Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? For example, it takes millions of images and runs them through a training algorithm.

Machine Learning 105

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 105

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. Programming Language (R or Python). Programmers can start with either R or Python. it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Python can be added to the skill set later. Where to start?

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

Pickl AI

OCTOBER 27, 2024

Enrolling in a Data Science course keeps you updated on the latest advancements, such as machine learning algorithms and data visualisation techniques. Students learn to work with tools like Python, R, SQL, and machine learning frameworks, which are essential for analysing complex datasets and deriving actionable insights1.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 27, 2024

Participants learn to leverage tools like Excel, Python, and SQL for data manipulation and analysis, enabling better financial modeling and forecasting decision-making. This includes proficiency in programming languages such as Python, R, or SQL and familiarity with statistical analysis tools and data visualization techniques.

Data Visualization 52

Data Visualization SQL Data Analyst Data Analysis 52

Heartbeat

MARCH 21, 2023

Keras is popular high-level API machine learning framework in python that was created by Google. I was interested to see what types of problems were solved and which particular algorithms were used with the different loss functions. Source: Author Welcome to my friendly, non-rigorous analysis of the computer vision tutorials in Keras.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 4, 2023

Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms. Statistical Software and Tools: Use statistical software like R, Python, SAS, or specialised tools to conduct data analysis and generate reports.

Data Analysis 52

Data Analysis Data Analysis Hypothesis Testing Machine Learning 52

The MLOps Blog

MARCH 21, 2023

It is very easy for a data scientist to use Python or R and create machine learning models without input from anyone else in the business operation. The most popular language with string community support that would likely ensure you are making your users’ workflow efficient would likely be Python.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69