Molchanovs Freediving Training consists of Base Traning, a training program that is individually crafted for four different levels of freedivers, from beginner levels all the way to master level, that encompass a range of skills that will help improve your freediving. It is created by some of ...
This is an important point and bears repeating. Base training fundamentally is set up to help you handle and perform better in your race-specific phases. It may seem counter-intuitive but hopefully you are starting to see the process Lydiard outlined which I always summarize as “Do the train...
What is intelligence, anyway? When I was in the army I received a kind of aptitude test that all soldiers took and, against a normal of 100, scored 160. No one at the base had ever seen a figure like that and for two hours they made a big fuss over me. (It didn't mean anythin...
Over at thecompany blog, I wrote a post defining Evidence-Based Resistance Training. This phrase, while useful, implies a flowchart or an immutable set of rules for what the research base has determined to be productive. It isn’t and it doesn’t. Here’s my expansion below. In exercise,...
In relation to IT, a knowledge base is a machine-readable resource for the dissemination of information, generally online or with the capacity to be put online. Knowledge bases are an integral component ofknowledge managementsystems. They are used to optimize information collection and information or...
What Is AI Model Training? At its core, an AI model is both a set of selected algorithms and the data used to train those algorithms so that they can make the most accurate predictions. In some cases, a simple model uses only a single algorithm, so the two terms may overlap, but the...
Because the algorithm adjusts as it evaluates training data, the process of exposure and calculation around new data trains the algorithm to become better at what it does. The algorithm is the computational part of the project, while the term “model” is a trained algorithm that can be used...
Semi-supervised learning.This method takes a middle-ground approach. Developers enter a relatively small set of labeled training data as well as a larger corpus of unlabeled data. The semi-supervised learning algorithm is then instructed to extrapolate what it learns from the labeled data to the ...
reference information independently, reducing the need for repeated, lengthy training sessions. This approach standardizes the onboarding process, ensuring the disseminated information to everyone is consistent, speeding up their transition to full productivity and lowering the need for constant managerial ...
Along-lived branchis a Git branch that is never deleted. Some teams prefer to avoid them altogether in favor of short-lived feature and bug-fix branches. For those teams, the goal of any effort is to produce a pull request that merges their work back intomain. This approach can ...