Data Science Dojo

AUGUST 16, 2024

Generative AI for Data Analytics – Understanding the Impact To understand the impact of generative AI for data analytics, it’s crucial to dive into the underlying mechanisms, that go beyond basic automation and touch on complex statistical modeling, deep learning, and interaction paradigms.

Analytics 195

Analytics Analytics Power BI AI 195

Towards AI

DECEMBER 28, 2023

The industry has evolved from relying on tools like SAS and R to placing a spotlight on data visualization tools like Tableau and PowerBI. The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. CS6910/CS7015: Deep Learning Mitesh M.

Natural Language Processing 121

Natural Language Processing Deep Learning Deep Learning Python 121

DataRobot

APRIL 6, 2020

Perhaps you’re a data scientist who’s looking for ideas about how to get started with advanced time series forecasting , information about our expanded support for deep learning , or maybe just some ideas on how you can automate some of the data science tasks you dread.

Citizen Data Scientist 69

Citizen Data Scientist Data Scientist Data Science Deep Learning 69

Data Science 101

SEPTEMBER 24, 2019

A number of new impactful open source projects have been released lately. Open Source Data Science Projects.

Data Science 104

Data Science Deep Learning Deep Learning Machine Learning 104

Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 378

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 378

ODSC - Open Data Science

APRIL 6, 2023

Think of Tableau, Power BI, and QlikView. This allows for it to be integrated with many different tools and technologies to improve data management and analysis workflows. One set of tools that are becoming more important in our data-driven world is BI tools. Each of these creates visualizations and reports based on data stored in a database.

SQL 98

SQL Data Scientist Database Data Science 98

Analytics Vidhya

NOVEMBER 6, 2020

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 264

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 264

ODSC - Open Data Science

FEBRUARY 2, 2023

This will lead to algorithm development for any machine or deep learning processes. Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

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

Smart Data Collective

OCTOBER 14, 2019

Ludwig is a tool that allows people to build data-based deep learning models to make predictions. In addition to supporting standard SQL, Apache Drill lets you keep depending on business intelligence tools you may already use, such as Qlik and Tableau. Here are some open-source options to consider.

Data Science 94

Data Science SQL Big Data Big Data 94

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

Heartbeat

OCTOBER 13, 2023

Machine learning techniques are commonly used, such as ARIMA (AutoRegressive Integrated Moving Average), exponential smoothing, and deep learning models. Modeling Techniques: Time series data can be analyzed and modeled using various techniques, including statistical models, machine learning models, and deep learning models.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

phData

AUGUST 29, 2024

Check out this dashboard example built in Tableau that provides users with the ability to track key shipment and delivery metrics over time: Client Example A startup food manufacturer was utilizing social media data to track trends and find niche markets to develop new products.

AI 52

AI AI ML ML 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

Pickl AI

APRIL 10, 2023

GreatLearning PG Program in Data Science and Business Analytics Individuals without coding experience and looking to make a career in the Data Science domain can now easily transition with the MyGreatLearning Data Science course. Data Science Course If you are looking for one of the best Data Science courses in India on an online forum, then Pickl.AI

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Pickl AI

SEPTEMBER 23, 2024

AI, particularly Machine Learning and Deep Learning uses these insights to develop intelligent models that can predict outcomes, automate processes, and adapt to new information. Deep Learning: Advanced neural networks drive Deep Learning , allowing AI to process vast amounts of data and recognise complex patterns.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

Pickl AI

MAY 29, 2024

Proficiency with tools like Tableau , Matplotlib , and ggplot2 helps create charts, graphs, and dashboards that effectively communicate insights to stakeholders. The curriculum includes subjects like linear algebra, calculus, probability, and statistics, essential for understanding Machine Learning and Deep Learning Models.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Mlearning.ai

JULY 11, 2023

The process or lifecycle of machine learning and deep learning tends to follow a similar pattern in most companies. Moreover, tools like Power BI and Tableau can produce remarkable results. Prior knowledge of these aspects can significantly facilitate your journey and make it smoother.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Pickl AI

