Pickl AI

FEBRUARY 22, 2024

Statistical Learning Stanford University Self-paced This program focuses on supervised learning, covering regression, classification methods, LDA (linear discriminant analysis), cross-validation, bootstrap, and Machine Learning techniques such as random forests and boosting.

Data Science 52

Data Science Hypothesis Testing Data Analysis Data Analysis 52

Pickl AI

AUGUST 8, 2024

We’ll explore a Support Vector Machine example, highlight its key benefits and limitations, and guide you through implementing SVM in Python. What is the SVM Algorithm in Machine Learning? Cross-validation is a valuable technique for assessing the model’s performance across different subsets of the data.

Machine Learning 52

Machine Learning Machine Learning Algorithm Support Vector Machines 52

Pickl AI

AUGUST 9, 2024

Apache Spark A fast, in-memory data processing engine that provides support for various programming languages, including Python, Java, and Scala. Students should learn about Spark’s core concepts, including RDDs (Resilient Distributed Datasets) and DataFrames. Students should learn how to train and evaluate models using large datasets.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

SEPTEMBER 18, 2024

Here are the core technical skills you need: Programming Languages Python and R are the most commonly used programming languages in Machine Learning. With its extensive libraries such as NumPy, pandas, and scikit-learn, Python is particularly popular for its ease of use and versatility.

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 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. How do you handle large datasets in Python? Lifetime access to updated learning materials.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Mlearning.ai

JANUARY 31, 2023

In particular, my code is based on rospy, which, as you might guess, is a python package allowing you to write code to interact with ROS. The test runs a 5-fold cross-validation. On the other hand, the labels put by me only rely on time, but in practice we know that’s gonna make errors, so a classifier would learn from bad data.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

Mlearning.ai

APRIL 13, 2023

Before we discuss the above related to kernels in machine learning, let’s first go over a few basic concepts: Support Vector Machine , S upport Vectors and Linearly vs. Non-linearly Separable Data. 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