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Top 5 GTX 1660ti Graphics laptops | Best GTX 1660ti Graphics Laptops In India

MSI GF65 Thin(0SDR-1280IN):- Graphics :- NVIDIA GTX 1660ti (DDR6 6GB VRAM) CPU :- Intel i7- 10750H | 6 cores & 12 Threads | 2.60GHz - 5GHz Display :- 15.6" FHD (39.6 cm) IPS-Level 144Hz Panel Laptop with 45% of NTSC Memory & Storage: - 8GB*2 DDR4 2666MHz RAM, expandable to 64 GB | Storage: 512GB NVMe SSD. Battery :- 51Watt Hours HP OMEN (15-en0002AX) Graphics :- NVIDIA GTX 1660ti (DDR6 6GB VRAM) CPU: - Ryzen 5-4600H | 6 cores & 12 Threads | 3.0GHz - 4.0GHz Display :- 15.6-inch Full HD (1920 x 1080) anti-glare IPS display | 60Hz refresh rate, 250 Nits, 45% NTSC Memory and Storage : 8 GB DDR4-3200 SDRAM (1 x 8 GB) (Upgradable upto 16GB) | Storage: 512 GB PCIe NVMe M.2 SSD Battery :- 70.9 Watt Hours ASUS TUF Gaming A15(FA566IU-HN246T) Graphics :- NVIDIA GTX 1660ti (DDR6 6GB VRAM) CPU :- AMD Ryzen 7 4800H | 6 cores & 12 Threads | 3.0GHz - 4.0GHz Display :- 15.6-inch (16:9) LED-backlit FHD (1920x1080) 144Hz Refresh Rate, An...

Top 10 Reasons Why Python is So Popular With Developers in 2021

Python is one of the languages that is witnessing incredible growth and popularity year by year. In 2017, Stackoverflow calculated that python would beat all other programming languages by 2020 as it has become the fastest-growing programming language in the world. It is also considered one of the best programming languages for machine learning. So why is Python so popular? Let’s find out below: 1) Easy to Learn and Use Python language is incredibly easy to use and learn for new beginners and newcomers. The python language is one of the most accessible programming languages available because it has simplified syntax and not complicated, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages. When Guido van Rossum was creating python in the 1980s, he made sure to design it to be a general-purpose language. One of the main reasons ...

Best language for Machine Learning: Which Programming Language to Learn in 2021

If you’re new to the field of machine learning, the toughest part of learning machine learning is deciding where to begin. Whether you are trying to refresh your machine learning skills or making a career transition into machine learning entirely, it is natural to wonder which is the best language for machine learning. With over 700 different programming languages in widespread use, and each having its pros and cons, discovering which is the best language for machine learning is definitely a tough task. The good news, however, is that as you begin your journey as a machine learning engineer, you’ll start to discover which programming language will be most suitable for a business problem you are trying to solve. Career coaches at Springboard often get asked these questions a lot from aspiring machine learning engineers – “What is machine learning exactly?” “How much programming knowledge should I have to begin a career in machine learning?” “Which is the best langu...

Top 10 Humanoid Robots of 2021

Robots come in many shapes and sizes. But, perhaps, the most intriguing, endearing, and acceptable are the ones that resemble us, humans. Humanoid robots are used for research and space exploration, personal assistance and caregiving, education and entertainment, search and rescue, manufacturing and maintenance, public relations, and healthcare. Before the coronavirus pandemic and the economic uncertainty, Stratistics Market Research Consulting expected that the Global Humanoid Robot Market would reach $13 billion by 2026. While future market behavior is now unclear, robot usage is on the rise: Chinese companies were rushing to deploy robots and automation technology, as doctors were grappling with COVID-19. For example, a field hospital staffed by robots—the Smart Field Hospital—opened in Wuhan, China, in early March. There, humanoid robots—donated by CloudMinds Technology, a Silicon Valley company—disinfect, measure temperatures, deliver food and medicine, ...

Probability and Statistics explained in the context of deep learning

Photo by Josh Appel on Unsplash This article is intended for beginners in deep learning who wish to gain knowledge about probability and statistics and also as a reference for practitioners. In my previous article, I wrote about the concepts of linear algebra for deep learning in a top down approach ( link for the article ) (If you do not have enough idea about linear algebra, please read that first).The same top down approach is used here.Providing the description of use cases first and then the concepts. All the example code uses python and numpy.Formulas are provided as images for reuse. Table of contents: Introduction Foundations of probability Measures of central tendency and variability Discrete probability distributions, binomial distribution Continuous probability distributions, uniform and normal distributions Model Accuracy measurement tools Random process and Markov chains Probabilistic programming External resources Introduction: Pro b ab...

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