Knowledge Hut

FEBRUARY 1, 2024

Every time someone uses the internet, more data is added. We need assistance from various Data Science methodologies to make sense of this enormous amount of data and use it for the company's objectives, etc. Machine learning algorithms produce these suggestions. What is E-commerce Data Science?

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ProjectPro

JULY 10, 2021

Time series analysis and forecasting is a dark horse in the domain of Data Science. Time series is among the most applied Data Science techniques in various industrial and business operations, such as financial analysis , production planning, supply chain management, and many more. What is Time Series Analysis ?

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Project Banking Datasets Python 40

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

Knowledge Hut

JANUARY 3, 2024

Numerous types of robots are in use today, even though these particular ones are still largely imagined. The Online Courses for Data Science will help you develop the ability to create Data Science and Machine Learning models so that you can attract the attention of businesses by assisting them in using the potential of big data.

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Entertainment Manufacturing Food Transportation 98

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. There could be several machine learning applications that you could be using in your day-to-day life without even knowing about them.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

AltexSoft

OCTOBER 22, 2021

In 2021, the genealogy website MyHeritage presented its Deep Nostalgia app capable of making photos move, smile, and blink. Resembling magical portraits from Harry Potter , pictures once frozen in time are being revived with one mouse click. Well, the technology behind such “magic” is called deep learning.

Deep Learning 52

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ProjectPro

DECEMBER 17, 2021

Beginners can use such challenges to realise how industries implement data science to solve practical problems while professionals can work on such challenges to upskill. 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.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

DECEMBER 10, 2021

And we do want our curious readers to feel warm in their blankets and conserve their energy when searching for projects on business intelligence. Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Chilly December is here!

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

NOVEMBER 24, 2021

“Is data science hard to learn?”, Allow us to challenge your thoughts and read this blog as we will help you answer all those questions. Lastly, we will present you with one of the best resources for smoothening your learning data science journey. Table of Contents Is Data Science Hard to learn?

Data Science 52

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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.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

JANUARY 28, 2022

The modeling follows from the data distribution learned by the statistical or neural model. They will only go outside of these expected patterns in exceptional cases, which are usually erroneous or fraudulent. When these exceptional cases occur, they cause something that is called an “anomaly” in the data.

Machine Learning 52

Machine Learning Python Datasets Algorithm 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. It contains confidential information which is protected by the Health Insurance Portability and Accountability (HIPAA) act and cannot be used without special consent. Let’s sum up.

Medical 52

Medical Datasets Machine Learning Hospitality 52

ProjectPro

NOVEMBER 3, 2021

The report also revealed that about 75% of individuals who left their full-time jobs for a freelancing career earned more or similar when compared to their traditional employers. Step-7: Keep Learning! Recommended Reading: How to learn NLP from scratch in 2021? trillion to their economy during the COVID-19 pandemic.

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Portfolio Data Science Algorithm Programming Language 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

AUGUST 28, 2021

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems.

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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

Machine Learning Coding Project Deep Learning 40

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

Cloudera

OCTOBER 26, 2022

It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. Among the top benefits of ML, 59% of decision makers cite time savings, 54% cite cost savings, and 42% believe ML enables employees to focus on innovation as opposed to manual tasks. The answer is a resounding no.

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Machine Learning Project Deep Learning Data Science 75

ProjectPro

NOVEMBER 18, 2021

Data science has been a trending buzzword in recent times. We have developed ten exciting data science case studies to explain how data science is leveraged across various industries to make smarter decisions and develop innovative personalized products tailored to specific customers. million people around the globe.

Data Science 52

Data Science Project Food Pharmaceutical 52

ProjectPro

JANUARY 20, 2022

“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. This makes artificial intelligence and machine learning jobs among the hottest in the world today!!

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

AltexSoft

FEBRUARY 21, 2023

Hotel price prediction is a critical aspect of the travel industry, and with the rise of machine learning , it has become more precise and accurate. We’ll also share what we learned from our experience building a price prediction module for Rakuten Travel. What is hotel price prediction? The complexity of the hospitality market.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

ProjectPro

FEBRUARY 1, 2022

It’s valuable, but if unrefined it cannot really be used. ” — Clive Humby, 2006 Table of Contents What is a Data Science Case Study? Why are Data scientists tested on case study-based interview questions? Why are Data scientists tested on case study-based interview questions?

