Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.

Machine Learning 358

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 358

Mlearning.ai

APRIL 25, 2023

Photo by Juraj Gabriel on Unsplash Data analysis is a powerful tool that helps businesses make informed decisions. In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. df['rating'].replace(np.nan, value_counts()[:20].plot(kind="bar",color="Blue")

Data Analysis 52

Data Analysis Data Analysis Python Exploratory Data Analysis 52

Machine Learning (Theory)

JULY 19, 2021

She received the MacArthur Foundation Fellowship in 2004, was awarded the ACM Prize in Computing in 2008, and was recognized as one of TIME Magazine’s 100 most influential people in 2012. Her group designs multiscale models, adaptive sampling approaches, and data analysis tools, and uses both data-driven methods and theoretical formulations.

ML 100

ML ML Machine Learning Machine Learning 100

Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In ML, there are a variety of algorithms that can help solve problems. 2008 (2nd edition). Klein, and E.

Machine Learning 95

Machine Learning Machine Learning AI AI 95

O'Reilly Media

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hadoop 101

Hadoop Algorithm ML ML 101

Mlearning.ai

MAY 15, 2023

Pandas is an open-source, python-based library used in data manipulation applications requiring high performance. The name is derived from “Panel Data” having multidimensional data. This was developed in 2008 by Wes McKinney and was developed for data analysis. Define pandas dataframe.

Python 52

Python ML ML Data Analysis 52

Tableau

DECEMBER 1, 2021

Four reference lines on the x-axis indicate key events in Tableau’s almost two-decade history: The first Tableau Conference in 2008. The first Tableau customer conference was in 2008. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Computers and humans have asymmetric and synergistic data skills. Release v1.0

Tableau 145

Tableau ML ML Database 145