10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Key Takeaways
Abhishek Thakur announces his book 'Approaching (almost) Any Machine Learning Problem' and a new talk show segment on his YouTube channel, where he will invite guests to share their projects and ideas in machine learning and data science.
Full Transcript
hello everyone this is a very special video I made for all of you and it's because I have just reached 10,000 subscribers and I would like to thank you all for supporting me I like making tutorial videos and I will keep them coming as long as you like them so today I would like to announce two different things first one is a book now most of you have heard about the book for those who don't know I'm writing a book called approaching almost any machine learning problem and in a world where most books in these these fields they cost anywhere between sixty two hundred dollars this book is going to cost around fifteen dollars one five and that's what makes it accessible to almost everyone in this video I'm releasing the book cover cover so you can see the cover here and the book will be available in summer 2020 and if you want to be the first one to know when the book is available for buying you can fill out the small form that's in the description box below and the book is going to be very low priced like fifteen dollars so if you're still not able to afford it I will send you a free copy with a good reason the second thing I want to announce is the new segment on my youtube channel now I have seen a lot of people around the world who are working on cool projects but they do not have get a platform to showcase it to the world so that's why I'm starting a new segment on my YouTube channel where I will invite normal people doing cool projects and presenting it to the world it's currently a very high-level idea but I've already started looking if people would be interesting in presenting their work and something called a talk show with me and I've already received a lot of applications a lot of cool projects I still have to go through all of them I have already decided who is going to be the first guest so I'm going to announce it very soon and if you have done something cool in data science or machine learning or I have an awesome idea or the cool tech startup company using machine learning and artificial intelligence and if you would like to talk to me about it hopefully live then fill out the second form in the description box and with this I would like to thank you guys again a lot of cool things are in the pipeline so stay tuned I was supposed to release another video today but I think this one made more sense so the video is going to be release tomorrow instead now so a lot of different cool things are in the pipeline and like subscribe and share because that's the only thing that keeps me motivated to make more videos and see you soon bye
Original Description
Thank you everyone for their support. I have reached 10k subscribers and I have a couple of things I would like to announce in this video.
If you want to be the first one to know when the book: Approaching (almost) Any Machine Learning Problem is available for purchase, fill out this short form: https://bit.ly/approachingalmost
If you want to join as a guest in the talk show to discuss your cool project, fill out this form: https://bit.ly/AbhishekTalks
Follow me on:
Twitter: https://twitter.com/abhi1thakur
LinkedIn: https://www.linkedin.com/in/abhi1thakur/
Kaggle: https://kaggle.com/abhishek
Watch on YouTube ↗
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Playlist
Uploads from Abhishek Thakur · Abhishek Thakur · 17 of 60
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Episode 1.1: Intro and building a machine learning framework
Abhishek Thakur
Episode 1.2: Building an inference for the machine learning framework
Abhishek Thakur
Episode 2: A Cross Validation Framework
Abhishek Thakur
Tips N Tricks #2: Setting up development environment for machine learning
Abhishek Thakur
Episode 3: Handling Categorical Features in Machine Learning Problems
Abhishek Thakur
BERT on Steroids: Fine-tuning BERT for a dataset using PyTorch and Google Cloud TPUs
Abhishek Thakur
Special Announcement: Approaching (almost) any machine learning problem
Abhishek Thakur
Training BERT Language Model From Scratch On TPUs
Abhishek Thakur
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-1)
Abhishek Thakur
Bengali.AI: Handwritten Grapheme Classification Using PyTorch (Part-2)
Abhishek Thakur
Episode 4: Simple and Basic Binary Classification Metrics
Abhishek Thakur
Training Sentiment Model Using BERT and Serving it with Flask API
Abhishek Thakur
Episode 5: Entity Embeddings for Categorical Variables
Abhishek Thakur
Tips N Tricks #5: 3 Simple and Easy Ways to Cache Functions in Python
Abhishek Thakur
Multi-Lingual Toxic Comment Classification using BERT and TPUs with PyTorch
Abhishek Thakur
Text Extraction From a Corpus Using BERT (AKA Question Answering)
Abhishek Thakur
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Abhishek Thakur
Data Processing For Question & Answering Systems: BERT vs. RoBERTa
Abhishek Thakur
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Abhishek Thakur
Sentencepiece Tokenizer With Offsets For T5, ALBERT, XLM-RoBERTa And Many More
Abhishek Thakur
Talks # 1:Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time
Abhishek Thakur
Episode 6: Simple and Basic Evaluation Metrics For Regression
Abhishek Thakur
Talks # 2: Subhaditya Mukherjee - Image restoration using Deep Learning: Dehazing
Abhishek Thakur
Basic git commands everyone should know about
Abhishek Thakur
How do I start my career in Data Science?
