Knowledge Hut

JANUARY 11, 2024

evacuation before cyclone ''Fani'' Entertainment Industry: Netflix u ses data science to personalize the content and improve recommendations. Several NLP algorithms have been developed for the topics of safety, efficacy, randomized controlled trials, patient populations, dosing, and devices.

Data Science 98

Data Science Transportation Hospitality Banking 98

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. The process of cooking the right food for your algorithm falls into two key steps.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

JULY 21, 2021

As we already revealed in our Machine Learning NLP Interview Questions with Answers in 2021 blog, a quick search on LinkedIn shows about 20,000+ results for NLP-related jobs. 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

Knowledge Hut

JUNE 27, 2023

million in 2021 and is expected to keep growing. This growth is because of big data analytics, cloud computing, and IOT in industries. from 2021 to 2031. from 2021 to 2031. Meanwhile, computer science graduates are well paid with a median salary upwards of $97,430 per year in May 2021. million by 2027.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

ProjectPro

MARCH 5, 2021

The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems. Here we will use the SVD algorithm for matrix factorization of the recommender system.

Algorithm 40

Algorithm Systems Python Datasets 40

LinkedIn Engineering

MARCH 21, 2023

Our taxonomy includes machine learning (skill concept), the skill ID (a number assigned to each skill), aliases (e.g. soft or hard skill), descriptions of the skill (“the study of computer algorithms…”), and more. reinforcement learning” is a child skill of “machine learning”), which we’ll discuss more below.

Building 85

Building Recruitment Machine Learning Deep Learning 85

ProjectPro

OCTOBER 16, 2021

It contains codes to support the implementation of machine learning algorithms in Python. Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms. When using deep learning algorithms , most people believe that they need highly advanced and expensive computer systems.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

JANUARY 20, 2022

This makes artificial intelligence and machine learning jobs among the hottest in the world today!! The ai and machine learning job opportunities have grown by 32% since 2019, according to Linkedin’s ‘ Jobs on the Rise ’ list in 2021. As a result, Duolingo knows when to recommend that you retake the course.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

NOVEMBER 24, 2021

. “Data Scientist” job was ranked as the best job in America for four consecutive years in a row ( 2016-2019). In 2020, it ranked at number three, but it has stepped up again to number two in the current year, 2021. The above statistics clearly reflect that it is still an excellent time to become a data scientist.

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

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. Applications of Neural Networks Why building Neural Network Projects is the best way to learn deep learning?

Project 40

Project Deep Learning Banking Healthcare 40

ProjectPro

JULY 19, 2021

Computer Vision Engineer Interview Questions on Deep Learning: Convolutional Neural Network 1) Explain with an example why the inputs in computer vision problems can get huge. 19) What color to grayscale conversion algorithm does OpenCV employ? This filter will extract horizontal edges from the image.

Engineering 40

Engineering Deep Learning Algorithm Machine Learning 40

ProjectPro

DECEMBER 10, 2021

Business Intelligence in Healthcare: It has become common to use patients’ data to better diagnose diseases. Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

ProjectPro

NOVEMBER 3, 2021

These subdomains include Data Mining , Natural Language Processing, Computer Vision , Data Visualization , etc. Recommended Reading: How to learn NLP from scratch in 2021? But, you must wonder how a freelance data scientist knows what their bias is in Data Science? The answer is simple: Practice.

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

ProjectPro

JUNE 18, 2021

Which has a better future: Python or Java in 2021? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. Table of Contents Java vs Python - Which language fills the need and mesh well with data science?

Java 52

Java Data Science Python Programming Language 52

ProjectPro

SEPTEMBER 29, 2021

1) Predicting Sales of BigMart Stores 2) Insurance Claims Severity Prediction Learning Probability and Statistics for Machine Learning Whenever we work on a project that uses a machine-learning algorithm, there are two significant steps involved. How to choose the Best Statistics Course for Machine Learning?

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

ProjectPro

NOVEMBER 18, 2021

Data Science Case Studies in Retail 1) Walmart With humble beginnings as a simple discount retailer, today, Walmart operates in 10,500 stores and clubs in 24 countries and eCommerce websites, employing around 2.2 Walmart is a data-driven company that works on the principle of 'Everyday low cost' for its consumers.

Data Science 52

Data Science Project Food Pharmaceutical 52

ProjectPro

JUNE 7, 2021

So, these are the three things that you need to know beforehand to learn how to build a chatbot in Python - 1. Lemmatization Download the Python Notebook to Build a Python Chatbot Neural Network It is a deep learning algorithm that resembles the way neurons in our brain process information (hence the name). api/losses/.

