Data Science Dojo

JUNE 1, 2023

The course covers topics such as linear regression, logistic regression, and decision trees. Machine Learning for Data Science by Carlos Guestrin This is an intermediate-level course that teaches you how to use machine learning for data science tasks.

Machine Learning 195

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Data Science Dojo

MAY 27, 2024

A prominent example is Google’s Duplex , a technology that enables AI assistants to make phone calls on behalf of users for tasks like scheduling appointments and reservations.

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Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities.

Natural Language Processing 52

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Data Science Dojo

AUGUST 6, 2024

It’s a popular choice in data science competitions and is used in fraud detection systems. Natural Language Processing (NLP) Boosting algorithms enhance NLP tasks such as sentiment analysis, language translation, and text summarization.

Machine Learning 195

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Heartbeat

JULY 18, 2023

Source: Author Natural Language Processing (NLP) is a field of study focused on allowing computers to understand and process human language. There are many different NLP techniques and tools available, including the R programming language. Understanding Random Forest” , Analytics Vidhya Comet-ML.

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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 data science? This post will dive deeper into the nuances of each field.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

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. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

Data Science 52

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Pickl AI

NOVEMBER 5, 2024

Summary: Data Science and AI are transforming the future by enabling smarter decision-making, automating processes, and uncovering valuable insights from vast datasets. Enhanced data visualisation aids in better communication of insights. Domain knowledge is crucial for effective data application in industries.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

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. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

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Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

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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. This article explores how AI and Data Science complement each other, highlighting their combined impact and potential.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

MAY 31, 2023

With the expanding field of Data Science, the need for efficient and skilled professionals is increasing. You need to be highly proficient in programming languages to help businesses solve problems. Python is one of the widely used programming languages in the world having its own significance and benefits.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

AUGUST 23, 2023

Investors and traders are constantly seeking ways to gain an edge, and this is where the role of Data Science in stock market analysis comes in. This article delves into the pivotal role of Data Science in stock market analysis, discussing key takeaways that highlight its significance.

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Pickl AI

JULY 18, 2023

Data Science helps businesses uncover valuable insights and make informed decisions. But for it to be functional, programming languages play an integral role. Programming for Data Science enables Data Scientists to analyze vast amounts of data and extract meaningful information.

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Pickl AI

JULY 10, 2023

What is R in Data Science? R is an open-source programming language that you can use for free and is compatible with different operating systems and platforms. As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. How is R Used in Data Science?

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Pickl AI

MAY 24, 2023

To help you understand Python Libraries better, the blog will explain a Python Libraries for Data Science List which you can learn about. This may include for instance in Machine Learning, Data Science, Data Visualisation, image and Data Manipulation. What is a Python Library?

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Data Science Python Machine Learning Machine Learning 52

ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. To help you stay ahead of the curve, ODSC APAC this August 22nd-23rd will feature expert-led training sessions in both data science fundamentals and cutting-edge tools and frameworks. Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

IBM Journey to AI blog

DECEMBER 20, 2023

ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. Naïve Bayes algorithms include decision trees , which can actually accommodate both regression and classification algorithms.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

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., Speech recognition: Enables voice assistants like Siri and Alexa to understand our spoken words.

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Machine Learning Machine Learning ML ML 109

Pickl AI

JANUARY 2, 2025

Summary: Entropy in Machine Learning quantifies uncertainty, driving better decision-making in algorithms. It optimises decision trees, probabilistic models, clustering, and reinforcement learning. Entropy aids in splitting data, refining predictions, and balancing exploration-exploitation.

Machine Learning 52

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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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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

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. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels!

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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. In this blog, we will delve into the fundamental concepts of data model for Machine Learning, exploring their types. What is Machine Learning?

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Machine Learning Machine Learning Support Vector Machines Decision Trees 52

ODSC - Open Data Science

JANUARY 7, 2025

The data science job market is rapidly evolving, reflecting shifts in technology and business needs. Heres what we noticed from analyzing this data, highlighting whats remained the same over the years, and what additions help make the modern data scientist in2025. Joking aside, this does infer particular skills.

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Pickl AI

NOVEMBER 8, 2023

Examples of Scikit Cheat Sheet Loading a Dataset Splitting Data into Training and Testing Sets Creating and Training a Classifier (e.g., Once you have it installed, you are ready to embark on your data science adventure. You need to clean, transform, and prepare your data before feeding it into your model.

Machine Learning 52

Machine Learning Machine Learning Data Science Python 52

Dataconomy

JUNE 13, 2023

These algorithms are carefully selected based on the specific decision problem and are trained using the prepared data. Machine learning algorithms, such as neural networks or decision trees, learn from the data to make predictions or generate recommendations.

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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. AssemblyAI's Summarization Model Results: Bias and Variance Explained Bias and variants are two of the most important topics when it comes to data science.

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AI AI Machine Learning Machine Learning 102

Heartbeat

OCTOBER 11, 2023

Deep learning is utilized in many fields, such as robotics, speech recognition, computer vision, and natural language processing. In many of these domains, it has cutting-edge performance and has made substantial advancements in areas like autonomous driving, speech and picture recognition, and language translation.

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Pickl AI

FEBRUARY 19, 2025

It works by training multiple weak models (often decision trees with one split, known as stumps). Due to its high accuracy, XGBoost is widely used in data science competitions and practical applications like customer churn prediction and sales forecasting. Lets explore some of the most popular ones.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

Heartbeat

APRIL 17, 2023

In the same way, ML algorithms can be trained on large datasets to learn patterns and make predictions based on that data. Named entity recognition (NER) is a subtask of natural language processing (NLP) that involves automatically identifying and classifying named entities mentioned in a text. synonyms).

Natural Language Processing 52

Natural Language Processing Support Vector Machines Machine Learning Machine Learning 52

Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). We will explore how to better understand the data that these models are trained on, and how to evaluate and optimize them for real-world use. Boosting can help to improve the accuracy and generalization of the final model.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

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.

Deep Learning 52

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Pickl AI

JULY 23, 2023

Text Analytics (Natural Language Processing) Text analytics, also known as natural language processing (NLP), involves extracting valuable information and insights from unstructured text data, such as customer reviews, social media posts, or survey responses. Key Features: i. To know more about Pickl.AI

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Pickl AI

JULY 14, 2023

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. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

Artificial Intelligence 52

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Pickl AI

NOVEMBER 28, 2024

Decision Trees These trees split data into branches based on feature values, providing clear decision rules. These networks can learn from large volumes of data and are particularly effective in handling tasks such as image recognition and natural language processing.

Machine Learning 52

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