How do I start my career in Data Science?
In this video, I provide my views on how you can start your career in data science.
I collected a lot of questions from my followers and connections on Twitter and LinkedIn and have started posting vlog kind of videos which answer these questions. This is the first video of the Q&A series.
In this video, you can find answers to questions like:
- What courses need to be learnt for becoming a data scientist?
- Should you do MBA / MS in Data Science? What would be beneficial in the long run?
- Does a PhD help in getting into data science?
- Should one's PhD thesis be in line with the industry…
Watch on YouTube ↗
(saves to browser)
Playlist
Uploads from Abhishek Thakur · Abhishek Thakur · 29 of 60
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
▶
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Intro
Abhishek Thakur
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
Tips N Tricks #1: Send messages to Slack using Python
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
Tips N Tricks #3: Creating a clean inference kernel/notebook on Kaggle
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
Tips N Tricks #4: Using joblib to speed up almost any function (example 1)
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
Tips & Tricks # 7: Fast, convenient & awesome code formatting using Black
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
DeepCamp AI