Hi everyone, this is my first post here - so please be patient! I am starting playing with fastai. I need some help if you please. I have a time series with date-time, temperature and Humidity from 2015 to 2023. The time step its every 20 min. It looks like: date-Time Temperature Humidity 16/9/2018 4:30 15.9 100 16/9/2018 4:50 15.8 100 I made this quick code reading the book. import pandas as pd from fastai.tabular.all import * df = pd.read_csv(‘AgSpiridon_short.csv’) dls = TabularDataLoaders.from_csv(‘AgSpiridon_short.csv’, y_names=“Temperature”, cat_names = [‘date-Time’], cont_names = [‘Humi ..read more

Based on Stack Overflow post. I’m new to fastai. fastai 2.7.5 fastcore 1.4.5 nbdev 1.2.10 torch 1.13.0 torchvision 0.13.0 from fastai import load_learner learn = load_learner('export_2.pkl', cpu=False) >>> ImportError: cannot import name 'load_learner' from 'fastai' (/home/daniel/miniconda3/envs/pdl1lung/lib/python3.9/site-packages/fastai/__init__.py) 4 posts - 2 participants Read full topic ..read more

I am a newbie in Data Science, and wanted to gain deeper application + hands-on knowledge on the same. I was wondering should I start with fastai’s Machine Learning course from 2018 - Introduction to Machine Learning for Coders: Launch · fast.ai , or the latest Deep Learning course :- https://course.fast.ai/ would suffice. I believe the ML course is on an older version of fastAi. Thanks in advance! 2 posts - 2 participants Read full topic ..read more

Hi all, 2 days ago I tried to setup an Amazon SageMaker notebook server: no fastai kernel showed up in the drop down list for kernel selection. Should this kernel still be available? 1 post - 1 participant Read full topic ..read more

I was running notebooks of ML course Got Following error when running fowwing " from fastai.structured import * " ----> 1 from sklearn.ensemble import forest ImportError: cannot import name ‘forest’ from ‘sklearn.ensemble’ (/usr/local/anaconda3/envs/fastai/lib/python3.7/site-packages/sklearn/ensemble/init.py) So I went through modules names in github using following this github.com scikit-learn/sklearn/ensemble at main · scikit-learn/scikit-learn main/sklearn/ensemble scikit-learn: machine learning in Python. Contribute to scikit-learn/scikit-learn development by creating an account on GitH ..read more

Hello All, I am switching from my current field which is web developer to machine learning engineer. I want to know, Is it the right choice to start a career in this field? Can anyone explain me whats the job responsibility of a machine learning engineer and what skills we should have for this? I have checked some soft and hard skills on this article and looking for your opinion. 1 post - 1 participant Read full topic ..read more

Hello, image1203×1115 184 KB As you can see in the image I get 3 tensors of the imagen, how can I merge it as the image show above? Thanks 3 posts - 3 participants Read full topic ..read more

I am installing fastai using several methods, first I used installing on Windows options here: https://github.com/fastai/fastai imgfastai1370×848 77.8 KB This installs the fastai environment in anaconda but I also need the ML course notebooks, how to get them git clone https://github.com/fastai/fastai also does not have courses folder. I am very new, help, been trying for 1 day now. EDIT Should I just do the newer course on deep learning? Is ML taught in that? 5 posts - 2 participants Read full topic ..read more

1. What is artificial intelligence? AI can be described as an area of computer science that simulates human intelligence in machines. It’s about smart algorithms making decisions based on the available data. Whether it’s Amazon’s Alexa or a self-driving car, the goal is to mimic human intelligence at lightning speed (and with a reduced rate of error). tri-tue-nhan-tao 2. What are intelligent agents? An intelligent agent is an autonomous entity that leverages sensors to understand a situation and make decisions. It can also use actuators to perform both simple and complex tasks. In the beginnin ..read more

Hi, I am new to ML and this forum so please pardon my ignorance. I am working on the housing dataset from Kaggle and was looking at the OrdinalEncoder. My question is shouldn’t there be an option to provide OrdinalEncoder with curated ordering in case the natural ordering does not make sense? For example for categories as given below | Ex | Excellent | Gd | Good | TA | Typical/Average | Fa | Fair | Po | Poor It seems there is an inherent ordering to these category values(alphabetical) which is not the same as semantic ordering(EX, Gc, TA, Fa, Po). My impression is this information of order amo ..read more