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Anuj Tongse

“Learning, building,... • 1m

Day 8/60: Batch vs. Online Learning! Good morning everyone my name is Anuj Tongse and today is day 8/60 of AI machine learning challenge The AI Machine Learning Challenge continues! Today was a deep dive into how models digest data. 🧠 The Breakdown: Batch Training: Stable but "heavy"—it processes everything at once, requiring massive RAM and time. 🐢 The Disadvantage: Inflexible for fresh data and costly to re-train from scratch. ⚠️ Online Learning: The agile alternative! It updates incrementally as new data arrives—perfect for massive, streaming datasets. ⚡ Visualizing the path through parameter space today really showed how much faster we can iterate with the right strategy.

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Anuj Tongse

“Learning, building,... • 1m

Day 7/60: " Machine has 7 letters " " learning has 8 " You guys better know the reason My name is Anuj Tongse and after the pivot from Deep learning to machine learning Today's updates are here:- The Al Machine Learning Challenge continues! Today

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Anuj Tongse

“Learning, building,... • 1m

Day 1/60: From Scratch to Deep Learning 🧠 I’m Anuj Tongse, a 2nd-year BTech student, and today marks the start of my 60-Day Deep Learning Challenge. > The goal? To move beyond the basics and truly understand the architecture behind the AI revoluti

Anuj Tongse

“Learning, building,... • 1m

Day 4/60: It's all about the Gradient! ⚡ Good morning My name is Anuj Tongse and halfway through the first week of my Deep Learning challenge! Today was a deep dive into: 1. Loss Functions (Measuring the gap between prediction and reality) 2.

Mantra Pandya

Learning is real wea... • 2m

Hello everyone today learning update Today i have statistics for machine learning and data science In which i had studied about various hypothestis test , right now learnt p test in detail On the other hand revised bit of dsa and solved 3 question

lakshya sharan

Do not try, just do ... • 1y

Random Thought : I was wondering, why ChatGPT weren't build on the Increment Learning modle.. Because I might destroy it's algo.... Let me expain.. In the world of machine learning, training models can be approached in two main ways, Batch Lea

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Harshabardhana Parida

Machine Learning Ent... • 1y

The Importance of Analyzing Data 📊 Analyzing data is crucial for gaining insights and taking corrective actions. Through Exploratory Data Analysis (EDA), we understand data better and make informed decisions. Machine learning predicts outcomes, aid

Bhoop Singh Gurjar

AI Deep Explorer | f... • 1y

Day 2/100 : free AI resources sharing topic of day : machine learning Books ✓Machine Learning For Absolute Beginners by Oliver Theobald https://mrce.in/ebooks/Machine%20Learning%20for%20Absolute%20Beginners.pdf ✓Hands-On Machine Learning with

Comet

#freelancer • 1y

Company: Texas Instruments Batch: 2022/2023/2024 Role: Software Engineer- AI & DL Location: Bangalore. Skills: C/ C++, Machine learning/Deep Learning Education: B.Tech/M.Tech Experience: 0.3 months - 22 months Interested candidates email

Anuj Tongse

“Learning, building,... • 1m

Day 2/60: Jab I met Perceptron I’m Anuj Tongse, and for Day 2 of my Deep Learning challenge, I went back to the very beginning: how nature inspired the machines. Today’s deep dive: The Applications of Deep learning like :- Self Driving Car

Yogesh Jamdade

..... • 1y

Tools for developers: Unleash Machine Learning with Colab (Free!) Google Colab lets you explore machine learning without needing a fancy computer. It's free, cloud-based, and runs on powerful servers. Train complex models and analyze massive data