What is AGI – Artificial General Intelligence?

Artificial General Intelligence (AGI): A Comprehensive Overview for Professionals Artificial General Intelligence (AGI) is a concept that has garnered significant attention in recent years, particularly with the emergence of advanced AI tools like ChatGPT. As a researcher in the field, it is essential to understand the nuances of AGI and its potential implications on various industries. In this essay, we … Read more

Microsoft DP-100 – Designing and Implementing a Data Science Solution on Azure – free questions.

Microsoft Certified Azure Data Scientist Associate, the DP-100 exam measures your ability to accomplish technical tasks like: Example Questions You need to resolve the local machine learning pipeline performance issue. What should you do? A. Increase Graphic Processing Units (GPUs).B. Increase the learning rate.C. Increase the training iterations,D. Increase Central Processing Units (CPUs). Check answerCorrect Answer: A You need to … Read more

Trading with Python Intro – Data Import

Traditionally, there have been two general ways of analyzing market data: In recent years, computer science and mathematics revolutionized trading, it has become dominated by computers helping to analyze vast amounts of available data.  Algorithms are responsible for making trading decisions faster than any human being could. Machine learning and data mining techniques are growing in popularity, all that falls … Read more

Data Scientist Interview Questions – Explain what precision and recall are?

Data Scientist Interview Questions – Explain what precision and recall are.   After the predictive model has been finished, the most important question is: How good is it? Does it predict well? Evaluating the model is one of the most important tasks in the data science project,  it indicates how good predictions are. Very often for classification problems we look at … Read more

How would you validate-test a predictive model?

How would you validate-test a predictive model? Why evaluate/test model at all? Evaluating the performance of a model is one of the most important stages in predictive modeling, it indicates how successful model has been for the dataset. It enables to tune parameters and in the end test the tuned model against a fresh cut of data. Below we will look … Read more

Why would you use Regularization and what it is?

Why would you use Regularization and what it is? In Machine Learning, very often the task is to fit a model to a set of training data and use the fitted model to make predictions or classify new (out of sample) data points. Sometimes model fits the training data very well but does not well in predicting out of sample … Read more

Introduction to TensorFlow

Introduction to TensorFlow. What is TensorFlow? The shortest definition would be, TensorFlow is a general-purpose library for graph-based computation. But there is a variety of other ways to define TensorFlow, for example, Rodolfo Bonnin in his book – Building Machine Learning Projects with TensorFlow brings up definition like this: “TensorFlow is an open source software library for numerical computation using … Read more

Where to learn TensorFlow for Free?

Below a list of free resources to learn TensorFlow: TensorFlow website: www.tensorflow.org Udacity free course: www.udacity.com Google Cloud Platform: cloud.google.com Coursera free course: www.coursera.org Machine Learning with TensorFlow by Nishant Shukla : www.tensorflowbook.com ‘First Contact With TensorFlow’ by Prof. JORDI TORRES: jorditorres.org  or you can order from Amazon: First Contact With Tensorflow Kadenze Academy: www.kadenze.com OpenShift: blog.openshift.com Tutorial by pkmital : github.com Tutorial by HyunsuLee : github.com … Read more

Tensor Flow Cheat Sheet.

TensorFlow Quick Reference Table – Cheat Sheet. TensorFlow is a very popular deep-learning library, with its complexity can be overwhelming, especially for new users. Here is a short summary of often-used functions, if you want to download it in pdf it is available here: TensorFlow CheetSheet – SecretDataScientist.com If you find it useful please share on social media. Import TensorFlow: … Read more

Popular Pandas snippets used in data analysis.

Popular Pandas snippets used in data analysis. Pandas is very popular Python library for data analysis, manipulation, and visualization, I would like to share my personal view on the list of most often used functions/snippets for data analysis. 1.Import Pandas to Python import pandas as pd 2. Import data from CSV/Excel file df=pd.read_csv(‘C:/Folder/mlhype.csv’)   #imports whole csv to pd dataframe … Read more