Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Differentiate between supervised and unsupervised learning algorithms.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 22, 2024

programs offer comprehensive Data Analysis and Statistical methods training, providing a solid foundation for Statisticians and Data Scientists. It emphasises probabilistic modeling and Statistical inference for analysing big data and extracting information. You will learn by practising Data Scientists.

Hypothesis Testing 52

Hypothesis Testing Data Analysis Data Analysis Data Science 52

Pickl AI

AUGUST 9, 2024

Big Data and Machine Learning The intersection of Big Data and Machine Learning is a critical area of focus in a Big Data syllabus. Students should learn how to leverage Machine Learning algorithms to extract insights from large datasets.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 12, 2024

Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data. There are three main types of Machine Learning: supervised learning, unsupervised learning, and reinforcement learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

SEPTEMBER 12, 2024

Data Science is the art and science of extracting valuable information from data. It encompasses data collection, cleaning, analysis, and interpretation to uncover patterns, trends, and insights that can drive decision-making and innovation.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Mlearning.ai

APRIL 13, 2023

Photo by Robo Wunderkind on Unsplash In general , a data scientist should have a basic understanding of the following concepts related to kernels in machine learning: 1. Support Vector Machine Support Vector Machine ( SVM ) is a supervised learning algorithm used for classification and regression analysis.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Support Vector Machines 52

Pickl AI

APRIL 26, 2024

Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. Explain the difference between supervised and unsupervised learning. Data Analytics Certification Course by Pickl.AI

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52