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 Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

AUGUST 9, 2024

Unsupervised Learning Exploring clustering techniques like k-means and hierarchical clustering, along with dimensionality reduction methods such as PCA (Principal Component Analysis). Students should understand how to identify patterns in unlabeled data. Students should learn about neural networks and their architecture.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 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’s GPU and TPU instances further accelerate the training of deep learning models.

Azure 52

Azure Data Scientist Data Science Machine Learning 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

Dataconomy

APRIL 25, 2023

AI tools can help you with various aspects of presentation design, such as content generation, slide layout, data visualization, speech synthesis, and more. Phrasee uses NLP and deep learning to generate catchy headlines, subject line calls to action, and body text that matches your brand voice and tone.

AI 217

AI AI Artificial Intelligence Artificial Intelligence 217

Pickl AI

APRIL 2, 2024

Unsupervised Learning: Finding patterns or insights from unlabeled data. Deep Learning: Neural networks with multiple layers used for complex pattern recognition tasks. Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

ODSC - Open Data Science

MARCH 12, 2025

20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques. While traditional machine learning remains fundamental, its dominance has waned in the face of deep learning and automated machine learning (AutoML).

Data Science 52

Data Science Machine Learning Machine Learning Data Engineer 52

Pickl AI

MARCH 7, 2025

Before we dig deeper into this topic and understand some of the key data facts, it is important to know that the technology is a broader spectrum, there are several other technologies that fall under its umbrella. It includes AI, Deep Learning, Machine Learning and more.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52