Python 52

Python Project Building Datasets 52

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

Data Science Medical Datasets Machine Learning 52

ProjectPro

AUGUST 25, 2021

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 , as the name suggests, is about training a machine to learn hidden patterns in a dataset through mathematical algorithms.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

ProjectPro

JUNE 1, 2017

RecoverX is described as app-centric and can back up applications data whilst being capable of recovering it at various granularity levels to enhance storage efficiency. By offering support for RDBMS and Hadoop, Datos IO has become a data protection and migration platform for its customers. Forrester.com, May 4, 2017.

Hadoop 52

Hadoop Medical Pipeline-centric Database-centric 52

ProjectPro

JUNE 9, 2021

Data Engineer vs Data Scientist: Which is better? FAQs on Data Engineer vs Data Scientist Data Engineer vs Data Scientist: Demand With the rising volume of data and the adoption of IoT and Big data technologies, data scientists and data engineers will be in high demand in practically every IT-based firm.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 10, 2021

Upskill yourself for your dream job with industry-level big data projects with source code Time Series Analysis in R or Python Python and R are both great programming languages for performing time series. Sensor technology will capture real-time sensor data, such as the heart rate of a person.

Project 40

Project Banking Datasets Python 40

ProjectPro

OCTOBER 28, 2021

Not only that, but many professionals are also investing their time in understanding machine learning methods to become more efficient at their jobs. This statistic suggests that the popularity of machine learning (ML) among different organisations is definitely going to increase in the future. that are there in our repository.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

MAY 2, 2017

Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. After Hortonworks, now the big guy in the big data world - Cloudera is going public but not as a hadoop distribution platform. Source : [link] ) Data Works, Hadoop 3.0

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52

ProjectPro

FEBRUARY 11, 2021

In a word, yes; machine learning engineers seem to have weathered the storm relatively well. ML engineers entered LinkedIn’s top 15 in-demand jobs for 2021, and we can see this continuing beyond 2021. They are responsible for the end-to-end implementation and optimization of machine learning algorithms.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

ProjectPro

JULY 28, 2021

Data analytics combined with machine learning algorithms and Artificial Intelligence (AI) technologies predict the data patterns and trends in these applications, and there is no surprise that Google has mastered it. What are the essential qualities and features of an algorithm?

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

Databand.ai

DECEMBER 29, 2022

Scott is the author of Telling Your Data Story , a top thought leader in big data, digital transformation, and business strategy on Thinkers360 , and recently joined an episode of Databand’s MAD Data Podcast to discuss the relevance and irrelevance of data quality. The Complete Reference.

BI 52

BI Consulting Data Science Data Governance 52

Databand.ai

DECEMBER 20, 2022

In his role at LendingTree, he works closely with the data engineering team, synthesizes findings from data to provide actionable recommendations, and works with tree-based algorithms. Eric is certified in Lean Six Sigma and experienced in Python, SQL, and machine learning.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

ProjectPro

FEBRUARY 5, 2021

Image classification , a subfield of computer vision helps in processing and classifying objects based on trained algorithms. MNIST handwritten digits dataset is the most used for learning Image Recognition. It can be used as a primary dataset for anyone trying to tackle a medical classification problem using deep learning.

Datasets 40

Datasets Deep Learning Medical Algorithm 40

ProjectPro

OCTOBER 20, 2021

Let's understand where Data Science belongs in the space of Artificial Intelligence. The estimator automatically performs the algorithm selection as well as the hyperparameter tuning Auto-Keras : To recall, Keras is an open-source library that provides a Python interface into the world of Artificial Intelligence, especially Tensorflow.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

MARCH 19, 2021

Recommended Reading: The A-Z Guide to Gradient Descent Algorithm and Its Variants A Comprehensive Guide to Ensemble Learning Methods Data Engineer vs Data Scientist- The Differences You Must Know Logistic Regression vs Linear Regression in Machine Learning Best NLP Books- What Data Scientists Must Read in 2021?

Datasets 40

Datasets Python Machine Learning Algorithm 40

ProjectPro

FEBRUARY 19, 2021

Regression Analysis: Understanding the Related Terminology But before we go any further, let’s look at some of the most common terminologies associated with regression analysis that will come up: Outliers : Outliers are basically values or data points that are very stray from the general population or distribution of data.

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40