Mlearning.ai

JUNE 14, 2023

Learning Large Language Models The LLM (Foundational Models) space has seen tremendous and rapid growth. With so much information out there. I used this foolproof method of consuming the right information and ended up publishing books , artworks , Podcasts and even an LLM powered consumer facing app ranked #40 on the app store.

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Becoming Human

MARCH 16, 2023

These branches include supervised and unsupervised learning, as well as reinforcement learning, and within each, there are various algorithmic techniques that are used to achieve specific goals, such as linear regression, neural networks, and support vector machines.

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Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. However, the process of creating AI can seem daunting to those who are unfamiliar with the technicalities involved. What is required to build an AI system?

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Heartbeat

APRIL 17, 2023

One of the goals of ML is to enable computers to process and analyze data in a way that is similar to how humans process information. Human brains are capable of processing vast amounts of information from the environment and making complex decisions based on that information. synonyms).

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Pickl AI

AUGUST 1, 2023

Text mining is primarily a technique in the field of Data Science that encompasses the extraction of meaningful insights and information from unstructured textual data. Since most of the data that companies have is unstructured and organized, text mining becomes a significant process. How To Do Text Mining in Python?

Data Analysis 52

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Dataconomy

JUNE 13, 2023

In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. It enables organizations to make informed choices, capitalize on emerging trends, and seize growth opportunities with confidence. What is decision intelligence?

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Pickl AI

AUGUST 1, 2023

As technology continues to impact how machines operate, Machine Learning has emerged as a powerful tool enabling computers to learn and improve from experience without explicit programming. In this blog, we will delve into the fundamental concepts of data model for Machine Learning, exploring their types.

Machine Learning 52

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Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? For more information, click here.

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Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? For more information, click here.

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Pickl AI

NOVEMBER 20, 2024

Scalar Multiplication : Multiplying a vector by a scalar scales each component of the vector. Dot Product : The dot product of two vectors results in a single scalar value and is crucial for measuring similarity. Example In Natural Language Processing (NLP), word embeddings are often represented as vectors.

Machine Learning 52

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Pickl AI

JULY 12, 2024

Deep Learning has been used to achieve state-of-the-art results in a variety of tasks, including image recognition, Natural Language Processing, and speech recognition. Natural Language Processing (NLP) This is a field of computer science that deals with the interaction between computers and human language.

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Pickl AI

JANUARY 29, 2024

As we navigate this landscape, the interconnected world of Data Science, Machine Learning, and AI defines the era of 2024, emphasising the importance of these fields in shaping the future. ’ As we navigate the expansive tech landscape of 2024, understanding the nuances between Data Science vs Machine Learning vs ai.

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Pickl AI

SEPTEMBER 16, 2024

The splits are determined by measures like Gini impurity or information gain. Support Vector Machines (SVM) Support Vector Machines are powerful supervised learning algorithms used for classification and regression tasks. Natural Language Processing: Understanding and generating human language.

Machine Learning 52

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Mlearning.ai

JULY 4, 2023

In the era of data-driven decision making, social media platforms like Twitter have become more than just channels for communication, but also a trove of information offering profound insights into human behaviors and societal trends. This initial data collection lays the foundation for our subsequent analysis and modeling.

Machine Learning 52

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IBM Journey to AI blog

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

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How to Learn Machine Learning

JANUARY 21, 2023

With the advent of artificial intelligence (AI) and natural language processing (NLP) , creating a virtual personal assistant has become more achievable than ever before. This can be done using a combination of voice recognition, text-to-speech, and natural language processing to create an interactive experience.

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Pickl AI

DECEMBER 9, 2024

Inductive bias is crucial in ensuring that Machine Learning models can learn efficiently and make reliable predictions even with limited information by guiding how they make assumptions about the data. Types of Inductive Bias Inductive bias plays a significant role in shaping how Machine Learning algorithms learn and generalise.

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Heartbeat

OCTOBER 11, 2023

Handling Complex and Large Datasets: Machine learning algorithms can handle vast amounts of data and extract meaningful information. Personalization and Recommendation Systems: Machine learning is widely used in recommendation systems, where it analyzes user preferences and behavior to provide personalized recommendations.

