IBM Journey to AI blog

DECEMBER 20, 2023

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. temperature, salary).

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Pickl AI

MARCH 20, 2024

Aspiring Data Scientists must equip themselves with a diverse skill set encompassing technical expertise, analytical prowess, and domain knowledge. Whether you’re venturing into machine learning, predictive analytics, or data visualization, honing the following top Data Science skills is essential for success.

Data Science 52

Data Science Data Scientist Data Wrangling Machine Learning 52

Pickl AI

JULY 1, 2024

If your data exhibits seasonal patterns (e.g., Data Exploration and Visualization Explore the data to understand its characteristics. Use data visualization tools (histograms, scatter plots) to identify patterns, trends, and potential relationships between variables.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 4, 2024

Alteryx’s Capabilities Data Blending: Effortlessly combine data from multiple sources. Predictive Analytics: Leverage machine learning algorithms for accurate predictions. Reporting and Visualization: Craft interactive dashboards and reports seamlessly. Is Alteryx similar to Tableau?

Data Preparation 52

Data Preparation Tableau Data Visualization Analytics 52

Pickl AI

JULY 23, 2023

Using the right data analytics techniques can help in extracting meaningful insight, and using the same to formulate strategies. The analytics techniques like descriptive analytics, predictive analytics, diagnostic analytics and others find application in diverse industries, including retail, healthcare, finance, and marketing.

Analytics 52

Analytics Analytics Predictive Analytics Data Analysis 52

Pickl AI

NOVEMBER 2, 2023

The Business Impact Data Science isn’t just a buzzword; it’s a strategic necessity for modern businesses. By making data-driven decisions, organizations can increase efficiency, reduce costs, and identify growth opportunities. Data Visualization Presenting data in a comprehensible manner is an art.

Data Scientist 52

Data Scientist Data Science Data Visualization Machine Learning 52

IBM Journey to AI blog

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70