Data Science Dojo

MAY 27, 2024

Released in 2018, Duplex garnered attention for its ability to handle real-world scenarios, such as making restaurant reservations, with remarkable accuracy and naturalness.

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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. Decision Trees These are a versatile supervised learning algorithm used for both classification and regression tasks.

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Data Science Dojo

AUGUST 19, 2024

These professionals venture into new frontiers like machine learning, natural language processing, and computer vision, continually pushing the limits of AI’s potential. Feature engineering: Creating informative features can help reduce bias and improve model performance.

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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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Dataconomy

JULY 18, 2023

By leveraging artificial intelligence algorithms and data analytics, manufacturers can streamline their quoting process, improve accuracy, and gain a competitive edge in the market. These techniques enable businesses to respond quickly to customer inquiries, optimize pricing strategies, and automate the quotation generation process.

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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? The information from previous decisions is analyzed via the decision tree.

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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? The information from previous decisions is analyzed via the decision tree.

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Pickl AI

AUGUST 1, 2023

Machine Learning models play a crucial role in this process, serving as the backbone for various applications, from image recognition to natural language processing. Examples of supervised learning models include linear regression, decision trees, support vector machines, and neural networks.

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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. For example, linear regression is typically used to predict continuous variables, while decision trees are great for classification and regression tasks.

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Towards AI

FEBRUARY 20, 2024

Linear Regression Decision Trees Support Vector Machines Neural Networks Clustering Algorithms (e.g., Linear Regression Decision Trees Support Vector Machines Neural Networks Clustering Algorithms (e.g., Models trained on sensitive data may inadvertently leak private information. Models […]

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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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Pickl AI

OCTOBER 24, 2024

Reasoning : AI systems analyse data and draw logical conclusions, helping them make informed decisions. Virtual Assistants : AI-driven assistants like Siri and Alexa help users manage daily tasks using natural language processing. From virtual assistants to healthcare diagnostics, AI’s impact is growing rapidly.

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Pickl AI

JANUARY 29, 2024

2024 Tech breakdown: Understanding Data Science vs ML vs AI Quoting Eric Schmidt , the former CEO of Google, ‘There were 5 exabytes of information created between the dawn of civilisation through 2003, but that much information is now created every two days.’

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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. Deep learning is utilized in many fields, such as robotics, speech recognition, computer vision, and natural language processing.

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Pickl AI

OCTOBER 18, 2023

Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends. Data serves as the backbone of informed decision-making, and the accuracy, consistency, and reliability of data directly impact an organization’s operations, strategy, and overall performance.

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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. noun, verb, adjective).

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Dataconomy

JUNE 13, 2023

Making the right decisions in an aggressive market is crucial for your business growth and that’s where decision intelligence (DI) comes to play. In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. What is decision intelligence?

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Chatbots Life

MAY 16, 2023

By integrating generative AI, chatbots can generate more natural and human-like responses, allowing for a more engaging and satisfying user experience. Simple chatbots without generative AI integration rely on pre-programmed responses and rule-based decision trees to guide their interactions with users.

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Pickl AI

NOVEMBER 5, 2024

AI encompasses various subfields, including Machine Learning (ML), Natural Language Processing (NLP), robotics, and computer vision. Together, Data Science and AI enable organisations to analyse vast amounts of data efficiently and make informed decisions based on predictive analytics.

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IBM Journey to AI blog

SEPTEMBER 5, 2023

However, more advanced chatbots can leverage artificial intelligence (AI) and natural language processing (NLP) to understand a user’s input and navigate complex human conversations with ease. Essentially, these chatbots operate like a decision tree.

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Dataconomy

AUGUST 31, 2023

The classification model learns from the training data, identifying the distinguishing characteristics between each class, enabling it to make informed predictions. For example, in text classification, a piece of text can be classified as both “sports” and “politics” if it contains information related to both topics.

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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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Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). Some important things that were considered during these selections were: Random Forest : The ultimate feature importance in a Random forest is the average of all decision tree feature importance. Uysal and Gunal, 2014).

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Pickl AI

SEPTEMBER 30, 2024

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. They process data, identify patterns, and adjust the model accordingly.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. Rule-based chatbots : Also known as decision-tree or script-driven bots, they follow preprogrammed protocols and generate responses based on predefined rules.

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Chatbots Life

SEPTEMBER 11, 2023

Whether engaging in informal chats or crafting professional documents, conveying our thoughts effectively relies on the precision of our language. This limitation has paved the way for more advanced solutions that harness the power of Natural Language Processing (NLP).

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Dataconomy

MAY 25, 2023

By leveraging advanced algorithms and machine learning techniques, IoT devices can analyze and interpret data in real-time, enabling them to make informed decisions and take autonomous actions. This enables them to extract valuable insights, identify patterns, and make informed decisions in real-time.

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Pickl AI

JULY 23, 2023

Exploring Four Types of Analytics: Examples, Explanation, and Applications In today’s data-driven world, analytics has become a crucial aspect of decision-making across various industries. Data, in its most fundamental form, refers to any information, facts, or statistics collected for analysis or reference. What is Data?

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AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. In addition, AssemblyAI has additional Summarization models built for specific industry use cases, including informative, conversational, and catchy.

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AWS Machine Learning Blog

OCTOBER 30, 2024

These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning.

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Pickl AI

NOVEMBER 8, 2023

Decision Tree) Making Predictions Evaluating Model Accuracy (Classification) Feature Scaling (Standardization) Getting Started Before diving into the intricacies of Scikit-Learn, let’s start with the basics. Can I use Scikit-Learn for natural language processing (NLP)?

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Pickl AI

AUGUST 23, 2023

In today’s fast-paced financial landscape, where every second counts, making informed decisions in the stock market is crucial. By extracting insights from these datasets, professionals can make more informed investment decisions, reducing the risk associated with emotional biases.

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AWS Machine Learning Blog

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. In this post, we demonstrate how to build a generative AI financial services agent powered by Amazon Bedrock.

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Cambridge Intelligence

FEBRUARY 20, 2024

FREE: Managing fraud The ultimate guide to fraud detection, investigation and prevention using data visualization GET YOUR FREE GUIDE The role of new & existing technology For many years, credit card companies have relied on analytics, algorithms and decision trees to power their fraud strategy. So where do humans fit into this?

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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. The n_estimators argument is set to 100, meaning that 100 decision trees will be used in the forest.

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How to Learn Machine Learning

DECEMBER 4, 2022

Programming a computer with artificial intelligence (Ai) allows it to make decisions on its own. Numerous techniques, such as but not limited to rule-based systems, decision trees, genetic algorithms, artificial neural networks, and fuzzy logic systems, can be used to do this.

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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. Machine learning engineers can specialize in natural language processing and computer vision, become software engineers focused on machine learning and more.

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