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. Design NLP-based applications to solve customer needs.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

NOVEMBER 17, 2021

In this blog, you’ll learn more about the benefits of sentiment analysis and ten project ideas divided by difficulty level. Table of Contents Top Sentiment Analysis Project Ideas With Source Code Using Machine Learning What is Sentiment Analysis? What is Sentiment Analysis?

Coding 52

Coding Project Entertainment Datasets 52

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.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

ProjectPro

FEBRUARY 5, 2022

This blog introduces the concept of time series forecasting models in the most detailed form. The blog's last two parts cover various use cases of these models and projects related to time series analysis and forecasting problems. A time series refers to a collection of data points whose values can be represented as a function of time.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

ProjectPro

FEBRUARY 19, 2021

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Is consuming caffeine and smoking-related to mortality risk?

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

ProjectPro

NOVEMBER 23, 2021

Towards the end of the 2000s, complex neural networks and model-based deep learning saw a huge upsurge in demand with revolutionary results in the fields of computer vision and natural language processing. While reinforcement learning has been around the corner from the same time, it was overshadowed by its counterparts for decades.

Project 52

Project Python Algorithm AWS 52

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?

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

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. What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Rockset

OCTOBER 26, 2023

JetBlue is the data leader in the airline industry using data to offer industry-leading customer experiences and disruptive low fares to popular destinations around the world. The complexity of the data and situation can be hard to quickly comprehend and take action on without the assistance of machine learning.

Machine Learning 64

Machine Learning Data Science Architecture Data Warehouse 64

LinkedIn Engineering

DECEMBER 20, 2023

Our members rely on us to create an environment on our platform where they can safely learn and grow in their careers. In this blog post, we discuss how we are harnessing AI to help us with abuse prevention and share an overview of our infrastructure and the role it plays in identifying and mitigating abusive behavior on our platform.

Building 91

Building Algorithm Kafka Machine Learning 91

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses.

Data Pipeline 52

Data Pipeline Data Science Raw Data Media 52

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). What are Natural Language Processing Projects?

Coding 52

Coding Project Datasets Machine Learning 52

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.

Insurance 75

Insurance Machine Learning Project Algorithm 75

Snowflake

JUNE 28, 2023

Since its launch two years ago, Snowpark has been empowering data scientists, data engineers, and application developers to streamline their architectures, accelerate development, and boost the performance of data engineering and ML/AI workloads on Snowflake. General platform updates Multiple Python Version 3.9 & 3.10

Python 52

Python Accessible Accessibility Pipeline-centric 52

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Newly generated metadata will then point to source data files as illustrated in the diagram below. .

Cloud 78

Cloud Metadata Google Cloud Data Warehouse 78

ProjectPro

JANUARY 31, 2023

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Given enough training data, machine learning models can smoothly solve challenging problems.

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

ProjectPro

AUGUST 25, 2021

This blog introduces the critical differences that one encounters when anyone performs an analysis of logistic regression vs linear regression. Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

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.

Finance 52

Finance Machine Learning Project Banking 52

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. It's not there.

Machine Learning 72

Machine Learning Algorithm Datasets Project 72

ProjectPro

OCTOBER 16, 2021

TensorFlow and Scikit-learn, two of the most popular words from the jargon of the Machine Learning world! 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.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 83

Engineering Raw Data Data Science Scala 83

ProjectPro

JANUARY 6, 2022

Humans crave stories, and visualizations allow us to create one from data. The majority of data that data scientists and machine learning engineers work with is in a structured or unstructured format that is challenging for humans to analyze and comprehend. Table of Contents Why Use Python for Data Visualization?

Python 52

Python Datasets Programming Language Data Science 52

Zalando Engineering

OCTOBER 24, 2016

Recurrent neural networks (RNNs) , one of the major classes of deep learning methods, offer us two benefits: (1) By processing raw consumer histories, RNNs provide accurate prediction models without requiring tedious feature engineering efforts. (2) That is, we do not use customer data.) What makes the difference?

Deep Learning 52

Deep Learning Machine Learning Engineering Data Science 52

ProjectPro

NOVEMBER 30, 2021

This blog contains sample projects for business analyst beginners and professionals. So, continue reading this blog to know more about different business analyst projects ideas. The capability of learning different business processes. Your search for business analyst project examples ends here. Strong time management skills.

Business Analyst 52

Business Analyst Project Retail Datasets 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. Apart from this, Runtastic also relies upon PySpark for their Big Data sanity checks.

Hadoop 52

Hadoop Python Datasets Metadata 52

Snowflake

JUNE 7, 2023

And now with Snowpark we have opened the engine to Python, Java, and Scala developers, who are accelerating development and performance of their workloads, including IQVIA for data engineering, EDF Energy for feature engineering, Bridg for machine learning (ML) processing, and more. This can also be a huge time sink.

Java 57

Java Python Designing Process 57

ProjectPro

JANUARY 31, 2022

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

NOVEMBER 15, 2021

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. That’s a smart thing to do because not all data can be granted with this adjective.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Towards Data Science

OCTOBER 7, 2023

We dug deep into the early adopters’ strategies to learn how companies are putting this technology to use today — and what it takes for a data team to implement gen-AI at scale. Financial services Way back in early 2023, Wall Street institutions like Goldman Sachs and Citigroup famously banned ChatGPT due to data privacy concerns.

Unstructured Data 76

Unstructured Data Finance SQL Media 76

ProjectPro

JUNE 16, 2021

Data Science replicates human behavior. We have designed machine learning to imitate how we behave as humans. Think of a model in Data Science as one way to learn. Instead, when multiple people share their experiences and learnings, it is possible to develop a generalized approach.

Machine Learning 52

Machine Learning Data Science Datasets Python 52