ProjectPro

JULY 23, 2021

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. There are a lot of deep learning frameworks available.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. Mathematical concepts like Statistics and Probability, Calculus, and Linear Algebra are vital in pursuing a career in Data Science.

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Data Science BI Business Intelligence Data Mining 97

U-Next

SEPTEMBER 13, 2022

Before we begin, rest assured that this compilation contains Data Science interview questions for freshers as well as early professionals. You will also learn top Machine Learning interview questions along the way! . Due to the immense value of data, Data Science has become increasingly popular over time.

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

ProjectPro

DECEMBER 21, 2021

Did you know that the global machine learning market, according to Fortune Business Insights, is expected to reach a whopping $152.24 Machine learning, unlike other fields, has a global reach when it comes to job opportunities. This includes knowledge of data structures (such as stack, queue, tree, etc.),

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

MAY 1, 2024

These steps will help understand the data, extract hidden patterns and put forward insights about the data. Many analyses have revealed that Data Scientist, Machine Learning Engineer, Artificial Intelligence Engineer are some of the most sought-after jobs. Not to forget the high pay that comes with it.

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Algorithm Raw Data Computer Science Data Science 98

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. Why should you learn Machine learning?

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Knowledge Hut

JANUARY 18, 2024

Data science is the study of huge amounts of data using current tools and methodologies to discover previously unknown patterns, extract valuable information, and make business choices. To create prediction models, data scientists employ sophisticated machine learning algorithms. Clean up the data.

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Data Science R (Programming) Computer Science Algorithm 98

Knowledge Hut

JANUARY 18, 2024

Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation. Get to know more about data science management.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

DECEMBER 26, 2023

Some of the reasons why this book is ideal for beginner-level students are listed below: It covers topics that are fundamental in the field of data science The language is easy to comprehend You will learn the basics of statistics in data science Important topics like distribution, randomization, sampling, and the like are covered in depth.

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Data Science Scala Programming Language R (Programming) 52

U-Next

FEBRUARY 26, 2023

with the help of Data Science. Data Science is a broad term that encompasses many different disciplines, such as Machine Learning, Artificial Intelligence (AI), Data Visualization, Data Mining, etc. Google has an entire division devoted to AI and Machine Learning: Google Brain.

Data Science 98

Data Science Machine Learning Consulting Food 98

Knowledge Hut

JANUARY 19, 2024

Acknowledging the escalating demand for data scientists, institutions globally are intensifying efforts to provide comprehensive training aligned with the Data Science Course Syllabus. Exploring data science, I focus on key topics like statistical analysis, machine learning, data visualization, and programming in my course syllabus.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

FEBRUARY 1, 2024

Machine learning (ML) offers just that - an advanced technology to help users find the exact films they want. To ensure that the algorithms used in the system are valid & effective, professionals in the industry aim to achieve certification through a Machine Learning certification exam. Let's explore together!

Systems 98

Systems Entertainment Algorithm Datasets 98

U-Next

SEPTEMBER 23, 2022

Data aggregation and data mining are two essential techniques used in descriptive analytics to analyze historical data and find patterns and trends. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Descriptive Analytics. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

U-Next

SEPTEMBER 29, 2022

Scikit Learn . There are many Machine Learning libraries, but Scikit-learn is one of the most famous. Numerous calculations related to supervised and unsupervised learning are based on it. You are likely to have learned about, attempted, or executed deep learning calculations if you have worked in AI.

Management 52

Management Machine Learning Deep Learning Algorithm 52

ProjectPro

FEBRUARY 16, 2023

Predictive and prescriptive analytics, machine learning, and deep learning. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. Structured, semi-structured, and unstructured data from multiple sources, such as social media, IoT devices, and sensors.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

DECEMBER 6, 2023

Post-graduation in Machine Learning Data Science or Business Analytics: These are the hot sellers or takers in the data scientist field. You can opt for post-graduation programs and get qualified for trending fields like artificial intelligence, machine learning , and deep learning.

