Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. You might be using machine learning algorithms from everything you see on OTT or everything you shop online.

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ODSC - Open Data Science

MAY 31, 2023

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

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Towards AI

MARCH 28, 2024

The secrets no one tells you but make learning ML a lot easier and enjoyable. There is a lot of scary math and code you need to understand to learn machine learning. years studying machine learning, and it took me way too long to learn these secrets on my own.So It can be very hard!

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Towards AI

JULY 15, 2024

R has become ideal for GIS, especially for GIS machine learning as it has topnotch libraries that can perform geospatial computation. R has simplified the most complex task of geospatial machine learning and data science. Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI.

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Mlearning.ai

NOVEMBER 3, 2023

I think I managed to get most of the ML players in there…?? AI-generated image ( craiyon ) [link] Who By Prior And who by prior, who by Bayesian Who in the pipeline, who in the cloud again Who by high dimension, who by decision tree Who in your many-many weights of net Who by very slow convergence And who shall I say is boosting?

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

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Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

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Towards AI

JULY 17, 2023

Pyspark MLlib | Classification using Pyspark ML In the previous sections, we discussed about RDD, Dataframes, and Pyspark concepts. In this article, we will discuss about Pyspark MLlib and Spark ML. Spark MLlib is a short form of spark machine-learning library. It works on distributed systems and is scalable.

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Data Science Dojo

JULY 23, 2024

With the growing use of machine learning (ML) models to handle, store, and manage data, the efficiency and impact of enterprises have also increased. Categorical data is one such form of information that is handled by ML models using different methods. Learn about 101 ML algorithms for data science with cheat sheets 5.

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Mlearning.ai

MAY 3, 2023

K-Means Clustering What is K-Means Clustering in Machine Learning? K-Means Clustering is an unsupervised machine learning algorithm used for clustering data points into groups or clusters based on their similarity. How is K-Means Clustering Better Than Other Unsupervised Machine Learning Models?

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Mlearning.ai

APRIL 28, 2023

A Complete Beginner’s Guide to Python with Hands-on Examples and Decision Trees Demystified. Upgrade Yourself from Novice to Pro with… Continue reading on MLearning.ai »

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Towards AI

APRIL 4, 2024

Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme. Amidst the hoopla, do people actually understand what machine learning is, or are they just using the word as a text thread equivalent of emoticons?

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Towards AI

APRIL 11, 2023

Hand-Written Digits This problem is a simple example of pattern recognition and is widely used in Image Processing and Machine Learning. Classification In Classification, we use an ML Algorithm to classify the digit based on its features. Artificial Neural Networks (ANNs) are machine learning models that can be used for HDR.

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Mlearning.ai

OCTOBER 2, 2023

Learn how to use them to avoid the biggest scare in ML: overfitting and underfitting. Photo by Arseny Togulev on Unsplash If you’re working with a dataset and trying to build a machine learning model, you probably don’t need all the data and columns that feed into your model. Here’s the overview.

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The MLOps Blog

JANUARY 26, 2024

Training and evaluating models is just the first step toward machine-learning success. To generate value from your model, it should make many predictions, and these predictions should improve a product or lead to better decisions. But what is an ML pipeline? We’ll have to be more precise.

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AWS Machine Learning Blog

MAY 8, 2024

They focused on improving customer service using data with artificial intelligence (AI) and ML and saw positive results, with their Group AI Maturity increasing from 50% to 80%, according to the TM Forum’s AI Maturity Index. Amazon SageMaker Pipelines – Amazon SageMaker Pipelines is a CI/CD service for ML.

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Towards AI

SEPTEMBER 5, 2024

Learn AI Together Community section! Featured Community post from the Discord Aman_kumawat_41063 has created a GitHub repository for applying some basic ML algorithms. It offers pure NumPy implementations of fundamental machine learning algorithms for classification, clustering, preprocessing, and regression.

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Mlearning.ai

NOVEMBER 30, 2023

Mastering Tree-Based Models in Machine Learning: A Practical Guide to Decision Trees, Random Forests, and GBMs Image created by the author on Canva Ever wondered how machines make complex decisions? Just like a tree branches out, tree-based models in machine learning do something similar.

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Flipboard

MARCH 7, 2023

This post presents a solution that uses a workflow and AWS AI and machine learning (ML) services to provide actionable insights based on those transcripts. We use multiple AWS AI/ML services, such as Contact Lens for Amazon Connect and Amazon SageMaker , and utilize a combined architecture. Validation set 11 1500 0.82

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DagsHub

JUNE 3, 2024

The pedestrian died, and investigators found that there was an issue with the machine learning (ML) model in the car, so it failed to identify the pedestrian beforehand. But First, Do You Really Need to Fix Your ML Model? Read more about benchmarking ML models. How do you choose an appropriate ML model?

