[unable to retrieve full-text content]When it comes to disciplined approaches to feature selection, wrapper methods are those which marry the feature selection process to the type of model being built, evaluating feature subsets in order to detect the model performance between features, and subsequently select the best performing subset.
Original Post: Step Forward Feature Selection: A Practical Example in Python
[unable to retrieve full-text content]Want to generate text with little trouble, and without building and tuning a neural network yourself? Let’s check out a project which allows you to “easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.”
Original Post: Generating Text with RNNs in 4 Lines of Code
[unable to retrieve full-text content]We find 6 tools form the modern open source Data Science / Machine Learning ecosystem; examine whether Python declared victory over R; and review which tools are most associated with Deep Learning and Big Data.
Original Post: The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?
[unable to retrieve full-text content]This article introduces ioModel, an open source research platform that ingests data and automatically generates descriptive statistics on that data.
Original Post: ioModel Machine Learning Research Platform – Open Source
[unable to retrieve full-text content]In his book “Deep Learning with Python,” Francois Chollet outlines a process for developing neural networks with Keras in 4 steps. Let’s take a look at this process with a simple example.
Original Post: The Keras 4 Step Workflow
[unable to retrieve full-text content]Introduction to Dash framework from Plotly, reactive framework for building dashboards in Python. Tech talk covers basics and more advanced topics like custom component and scaling.
Original Post: Overview of Dash Python Framework from Plotly for building dashboards
[unable to retrieve full-text content]This article examines several Natural Language Processing (NLP) courses across a variety of online sources and programming languages.
Original Post: NLP in Online Courses: an Overview
[unable to retrieve full-text content]This 3-month program, created by Ajit Jaokar, who teaches at Oxford, is interactive and delivered by video. Coding examples are in Python. Places limited – check special KDnuggets rate.
Original Post: Learn AI and Data Science rapidly based only on high school math – KDnuggets Offer
[unable to retrieve full-text content]Also How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch; Frameworks for Approaching the Machine Learning Process.
Original Post: KDnuggets™ News 18:n21, May 23: Python eats away at R; Top 2018 Analytics, Data Science, Machine Learning tools; 9 Must-have skills for a Data Scientist
[unable to retrieve full-text content]Python continues to eat away at R, RapidMiner gains, SQL is steady, Tensorflow advances pulling along Keras, Hadoop drops, Data Science platforms consolidate, and more.
Original Post: Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis