Pickl AI

FEBRUARY 2, 2025

It identifies hidden patterns in data, making it useful for decision-making across industries. Compared to decision trees and SVM, it provides interpretable rules but can be computationally intensive. Key applications include fraud detection, customer segmentation, and medical diagnosis.

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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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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

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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ODSC - Open Data Science

NOVEMBER 13, 2023

Predictive analytics is rapidly becoming indispensable in data-driven decision-making, especially grant funding. It uses statistical algorithms and machine learning techniques to analyze historical data and predict future outcomes.

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IBM Journey to AI blog

AUGUST 9, 2024

Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. It extracts insights from historical data to make accurate predictions about the most likely upcoming event, result or trend. Regression models determine correlations between variables.

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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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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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Dataconomy

JULY 18, 2023

AI techniques for real-time quoting AI Techniques for Real-Time Quoting involve various technologies and algorithms that leverage machine learning, natural language processing, and predictive analytics to generate accurate and timely quotations.

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Dataconomy

MAY 25, 2023

Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions. On the other hand, artificial intelligence is the simulation of human intelligence in machines that are programmed to think and learn like humans.

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Dataconomy

APRIL 4, 2023

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. These models are designed to replicate the human brain’s cognitive functions, enabling them to perceive, reason, learn, and make decisions based on data.

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Dataconomy

APRIL 4, 2023

Artificial Intelligence (AI) models are the building blocks of modern machine learning algorithms that enable machines to learn and perform complex tasks. These models are designed to replicate the human brain’s cognitive functions, enabling them to perceive, reason, learn, and make decisions based on data.

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Dataconomy

JUNE 13, 2023

At its core, decision intelligence involves collecting and integrating relevant data from various sources, such as databases, text documents, and APIs. This data is then analyzed using statistical methods, machine learning algorithms, and data mining techniques to uncover meaningful patterns and relationships.

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Pickl AI

NOVEMBER 5, 2024

Key Takeaways Data-driven decisions enhance efficiency across various industries. Predictive analytics improves customer experiences in real-time. Artificial Intelligence, on the other hand, refers to the simulation of human intelligence in machines programmed to think and learn like humans.

Data Science 52

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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. ML catalyses AI advancements, enabling systems to evolve and improve decision-making.

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Pickl AI

JULY 1, 2024

If using machine learning models, ensure features are on a similar scale to prevent certain features from dominating the model. Machine Learning Techniques for Demand Forecasting Machine Learning (ML) offers powerful tools for tackling complex demand forecasting challenges.

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AWS Machine Learning Blog

MAY 8, 2024

This success story emphasizes the crucial role of predictive analytics in staying ahead in the competitive telecom industry, demonstrating the transformative impact of advanced AI models. We appreciate you for reading this post, and hope you learned something new and useful.

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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. Introduction Artificial Intelligence (AI) transforms industries by enabling machines to mimic human intelligence.

Artificial Intelligence 52

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Pickl AI

DECEMBER 14, 2023

Different types of statistical models exist, ranging from simple linear regression models to complex machine learning algorithms. Decision Trees Decision trees are a versatile statistical modelling technique used for decision-making in various industries.

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Pickl AI

AUGUST 23, 2023

By extracting insights from these datasets, professionals can make more informed investment decisions, reducing the risk associated with emotional biases. Predictive Analytics One of the most remarkable aspects of Data Science in stock market analysis is its predictive capabilities.

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Pickl AI

MARCH 20, 2024

Aspiring Data Scientists must equip themselves with a diverse skill set encompassing technical expertise, analytical prowess, and domain knowledge. Whether you’re venturing into machine learning, predictive analytics, or data visualization, honing the following top Data Science skills is essential for success.

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Pickl AI

OCTOBER 18, 2023

In this article, we delve into the significance of data quality, how organizations are leveraging various tools to enhance it, and the transformative power of Artificial Intelligence (AI) and Machine Learning (ML) in elevating data quality to new heights. It can be employed for both regression and classification tasks.

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Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

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Pickl AI

SEPTEMBER 23, 2024

Machine Learning Machine Learning (ML) is a crucial component of Data Science. It enables computers to learn from data without explicit programming. ML models help predict outcomes, automate tasks, and improve decision-making by identifying patterns in large datasets.

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Pickl AI

FEBRUARY 4, 2024

Predictive Analytics: Leverage machine learning algorithms for accurate predictions. This makes Alteryx an indispensable tool for businesses aiming to glean insights and steer their decisions based on robust data. Elevate your decision-making process by harnessing the predictive power within your datasets.

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phData

SEPTEMBER 10, 2024

Diagnostic Analytics : This type of analytics goes a step further to explain why churn is happening. Predictive Analytics : Predictive models use historical data to predict future churn. Techniques include machine learning algorithms such as logistic regression, decision trees, and neural networks.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

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Pickl AI

NOVEMBER 2, 2023

A cheat sheet for Data Scientists is a concise reference guide, summarizing key concepts, formulas, and best practices in Data Analysis, statistics, and Machine Learning. It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes.

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ODSC - Open Data Science

JANUARY 7, 2025

Machine Learning As machine learning is one of the most notable disciplines under data science, most employers are looking to build a team to work on ML fundamentals like algorithms, automation, and so on. Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning.

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Defined.ai blog

AUGUST 10, 2023

From voice assistants like Siri and Alexa, which are now being trained with industry-specific vocabulary and localized dialogue data , to more complex technologies like predictive analytics and autonomous vehicles, AI is everywhere. It helps companies streamline operations, improve efficiency, and gain a competitive edge.

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IBM Journey to AI blog

JUNE 5, 2024

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. What are application analytics? Predictive analytics.

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Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. Continuous learning and adaptation will be essential for data professionals. Here are five key trends to watch.

Data Science 52

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Pickl AI

JUNE 6, 2024

Model Building & Training Once the data is ready, data scientists choose appropriate algorithms like regression analysis, decision trees, or machine learning techniques. These algorithms act as frameworks for the model to learn from the historical data, uncovering patterns and relationships between variables.

Internet of Things 52

Internet of Things Data Scientist Data Quality Data Analysis 52

Dataconomy

MARCH 20, 2025

Backpropagation is a cornerstone of machine learning, particularly in the design and training of neural networks. It acts as a learning mechanism, continuously refining model predictions through a process that adjusts weights based on errors.

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How to Learn Machine Learning

MARCH 25, 2025

Understanding Supervised vs Unsupervised Learning: A Comparative Overview Introduction Hello dear readers, hope you’re doing just fine! (Or Or even better than that) Machine learning has transformed the way businesses operate by automating processes, analyzing data patterns, and improving decision-making.

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