Analytics Vidhya

JANUARY 31, 2023

Introduction In today’s world, machine learning and artificial intelligence are widely used in almost every sector to improve performance and results. The machine learning algorithms heavily rely on data that we feed to them. But are they still useful without the data? The answer is No.

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KDnuggets

SEPTEMBER 12, 2023

Understanding Machine Learning: Exposing the Tasks, Algorithms, and Selecting the Best Model.

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KDnuggets

FEBRUARY 22, 2022

Machine Learning as a technology, ensures that our current gadgets and their software get smarter by the day. Here are the algorithms that you ought to know about to understand Machine Learning’s varied and extensive functionalities and their effectiveness.

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KDnuggets

SEPTEMBER 7, 2022

This post explains why and when you need machine learning and concludes by listing the key considerations for choosing the correct machine learning algorithm.

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KDnuggets

FEBRUARY 17, 2022

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

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KDnuggets

JUNE 26, 2023

This list of the most commonly used machine learning algorithms in Python and R is intended to help novice engineers and enthusiasts get familiar with the most commonly used algorithms.

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KDnuggets

JUNE 4, 2024

Master the Fundamentals of Predictive Modeling with Python: An In-Depth Guide to Machine Learning Algorithms and Sci-kit Learn Implementation.

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KDnuggets

JULY 24, 2023

When working on a data science problem, one of the most important choices to make is selecting the appropriate machine learning algorithm.

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KDnuggets

JUNE 17, 2022

In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

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Knowledge Hut

MAY 3, 2024

If you are thinking of a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classifications as well as regression problems, K-Nearest Neighbors (K-NN) is a perfect choice. If you explore machine learning with Python syllabus , you will realize the extent of the application of KNN.

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KDnuggets

JULY 13, 2022

Learn about some of the most well known machine learning algorithms in less than a minute each.

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KDnuggets

MARCH 14, 2022

In this article, we will be going through the algorithms that can be used for classification tasks.

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Algorithm Machine Learning 160

KDnuggets

NOVEMBER 21, 2023

Master algorithms, including deep learning like LSTMs, GRUs, RNNs, and Generative AI & LLMs such as ChatGPT, with Packt's 50 Algorithms Every Programmer Should Know.

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Algorithm Computer Science Machine Learning Deep Learning 141

KDnuggets

APRIL 4, 2022

An introduction to the DBSCAN algorithm and its implementation in Python.

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KDnuggets

DECEMBER 17, 2021

How to use scikit-learn, pickle, Flask, Microsoft Azure and ipywidgets to fully deploy a Python machine learning algorithm into a live, production environment.

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Machine Learning Algorithm Python 159

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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Datasets Machine Learning Deep Learning Finance 98

KDnuggets

JULY 1, 2022

In this article, we’ll discuss several linear algorithms and their concepts.

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Algorithm Machine Learning 127

WeCloudData

MARCH 20, 2024

Machine learning is revolutionizing traffic prediction, enhancing route planning and reducing congestion in urban commuting. Explore advanced algorithms like Uni-LSTM and BiLSTM for accurate forecasts, along with Google Maps' integration of deep learning for improved ETA accuracy.

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Knowledge Hut

JULY 28, 2023

Machine learning for anomaly detection is crucial in identifying unusual patterns or outliers within data. By learning from historical data, machine learning algorithms autonomously detect deviations, enabling timely risk mitigation. Why do You Need Machine Learning for Anomaly Detection?

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KDnuggets

AUGUST 15, 2022

ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.

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Analytics Vidhya

JUNE 12, 2023

From humble beginnings to influential […] The post The Journey of a Senior Data Scientist and Machine Learning Engineer at Spice Money appeared first on Analytics Vidhya. In this article, we explore Tajinder’s inspiring success story.

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KDnuggets

AUGUST 22, 2022

Machine Learning Algorithms Explained in Less Than 1 Minute Each • Free Python Automation Course • Free Python Crash Course • The 5 Hardest Things to Do in SQL • 16 Essential DVC Commands for Data Science • 12 Essential VSCode Extensions for Data Science • Parallel Processing Large • File in Python • Linear Algebra for Data Science.

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Machine Learning Algorithm Data Science Python 112

Knowledge Hut

MAY 2, 2024

Doesn’t this piece of information gives you a glimpse of the wondrous possibilities of machine learning and its potential uses? As you move across this post, you would get a comprehensive idea of various aspects that you ought to know about machine learning. What is Machine Learning and Why It Matters?

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KDnuggets

MARCH 18, 2020

Support Vector Machines (SVMs) are powerful for solving regression and classification problems. You should have this approach in your machine learning arsenal, and this article provides all the mathematics you need to know -- it's not as hard you might think.

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KDnuggets

JULY 20, 2022

Machine Learning Algorithms Explained in Less Than 1 Minute Each; Parallel Processing Large File in Python; Free Python Automation Course; How Does Logistic Regression Work?; 12 Most Challenging Data Science Interview Questions.

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Knowledge Hut

JULY 4, 2023

To build a strong foundation and to stay updated on the concepts of Pattern recognition you can enroll in the Machine Learning course that would keep you ahead of the crowd. It is a subfield of machine learning and artificial intelligence. What Is Pattern Recognition?

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ProjectPro

JANUARY 11, 2022

“Machine Learning” is one of the most trending buzzwords. They are built using Machine Learning algorithms. These algorithms majorly fall into two categories - supervised algorithms and unsupervised algorithms. Yes, you are right. What is Classification? What is Regression?

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Knowledge Hut

MARCH 27, 2024

Over the last few decades, machine learning has fundamentally altered how systems function and decisions are made. These days, practically every industry effectively employs various machine learning ideas in one way or another. What is a Machine Learning cheat sheet?

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KDnuggets

DECEMBER 19, 2022

Revise the concepts of machine learning algorithms, frameworks, and methodologies to ace the technical interview round.

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Machine Learning Algorithm 160

KDnuggets

APRIL 8, 2022

Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.

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Algorithm Machine Learning 160

Analytics Vidhya

JUNE 12, 2023

From humble beginnings to influential […] The post The Journey of a Senior Data Scientist and Machine Learning Engineer in Fintech Domain appeared first on Analytics Vidhya. In this article, we explore Tajinder’s inspiring success story.

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Machine Learning Engineering Raw Data Data Science 183

KDnuggets

JUNE 22, 2022

Primary Supervised Learning Algorithms Used in Machine Learning; Top 15 Books to Master Data Strategy; Top Data Science Podcasts for 2022; Prepare Your Data for Effective Tableau & Power BI Dashboards; Generate Synthetic Time-series Data with Open-source Tools.

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Machine Learning Algorithm BI Data Science 108

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

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Striim

JULY 23, 2024

Real-time data and machine learning are revolutionizing how hospitals operate and deliver care. Here’s everything you need to know about how hospitals can leverage advancements of machine learning in healthcare to streamline operations and modernize existing systems. What is Machine Learning in Healthcare?

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Hospitality Healthcare Machine Learning Electronics 52

ProjectPro

NOVEMBER 25, 2021

To mitigate this challenge, organizations are now leveraging natural language processing and machine learning techniques to extract meaningful insights from unstructured text data. Read this blog to learn about text classification, one of the core topics of natural language processing.

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KDnuggets

JANUARY 18, 2023

We will be learning web scraping and training supervised machine-learning algorithms to predict winning teams.

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Netflix Tech

NOVEMBER 11, 2022

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from

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