Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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Towards AI

APRIL 27, 2023

Understanding the Principles, Challenges, and Applications of Gradient Descent Image by Author with @MidJourney Introduction to Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning and data science to find the optimal values of the parameters in a model.

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How to Learn Machine Learning

DECEMBER 15, 2024

In the rapidly evolving world of technology, machine learning has become an essential skill for aspiring data scientists, software engineers, and tech professionals. Coursera Machine Learning Courses are an exceptional array of courses that can transform your career and technical expertise.

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Mlearning.ai

MAY 22, 2023

Support Vector Machine: A Comprehensive Guide — Part2 In my last article, we discussed SVMs, the geometric intuition behind SVMs, and also Soft and Hard margins. Transformed Data into 2-D Data Conclusion Support Vector Machines (SVMs) offer a powerful framework for classification and regression tasks.

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IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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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. The algorithm can be trained on a dataset of labeled digit images, which allows it to learn to recognize the patterns in the images.

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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

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. It equips you to build and deploy intelligent systems confidently and efficiently.

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Towards AI

FEBRUARY 23, 2024

Learn how to apply state-of-the-art clustering algorithms efficiently and boost your machine-learning skills.Image source: unsplash.com. In this introduction guide, I will formally introduce you to clustering in Machine Learning. Author(s): Riccardo Andreoni Originally published on Towards AI.

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How to Learn Machine Learning

JANUARY 21, 2023

Check out our best 7 Artificial Intelligence Project Ideas to enhance your practice and level up your skill! As Artificial Intelligence (AI) continues to become more and more prevalent in our daily lives, it’s no surprise that more and more people are eager to learn how to work with the technology.

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How to Learn Machine Learning

JUNE 9, 2024

The thought of machine learning and AI will definitely pop into your mind when the conversation is about emerging technologies. Today, we see tools and systems with machine-learning capabilities in almost every industry. Finance institutions are using machine learning to overcome healthcare fraud challenges.

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ODSC - Open Data Science

FEBRUARY 13, 2023

Top 3 Free Training Sessions Microsoft Azure: Machine Learning Essentials This series of videos from Microsoft covers the entire stack of machine learning essentials with Microsoft Azure. A few standout topics include model deployment and inferencing, MLOps, and multi-cloud machine learning.

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Dataconomy

OCTOBER 5, 2023

Artificial intelligence, one of the most talked about topics in today’s technology world, has played a huge role in bringing many things into our lives, especially in the last five years. But does that mean artificial intelligence is perfect? Firstly, data collection is essential.

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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. Submission Suggestions How do I choose a machine learning algorithm for my application?

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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

NOVEMBER 18, 2024

Summary: The blog provides a comprehensive overview of Machine Learning Models, emphasising their significance in modern technology. It covers types of Machine Learning, key concepts, and essential steps for building effective models. The global Machine Learning market was valued at USD 35.80

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How to Learn Machine Learning

AUGUST 14, 2024

Machine learning for text extraction with Python is one of the best combos out there for this task. In this blog post, we’ll talk about how one can use Machine learning and Python to perform text extraction with the highest level of accuracy. You can use it to teach computers and measure their learning progress.

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Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. 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. What is Machine Learning?

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Dataconomy

FEBRUARY 24, 2023

AI guides: Learning how to use AI is a game changer Spoiler alert : Almost every sector in the world will be affected by AI. The term “artificial intelligence” (AI) describes machines’ ability to mimic human intelligence. Yes, even lawyers, doctors, and more. Let’s explain it briefly.

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Dataconomy

JUNE 13, 2023

Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights. Think of decision intelligence as a synergy between the human mind and cutting-edge algorithms. What is decision intelligence?

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Mlearning.ai

APRIL 6, 2023

In this article, we will discuss some of the factors to consider while selecting a classification & Regression machine learning algorithm based on the characteristics of the data. For larger datasets, more complex algorithms such as Random Forest, Support Vector Machines (SVM), or Neural Networks may be more suitable.

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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. AI refers to developing machines capable of performing tasks that require human intelligence.

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Becoming Human

MARCH 16, 2023

How AI is applied Artificial Intelligence covers various technologies and approaches that involve using sophisticated computational methods to mimic elements of human intelligence such as visual perception, speech recognition, decision-making, and language understanding. A few AI technologies are empowering drug design.

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Dataconomy

AUGUST 9, 2023

This is where the power of machine learning (ML) comes into play. Machine learning algorithms, with their ability to recognize patterns, anomalies, and trends within vast datasets, are revolutionizing network traffic analysis by providing more accurate insights, faster response times, and enhanced security measures.

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Heartbeat

MARCH 8, 2023

Text Categorization Text categorization is a machine-learning approach that divides the text into specific categories based on its content. R has a rich set of libraries and tools for machine learning and natural language processing, making it well-suited for spam detection tasks.

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Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. An AI model is a crucial part of artificial intelligence.

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Dataconomy

APRIL 4, 2023

Artificial intelligence (AI) is a broad term that encompasses the ability of computers and machines to perform tasks that normally require human intelligence, such as reasoning, learning, decision-making, and problem-solving. An AI model is a crucial part of artificial intelligence.

K-nearest Neighbors 91

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Mlearning.ai

APRIL 8, 2023

SOTA (state-of-the-art) in machine learning refers to the best performance achieved by a model or system on a given benchmark dataset or task at a specific point in time. The earlier models that were SOTA for NLP mainly fell under the traditional machine learning algorithms. Before we go any further, let’s introduce NLP.

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Data Science Blog

OCTOBER 20, 2024

Algorithmic Attribution using binary Classifier and (causal) Machine Learning While customer journey data often suffices for evaluating channel contributions and strategy formulation, it may not always be comprehensive enough. Moreover, random forest models as well as support vector machines (SVMs) are also frequently applied.

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Pickl AI

JULY 14, 2023

Artificial Intelligence has been able to gain immense momentum today and is transforming every industry in the world. Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications.

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Pickl AI

SEPTEMBER 10, 2024

Summary : The Perceptron is a simple artificial neuron used for binary classification in Machine Learning. Despite its limitations, the Perceptron laid the groundwork for more complex neural networks and Deep Learning advancements. However, if the data is not linearly separable, the Perceptron may fail to converge.

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Towards AI

JULY 20, 2023

It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques. This ongoing process straddles the intersection between evidence-based medicine, data science, and artificial intelligence (AI). This study by Bui et al.

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AWS Machine Learning Blog

JANUARY 17, 2024

We then discuss the various use cases and explore how you can use AWS services to clean the data, how machine learning (ML) can aid in this effort, and how you can make ethical use of the data in generating visuals and insights. In this first post, we introduce mobility data, its sources, and a typical schema of this data.

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Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. While Classification is an example of directed Machine Learning technique, Clustering is an unsupervised Machine Learning algorithm.

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Heartbeat

OCTOBER 23, 2023

Revolutionizing Healthcare through Data Science and Machine Learning Image by Cai Fang on Unsplash Introduction In the digital transformation era, healthcare is experiencing a paradigm shift driven by integrating data science, machine learning, and information technology.

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