JANUARY 17, 2023

These should include in terms of programming languages whereby you could learn Python and R at the advanced level. You should also develop your skills through data visualisation using Tableau, PowerBI and Excel. Developing your Machine Learning and Deep Learning skills would enable you to become efficient in predicting future datasets.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 25, 2023

Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc. Data Visualization: Matplotlib, Seaborn, Tableau, etc. TensorFlow, Scikit-learn, Pandas, NumPy, Jupyter, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

DataRobot Blog

DECEMBER 15, 2022

In the background, models are being trained in parallel for efficiency and speed—from Tree-based models to Deep Learning models (which will be chosen based on your historical data and target variable) and more. For example, I used Tableau in this use case.

Exploratory Data Analysis 81

Exploratory Data Analysis AI AI Machine Learning 81

Dataconomy

AUGUST 6, 2023

The collective effort of these threads paints a vivid tableau of parallel processing, as the technology works tirelessly to weave an immersive experience from fragmented digital data. Machine learning algorithms, particularly deep learning models, require immense computational power.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence Algorithm Internet of Things 91

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 25, 2023

Tools like Matplotlib, Seaborn, and Tableau can help you create compelling visualizations to communicate your findings effectively. Exploring Data Analysis Techniques Learn various data analysis techniques such as data cleaning, data transformation, and feature engineering. Hands-on Projects The best way to learn is by doing.

Data Science 52

Data Science Data Analysis Data Analysis Data Visualization 52

Pickl AI

MARCH 15, 2023

The internship program will help you learn about Python, Machine Learning, Tableau, and Deep Learning. Moreover, the program ensures that the professionals taking the course work at companies like Microsoft, Google and Meta. Conclusion Data Analytics, an in-demand market field, offers you various opportunities.

Data Analyst 52

Data Analyst Data Science Machine Learning 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

Data Science 101

NOVEMBER 13, 2023

A story pointing one, Tableau specific one, SQL query one, excel formula one << those have a wealth of knowledge bases to pull from and can be a SSOT GPT for me personally Can you explain a bit more about GPTs? Maybe one that helps in technical documentation, instructions and playbooks.

Tableau 59

Tableau Deep Learning Deep Learning AI 59

Pickl AI

SEPTEMBER 11, 2024

Electives focusing on emerging technologies such as Artificial Intelligence, Deep Learning, and Natural Language Processing are also crucial. Key Features: Comprehensive Curriculum: Covers essential topics like Data Optimisation , Machine Learning, Deep Learning , Statistical Analysis, and Data Visualisation.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

APRIL 18, 2023

Here is what you need to add to your resume Analysed Built Conducted Created Collaborated Developed Integrated Led Managed Partnered Support Designed Showcase Your Technical Skills In addition to using the right words and phrases in your resume, you should also highlight the key skills.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 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? Lifetime access to updated learning materials.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

JANUARY 12, 2023

These include the following: Introduction to Data Science Introduction to Python SQL for Data Analysis Statistics Data Visualization with Tableau 5. Udacity also offers other courses which are free of cost. Data Science Program for working professionals by Pickl.AI Also, some prior knowledge in programming and data analysis is helpful.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

DECEMBER 4, 2023

Tableau), communication skills Combine business studies with data courses, engage in case studies, and attend industry conferences. Machine Learning Engineer Designs and develops algorithms that enable computers to learn from and make predictions or decisions based on data. 10,00000 Deep learning, programming (e.g.,

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

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

DrivenData Labs

JULY 19, 2023

Forecasting water output from cloud collection nets (with Dar Si Hmad, Tableau Foundation): Data from local sensors and weather stations can provide an advanced view into how much fresh water will be collected by fog nets for landlocked communities in Southwest Morocco.

AI 130

AI AI Machine Learning Machine Learning 130

Mlearning.ai

AUGUST 18, 2023

However, data scientists in healthcare have employed deep learning technologies to enable easier analysis. For example, deep learning algorithms have already shown impressive results in detecting 26 skin conditions on par with certified dermatologists.

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52