proxiam tech
Story Submitted
Differences-and-Similarities-between-Python-and-other-Programming-Languages- insideaiml.com
proxiam tech
2 years ago in Business and Career
In this blog, we will learn about how python is different from other languages, types of programming language, top programming languages, etc. Read More
Decision-Making-in-Python insideaiml.com
proxiam tech
2 years ago in Business and Career
Do you know how to Decision Making in python works? Before that, let’s understand the need for a decision. In day to day activity, there are certain situations where you need to make the decisions
Python—Data-Operations insideaiml.com
proxiam tech
2 years ago in Business and Career
Python handles data of various formats through two libraries, Pandas and Numpy. In this chapter, we will see some basic examples from each of the libraries on how to operate on data.
Python-Typeerror-TypeError: 'int' object is not subscriptable insideaiml.com
proxiam tech
2 years ago in Business and Career
The problem is in the line, int([n[age]]) What you want is n = int(age) You also need to convert the int to a string for the output
advantages-and-disadvantages-of-decision-trees insideaiml.com
proxiam tech
2 years ago in Business and Career
Compared to other algorithms decision trees requires less effort for data preparation during pre-processing. A decision tree does not require normalization of data.
SoftMaxActivation-Function- insideaiml.com
proxiam tech
2 years ago in Business and Career
SoftMax function turn logits value into probabilities by taking the exponents of each output and then normalize each number by the sum of those exponents so that the entire output vector adds up to one
CRISP-DM methodology insideaiml.com
proxiam tech
2 years ago in Business and Career
CRISP – DM stands for Cross Industry Standard Process for Data Mining. The CRISP-DM methodology is practical, flexible and useful when solving business issues with analytics.
Master-In-Artificial-Intelligence-In-Collaboration-With-IBM insideaiml.com
proxiam tech
2 years ago in Business and Career
This Artificial Intelligence has entered into different domains Health, eCommerce, Retail sector, and many other. Humans' general employment is being replaced with AI, where AI produces profits, saving time, and accuracy. So all the reasons are shifting from human efforts to AI.
Gradient-descent-Algorithm:-In-Depth-explanation insideaiml.com
proxiam tech
2 years ago in Business and Career
Gradient descent is one of the types of an optimization algorithm used to minimize some loss function by iteratively moving in the direction of steepest descent as defined by the negative of the gradient.
MeanSquared-Logarithmic-Error-Loss insideaiml.com
proxiam tech
2 years ago in Business and Career
n Mean Squared Logarithmic Error (MSLE), we begin by calculating the natural logarithm of each of the predicted. Learn more
Iterative-Learning insideaiml.com
proxiam tech
2 years ago in Business and Career
An iteration is a term used in machine learning and indicates the number of times the algorithm's parameters are modernized.
microsoft-cognitive-toolkit-cntk-introduction insideaiml.com
proxiam tech
2 years ago in Business and Career
In this chapter, we will learn what is CNTK, its features, difference between its version 1.0 and 2.0 and important highlights of version 2.7.
Hinge-Loss-and-Square-Hinge-los insideaiml.com
proxiam tech
2 years ago in Business and Career
Hinge loss is another type of loss function which is an alternative of cross-entropy for binary classification problems.
Data-Science-Master-Program-in-faridabad insideaiml.com
proxiam tech
2 years ago in Business and Career
If you learn Data Science, without the knowledge of stats, It means constructing building without proper pillar. Here we cover the concepts from Descriptive Statistics and Inferential Statistics.
Optimizers in Machine-Learning insideaiml.com
proxiam tech
2 years ago in Business and Career
Deep learning algorithms involve optimization in many contexts. For example, while we try to perform inference in models such as PCA, it involves solving an optimization problem. We often use different optimization to write proofs or design algorithms.