Pickl AI

AUGUST 1, 2023

It is widely used in various applications such as spam detection, sentiment analysis, news categorization, and customer feedback classification. Machine Learning algorithms, including Naive Bayes, Support Vector Machines (SVM), and deep learning models, are commonly used for text classification.

Data Analysis 52

Data Analysis Data Analysis Python Support Vector Machines 52

Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. Big data and AI have a direct relationship.

Big Data Analytics 122

Big Data Analytics Big Data Analytics Big Data Big Data 122

Towards AI

JUNE 27, 2023

Offering features like TensorBoard for data visualization and TensorFlow Extended (TFX) for implementing production-ready ML pipelines, TensorFlow stands out as a comprehensive solution for both beginners and seasoned professionals in the realm of machine learning.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

IBM Journey to AI blog

DECEMBER 15, 2023

PyTorch is an open-source AI framework offering an intuitive interface that enables easier debugging and a more flexible approach to building deep learning models. It is a popular choice among researchers and developers for rapid software development prototyping and AI and deep learning research. Morgan and Spotify.

AI 82

AI AI Deep Learning Deep Learning 82

Pickl AI

MAY 29, 2024

Mastering programming, statistics, Machine Learning, and communication is vital for Data Scientists. A typical Data Science syllabus covers mathematics, programming, Machine Learning, data mining, big data technologies, and visualisation. Domain-specific knowledge enhances relevance.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 11, 2024

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.

Data Science 52

Data Science Deep Learning Deep Learning Machine Learning 52

ODSC - Open Data Science

AUGUST 21, 2023

NLP and LLMs The NLP and LLMs track will give you the opportunity to learn firsthand from core practitioners and contributors about the latest trends in data science languages and tools, such as pre-trained models, with use cases focusing on deep learning, speech-to-text, and semantic search.

Data Science 52

Data Science Machine Learning Machine Learning Deep Learning 52

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

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.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

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.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

JUNE 7, 2023

Top 10 Best Data Science Project on Github 1. Face Recognition One of the most effective Github Projects on Data Science is a Face Recognition project that makes use of Deep Learning and Histogram of Oriented Gradients (HOG) algorithm. You will need to use the K-clustering method for this GitHub data mining project.

Data Science 52

Data Science Deep Learning Deep Learning Clustering 52

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results.

Machine Learning 68

Machine Learning Machine Learning Data Mining Data Mining 68

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. Scikit-learn: A simple and efficient tool for data mining and data analysis, particularly for building and evaluating machine learning models.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

PyImageSearch

JUNE 19, 2023

machine learning, statistics, probability, and algebra) are employed to recommend our popular daily applications. By the end of the lesson, readers will have a solid grasp of the underlying principles that enable these applications to make suggestions based on data analysis. patterns and correlations in data).

K-nearest Neighbors 56

K-nearest Neighbors Clustering Algorithm Deep Learning 56

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

Heartbeat

OCTOBER 23, 2023

Image from "Big Data Analytics Methods" by Peter Ghavami Here are some critical contributions of data scientists and machine learning engineers in health informatics: Data Analysis and Visualization: Data scientists and machine learning engineers are skilled in analyzing large, complex healthcare datasets.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Big Data Analytics 52

Pickl AI

MARCH 7, 2024

PyTorch Functionality: PyTorch is an open-source machine learning library for Python developed by Facebook’s AI research group. Applications: PyTorch is widely used for building deep learning models, including neural networks for image classification, natural language processing, and reinforcement learning.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Heartbeat

MARCH 8, 2023

R is a popular open-source programming language used for statistical computation and data analysis, as well as for text classification tasks such as basic spam detection, sentiment analysis, and topic labeling. Data mining, text classification, and information retrieval are just a few applications.

Machine Learning 52

Machine Learning Machine Learning Algorithm Data Mining 52

Pickl AI

JULY 17, 2023

Therefore, it mainly deals with unlabelled data. The ability of unsupervised learning to discover similarities and differences in data makes it ideal for conducting exploratory data analysis. Instead, it uses the available labeled data to make predictions based on the proximity of data points in the feature space.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Clustering 52

Pickl AI

APRIL 18, 2023

With the growing use of connected devices, the volumes of data we will create will be even more. Hence, the relevance of Data Analysis increases. Here comes the role of qualified and skilled data professionals. Data Science Online Certificates on My Resume? This clearly highlights the penetration of the Internet.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

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.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 11, 2024

Employers often look for candidates with a deep understanding of Data Science principles and hands-on experience with advanced tools and techniques. With a master’s degree, you are committed to mastering Data Analysis, Machine Learning, and Big Data complexities.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

DagsHub

APRIL 21, 2024

Moving the machine learning models to production is tough, especially the larger deep learning models as it involves a lot of processes starting from data ingestion to deployment and monitoring. It provides different features for building as well as deploying various deep learning-based solutions.

Machine Learning 59

Machine Learning Machine Learning ML ML 59

ODSC - Open Data Science

DECEMBER 19, 2024

Unlike traditional CI tools that require manual input and analysis, Agentic Systems automate these processes, allowing businesses to access real-time insights without the need for continuous human oversight.

Natural Language Processing 40

Natural Language Processing Machine Learning Machine Learning Data Mining 40

Mlearning.ai

JUNE 27, 2023

To address such tasks and uncover behavioral patterns, we turn to a powerful technique in Machine Learning called Clustering. Originally used in Data Mining, clustering can also serve as a crucial preprocessing step in various Machine Learning algorithms. How would we tackle this challenge?

Clustering 52

Clustering Algorithm Data Analyst Machine Learning 52

Heartbeat

FEBRUARY 29, 2024

Photo by Nathan Dumlao on Unsplash Introduction Web scraping automates the extraction of data from websites using programming or specialized tools. Required for tasks such as market research, data analysis, content aggregation, and competitive intelligence. We pay our contributors, and we don’t sell ads.

Python 52

Python Deep Learning Deep Learning Data Quality 52