Data Science 52

Data Science Datasets Banking Machine Learning 52

DoorDash Engineering

JUNE 20, 2023

In real-world forecasting applications , it is a challenge to balance accuracy and speed. We explore a number of models and configuration combinations at DoorDash to forecast demand on our platform. However, the challenge is to build a forecast model that is highly accurate while also running fast and cheap.

Machine Learning 72

Machine Learning Deep Learning Architecture Designing 72

Snowflake

JUNE 29, 2023

As they seek to understand and explain anomalies quickly, it takes valuable time and effort to dive deep into their data. Analysts struggle to manage all of this while making sure the data they use in advanced analysis is securely processed. Machine learning (ML) algorithms can solve some of these challenges.

Data Science 61

Data Science Datasets Retail BI 61

Knowledge Hut

NOVEMBER 18, 2023

If effectively analyzed, it can help them gain useful insights, enabling them to make decisions regarding consumer behavior, business policies, market trends and more. Thus, organizations are actively implementing machine learning for IoT models in order to fulfill this need. For them, model optimization can be a viable solution.

Machine Learning 52

Machine Learning Transportation Healthcare Medical 52

ProjectPro

JANUARY 27, 2023

Machine learning applications have been making waves across all industries, and the energy sector is no exception. From smart grid technology to predicting equipment failures to forecasting wind and solar power generation, applications of machine learning in energy sector are widespread.

Machine Learning 52

Machine Learning Deep Learning Algorithm Datasets 52

Cloudera

MARCH 23, 2022

Please join us on March 24 for Future of Data meetup where we do a deep dive into Iceberg with CDP . Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: What is Apache Iceberg?

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Metadata Data Architecture BI Machine Learning 90

U-Next

SEPTEMBER 22, 2022

Machine Learning and business intelligence are used in predictive analytics, also known as advanced analytics. . Data from the past is commonly used in predictive analytics models and variables. Predictive modeling projects require historical data to identify patterns and trends. What Are Predictive Models?

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

JANUARY 13, 2022

An average individual uses Google Search more than three times a day. Google uses featured snippets to display an article's summary to respond to users’ queries. There’s one common aspect in both these cases, and that is what you will learn about in this article: Automatic Text Summarization.

Python 52

Python Algorithm Deep Learning Data Science 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

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ProjectPro

JULY 6, 2021

A curated list of interesting, simple, and cool neural network project ideas for beginners and professionals looking to make a career transition into machine learning or deep learning in 2021. Table of Contents Top 15 Neural Network Projects Ideas for 2023 What is a Neural Network? What is a Neural Network?

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Project Deep Learning Banking Healthcare 40

AltexSoft

JUNE 21, 2023

We also investigate predicting ADR through machine learning and strategies to enhance this KPI. This figure excludes rooms that are out of order, used by staff, or given out complimentary. The occupancy rate , on the other hand, denotes the percentage of rooms that were occupied during a specific time frame. What is ADR?

Hospitality 52

Hospitality Management Machine Learning Datasets 52

Netflix Tech

APRIL 29, 2019

By Pythonistas at Netflix, coordinated by Amjith Ramanujam and edited by Ellen Livengood As many of us prepare to go to PyCon, we wanted to share a sampling of how Python is used at Netflix. We use and contribute to many open-source Python packages, some of which are mentioned below.

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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

AltexSoft

MAY 30, 2022

Besides that, customers want timely responses to whatever questions they have. In this post, we’ll focus on what conversational AI is, how it works, and what platforms exist to enable data scientists and machine learning engineers to implement this technology. Simply put, it is an AI you can talk to via text or voice.

Banking 52

Banking Machine Learning Deep Learning Insurance 52

ProjectPro

JULY 9, 2021

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. In that case, this article is for you. What is Deep Learning?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

ProjectPro

DECEMBER 22, 2016

We have collected a library of solved Data Science use-case code examples that you can find here. We add new use-cases every week. The job role of a data analyst involves collecting data and analyzing it using various statistical techniques. 4) How often should you retrain a data model? How to Flatten a Matrix?

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