Knowledge Hut

APRIL 26, 2024

Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Quality data is therefore important to ensure the efficacy of a machine learning model.

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Machine Learning Datasets Deep Learning Finance 98

Knowledge Hut

DECEMBER 26, 2023

You can look for data science certification courses online and choose one that matches your current skill levels, schedule, and the outcome you desire. Mathematical concepts like Statistics and Probability, Calculus, and Linear Algebra are vital in pursuing a career in Data Science.

Data Science 97

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Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

Data Science 52

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Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

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Knowledge Hut

MAY 1, 2024

This is where Data Science comes into the picture. The art of analysing the data, extracting patterns, applying algorithms, tweaking the data to suit our requirements, and more – are all part s of data science.

Algorithm 98

Algorithm Raw Data Data Science Computer Science 98

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.

Data Science 98

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ProjectPro

FEBRUARY 16, 2023

The study and pattern of how humans think is the foundation of artificial intelligence, and the algorithm replicates human brain functions. Focus Historical data analysis, reporting, and visualization. Predictive and prescriptive analytics, machine learning, and deep learning.

Business Intelligence 52

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Knowledge Hut

JUNE 10, 2024

Pattern Among the various Python frameworks available, Pattern is particularly well-suited for Data Science tasks. It provides a comprehensive set of tools for Data Mining, Machine learning, and Natural Language Processing. Scikit-Learn Scikit-Learn is one of the best Python Data Science frameworks for Machine learning.

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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.

Data Mining 40

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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.

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Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

DECEMBER 26, 2023

In this list, you will find the best data scientist books to take you further in your career as a data scientist. Deep Learning By Ian Goodfellow, Yoshua Bengio, and Aaron Courville As an advanced learner, this book should be your Bible for learning about deep learning algorithms.

Data Science 52

Data Science Programming Language Scala R (Programming) 52

Knowledge Hut

FEBRUARY 1, 2024

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. The heart of this system lies in the algorithm used in movie recommendation system.

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U-Next

AUGUST 8, 2022

What Are the Distinctions Between Machine Learning and Data Mining? In contrast, information mining is the practice of trying to remove information or intriguing patterns from unstructured data. Learning algorithms are applied in this processing system. The system is not taught on labelled data.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

Knowledge Hut

JUNE 11, 2024

Importance of Java for Data Science: When it comes to data science, Java delivers a host of data science methods such as data processing, data analysis, data visualization statistical analysis, and NLP. Data Science , Artificial Intelligence , and Machine Learning are tempting big money today.

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ProjectPro

OCTOBER 26, 2021

A machine learning framework is a tool that lets software developers, data scientists, and machine learning engineers build machine learning models without having to dig into the underlying working principle(math and stat) of the machine learning algorithms. It is Spark's fundamental data structure.

Machine Learning 52

Machine Learning Programming Language Deep Learning Healthcare 52

U-Next

SEPTEMBER 13, 2022

A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information. The fundamental building blocks of Data Science are Statistics, Machine Learning, Computer Science, Data Analysis, Deep Learning, and Data Visualization. .

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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.

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U-Next

SEPTEMBER 29, 2022

A number of hyperparameters are typically included in newer algorithms. Scikit Learn . There are many Machine Learning libraries, but Scikit-learn is one of the most famous. The algorithm includes a number of calculations necessary for AI and data mining assignments, such as bunching, relapse, and order.

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Knowledge Hut

MAY 23, 2024

Matlab: Matlab is a closed-source, high-performing, numerical, computational, simulation-making, multi-paradigm data science tool for processing mathematical and data-driven tasks. Through this tool, researchers and data scientists can perform matrix operations, analyze algorithmic performance, and render data statistical modeling.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

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Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. Python and R are the best languages for Data Science.

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Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

JULY 31, 2023

Product Advertising Recommendation in E-commerce Based on Deep Learning and Distributed Expression Objective of the Paper: This paper helps explore and develop a sophisticated recommendation system for product advertising by utilizing deep learning techniques and distributed expression methods. Why Choose this Paper?

Electronics 52

Electronics Deep Learning Big Data Data Analytics 52

ProjectPro

DECEMBER 21, 2021

Machine learning, unlike other fields, has a global reach when it comes to job opportunities. The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge.

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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

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’s a study of Computer Algorithms, which helps self-improvement through experiences. Like Java, C, Python, R, and Scala. is highly beneficial.

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Medical Computer Science Scala Machine Learning 52

U-Next

OCTOBER 27, 2022

AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. AI helps develop self-learning systems that can learn from experience without requiring human intervention or programming effort. .

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ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Design NLP-based applications to solve customer needs.

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U-Next

OCTOBER 16, 2022

AI is a branch of computer science that deals with making computers intelligent by writing algorithms with human-like characteristics like learning and problem-solving. AI helps develop self-learning systems that can learn from experience without requiring human intervention or programming effort. .

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Cloud Computing Cloud Algorithm Machine Learning 40

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.

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U-Next

AUGUST 25, 2022

Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. TensorFlow.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

U-Next

SEPTEMBER 22, 2022

The concept of predictive modeling can be explained as a form of data mining in which historical data is analyzed to identify patterns or trends, and then that knowledge is used to estimate the future. . Understanding The Types Of Predictive Modeling Algorithms . Benefits of Predictive Modeling . Random Forest .

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Hospitality Algorithm Machine Learning Banking 40

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

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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

Pinterest Engineering

MARCH 5, 2024

To make the ads Click-through rate (CTR) predictions more personalized, our team has adopted users’ real time behavior histories and applied deep learning algorithms to recommend appropriate ads to users. Model Stability: Resilient Batch Norm Improving the stability and training speed of deep learning models is a crucial task.

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Machine Learning Deep Learning Architecture Data Mining 72

ProjectPro

JUNE 18, 2021

Java is also used by many big companies including Uber and Airbnb to process their backend algorithms. SciKit-learn: The SciKit-learn library of Python can be used for data mining and data analysis. Java Data Science Libraries Like Python, Java also has a range of libraries for working with Data Science.

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Java Data Science Python Programming Language 52

AltexSoft

JULY 27, 2021

These days, the true power of customer experience personalization can be realized with the help of machine learning. By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. Source: Medium.

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U-Next

JULY 4, 2022

Collecting a large amount of data cannot benefit an organisation if there’s no good way to interpret it. Let’s Know About Data Science. In simple language, data science is analysing data using technology, algorithm, and inferences. Why is Data Science Important? Help to Interpret Data.

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