Pickl AI

APRIL 21, 2025

Data Science, on the other hand, uses scientific methods and algorithms to analyses this data, extract insights, and inform decisions. Big Data technologies include Hadoop, Spark, and NoSQL databases. Machine Learning: Understanding and applying various algorithms. Together, they power data-driven innovation across industries.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Pickl AI

NOVEMBER 4, 2024

Mathematics is critical in Data Analysis and algorithm development, allowing you to derive meaningful insights from data. Linear algebra is vital for understanding Machine Learning algorithms and data manipulation. Scikit-learn covers various classification , regression , clustering , and dimensionality reduction algorithms.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Big Data Technologies: Hadoop, Spark, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Mlearning.ai

MAY 23, 2023

This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). Blind 75 LeetCode Questions - LeetCode Discuss Data Manipulation and Analysis Proficiency in working with data is crucial. Familiarity with libraries like pandas, NumPy, and SQL for data handling is important.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

The MLOps Blog

MAY 31, 2023

From an algorithmic perspective, Learning To Rank (LeToR) and Elastic Search are some of the most popular algorithms used to build a Seach system. We can collect and use user-product historical interaction data to train recommendation system algorithms. are some examples. Let’s understand this with an example.

ML 59

ML ML Algorithm Machine Learning 59

Pickl AI

JULY 20, 2023

Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA).

Analytics 40

Analytics Analytics Big Data Big Data 40