Mindforge ML | Foundations to Intelligence
CI CodesmithMindforge ML | Foundations to Intelligence is an educational podcast by Chatake Innoworks Pvt. Ltd., published under the MindforgeAI initiative. This series explores Machine Learning from first principles to real-world applications, aligned with academic syllabi and practical thinking. Designed for students, educators, and curious minds who want to understand how machines learn, reason, and assist... more
| Publishes | Daily | Episodes | 16 | Founded | a month ago |
|---|---|---|---|---|---|
| Categories | CoursesEducation | ||||
Listen to this Podcast
Latest Episodes
Feature engineering does not end at selection or extraction — it must be evaluated carefully.
This episode concludes Unit 3 by exploring how to assess feature quality, avoid common mistakes, and prepare for actual model training in Machine Learning.... more
Sometimes selecting features is not enough — new features must be created.
This episode explores feature extraction and dimensionality reduction, focusing on techniques like PCA and LDA, along with their practical limitations.
Key topics:
*
Fe... more
Not all features contribute equally to learning.
This episode focuses on feature selection — the process of identifying relevant and meaningful features while removing redundant and irrelevant information.
Key topics:
*
Feature relevance: Why ... more
Machine Learning models do not learn from raw data directly — they learn from features.
This episode introduces the idea of features, explains why too many features can harm learning, and explores the curse of dimensionality that motivates feature e... more
Welcome to the finale of Unit 2 in Mindforge ML. We are bridging the gap between raw data and a trainable model.
Computers don't understand text, and models cheat if you let them see the answers. In this episode, we cover the final critical steps: t... more
Welcome to Mindforge ML. In this episode, we explore Feature Scaling—the mathematics of fairness in machine learning.
When one feature ranges from 0-1 and another from 0-10,000, your model gets confused. We discuss how to bring all your data to a le... more
Welcome to Mindforge ML. In this episode, we investigate the rebels of your dataset: outliers.
An outlier can be a critical insight (fraud detection) or a disastrous error (sensor glitch). The difference lies in context. We move beyond simple deleti... more
Welcome to Mindforge ML. In this episode, we tackle the most common enemy of data science: missing values.
Real-world data is rarely perfect. Sensors fail, forms get skipped, and files get corrupted. Simply deleting these gaps can ruin your model, b... more
Key Facts
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #225 |  India/Education/Courses |
Top Courses Podcasts
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Gender Skew | Location | Interests | |||
|---|---|---|---|---|---|
| Professions | Age Range | Household Income | |||
| Social Media Reach | |||||
Frequently Asked Questions About Mindforge ML
Where can I find podcast stats for Mindforge ML?
Rephonic provides a wide range of podcast stats for Mindforge ML. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Mindforge ML and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does Mindforge ML get?
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Mindforge ML, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
What are the audience demographics for Mindforge ML?
Rephonic provides comprehensive predictive audience data for Mindforge ML, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
How many subscribers and views does Mindforge ML have?
To see how many followers or subscribers Mindforge ML has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
How many episodes of Mindforge ML are there?
Mindforge ML launched a month ago and published 16 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact Mindforge ML?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for Mindforge ML?
Rephonic pulls ratings and reviews for Mindforge ML from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for Mindforge ML?
Rephonic provides full transcripts for episodes of Mindforge ML. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.