Towards AI

JANUARY 10, 2024

Task Orientation How were we doing machine learning almost a year ago? They are called foundation models because, with that wide set of data, you build foundations that need not change every time you adapt it to a specific business use case. And they can handle multiple types of data (images, text, video, and audio).

Machine Learning 111

Machine Learning Machine Learning Exploratory Data Analysis Supervised Learning 111

Pickl AI

JULY 17, 2023

The ability of unsupervised learning to discover similarities and differences in data makes it ideal for conducting exploratory data analysis. Unsupervised Learning Algorithms Unsupervised Learning Algorithms tend to perform more complex processing tasks in comparison to supervised learning.

Machine Learning 52

Machine Learning Machine Learning Clustering K-nearest Neighbors 52

DataRobot Blog

DECEMBER 15, 2022

Let’s run through the process and see exactly how you can go from data to predictions. supervised learning and time series regression). Prepare your data for Time Series Forecasting. Perform exploratory data analysis. When we choose ‘sales’ it’s immediately recognized as a regression problem.

Exploratory Data Analysis 81

Exploratory Data Analysis AI AI Machine Learning 81

Pickl AI

FEBRUARY 12, 2024

This theorem is crucial in inferential statistics as it allows us to make inferences about the population parameters based on sample data. Differentiate between supervised and unsupervised learning algorithms. Here is a brief description of the same.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 22, 2024

The dedicated Statistics module focussing on Exploratory Data Analysis, Probability Theory, and Inferential Statistics. Students learn Maximum Likelihood Estimation, the three M’s of Statistics (Mean, Median, Mode), and critical topics like Central Limit Theorem, Confidence Intervals, Hypothesis Testing, and Linear Regression.

Data Science 52

Data Science Data Analysis Data Analysis Hypothesis Testing 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

Becoming Human

MAY 15, 2023

There is a position called Data Analyst whose work is to analyze the historical data, and from that, they will derive some KPI s (Key Performance Indicators) for making any further calls. For Data Analysis you can focus on such topics as Feature Engineering , Data Wrangling , and EDA which is also known as Exploratory Data Analysis.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

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. In traditional programming, the programmer explicitly defines the rules and logic.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

Decision Trees: A supervised learning algorithm that creates a tree-like model of decisions and their possible consequences, used for both classification and regression tasks. Deep Learning : A subset of Machine Learning that uses Artificial Neural Networks with multiple hidden layers to learn from complex, high-dimensional data.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 10, 2024

Course Content: Machine Learning and deep learning NLP and generative AI Reinforcement learning and computer vision Machine Learning Free Online Course by Pickl.AI Focus on exploratory Data Analysis and feature engineering. Introduction to core Machine Learning concepts.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Pickl AI

JANUARY 12, 2023

In addition to incorporating all the fundamentals of Data Science, this Data Science program for working professionals also includes practical applications and real-world case studies. This particular skill will help you upskill yourself and gain professional excellence.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

AUGUST 9, 2023

Our focus will be hands-on, with an emphasis on the practical application and understanding of essential machine learning concepts. Attendees will be introduced to a variety of machine learning algorithms, placing a spotlight on logistic regression, a potent supervised learning technique for solving binary classification problems.

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

Pickl AI

APRIL 10, 2023

Key Features Data Scientists as its core team of instructor Immersive learning experience Capstone Projects Internship opportunity Job guarantee Complete assistant for placement Instant doubt resolution Work on real-world data sets Course Curriculum The Data Mindset Thinking about data Anatomy of data – dimensions, quality, quantity Data manipulation (..)

Data Science 52

Data Science Machine Learning Machine Learning Python 52