Abhishek Thakur
Talks # 3: Lorenzo Ampil - Introduction to T5 for Sentiment Span Extraction
Abhishek Thakur
Detecting Skin Cancer (Melanoma) With Deep Learning
Abhishek Thakur
Talks # 4: Sebastien Fischman - Pytorch-TabNet: Beating XGBoost on Tabular Data Using Deep Learning
Abhishek Thakur
Build a web-app to serve a deep learning model for skin cancer detection
Abhishek Thakur
Talks # 5: Parul Pandey: Data Science, Diversity and Kaggle
Abhishek Thakur
Implementing original U-Net from scratch using PyTorch
Abhishek Thakur
Tips N Tricks # 8: Using automatic mixed precision training with PyTorch 1.6
Abhishek Thakur
Talks # 6: Mani Sarkar: From backend development to machine learning
Abhishek Thakur
Dockerizing the skin cancer detection web application
Abhishek Thakur
How to train a deep learning model using docker?
Abhishek Thakur
Building an entity extraction model using BERT
Abhishek Thakur
Train custom object detection model with YOLO V5
Abhishek Thakur
Talks # 7: Moez Ali: Machine learning with PyCaret
Abhishek Thakur
How to convert almost any PyTorch model to ONNX and serve it using flask
Abhishek Thakur
Hyperparameter Optimization: This Tutorial Is All You Need
Abhishek Thakur
I finally got a copy of "Approaching (Almost) Any Machine Learning Problem"
Abhishek Thakur
Captcha recognition using PyTorch (Convolutional-RNN + CTC Loss)
Abhishek Thakur
Live Q&A: Getting Started With Data Science
Abhishek Thakur
WTFML: Simple, reusable code for PyTorch models
Abhishek Thakur
Talks # 8: Sebastián Ramírez; Build a machine learning API from scratch with FastAPI
Abhishek Thakur
Data Science PC Configs: From Low Range to Super-High Range
Abhishek Thakur
BERT Model Architectures For Semantic Similarity
Abhishek Thakur
I just got access to GitHub's Codespaces and it's amazing!
Abhishek Thakur
Talks # 9: Vladimir Iglovikov; Detecting Masked Faces In The Pandemic World
Abhishek Thakur
Tips To Build A Good Data Science / Machine Learning Project (For Your Portfolio)
Abhishek Thakur
Docker For Data Scientists
Abhishek Thakur
How To Become A Data Scientist In 1 Year (Learn From A Real World Example)
Abhishek Thakur
Talks # 10: Tanishq Abraham; What are CycleGANs? (a novel deep learning tool in pathology)
Abhishek Thakur
Deploy Any Machine Learning Or Deep Learning Model On Google Cloud Platform (App Engine)
Abhishek Thakur
Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
Abhishek Thakur
VS Code (codeserver) on Google Colab / Kaggle / Anywhere
Abhishek Thakur
Talks # 11: Jean-François Puget; Did you know GPUs are not just for Deep Learning?
Abhishek Thakur
End-to-End: Automated Hyperparameter Tuning For Deep Neural Networks
Abhishek Thakur
Deploy Any Machine Learning (or Deep Learning) Endpoint on Google Cloud Platform In 10 minutes
Abhishek Thakur
Ensembling, Blending & Stacking
Abhishek Thakur
More on: ML Maths Basics
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