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Mlearning.ai

NOVEMBER 29, 2023

How to Use Machine Learning (ML) for Time Series Forecasting — NIX United The modern market pace calls for a respective competitive edge. Data forecasting has come a long way since formidable data processing-boosting technologies such as machine learning were introduced.

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Pickl AI

NOVEMBER 28, 2024

Summary: The blog discusses essential skills for Machine Learning Engineer, emphasising the importance of programming, mathematics, and algorithm knowledge. Understanding Machine Learning algorithms and effective data handling are also critical for success in the field. billion in 2022 and is expected to grow to USD 505.42

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Mlearning.ai

APRIL 12, 2023

With the emergence of machine learning (ML), developers now have an innovative approach for optimizing AngularJS performance. In this article, we’ll explore the concept of using ML to enhance AngularJS performance and provide practical tips for implementing ML strategies in your development process.

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Pickl AI

SEPTEMBER 16, 2024

Summary: This blog highlights ten crucial Machine Learning algorithms to know in 2024, including linear regression, decision trees, and reinforcement learning. As we move into 2024, understanding the key algorithms that drive Machine Learning is essential for anyone looking to work in this field.

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Pickl AI

APRIL 5, 2023

Machine Learning is one of the transforming technologies that has had a ripple effect across the industry domain. ML forms the underlying platform for several new developments. Hence, it has also triggered the demand for ML experts. Acquiring Machine Learning skills can have catalytic impact on your professional growth.

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Pickl AI

OCTOBER 24, 2024

Summary: This article compares Artificial Intelligence (AI) vs Machine Learning (ML), clarifying their definitions, applications, and key differences. While AI aims to replicate human intelligence across various domains, ML focuses on learning from data to improve performance. What is Machine Learning?

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Pickl AI

SEPTEMBER 30, 2024

Summary: Machine Learning significantly impacts businesses by enhancing decision-making, automating processes, and improving customer experiences. Introduction Machine Learning (ML) is revolutionising the business world by enabling companies to make smarter, data-driven decisions.

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Mlearning.ai

APRIL 4, 2023

Photo by Scott Graham on Unsplash Introduction Machine Learning has become indispensable for the finance industry. Financial applications, especially Credit Risk Modelling, have benefited significantly from the use of Machine Learning (and Artificial Intelligence, to a degree). How Does ML Benefit Credit Risk Modelling?

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Mlearning.ai

FEBRUARY 17, 2023

A complete explanation of the most widely practical and efficient field, that nowadays has an impact on every industry Photo by Thomas T on Unsplash Machine learning has become one of the most rapidly evolving and popular fields of technology in recent years. How is it actually looks in a real life process of ML investigation?

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Pickl AI

MARCH 6, 2024

Summary: Machine Learning interview questions cover a wide range of topics essential for candidates aiming to secure roles in Data Science and Machine Learning. Employers seek candidates who can demonstrate their understanding of key machine learning algorithms. What is Machine Learning?

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Mlearning.ai

APRIL 6, 2023

⚠ You can solve the below-mentioned questions from this blog ⚠ ✔ What if I am building Low code — No code ML automation tool and I do not have any orchestrator or memory management system ? ✔ how to reduce the complexity and computational expensiveness of ML models ? will my data help in this ?

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Pickl AI

JANUARY 3, 2024

Feature engineering in machine learning is a pivotal process that transforms raw data into a format comprehensible to algorithms. Embrace the benefits of feature engineering to unlock the full potential of your Machine-Learning endeavors and achieve accurate predictions in diverse real-world scenarios.

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Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. Data Science enhances ML accuracy through preprocessing and feature engineering expertise.

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Pickl AI

AUGUST 6, 2023

Machine Learning has become a fundamental part of people’s lives and it typically holds two segments. It includes supervised and unsupervised learning. Supervised Learning deals with labels data and unsupervised learning deals with unlabelled data. What is Regression in ML?

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Pickl AI

MAY 17, 2023

Machine learning empowers the machine to perform the task autonomously and evolve based on the available data. However, while working on a Machine Learning algorithm , one may come across the problem of underfitting or overfitting. Both these aspects can impact the performance of the Machine Learning model.

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Mlearning.ai

MARCH 13, 2023

Photo by Andy Kelly on Unsplash Choosing a machine learning (ML) or deep learning (DL) algorithm for application is one of the major issues for artificial intelligence (AI) engineers and also data scientists. ML algorithms and their application [table by author] Table 2. Here I wan to clarify this issue.

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