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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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IBM Journey to AI blog

JULY 6, 2023

Machine learning can then “learn” from the data to create insights that improve performance or inform predictions. Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis.

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ML Review

MARCH 5, 2019

The problem from an information retrieval (IR) perspective Different situations require different methods for retrieving information. Modern natural language processing has yielded tools to conduct these types of exploratory search, we just need to apply them to the data from valuable sources, such as ArXiv.

AI 52

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Heartbeat

AUGUST 22, 2023

Introduction Text classification is the process of automatically assigning a set of predefined categories or labels to a piece of text. It’s an essential task in natural language processing (NLP) and machine learning, with applications ranging from sentiment analysis to spam detection. You can get the dataset here.

Machine Learning 52

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phData

OCTOBER 21, 2024

What Are Large Language Models? Large Language Models are deep learning models that recognize, comprehend, and generate text, performing various other natural language processing (NLP) tasks. This is especially useful when processing longer inputs. Looking for more in-depth information?

Machine Learning 52

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Pickl AI

SEPTEMBER 30, 2024

Machine Learning, on the other hand, does not follow rigid rules. The system identifies patterns within the data, refines its understanding, and adapts to new information. Key concepts in ML are: Algorithms : Algorithms are the mathematical instructions that guide the learning process.

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Pickl AI

JULY 14, 2023

Even in the time of pandemic, AI has enabled in providing technical solutions to the people in terms of information inflow. Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming.

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Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). It is well understood that the more data a machine learning algorithm has, the more effective it may be. The colour variation provides readers with visual information about the magnitude of quantitative numbers. Dönicke, T.,

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Heartbeat

MARCH 8, 2023

Source: Author Introduction Text classification, which involves categorizing text into specified groups based on its content, is an important natural language processing (NLP) task. Text Categorization Text categorization is a machine-learning approach that divides the text into specific categories based on its content.

Machine Learning 52

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Heartbeat

FEBRUARY 22, 2023

These models have been used to achieve state-of-the-art performance in many different fields, including image classification, natural language processing, and speech recognition. This article delves into using deep learning to enhance the effectiveness of classic ML models.

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Pickl AI

NOVEMBER 28, 2024

Machine Learning Algorithms and Techniques Machine Learning offers a variety of algorithms and techniques that help models learn from data and make informed decisions. Support Vector Machines (SVM) SVMs are powerful classifiers that separate data into distinct categories by finding an optimal hyperplane.

Machine Learning 52

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Pickl AI

JULY 26, 2023

Gender Bias in Natural Language Processing (NLP) NLP models can develop biases based on the data they are trained on. Unstable Support Vector Machines (SVM) Support Vector Machines can be prone to high variance if the kernel used is too complex or if the cost parameter is not properly tuned.

Machine Learning 52

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Pickl AI

SEPTEMBER 12, 2024

By understanding crucial concepts like Machine Learning, Data Mining, and Predictive Modelling, analysts can communicate effectively, collaborate with cross-functional teams, and make informed decisions that drive business success. Join us as we explore the language of Data Science and unlock your potential as a Data Analyst.

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Heartbeat

FEBRUARY 21, 2024

Deep learning uses deep (multilayer) neural networks to process large amounts of data and learn highly abstract patterns. This technology has achieved great success in many application areas, especially in image recognition, natural language processing, autonomous vehicles, voice recognition, and many more.

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Pickl AI

SEPTEMBER 23, 2024

Data Science helps organisations make informed decisions by transforming raw data into valuable information. AI is making a difference in key areas, including automation, language processing, and robotics. Data Analyst Data Analysts are essential in processing and analysing data to generate actionable insights.

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PyImageSearch

JANUARY 2, 2023

Healthcare Efficiency Software-as-a-service companies leverage data like patient history, consultation notes, diagnostic images, public information, and pharmaceutical prescriptions to automate multiple workflows like follow-up appointments. In addition, potential patients enter personal details and health concerns into the app.

Deep Learning 52

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Pickl AI

NOVEMBER 18, 2024

Natural language processing ( NLP ) allows machines to understand, interpret, and generate human language, which powers applications like chatbots and voice assistants. These real-world applications demonstrate how Machine Learning is transforming technology. For instance: For a classification problem (e.g.,

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