Engineering 52

Engineering Computer Science Programming Language Education 52

ProjectPro

JANUARY 24, 2023

Project Idea: NLP Project to Build a Resume Parser in Python using Spacy Gensim Gensim is the Python library used for vectorizing textual data before passing the data at the input of a machine learning model. It is one of the leading libraries for working with textual data.

Python 52

Python Project Programming Language Data Mining 52

Knowledge Hut

JANUARY 22, 2024

Data science is a field of study that combines industry expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data scientists apply machine learning algorithms to numbers, text, images, video, audio, and more to create artificial intelligence (AI) systems.

Data Science 52

Data Science Banking Big Data Insurance 52

U-Next

OCTOBER 27, 2022

Machine Learning is a subset of AI which teaches computers to perform human-like functions, such as speech recognition and image processing, by solving complex problems using algorithms. For example, facial recognition software learns to identify faces by comparing them against a database of images. . Supervised Learning: .

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

OCTOBER 16, 2022

Machine Learning is a subset of AI which teaches computers to perform human-like functions, such as speech recognition and image processing, by solving complex problems using algorithms. For example, facial recognition software learns to identify faces by comparing them against a database of images. . Supervised Learning: .

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

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.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

JUNE 18, 2021

Why do data scientists love Python for Data Science? This is the major reason Python has shown itself to be a prevalent choice for Data Science. There are always new data science and machine learning libraries rolled out to meet different data science requirements. renamed to Java.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. Once this knowledge is applied, the data is cleaned and organized using techniques such as data analysis, feature engineering, and machine learning to make it usable and reliable.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

JUNE 9, 2021

For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences. One may use the processed data in other processes like data visualizations, business analytics, etc. is essential to becoming a Data Engineering professional.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

DECEMBER 17, 2021

One way to help the investors is to give them a fair idea of the risks involved by predicting the returns using machine learning. You must try to use the advanced technology of machine learning and estimate the short-term returns for 14 popular cryptocurrencies.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

Project 40

Project Deep Learning Datasets Medical 40

Knowledge Hut

JANUARY 22, 2024

Course Specializations Data science courses offer various specializations that allow students to focus their learning on specific areas of interest. Students learn to build, train and optimize models using Python, R, TensorFlow and other libraries. Students learn to work with tools like Tableau, Excel, SQL etc.

Data Science 52

Data Science Certification Education Data Lake 52

U-Next

DECEMBER 2, 2022

How do machine learning and artificial intelligence technologies help businesses ? Using AI, prospective borrowers’ data can be analyzed to simplify most processes. . Managing customer data : In order to succeed in business, data management must be efficient. What Is the Goal of Artificial Intelligence?:

Management 40

Management Recruitment Finance Data Mining 40

U-Next

JULY 4, 2022

Therefore the demand for data scientists and other data science professionals is increasing. Anyone who desires to pursue a data scientist career path should have deep knowledge of mathematics, statistics, deep learning, artificial intelligence, machine learning, etc. Data Analysts.

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

ProjectPro

NOVEMBER 3, 2021

How to Become a Freelance Data Scientist Step-1: Explore the world of Data Science and Identify your bias It becomes difficult to know every nut and bolt of all the application systems when it comes to Data Science. That is primarily because the field of Data Science has quite a lot of subdomains to explore.

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Portfolio Data Science Algorithm Programming Language 52

Knowledge Hut

NOVEMBER 28, 2023

But before we talk about the salary of a data scientist in India, we have to talk about what Data Science is and why it is so important in the current business sector. As we already said before, Data Science is a field where different methods are used to extract important insights from batches of data.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

U-Next

AUGUST 16, 2022

Introduction: About Deep Learning Python. Initiatives based on Machine Learning (ML) and Artificial Intelligence (AI) are what the future has in store. What Is Deep Learning Python? Why Does Python Excel As A Machine Learning Programming Language?

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Deep Learning Python Programming Language Machine Learning 52

Zalando Engineering

OCTOBER 17, 2016

We recently launched Zalando Research as a place where we can focus and conduct cutting edge research, as well as contribute actively to the research community in the areas of machine learning (ML), AI, natural language processing, and deep learning.

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Data Mining Deep Learning Data Science Computer Science 40