Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

APRIL 3, 2023

Data Science & Machine Learning There’s an increasing amount of overlap between data scientists and data analysts, as shown by the frameworks and tools noted in each chart. Data Analytics Platforms: Tableau, Power BI, Looker, Alteryx, Google Analytics, SPSS, SAP, Pandas.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

JULY 10, 2024

Additionally, both AI and ML require large amounts of data to train and refine their models, and they often use similar tools and techniques, such as neural networks and deep learning. Inspired by the human brain, neural networks are crucial for deep learning, a subset of ML that deals with large, complex datasets.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

Machine Learning As machine learning is one of the most notable disciplines under data science, most employers are looking to build a team to work on ML fundamentals like algorithms, automation, and so on. Deep Learning Deep learning is a cornerstone of modern AI, and its applications are expanding rapidly.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Mlearning.ai

JULY 11, 2023

The process or lifecycle of machine learning and deep learning tends to follow a similar pattern in most companies. However, it is important to understand that the learning process typically involves performing tasks manually to strengthen your foundational knowledge.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Pickl AI

APRIL 2, 2024

Unsupervised Learning: Finding patterns or insights from unlabeled data. Deep Learning: Neural networks with multiple layers used for complex pattern recognition tasks. Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

SEPTEMBER 5, 2024

It also integrates deeply with Power BI and Azure Machine Learning, providing a seamless workflow from data ingestion to advanced analytics. Support for Deep Learning Frameworks It integrates with TensorFlow, PyTorch, and other Deep Learning frameworks, providing scalable infrastructure for training and deploying complex models.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

AUGUST 9, 2024

Unsupervised Learning Exploring clustering techniques like k-means and hierarchical clustering, along with dimensionality reduction methods such as PCA (Principal Component Analysis). Deep Learning An introduction to deep learning concepts and frameworks like TensorFlow and PyTorch, focusing on their applications in processing large datasets.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 25, 2023

Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc. TensorFlow, Scikit-learn, Pandas, NumPy, Jupyter, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

APRIL 26, 2024

Yes, I am proficient in data visualisation tools such as Tableau, Power BI, and Matplotlib in Python, which I use to create interactive and insightful visualisations for data analysis. Are there any areas in data analytics where you want to improve or learn more? Access to IBM Cloud Lite account.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Dataconomy

APRIL 25, 2023

Phrasee uses NLP and deep learning to generate catchy headlines, subject line calls to action, and body text that matches your brand voice and tone. Image courtesy: Devo Sensity : This is an AI platform that uses deep learning and computer vision to monitor and analyze visual media on the internet.

AI 217

AI AI Artificial Intelligence Artificial Intelligence 217

Data Science Blog

MARCH 14, 2023

GPT-3 ist jedoch noch komplizierter, basiert nicht nur auf Supervised Deep Learning , sondern auch auf Reinforcement Learning. GPT-3 wurde mit mehr als 100 Milliarden Wörter trainiert, das parametrisierte Machine Learning Modell selbst wiegt 800 GB (quasi nur die Neuronen!)

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Pickl AI

MARCH 7, 2025

It includes AI, Deep Learning, Machine Learning and more. Key skills include programming (Python/R), statistical analysis, Machine Learning, data visualization (Tableau/Power BI), and domain knowledge. How Is Machine Learning Different from Traditional Programming?

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Data Science Blog

MARCH 30, 2023

Matching von Zahlungsdaten zur Doppelzahlungserkennung oder die Vorhersage von Prozesszeiten), können mit Machine Learning bzw. Deep Learning auch anspruchsvollere Varianten-Cluster und Anomalien erkannt werden. Wie anfangs erwähnt, haben Unternehmen bei der Einführung von Process Mining die Qual der Wahl.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

ODSC - Open Data Science

MARCH 12, 2025

20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques. While traditional machine learning remains fundamental, its dominance has waned in the face of deep learning and automated machine learning (AutoML).

Data Science 52

Data Science Machine Learning Machine Learning Data Engineering 52