Project Deep Learning Algorithm 52

U-Next

DECEMBER 2, 2022

Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. R is also very popular among data scientists. Introduction .

Machine Learning 40

Machine Learning Data Science Programming Language Data Mining 40

ProjectPro

JUNE 18, 2021

These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. 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.

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Java Data Science Python Programming Language 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Recommender System Projects Have you ever seen movies or web series on online streaming platforms? It contains all the attributes you need to build your stock price prediction system.

Machine Learning 52

Machine Learning Project 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. Another reason behind the traction is the exciting range of application systems that can be created using ML. Those functions have been optimised already, so you don’t need to go in depth of the algorithms.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

DECEMBER 17, 2021

Furthermore, solving difficult problems in data science not only prepares you for the future but also teaches you the latest tools, techniques, algorithms and packages that have been introduced in the industry. So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you.

Data Science 52

Data Science Medical Datasets Machine Learning 52

Knowledge Hut

SEPTEMBER 6, 2023

It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale.

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Big Data Certification Hadoop Scala 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Pinterest Engineering

JANUARY 18, 2024

In particular, our machine learning powered ads ranking systems are trying to understand users’ engagement and conversion intent and promote the right ads to the right user at the right time. Our engineers are constantly discovering new algorithms and new signals to improve the performance of our machine learning models.

Systems 78

Systems Machine Learning Data Mining Algorithm 78

ProjectPro

AUGUST 13, 2021

Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Classification System 4. Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making. Predictive Analytics 2.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

JUNE 17, 2016

Career Counsellors at ProjectPro often get questions from students mentioning that – “I have a LinkedIn profile but I hardly get any calls or messages from recruiters regarding big data job opportunities.” ” We hope that this blog post will solve all your queries related to crafting a winning LinkedIn profile.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

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.

Machine Learning 72

Machine Learning Algorithm Datasets Project 72

Knowledge Hut

APRIL 25, 2024

Information Technology uses computer systems or devices to access information. This system is responsible for a large portion of any workforce, business operation, and other personal access information comprising an individual's daily activities. It is looked after by the Database Management System (DBMS). They are: 1.

Technology 52

Technology Recruitment Media Cloud Computing 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

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Data Process Process Data Cleanse Data Mining 52

Pinterest Engineering

MARCH 5, 2024

Personalized recommendation is critical in the ads recommendation system because it can better capture users’ interests, connect the users with the compelling products, and keep them engaged with the platform. Advances in neural information processing systems 30 (2017). [2] 2] Zhou, Guorui, et al. 3] Wang, Ruoxi, et al. “

Machine Learning 60

Machine Learning Deep Learning Architecture Data Mining 60

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

OCTOBER 16, 2021

If you are wondering what is the reason behind their popularity, continue reading as we answer that question in this blog by exploring hands-on machine learning with Scikit-learn and TensorFlow. It contains codes to support the implementation of machine learning algorithms in Python.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

AUGUST 16, 2021

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

DECEMBER 21, 2023

Data Engineer / Big Data Engineer Data engineers create and test flexible Big Data ecosystems for businesses to run their algorithms on reliable and well-optimized data platforms. To boost database performance, data engineers also update old systems with newer or improved versions of current technology.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

U-Next

AUGUST 3, 2022

Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. After understanding what Data Science is and its fundamental principles, what else do we need to discuss? What is a Data Scientist? What is the work of a Data Scientist?

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Retail Data Science Computer Science Entertainment 52

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. Types of Data Science Platforms The data science platform landscape can be overwhelming.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

MARCH 12, 2016

Reader's Choice: The topic for this article has been recommended by one of our Blog subscribers. PB of data; - $250 billion worth of payments processed every year; -12.5 Interested to know how much a data scientist at PayPal earns? PayPal expands its Hadoop usage into HBase to leverage HDFS.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

MAY 23, 2015

Inkiru's predictive technology platform pulls data from diverse sources and helps Walmart improve personalization through data analytics. How Walmart uses Big Data? Walmart has a broad big data ecosystem. The big data ecosystem at Walmart processes multiple Terabytes of new data and petabytes of historical data every day.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

JANUARY 15, 2021

No doubt, it is always good to have clarity on your machine learning concepts theoretically but without getting relevant practical exposure you cannot expect to become an enterprise data scientist or a machine learning engineer. Machine learning algorithms learn from data. Machine learning algorithms learn from data.

Datasets 40

Datasets Machine Learning Retail Banking 40

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

DECEMBER 14, 2021

Data insights, improved quality, and correct data condensed in a single document have become more critical. Companies interested in harnessing data should invest in a business intelligence system. Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization.

BI 52

BI Project Business Intelligence Datasets 52

Databand.ai

DECEMBER 20, 2022

He is also an open-source developer at The Apache Software Foundation and the author of Hysterical , a popular blog on tech careers and topics like data, coding, and engineering. Through these roles, he has developed a passion for using data and common sense to generate simple, implementable solutions to complex problems.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

ProjectPro

JULY 30, 2021

1) Recommender System Machine Learning Project for Beginners If you have tried online shopping, you must have noticed that when you are checking out a product on an eCommerce site, there is a list of suggested products that you are presented with. To curate those suggestions list, these websites use recommender systems.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data.

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