Mlearning.ai

MAY 5, 2023

It wasn’t until the development of deep learning algorithms in the 2000s and 2010s that LLMs truly began to take shape. Deep learning algorithms are designed to mimic the structure and function of the human brain, allowing them to process vast amounts of data and learn from that data over time.

Natural Language Processing 98

Natural Language Processing Deep Learning Deep Learning Exploratory Data Analysis 98

DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. However, not everyone has deep learning skills or budget resources to spend on GPUs before demonstrating any value to the business. DataRobot Visual AI. Submit Data. Run Autopilot.

Clustering 97

Clustering Deep Learning Deep Learning Exploratory Data Analysis 97

IBM Journey to AI blog

DECEMBER 20, 2023

Unsupervised machine learning Unsupervised learning algorithms—like Apriori, Gaussian Mixture Models (GMMs) and principal component analysis (PCA)—draw inferences from unlabeled datasets, facilitating exploratory data analysis and enabling pattern recognition and predictive modeling.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Heartbeat

FEBRUARY 6, 2024

The exploratory data analysis found that the change in room temperature, CO levels, and light intensity can be used to predict the occupancy of the room in place of humidity and humidity ratio. We will also be looking at the correlation between the variables. We pay our contributors, and we don't sell ads.

Exploratory Data Analysis 52

Exploratory Data Analysis Data Analysis Data Analysis Machine Learning 52

Pickl AI

JULY 18, 2023

Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets. Making data-driven decisions: Data science empowers you to make informed decisions by analyzing and interpreting data.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Heartbeat

MARCH 6, 2024

I will start by looking at the data distribution, followed by the relationship between the target variable and independent variables. Editor's Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners.

Exploratory Data Analysis 52

Exploratory Data Analysis Support Vector Machines Data Analysis Data Analysis 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Mlearning.ai

JULY 17, 2023

It can be applied to a wide range of domains and has numerous practical applications , such as customer segmentation, image and document categorization, anomaly detection, and social network analysis. Encoding should be performed carefully to avoid introducing bias or misinterpretation of the data.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

DagsHub

SEPTEMBER 16, 2024

It is a powerful tool that illuminates patterns, trends, and anomalies, enabling data scientists and stakeholders to make informed decisions. Data Visualization unveils data characteristics, distributions, and relationships, guiding feature engineering and preprocessing.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

SEPTEMBER 5, 2024

Azure Tools Knowledge: Familiarity with Azure Machine Learning , Azure Databricks, and Azure Synapse Analytics. Statistical and Machine Learning Expertise: Understanding statistical analysis, Machine Learning algorithms , and model evaluation.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency. ImageNet).

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

JANUARY 12, 2023

These include the following: Introduction to Data Science Introduction to Python SQL for Data Analysis Statistics Data Visualization with Tableau 5. Data Science Program for working professionals by Pickl.AI Another popular Data Science course for working professionals is offered by Pickl.AI.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52